The document provides information on the iVue® optical coherence tomography (OCT) device with new Corneal Epithelial Thickness Mapping (ETM) software. The summary includes:
1) A description of the predicate iVue® device and the new subject device which adds ETM software to measure and map corneal epithelial thickness.
2) An overview of the technological differences between the devices, including the new ETM software's automated segmentation, pachymetry maps, and thickness report generation.
3) A summary of performance data provided, including software validation to FDA standards and expanded scan reports to include epithelial thickness mapping.
This 510(k) submission is for the WedgeXTM Bone Wedge, a titanium bone wedge intended for internal bone fixation in the ankle and foot. The device is substantially equivalent to the predicate BIOFOAM® Bone Wedge. Testing showed the WedgeXTM Bone Wedge passed biocompatibility testing according to ISO 10993 and performance bench testing including static, fatigue, and flexural testing. The device will be provided sterile for prescription use and is intended as an alternative to bone grafts for procedures such as opening wedge osteotomies and arthrodesis of the foot and ankle.
This 510(k) submission from Medstrong Inc. provides information on their Viceroy Aneurysm Clip and Marquis Aneurysm Clip Applier. The devices are intended for occlusion of cerebral aneurysms, temporarily or permanently. Supporting data includes descriptions of the devices, their indications for use, comparison to the predicate Yasargil Aneurysm Clips and Appliers, and summaries of bench, animal, and clinical testing performed. The submission contains documentation of biocompatibility testing, sterilization validation, and other required information to demonstrate substantial equivalence to the predicate device.
This document provides information on the GYNECARE TVT SECUR System, including:
- A 510(k) summary outlining the device description, intended use, and substantial equivalence determination.
- Correspondence between the FDA and manufacturer regarding clearance of the device.
- Original submission documents and reviewer information providing details on the device, intended use, and clinical data to support a determination of substantial equivalence.
- A supplement adding additional data to the original submission.
The document contains the manufacturer's request for 510(k) clearance and the FDA's response determining the GYNECARE TVT SECUR System to be substantially equivalent to legally marketed predicate devices.
The CLARITY Aneurysm Clip is intended for permanent occlusion of cerebral aneurysms. It is made of PEEK polymer, while the predicate Sugita Titanium Aneurysm Clip is made of Elgiloy alloy. Testing showed the CLARITY Clip performs comparable to the predicate in biocompatibility, corrosion resistance, and MRI safety. Though different materials, the CLARITY Clip's intended use, jaw-based occlusion mechanism, and substantial equivalence to the RoG Suture Anchor reference device support that it is as safe and effective as existing aneurysm clips.
Best Practices for Preparing and Conducting Pre-Submission MeetingsGreenlight Guru
This presentation covers everything you need to know about Q-Subs, how to create the best packet possible, common pitfalls, strategies for conducting pre sub meetings, and observed differences between divisions.
This session took place live at the Greenlight Guru True Quality Virtual Summit, a three-day event for medical device professionals to learn to get their devices to market faster, stay ahead of regulatory changes, and use quality as their multiplier to grow their device business.
The document discusses medical device regulations from various agencies like the FDA and EU, which classify devices based on risk into Classes I to III. It also covers quality management systems like ISO 13485 that are important for product development and design controls. The key elements of design control as required by regulatory agencies are also summarized, including design planning, input, output, review, verification, and validation.
This document provides an overview of diabetic retinopathy diagnosis through the analysis of retinal images. It discusses the aims of identifying patients with different stages of diabetic retinopathy. The stages of diabetic retinopathy and associated symptoms are defined. Pre-processing steps like color conversion, filtering and segmentation are described. A proposed methodology includes blood vessel and lesion detection through morphological operations, texture analysis, feature extraction and classification. Results of optic disc detection, blood vessel segmentation and texture analysis are shown. The conclusion discusses developing more accurate detection techniques and extracting smaller blood vessels to aid in diagnosis.
This 510(k) submission is for the WedgeXTM Bone Wedge, a titanium bone wedge intended for internal bone fixation in the ankle and foot. The device is substantially equivalent to the predicate BIOFOAM® Bone Wedge. Testing showed the WedgeXTM Bone Wedge passed biocompatibility testing according to ISO 10993 and performance bench testing including static, fatigue, and flexural testing. The device will be provided sterile for prescription use and is intended as an alternative to bone grafts for procedures such as opening wedge osteotomies and arthrodesis of the foot and ankle.
This 510(k) submission from Medstrong Inc. provides information on their Viceroy Aneurysm Clip and Marquis Aneurysm Clip Applier. The devices are intended for occlusion of cerebral aneurysms, temporarily or permanently. Supporting data includes descriptions of the devices, their indications for use, comparison to the predicate Yasargil Aneurysm Clips and Appliers, and summaries of bench, animal, and clinical testing performed. The submission contains documentation of biocompatibility testing, sterilization validation, and other required information to demonstrate substantial equivalence to the predicate device.
This document provides information on the GYNECARE TVT SECUR System, including:
- A 510(k) summary outlining the device description, intended use, and substantial equivalence determination.
- Correspondence between the FDA and manufacturer regarding clearance of the device.
- Original submission documents and reviewer information providing details on the device, intended use, and clinical data to support a determination of substantial equivalence.
- A supplement adding additional data to the original submission.
The document contains the manufacturer's request for 510(k) clearance and the FDA's response determining the GYNECARE TVT SECUR System to be substantially equivalent to legally marketed predicate devices.
The CLARITY Aneurysm Clip is intended for permanent occlusion of cerebral aneurysms. It is made of PEEK polymer, while the predicate Sugita Titanium Aneurysm Clip is made of Elgiloy alloy. Testing showed the CLARITY Clip performs comparable to the predicate in biocompatibility, corrosion resistance, and MRI safety. Though different materials, the CLARITY Clip's intended use, jaw-based occlusion mechanism, and substantial equivalence to the RoG Suture Anchor reference device support that it is as safe and effective as existing aneurysm clips.
Best Practices for Preparing and Conducting Pre-Submission MeetingsGreenlight Guru
This presentation covers everything you need to know about Q-Subs, how to create the best packet possible, common pitfalls, strategies for conducting pre sub meetings, and observed differences between divisions.
This session took place live at the Greenlight Guru True Quality Virtual Summit, a three-day event for medical device professionals to learn to get their devices to market faster, stay ahead of regulatory changes, and use quality as their multiplier to grow their device business.
The document discusses medical device regulations from various agencies like the FDA and EU, which classify devices based on risk into Classes I to III. It also covers quality management systems like ISO 13485 that are important for product development and design controls. The key elements of design control as required by regulatory agencies are also summarized, including design planning, input, output, review, verification, and validation.
This document provides an overview of diabetic retinopathy diagnosis through the analysis of retinal images. It discusses the aims of identifying patients with different stages of diabetic retinopathy. The stages of diabetic retinopathy and associated symptoms are defined. Pre-processing steps like color conversion, filtering and segmentation are described. A proposed methodology includes blood vessel and lesion detection through morphological operations, texture analysis, feature extraction and classification. Results of optic disc detection, blood vessel segmentation and texture analysis are shown. The conclusion discusses developing more accurate detection techniques and extracting smaller blood vessels to aid in diagnosis.
Our Quality Engineer, Madison Wheeler, discusses the characteristics of an efficient product development process for medical devices and how medical device product development should incorporate Quality, Regulatory, and Business needs in parallel.
This document discusses using deep learning and convolutional neural networks to detect diabetic retinopathy through analyzing fundus images. It proposes a CNN model trained on a public Kaggle dataset to classify images based on the severity of retinopathy. The CNN architecture would automatically diagnose retinopathy without user input. The document outlines modules for an app, including uploading images, displaying results, and providing doctor referrals. It aims to address the growing problem of vision loss from diabetic retinopathy worldwide.
Anpr based licence plate detection reportsomchaturvedi
This document provides a report on developing an automatic number plate recognition (ANPR) system using an automatic line tracking robot (ALR). The system aims to recognize vehicle number plates for security purposes like access control. It uses image processing techniques in MATLAB to detect, extract, and identify number plates from images captured by a webcam. The identified numbers are then saved to a database. An ALR is used to simulate a vehicle moving along a guided track. It contains circuitry to detect open and closed doors, and can park in designated areas. A microcontroller controls the robot's movements and door detection. The parallel port of the computer is used to interface with the robot's control circuitry to open doors based on number plate recognition.
Brain Tumor Detection Using Deep Neural Network.pptxAbdulRehman417114
The document summarizes a research paper that proposed a new method for detecting brain tumors using MRI images. The method combines a clustering algorithm for feature extraction with a convolutional neural network (CNN). When applied to a dataset of MRI images, the CNN alone achieved 98.67% accuracy in classification, while the proposed method achieved 99.12% accuracy. This demonstrated the effectiveness of combining feature extraction with CNN for tumor detection compared to using CNN alone. The high accuracy of the proposed method could help physicians accurately diagnose tumors and improve patient outcomes.
Full description of the regulatory process for the medical devices registration in South Korea. It contains information about: classification, substantial equivalence, product license, testing, Korean Good Manufacturing Practice (KGMP)...
Find more on: http://kobridgeconsulting.com/?p=767
A failure of the device to meet its performance specifications or otherwise perform as intended. Performance specifications include all claims made in the labeling for the device. A malfunction should be considered reportable if any one of the following is true:
1. The chance of a death or serious injury
2.The malfunction affect the device in a catastrophic manner that may lead to a death or serious injury
3. The device fail to perform its essential function
4. The malfunction would be likely to cause or contribute to death or serious injury, regardless of how the device is used.
This document provides an overview of the FDA 510(k) submission process for medical devices. It begins with background on FDA authority over medical devices and device classification. It then covers key aspects of preparing a 510(k) submission, including what a 510(k) is, where and when to start the process, how FDA reviews submissions, and tips for formatting a 510(k). The document reviews the typical 510(k) review cycle and outcomes, including potential requests for additional information and decisions of substantial equivalence or non-equivalence. It aims to help medical device companies navigate the 510(k) process and timelines.
This document discusses regulatory affairs for medical devices. It explains that regulatory affairs professionals help medical companies bring products to market by managing regulatory activities. The course prepares students to understand regulations around developing, testing, and commercializing medical devices from agencies like the FDA and in the EU. It covers topics like classifying devices, obtaining approvals, inspections, compliance, quality management systems, and labeling.
This document describes a deep learning approach for detecting diabetic retinopathy using OCT images. It discusses the proposed system which will use OCT images and apply classification algorithms to identify the level of infection. The model will be trained on datasets of infected images to accurately detect regions of infection and the condition level. Image processing techniques like median filtering and edge detection will be used along with statistical data extraction and supervised training to identify clusters and classify images. Results will be compared to evaluate the machine learning models. The system aims to automate diabetic retinopathy detection to improve efficiency over conventional methods.
Quantum computing has several potential applications in medical technology:
1) Drug design - Quantum computers could enable faster and more cost-effective drug discovery by screening large databases of molecular structures.
2) DNA sequencing and analysis - Quantum computers could sequence and analyze DNA much faster than traditional computers, allowing for more reliable genetic testing and predictions.
3) Personalized healthcare - Quantum computers could store and analyze vast amounts of patient health data to provide personalized surveillance and predictions about a patient's future health.
Machine Learning for Medical Image Analysis:What, where and how?Debdoot Sheet
A great career advice for EECS (Electrical, electronics and computer science) graduates interested in machine vision and some advice for a PhD career in Medical Image Analysis.
Software as a Medical Device (SaMD) Challenges and Opportunities for 2021 and...Greenlight Guru
The SARS-CoV-2 pandemic drastically changes the landscape of digital health innovation. The FDA authorized emergency use for a variety of SaMD products including but not limited to mental health, clinical decision support and remote monitoring software applications. In addition, FDA recently launched the Digital Health Center of Excellence, provided updates on the pre-certification program, and host a session to convey FDA’s current thinking on AI/ML SaMD validation.
SaMD manufacturers must keep up with the fast-evolving regulatory landscape and optimize their software development practices with a goal to demonstrate conformance to the QMS requirements effectively and efficiently.
This presentation originally aired during the 2021 State of Medical Device Virtual Summit.
Regulatory requirements for CE CERTIFICATION of Medical Devices in European U...Pallavi Christeen
The EU introduced the CE marking scheme to make trade easier and cheaper between EU countries. It means that a manufacturer claims that their product conforms to the minimum legal requirements for health and safety as laid down in EU directives. In addition, it may be considered a benefit that by implementing the requirements, the product will be safer for the user and this may also reduce damage and liability claims. Additional benefits may include your product being made safer for end-users. The EU introduced the CE marking scheme to make trade easier and cheaper between EU countries. It means that a manufacturer claims that their product conforms to the minimum legal requirements for health and safety as laid down in EU directives. If you manufacture or import a product which falls within the scope of one or more of the New Approach Directives and wish to place your product on the market in any of the member’s states of the European Economic Area (EEA), then you must apply CE marking to your product against the essential requirements of all these applicable directives.
Key Words: European Union, CE marking, New Approach Directives, EEA, Regulatory requirements.
The document provides an overview of the product development cycle for medical devices. It discusses that medical devices are highly regulated and must meet regulatory standards to be approved for use. The development process involves risk analysis, usability testing, clinical evaluation and verification to ensure safety and effectiveness for the intended use before a device can be certified and placed on the market. Standards provide guidelines for quality management, risk management, and specific product categories that must be followed.
This document describes a method for identifying diabetic retinopathy using retinal images. The aim is to efficiently identify diabetic retinopathy by detecting exudates, a key feature. Exudates are identified using k-means clustering and a naive Bayes classifier. The method involves pre-processing images, segmenting images using k-means clustering to label pixels, extracting features based on color and texture, and classifying images as exudates or non-exudates using naive Bayes. The approach detects exudates with 98% success rate and could potentially be expanded to detect other features of diabetic retinopathy like microaneurysms.
Comodo One | IT Help Desk Ticketing SystemKristen theron
This document is an administrator guide for Comodo One MSP's Service Desk module. It begins with an introduction to Comodo One MSP and instructions for signing up for an account. It describes the Comodo One MSP web interface and how to manage administrators and companies. The bulk of the guide covers using the Service Desk module, including the admin panel, managing tickets, knowledgebase, projects, and staff timesheets. It provides overviews of the various configuration options and components within the Service Desk.
Survey on data mining techniques in heart disease predictionSivagowry Shathesh
This document summarizes research on using data mining techniques to predict heart disease. It discusses previous work using classification, clustering, association rule mining and other techniques on several heart disease datasets. Classification algorithms like naive bayes, decision trees and neural networks have been widely used with naive bayes found to often provide the best performance. Feature selection and attribute reduction are also examined. The document provides an overview of the key steps and techniques in medical data mining and predictive analysis for heart disease.
Polarized 3D glasses allow viewers to see 3D images by restricting the light that reaches each eye. They work by projecting two slightly different images that are polarized differently. The glasses contain polarized filters for each eye that allow only the corresponding image to pass through to the proper eye. This technique was developed in the 1930s and was widely used for 3D movies in the 1950s. It provides full color 3D images using inexpensive glasses but has limitations such as reduced resolution from sharing the screen between the two images.
This whitepaper provides an overview of Chinese Medical Device Regulations. This includes an overview of the Chinese medical device market, medical device regulatory authorities, medical device registration procedure and medical device classification. It also provides information on regulations regarding product standard, type testing, and clinical trials. This paper is meant for anyone within the regulatory affairs industry who is looking to learn more about medical device regulations and product registration in China.
For more information, contact us for a free 15 minute consultation at http://www.pacificbridgemedical.com/contact-us/.
Who ever said advanced OCT scanning had to be complicated? When an OCT design puts user experience first, it can be simple to learn and easy to use. So it is with the Optovue iSeries. To be any easier they would have to run themselves—and sometimes they do!
But don’t confuse simplicity with performance. The iSeries systems are fully featured and deliver many exclusive Optovue capabilities such as ganglion cell complex (GCC) analysis with focal loss volume (FLV%) and global loss volume (GLV%) metrics, the iWellnessExam® and the Cornea Advance module, which includes Vault Mapping for specialty lens fitting. The iSeries also benefits from a large, ethnically diverse normative database.
iScan80, the high-speed 80kHz OCT that sets the
standard for efficiency - perfect for ECPs seeking an affordable and versatile OCT system. It’s ideal for
practices with limited staff since iScan80 delivers consistent scan acquisition with minimal training and
vocally guides patients through an entire exam in any of 12 languages.
Our Quality Engineer, Madison Wheeler, discusses the characteristics of an efficient product development process for medical devices and how medical device product development should incorporate Quality, Regulatory, and Business needs in parallel.
This document discusses using deep learning and convolutional neural networks to detect diabetic retinopathy through analyzing fundus images. It proposes a CNN model trained on a public Kaggle dataset to classify images based on the severity of retinopathy. The CNN architecture would automatically diagnose retinopathy without user input. The document outlines modules for an app, including uploading images, displaying results, and providing doctor referrals. It aims to address the growing problem of vision loss from diabetic retinopathy worldwide.
Anpr based licence plate detection reportsomchaturvedi
This document provides a report on developing an automatic number plate recognition (ANPR) system using an automatic line tracking robot (ALR). The system aims to recognize vehicle number plates for security purposes like access control. It uses image processing techniques in MATLAB to detect, extract, and identify number plates from images captured by a webcam. The identified numbers are then saved to a database. An ALR is used to simulate a vehicle moving along a guided track. It contains circuitry to detect open and closed doors, and can park in designated areas. A microcontroller controls the robot's movements and door detection. The parallel port of the computer is used to interface with the robot's control circuitry to open doors based on number plate recognition.
Brain Tumor Detection Using Deep Neural Network.pptxAbdulRehman417114
The document summarizes a research paper that proposed a new method for detecting brain tumors using MRI images. The method combines a clustering algorithm for feature extraction with a convolutional neural network (CNN). When applied to a dataset of MRI images, the CNN alone achieved 98.67% accuracy in classification, while the proposed method achieved 99.12% accuracy. This demonstrated the effectiveness of combining feature extraction with CNN for tumor detection compared to using CNN alone. The high accuracy of the proposed method could help physicians accurately diagnose tumors and improve patient outcomes.
Full description of the regulatory process for the medical devices registration in South Korea. It contains information about: classification, substantial equivalence, product license, testing, Korean Good Manufacturing Practice (KGMP)...
Find more on: http://kobridgeconsulting.com/?p=767
A failure of the device to meet its performance specifications or otherwise perform as intended. Performance specifications include all claims made in the labeling for the device. A malfunction should be considered reportable if any one of the following is true:
1. The chance of a death or serious injury
2.The malfunction affect the device in a catastrophic manner that may lead to a death or serious injury
3. The device fail to perform its essential function
4. The malfunction would be likely to cause or contribute to death or serious injury, regardless of how the device is used.
This document provides an overview of the FDA 510(k) submission process for medical devices. It begins with background on FDA authority over medical devices and device classification. It then covers key aspects of preparing a 510(k) submission, including what a 510(k) is, where and when to start the process, how FDA reviews submissions, and tips for formatting a 510(k). The document reviews the typical 510(k) review cycle and outcomes, including potential requests for additional information and decisions of substantial equivalence or non-equivalence. It aims to help medical device companies navigate the 510(k) process and timelines.
This document discusses regulatory affairs for medical devices. It explains that regulatory affairs professionals help medical companies bring products to market by managing regulatory activities. The course prepares students to understand regulations around developing, testing, and commercializing medical devices from agencies like the FDA and in the EU. It covers topics like classifying devices, obtaining approvals, inspections, compliance, quality management systems, and labeling.
This document describes a deep learning approach for detecting diabetic retinopathy using OCT images. It discusses the proposed system which will use OCT images and apply classification algorithms to identify the level of infection. The model will be trained on datasets of infected images to accurately detect regions of infection and the condition level. Image processing techniques like median filtering and edge detection will be used along with statistical data extraction and supervised training to identify clusters and classify images. Results will be compared to evaluate the machine learning models. The system aims to automate diabetic retinopathy detection to improve efficiency over conventional methods.
Quantum computing has several potential applications in medical technology:
1) Drug design - Quantum computers could enable faster and more cost-effective drug discovery by screening large databases of molecular structures.
2) DNA sequencing and analysis - Quantum computers could sequence and analyze DNA much faster than traditional computers, allowing for more reliable genetic testing and predictions.
3) Personalized healthcare - Quantum computers could store and analyze vast amounts of patient health data to provide personalized surveillance and predictions about a patient's future health.
Machine Learning for Medical Image Analysis:What, where and how?Debdoot Sheet
A great career advice for EECS (Electrical, electronics and computer science) graduates interested in machine vision and some advice for a PhD career in Medical Image Analysis.
Software as a Medical Device (SaMD) Challenges and Opportunities for 2021 and...Greenlight Guru
The SARS-CoV-2 pandemic drastically changes the landscape of digital health innovation. The FDA authorized emergency use for a variety of SaMD products including but not limited to mental health, clinical decision support and remote monitoring software applications. In addition, FDA recently launched the Digital Health Center of Excellence, provided updates on the pre-certification program, and host a session to convey FDA’s current thinking on AI/ML SaMD validation.
SaMD manufacturers must keep up with the fast-evolving regulatory landscape and optimize their software development practices with a goal to demonstrate conformance to the QMS requirements effectively and efficiently.
This presentation originally aired during the 2021 State of Medical Device Virtual Summit.
Regulatory requirements for CE CERTIFICATION of Medical Devices in European U...Pallavi Christeen
The EU introduced the CE marking scheme to make trade easier and cheaper between EU countries. It means that a manufacturer claims that their product conforms to the minimum legal requirements for health and safety as laid down in EU directives. In addition, it may be considered a benefit that by implementing the requirements, the product will be safer for the user and this may also reduce damage and liability claims. Additional benefits may include your product being made safer for end-users. The EU introduced the CE marking scheme to make trade easier and cheaper between EU countries. It means that a manufacturer claims that their product conforms to the minimum legal requirements for health and safety as laid down in EU directives. If you manufacture or import a product which falls within the scope of one or more of the New Approach Directives and wish to place your product on the market in any of the member’s states of the European Economic Area (EEA), then you must apply CE marking to your product against the essential requirements of all these applicable directives.
Key Words: European Union, CE marking, New Approach Directives, EEA, Regulatory requirements.
The document provides an overview of the product development cycle for medical devices. It discusses that medical devices are highly regulated and must meet regulatory standards to be approved for use. The development process involves risk analysis, usability testing, clinical evaluation and verification to ensure safety and effectiveness for the intended use before a device can be certified and placed on the market. Standards provide guidelines for quality management, risk management, and specific product categories that must be followed.
This document describes a method for identifying diabetic retinopathy using retinal images. The aim is to efficiently identify diabetic retinopathy by detecting exudates, a key feature. Exudates are identified using k-means clustering and a naive Bayes classifier. The method involves pre-processing images, segmenting images using k-means clustering to label pixels, extracting features based on color and texture, and classifying images as exudates or non-exudates using naive Bayes. The approach detects exudates with 98% success rate and could potentially be expanded to detect other features of diabetic retinopathy like microaneurysms.
Comodo One | IT Help Desk Ticketing SystemKristen theron
This document is an administrator guide for Comodo One MSP's Service Desk module. It begins with an introduction to Comodo One MSP and instructions for signing up for an account. It describes the Comodo One MSP web interface and how to manage administrators and companies. The bulk of the guide covers using the Service Desk module, including the admin panel, managing tickets, knowledgebase, projects, and staff timesheets. It provides overviews of the various configuration options and components within the Service Desk.
Survey on data mining techniques in heart disease predictionSivagowry Shathesh
This document summarizes research on using data mining techniques to predict heart disease. It discusses previous work using classification, clustering, association rule mining and other techniques on several heart disease datasets. Classification algorithms like naive bayes, decision trees and neural networks have been widely used with naive bayes found to often provide the best performance. Feature selection and attribute reduction are also examined. The document provides an overview of the key steps and techniques in medical data mining and predictive analysis for heart disease.
Polarized 3D glasses allow viewers to see 3D images by restricting the light that reaches each eye. They work by projecting two slightly different images that are polarized differently. The glasses contain polarized filters for each eye that allow only the corresponding image to pass through to the proper eye. This technique was developed in the 1930s and was widely used for 3D movies in the 1950s. It provides full color 3D images using inexpensive glasses but has limitations such as reduced resolution from sharing the screen between the two images.
This whitepaper provides an overview of Chinese Medical Device Regulations. This includes an overview of the Chinese medical device market, medical device regulatory authorities, medical device registration procedure and medical device classification. It also provides information on regulations regarding product standard, type testing, and clinical trials. This paper is meant for anyone within the regulatory affairs industry who is looking to learn more about medical device regulations and product registration in China.
For more information, contact us for a free 15 minute consultation at http://www.pacificbridgemedical.com/contact-us/.
Who ever said advanced OCT scanning had to be complicated? When an OCT design puts user experience first, it can be simple to learn and easy to use. So it is with the Optovue iSeries. To be any easier they would have to run themselves—and sometimes they do!
But don’t confuse simplicity with performance. The iSeries systems are fully featured and deliver many exclusive Optovue capabilities such as ganglion cell complex (GCC) analysis with focal loss volume (FLV%) and global loss volume (GLV%) metrics, the iWellnessExam® and the Cornea Advance module, which includes Vault Mapping for specialty lens fitting. The iSeries also benefits from a large, ethnically diverse normative database.
iScan80, the high-speed 80kHz OCT that sets the
standard for efficiency - perfect for ECPs seeking an affordable and versatile OCT system. It’s ideal for
practices with limited staff since iScan80 delivers consistent scan acquisition with minimal training and
vocally guides patients through an entire exam in any of 12 languages.
The document provides instructions for acquiring OCT scans using the Cirrus HD-OCT system. It describes the hardware components integrated into the Cirrus unit and identifies each part. It then explains the steps for adding a new patient, selecting the desired scan type, preparing the patient, and acquiring the scan. This involves using the iris viewport to center the pupil, focusing the fundus viewport, optimizing the scan placement over the area of interest, and capturing the scan image. Adjustments can be made to the brightness, contrast and focus during alignment.
This document describes a new software called VITAN that can automatically analyze optical coherence tomography (OCT) images and quantify vitreous inflammation in an objective manner. The software segments vitreous tissue from OCT scans and measures vitreous intensity and texture, which correlate moderately with clinical assessments of vitreous haze. It requires no human input, completing analysis within 2 seconds. This automated method could provide an objective marker of vitreous inflammation for both clinical use and trials of treatments for uveitis.
Eye Blink and Hand Gesture detection For Aid of Paralyzed PatientsIRJET Journal
This document describes an assistive technology system called Paral-Eye that uses eye blink detection and hand gesture recognition to help paralyzed patients control home appliances. The system tracks the user's face using Haar cascade classifiers to detect eye blinks. It also uses flex sensors in a glove to detect hand gestures by measuring changes in resistance as the user flexes their fingers. Different blinks and gestures are mapped to commands to control lights, fans, and other devices. The goal is to allow paralyzed patients to have more independence and functionality through this eye and hand-based assistive system when caregivers are not present. The document provides background on paralysis and reviews related works before describing the modules, algorithms, and software used to implement
The Eyestar 900 features swept-source technology, enabling precise measurement, as well as topographic assessment of the front and back corneal surface and the anterior chamber, including the lens, as well as imaging of all these structures. It also includes cornea-to-retina biometry of the entire eye.
Next Gen Ophthalmic Imaging for Neurodegenerative Diseases and OculomicsPetteriTeikariPhD
Shallow literature analysis on recent trends in (multimodal) ophthalmic imaging with focus on neurodegenerative disease imaging / oculomics. Open-ended literature review on what you could be building next.
#1/2: Hardware
#2/2: Computational imaging (coming)
Alternative download link:
https://www.dropbox.com/scl/fi/ebp5xkhm3ngfu80hw0lvo/retina_imaging_2024.pdf?rlkey=eeikf3ewxdb481v06wxm34mqu&dl=0
From Optovue, the company that pioneered OCT-A and the acknowledged leader in OCT innovation, SOLIX delivers multiple tools for a new generation of disease management that improves throughput and enables superior patient care. SOLIX features ultra-high-speed scanning for a FullRange field of view that is wide and deep, yet does not sacrifice image clarity and resolution.
NEW GE Volusons in Stock! The E8 BT14 2014 and 2015 never used models at Reds...Keith Rubenstein
The document summarizes the Voluson E8 ultrasound system from GE Healthcare. It highlights the system's improved image quality from new probes and automated tools. The system aims to make exams easier, faster and more comfortable for clinicians through ergonomic design and features that streamline workflows like automated volume acquisition of the fetal heart. When combined with GE's ViewPoint software, the system can generate structured reports, archive images and volumes, and interface with other systems. GE provides various support services to users of the Voluson E8 system.
This document summarizes the implementation of whole slide imaging (WSI) for surgical pathology at the Robert J. Tomsich Pathology & Laboratory Medicine Institute. It discusses how the ePathology infrastructure has evolved from a single scanner in 2010 to supporting remote frozen section interpretation, international consultations, and digital education resources. The system utilizes high-resolution slide scanners, secure web-based viewing software, and large storage capacities. Validation studies have supported the use of WSI for primary diagnoses, consultations, and frozen section interpretation. The goal is to facilitate remote work and increase efficiencies while preparing for potential FDA approval of digital pathology for primary diagnosis.
Schneider.2011.an open source low-cost eye-tracking system for portable real-...mrgazer
This document describes an open-source, low-cost, portable eye-tracking system consisting of self-built tracking glasses with attached cameras. The system is based on modifications made to the ITU Gaze Tracker software to allow for calibration in 3D space, synchronization of eye and scene videos, and both real-time and offline tracking. Evaluation results showed the system provides useful eye tracking for indoor and outdoor use, with accuracy between 0.86-1.28 degrees, though not as high as commercial systems. Limitations include unstable lighting conditions outdoors and constraints of USB bandwidth.
The document summarizes the development of a low-cost, portable fundus camera for screening diabetic retinopathy. A team of biomedical and mechanical engineers leveraged existing camera hardware and open source software to create a graphical user interface application to control the camera. Key components included a 4MP sensor, touchscreen, solid state drive, and custom illumination system. The camera was designed to attach to multiple mounts and be operated handheld to allow for retinal imaging by general practitioners and reduce blindness from undiagnosed diabetic retinopathy.
The document provides information about products from various ophthalmic equipment companies that will be displayed at the Advancing Optometry Education 2021 virtual conference. It lists companies such as Oculus, Heidelberg Engineering, Metrovision, Takagi, and G-Medics and provides brief descriptions of 1-3 of their key products, such as the Pentacam HR, Spectralis OCT, Myopia Master, Corvis ST, and portable non-contact tonometer. The document aims to inform conference attendees about the latest ophthalmic technologies and equipment that will be showcased.
Measuring Heart Rate from Video using EVMIRJET Journal
This document discusses measuring heart rate from video footage using Eulerian Video Magnification (EVM). EVM is a technique that amplifies subtle visual changes in video, such as color variations related to blood flow, that are imperceptible to the human eye. The document reviews previous research on using EVM to measure heart rate and other vital signs non-invasively from video. It then outlines the proposed methodology, which involves collecting CCTV footage of faces, applying EVM to amplify color changes from blood pulsations, performing frequency analysis to extract the heart rate signal, and validating the results against a reference measurement. The goal is to demonstrate how EVM can be used to obtain vital sign information from standard video footage
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1. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
510(k) SUMMARY
(per 21 CFR §807.92)
iVue Model 100 with Corneal Epithelial Thickness Mapping
I. GENERAL INFORMATION
Submitter: Optovue, Inc.
2800 Bayview Drive
Fremont, CA 94538
Est. Registration No.: 3005950902
Contact Person: Thomas Navarro, RAC
Advisor, Regulatory and Quality Affairs
Direct: (510) 897-1728
Fax: (510) 651-2516
Email: tom_navarror@optovue.com
Date Summary Prepared: November 23, 2016
II. SUBJECT DEVICE
Trade Name: iVue®
Model 100
Common Name: Optical Coherence Tomography (OCT)
Classification Name: Ophthalmoscope, AC-powered
Device Classification: Class II (21 CFR§ 886.1570)
Product Code: HLI (ophthalmoscope, ac-powered)
Subsequent Product Code: OBO (tomography, optical coherence)
III. PREDICATE DEVICE
Company: Optovue, Inc.
Device: iVue®
with Normative Database (K121739)
Cleared: 510(k) K121739 on 18-January-2013
2. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
IV. DEVICE DESCRIPTION
Introduction
The iVue is used to capture, store, display and print spectral domain-optical coherence
tomography (SD-OCT) images of the posterior and anterior structure of the eye. The device
software includes a Normative Database (NDB), consisting of OCT data from a range of known
normal subjects that can be used to compare a new patient’s measurements in relation to the
normal distribution.
iVue is a computer controlled ophthalmic imaging system using either a laptop computer or “all-
in-one” computer (where the computer is integrated into the monitor). For laptop systems there
are two control box options 110 vs 230 volts. They interface between the motor column and the
medical power supply for the computer.
iVue System Key Functional Components
The iVue system contains the following hardware components:
Scanner Head: the scanner is the main component of the iVue system. It is used to view
and scan the patient’s eye, collect the OCT signal, and send it to the computer for
processing.
Computer: the system computer, either a laptop or All-in-One (AIO, which includes the
computer and monitor in one unit), is approved for medical use. It supports scanner
operation and processes, stores and displays exam data through the application software.
The searchable iVue database stores and organizes patient and exam data.
Control Box: the control box supports operation of the scanner and contains the backup
hard disk.
Joystick and Chinrest Assembly: the joystick moves the scanner left and right, forward
and back, and align it with the patient’s eye to capture the scan.
Footswitch (optional): the footswitch provides another way to capture scans, including
auto-adjustment, capture and saving.
Motorized Table (optional): a motorized table is optional. Customers may order the table in
two input voltages of 120V or 230V.
Cornea Adapter Module: the cornea lens adapter is attached to the front of the instrument
to enable the iVue to image the cornea and anterior chamber of the eye.
3. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
iVue Device Characteristics
The device scans a patient’s eye and uses a low coherence interferometer to measure the
reflectivity of the retinal tissue. The cross sectional retinal tissue structure is composed of
sequence of A-scans. It has a traditional patient and instrument interface like most ophthalmic
devices. The patient will rest their head on the forehead and chin rest while the operator uses
joystick to align the device to patient’s eye. The computer has a graphic user interface for
acquiring and analyzing the image.
iVue also has a cornea lens adapter, which can be attached to the front of the instrument to enable
the iVue to image the cornea and anterior chamber of the eye. This lens adapter is called the
Corneal Anterior Module, or “CAM.”
The iVue device uses two light sources for illumination. A near-infrared (but still visible) LED is
used for illumination during alignment to the patient’s eye with a central wavelength in the 735-
850nm range. A superluminescent diode (SLD) is used to illuminate the retina using a wavelength
of 840nm.
The subject iVue device with ETM software measures the epithelial cell layer. The device scans
the patient’s eye using a low coherence interferometer to measure the reflectivity of the corneal
tissue. The cross-sectional corneal image is composed of a sequence of A-scans. The computer
has a graphic user interface for acquiring and analyzing the image. The iVue ETM software
modification also expands the pachymetry scan pattern for corneal epithelial measurements,
automates segmentation for the posterior boundary, provides a thickness map for the central 6
mm diameter, and generates reports and associated data.
The iVue device has a chin rest and forehead rest that come into contact with the patient’s skin.
The chin rest and forehead rest can be cleaned with a disinfectant, such as a wipe with an isopropyl
alcohol pad or with another germicide using a clean cloth. The iVue is intended to be used in
clinical settings such as a hospital, eye clinic or doctor’s exam room.
V. PROPOSED INDICATIONS FOR USE
The iVue®
is a non-contact, high resolution tomographic imaging device. It is intended for in-vivo
imaging, axial cross-sectional, and three-dimensional imaging and measurement of anterior and
posterior ocular structures, including retina, retinal nerve fiber layer, ganglion cell complex
(GCC), optic disc, cornea, corneal epithelia, corneal stroma and anterior chamber of the eye. With
the integrated normative database, the iVue with Normative Database is a quantitative tool for the
comparison of retina, retinal nerve fiber layer, ganglion cell complex, and optic disc
measurements to a database of known normal subjects. The iVue is indicated for use as a device
to aid in the diagnosis, documentation, and management of ocular health and diseases in the adult
population.
4. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
VI. COMPARISON OF TECHNOLOGICAL CHARACTERISTICS WITH THE
PREDICATE DEVICE
Both the predicate iVue device and subject iVue with corneal ETM software are used to capture
spectral domain-optical coherence tomography (SD-OCT) images of the eye. The predicate iVue
device with Normative Database (NDB) was previously verified for performance and
functionality to assure conformance to the requirements for its intended use.
At a high level, both devices are based on the following same technological elements:
Scanner Head: used to view and capture scans of the patient’s eye
Computer: supports scanner operation and processes, stores and displays exam data
Normative Database (NDB): consisting of OCT data that can be used to compare a new
patient’s measurements in relation to the normal distribution
The following technological differences exist between the subject and predicate devices:
Corneal Epithelial Thickness Mapping (ETM): used to provide the pachymetry maps and
the corneal epithelial thickness maps
Automatic Segmentation: for the posterior boundary of the epithelial layer to generate
ETM thickness maps
Software-generated Reports: to include corneal epithelial thickness maps and associated
data
VII. PERFORMANCE DATA
The following performance data were provided in support of the substantial equivalence
determination.
Software Validation
The subject iVue device has the additional corneal ETM software module. Software
documentation complies with the determination of a “moderate” Level of Concern device. Device
software was verified and validated to support the proposed indications for use according to IEC
62304:2006 Medical device software – Software life cycle processes and FDA’s General
Principles of Software Validation; Final Guidance for Industry and FDA Staff.
The iVue software version 2016.2 with corneal ETM software is the final version incorporated
into this 510(k) premarket notification. The iVue with ETM software provides a corneal thickness
(pachymetry) map, and the corneal epithelial thickness map (ETM) for the central 6mm diameter.
The new software version consists of modifying the cornea pachymetry scan pattern for ETM
scan, adding automatic segmentation for the posterior boundary of the epithelial layer to generate
5. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
ETM thickness maps, and updating software-generated reports to include corneal epithelial
thickness map and associated data.
Scan Reports
Corneal Pachymetry & Epithelium Report
The “Corneal Pachymetry & Epithelium Report” has been expanded to include an OCT image
and a map showing Pachymetry and Epithelial thickness; alternately, a map showing the thickness
of the Stroma is also available. A “Cornea Pachymetry & Epithelial Change Analysis” shows
thickness measurements from all patient visits.
Cornea Pachymetry/Lens Fitting Scan
The Cornea Pachymetry scan has improved functionality for “lens fitting”. The Lens Fitting
Report maps the clearance space between the posterior surface of the scleral lens and the anterior
surface of the cornea.
Cornea Angle Scan
The Cornea Angle scan has been improved to visualize the “landing zones” of lenses, nasal,
temporal, inferior and superior. The angle scan line is perpendicular to where the lens contacts
the sclera. For convenience, multiple (4) images can be selected to display on a single page.
3D Fundus En Face
The 3D Fundus En Face scan option improves usability by offering an NFL thickness map
window to visualize the nerve fiber over the superior and inferior arches.
Electrical Safety and Electromagnetic Compatibility (EMC)
Electrical safety and EMC testing were conducted on the iVue device and complies with the IEC
60601-1 standards for safety and the IEC 60601-1-2 standard for EMC.
Clinical Evaluation
Two (2) clinical studies were conducted to demonstrate substantial equivalence:
Clinical Study for Repeatability and Reproducibility of Corneal Epithelial Mapping with iVue®
SD-OCT
The objective of this clinical study was to evaluate the repeatability and reproducibility of the
iVue ETM scan for the corneal thickness (pachymetry), the epithelial thickness, and the stromal
thickness mapping in normal subjects and corneal patients with iVue SD-OCT ETM software
based on a crossed-study design and crossed random-effects ANOVA model.
A heterogeneous population of qualified study subjects was evaluated and included the Normal
Subjects group (12 subjects), and the Corneal Patients group further stratified to target 12 contact
lens patients, 12 post-refractive surgery patients, 12 dry eye patients, and 14 keratoconus patients.
6. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
The study inclusion criteria required subject who were 18 years of age or older, able to provide
consent, and were willing to complete the required examinations. In addition, subjects were
qualified based on a history or clinical diagnosis of one or more of the following conditions:
Dry eye patients with no history of refractive surgery
Contact lens patients without complications, refractive surgery or dry eye
Post-laser refractive surgery patients with 1 month post-surgery without complications
Keratoconus patients with a clinical diagnosis of keratoconus in the study eye
The study exclusion criteria excluded those with the inability to complete the required SD-OCT
scans (e.g., unable to fixate due to poor vision).
Based on a crossed-study design, each study subject was imaged with all three iVue/operator
pairs, and within each iVue/operator pair, at least three ETM scans were acquired with the
operator realigning the instrument on the study eye for each scan acquisition. To ensure
realignment for each scan, the operator asked test subject to sit back after a scan acquisition and
then reposition for the next scan.
The repeatability and reproducibility of the ETM scan are assessed for all zonal thickness
parameters and the summary statistics parameters displayed on screen for the corneal thickness
(pachymetry), the epithelial thickness, and the stromal thickness.
For qualified scans, the operators reviewed the thickness maps for obvious segmentation error
and reviewed the individual corneal meridian images to verify segmentation for erroneous maps.
Segmentation edit tools were used to perform manual correction and then the epithelial map was
reprocessed. Noticeable segmentation errors were manually corrected by the operator and marked
for “Manual Correction” in the case report form. Scans with manual correction qualified for R&R
data analysis.
Reproducibility Standard Deviation (SD)
Reproducibility SD across Normal and Corneal Patients (pooled) groups and different map zones
are summarized in Tables 1A, 1B and 1C for pachymetry, epithelial thickness and stromal
measurements respectively.
Reproducibility SD
- Pachemetry
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
2.2
3.5 5.1
min 2.3 3.5
max 5.1 7.7
Corneal Patients group
mean
3.6
4.6 6.6
min 3.7 5.0
max 5.8 8.8
Table 1A: Reproducibility SD for pachymetry measurements
7. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
Reproducibility SD
-Epithelial
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
0.9
1.1 1.2
min 0.9 1.0
max 1.3 1.5
Corneal Patients group
mean
1.2
1.4 1.7
min 1.4 1.6
max 1.5 1.9
Table 1B: Reproducibility SD for epithelial thickness measurements
Reproducibility
SD -Stromal
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
2.0
3.3 4.9
min 2.1 3.3
max 4.9 7.6
Corneal Patients group
mean
3.1
4.4 6.6
min 3.3 5.0
max 5.6 9.0
Table 1C: Reproducibility SD for stromal thickness measurements
Reproducibility Coefficient of Variance (COV)
Reproducibility COV Normal and Corneal Patients (pooled) groups and different map zones are
summarized in Tables 2A, 2B and 2C for pachymetry, epithelial thickness and stromal
measurements respectively.
COV -
Pachymetry
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
0.4%
0.6% 0.9%
min 0.4% 0.6%
max 0.9% 1.3%
Corneal Patients group
mean
0.7%
0.9% 1.2%
min 0.7% 0.9%
max 1.0% 1.5%
Table 2A: Reproducibility COV for pachymetry measurements
8. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
COV -
Epithelial
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
1.8%
2.1% 2.4%
min 1.6% 1.8%
max 2.5% 2.9%
Corneal Patients group
mean
2.4%
2.7% 3.3%
min 2.6% 2.9%
max 2.8% 3.6%
Table 2B: Reproducibility COV for epithelial thickness measurements
COV
Stromal
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
0.4%
0.7% 0.9%
min 0.4% 0.7%
max 0.9% 1.4%
Corneal Patients group
mean
0.7%
0.9% 1.3%
min 0.7% 1.0%
max 1.1% 1.7%
Table 2C: Reproducibility COV for stromal thickness measurements
Reproducibility Limits
Reproducibility limits Normal and Corneal Patients (pooled) groups and different map zones are
summarized in Tables 3A, 3B and 3C for pachymetry, epithelial thickness and stromal
measurements correspondingly.
Reproducibility -
pachymetry
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
6.0
9.7 14.0
min 6.4 9.8
max 14.2 21.3
Corneal Patients group
mean
10.0
12.8 18.4
min 10.2 14.0
max 16.0 24.4
Table 3A: Reproducibility limits for pachymetry measurements
9. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
Reproducibility -
epithelial
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
2.6
3.1 3.4
min 2.4 2.7
max 3.5 4.0
Corneal Patients group
mean
3.4
3.9 4.8
min 3.8 4.3
max 4.1 5.3
Table 3B: Reproducibility limits for epithelial thickness measurements
Reproducibility -
stromal
Area
2 mm zone 2 to 5 mm zone 5 to 6 mm zone
Normal group
mean
5.4
9.2 13.6
min 5.8 9.3
max 13.7 21.1
Corneal Patients group
mean
8.5
12.1 18.2
min 9.1 13.9
max 15.6 25.0
Table 3C: Reproducibility limits for stromal thickness measurements
Overall, the study showed good repeatability and reproducibility for all study groups, all map
zones, and for all 3 parameters evaluated – pachymetry, epithelial, and stromal thickness.
Clinical Study for Accuracy of Corneal Epithelial Mapping with iVue® SD-OCT
The objective of this clinical study was to evaluate the accuracy of the corneal mapping, including
the corneal (i.e., pachymetry), corneal epithelial, and the corneal stromal thickness, in normal
subjects and corneal patients with the iVue SD-OCT ETM software based on the agreement with
manual measurements by qualified graders. The agreement was evaluated based on the combined
group of all qualified normal subjects and corneal patients.
The study inclusion criteria required subject who were 18 years of age or older, able to provide
consent, and were willing to complete the required examinations.
The study exclusion criteria excluded those potential subject who had a history of laser refractive
surgery or cataract surgery, those who used soft or hard contact lens in the past 3 months, had
blepharitis and/or meibomitis, or had a history or current diagnosis of dry eye or other corneal
pathologies, including keratoconus and corneal scar, etc. Exclusion criteria also excluded those
10. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
with the inability to complete the required SD-OCT scans (e.g., unable to fixate due to poor
vision).
The study data were collected at three separate clinical study sites. One eye per study subject was
included in the study. All scans from a given study subject were acquired in one visit.
One scan of sufficient image quality was required per study eye. If scan quality issue was observed
during scan acquisition by the operator, he/she could take up to two additional scans in attempt to
obtain a scan of sufficient quality. Study site operators evaluated scan quality and determined
whether a scan met image quality criteria and documented scan quality observations in the case
report form.
Manual image grading was performed by 3 qualified graders from the Optovue clinical team.
Each grader performed manual measurements for all ETM scans included in the grading data set.
Three randomized grading orders were generated and each grader was assigned one randomized
grading order to follow. The graders were masked to each other’s results throughout the grading
process.
Distribution of Study Measurements
The distributions of the corneal epithelial thickness, stroma thickness, and corneal thickness
(pachymetry) are based on software output for the combined group using simple descriptive
statistics such as the mean, median, standard deviation (stdev), 1st and 3rd quartiles (Q1 and Q3),
and range (min, max).
Corneal Epithelial Thickness
The distributions of the corneal epithelial thickness based on software output for the 17 zonal
parameters are provided in Tables 4.1 (below) for the Combined Group.
min Q1 median mean Q3 max stdev
C_2__Epi 36.9 49.5 53.3 53.3 57.9 68.1 6.0
T_2_5__Epi 41.2 49.0 53.3 53.0 57.4 67.7 5.8
ST_2_5__Epi 39.9 49.3 52.9 53.5 57.3 68.1 5.5
S_2_5__Epi 37.9 50.6 53.5 53.5 56.8 67.9 5.4
SN_2_5__Epi 38.0 50.0 53.6 53.9 57.1 66.4 5.4
N_2_5__Epi 41.1 51.0 53.7 54.1 57.6 67.5 5.1
IN_2_5__Epi 44.7 51.7 54.0 54.9 58.5 69.0 5.2
I_2_5__Epi 41.8 50.7 54.1 54.7 58.0 69.6 5.6
IT_2_5__Epi 41.4 49.0 53.3 53.8 57.9 71.0 5.9
T_5_6__Epi 42.4 50.6 53.0 53.2 55.8 66.6 4.4
ST_5_6__Epi 37.0 50.7 53.4 53.4 55.8 67.4 4.5
S_5_6__Epi 35.8 50.8 52.8 53.1 55.6 64.2 4.5
SN_5_6__Epi 41.4 51.8 54.1 54.3 56.7 64.7 4.4
N_5_6__Epi 43.0 52.1 54.3 54.8 57.8 66.3 4.4
IN_5_6__Epi 44.2 52.5 54.6 55.6 58.1 69.3 4.7
I_5_6__Epi 44.7 51.7 54.7 55.3 58.6 67.0 5.0
IT_5_6__Epi 42.6 51.5 54.1 54.3 57.1 69.9 4.5
Combined (n= 87 subjects)
12. iVue®
with Corneal Epithelial Thickness Mapping (ETM) Software
Optovue Traditional 510(k) Premarket Notification
Limits of Agreement (see Section: Performance Testing – Clinical)
The limits of agreement of the corneal thickness mapping between the software output and manual
measurements are provided for the Combined Group, and, for additional information, also for the
5 sub-groups (Normal, Contact Lens, Dry Eye, Post-LRS, and KCN) respectively.
The Bland-Altman plots for the agreement between software output and manual measurement are
provided for the Combined Group and the 5 sub-groups. The Bland-Altman plot is a scatter plot
of the difference between the software-based and manual methods, using manual measurements
as reference as represented by the horizontal axis. Reference lines were added to the plot including
that at mean differences and the upper and lower limits of agreement (LOA).
Deming regression analysis and Scatter plots for the corneal epithelial thickness between the
software output and the manual measurements are provided for the Combined Group and the 5
sub-groups. Deming regression analysis on corneal epithelial thickness for the Combined Group
is also provided, including intercept, confidence intervals (CI) of intercept, slope, and confidence
intervals (CI) of slope.
Summary
Overall, the clinical data and analyses demonstrate agreement of the automated corneal epithelial
thickness segmentation algorithm to qualified, independent, masked graders performing manual
corneal epithelial thickness segmentation.
VIII. CONCLUSIONS
The conclusions drawn from the non-clinical validation tests (software, electrical safety, and EMC)
demonstrate that the iVue subject device with corneal ETM software is as safe, as effective, and
performs as well as or better than the legally marketed iVue predicate device identified in this 510(k)
premarket notification.
We also believe that these study results achieved the clinical objectives and that the performance
of the iVue device is characterized sufficiently to help the Agency make a determination of
substantial equivalence. The cumulative performance testing data indicate the iVue as safe and
effective as applicable in the proposed labeling.