Cancer diagnosis using CTC detection
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This document discusses using circulating tumor cells (CTCs) to diagnose cancer. It notes that current cancer detection technologies like CT, MRI, cell search, and flow cytometry have limitations like high costs, lengthy turnaround times, and invasive sampling procedures. The document proposes using CTCs, which are cancer cells that break off from tumors and circulate in the bloodstream, as a less invasive method of cancer diagnosis and detection. It suggests CTC analysis could provide advantages over existing technologies by offering faster results, lower costs, and a non-invasive blood test alternative to tissue biopsies.
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Light-CT is a high-resolution optical imaging technique that can provide real-time assessment of microbiopsies. A pilot study on breast tissue showed Light-CT allowed identification of cellular structures and criteria for malignancy assessment, with imaging and analysis taking only 15 minutes. Light-CT imaging of needle biopsies could help avoid repeat procedures and evaluate tissue for further analysis. Future work includes evaluating specificity and sensitivity and integrating the technique into clinical workflows.
The Acoustic Technology for Ctcs Isolation in Blood: Low-Cost Devices_Crimson...
The Acoustic Technology for Ctcs Isolation in Blood: Low-Cost Devices_Crimson...CrimsonpublishersCancer
Blood samples can be used as a liquid biopsy in cancer diagnosis and chemotherapy monitoring. This label- free method offers benefits over traditional tissue invasive biopsy. It is possible to separate rare cells from blood samples by Ultrasounds on the basis of their physical properties in a biocompatible manner. A successful separation of cultured cancer cells from WBCs with acoustic-based methods is being demonstrated during the last years through different technological approaches. The concept of plate acoustic waves (PAW) applied to acoustophoresis was recently introduced to perform acoustic flow-through separation of rare cells in blood samples. It lies in the geometrical chip design, different to other micro separators (BAW and SAW). This new strategy allows soft materials of extremely reduced volume and low-cost fabrication and opens a door to printing manufacturing processes.Advanced Cancer diagnosis (2).pptx
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Quarto evento dell'11/06/09 - Richard Satava
The document discusses the evolution of hospitals over the next 50 years. It predicts that hospitals will move away from traditional facilities focused on treatment, and instead integrate information systems using imaging, robotics, and other technologies to provide virtual and remote care. Surgical procedures will increasingly utilize simulation, robotics, and other advanced technologies. Medical education will also undergo a revolution through comprehensive simulation-based training and objective skills assessment.
Quarto evento dell'11/06/09 - Richard M. Satava
The document discusses the evolution of hospitals and healthcare over the next 50 years. It predicts that new technologies like robots, imaging systems, nanotechnology, and genetics will drive fundamental changes. Healthcare will transition from focusing on tissues and instruments to information and energy. Modeling and simulation will allow for a virtual representation of patients and procedures. This will enable remote surgery, pre-operative planning and rehearsal, and improved surgical integration and education.
Difference between PET scan.ppt
A computed tomography (CT) scan is a particular imaging method. A CT scan delivers a detailed 3-D image of the inside of your body. This scan is often prescribed to check for abnormalities in the brain, spine, neck, chest, or abdomen. By looking at CT scan images, your doctor can consider hard tissues, such as your bones, and soft tissues, such as your muscles and organs. This indicates that a CT scan will show everything from a bone fracture to a tumour...
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CT scan
CT scans use X-rays and computers to create detailed images of the inside of the body. CT scanning was independently developed in the 1970s by Godfrey Hounsfield and Allan Cormack. A CT scan works by using an X-ray device and detector that rotate around the body, detecting differences in radiation absorption as they pass through tissues. The data is then used to construct a series of cross-sectional images of the bones, muscles, fat, and organs inside the body. CT scans allow doctors to see internal structures in great detail and find diseases that may not be visible on regular X-rays.
Application of computer in medicine
This document summarizes various applications of computers in the field of medicine, including using electronic medical records (EMR) for hospital administration, patient monitoring machines, medical laboratories analyzing blood and urine samples to test for diseases and genetic disorders, echocardiograms and CT scans to examine the heart and detect tumors, MRI to see tumors and blood circulation using magnetic fields rather than x-rays, and ultrasounds especially to monitor pregnancies. It also discusses pacemakers, key-hole surgeries assisted by robotic arms, potential uses of nanobots and computer chips to repair tissues, and disadvantages like potential misuse of medical information found online without doctor supervision.
3 d ct scan skull test
3D CT Scan - Skull Test - View Normal Values, Test Results, Procedure to conduct & Best Prices for 3D CT Scan - Skull Test | Lybrate
The International Journal of Engineering and Science (The IJES)
This document summarizes a research paper on developing a computer-aided diagnosis system for early detection of liver cancer from CT chest images. The proposed system involves extracting features from segmented liver regions of CT images using techniques like noise removal, segmentation, and morphological operations. Features are then extracted and can be classified using Hidden Markov Models to identify liver cancer cells at an early stage and improve diagnosis. The authors suggest future work to refine cancer cell classification and reduce time complexity for improved diagnosis confidence.
The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
AI and whole slide imaging biomarkers
American Association for Cancer Research Annual Meeting 2022
Analysis of images of routinely acquired tissue specimens promise to provide biomarkers that can be used to predict disease outcome and steer treatment, improve diagnostic reproducibility, and reveal new insights to further advance current human understanding of disease. The advent of AI and ubiquitous high-end computing are making it possible to carry out accurate whole slide image morphological and molecular tissue analyses at cellular and subcellular resolutions. AI methods are can enable exploration and discovery of novel diagnostic biomarkers grounded in prognostically predictive spatial and molecular patterns as well as quantitative assessments of predictive value and reproducibility of traditional morphological patterns employed in anatomic pathology. AI methods may be adapted to help steer treatment through integrative analysis of clinical information along with Pathology, Radiology and molecular data.
CT-scan
The document discusses computed tomography (CT) scans, including what they are, how they work, how to prepare for one, what happens during the test, risks, and differences from standard X-rays. A CT scan uses X-rays and a computer to create detailed images of the inside of the body by obtaining multiple cross-sectional slices. It is a painless and noninvasive test that takes 10-30 minutes and allows doctors to diagnose various medical conditions.
Integrative Everything, Deep Learning and Streaming Data
Workshop on Clusters, Clouds, and Data for Scientific Computing, September 6, 2018
The need to create to label information and segment regions in individual sensor data sources and to create synthesizes from multiple disparate data sources span many areas of science, biomedicine and technology. The rapid evolution in sensor technologies – from digital microscopes to UAVs drive requirements in this area. I will describe a variety of use cases, describe technical challenges as well as tools, algorithms and techniques developed by our group and collaborators.
Summary ctc chip
A group of scientists at Massachusetts is developing a microchip that can analyze a patient's blood sample to determine the correct cancer treatment. The chip uses microfluidics technology to evaluate circulating tumor cells released into the bloodstream. It isolates cancer cells from blood samples using antibodies that target a protein only present in cancer cells. Testing showed the chip successfully isolated cancer cells from 116 patients and identified emerging mutations in 27 lung cancer patients, providing personalized diagnostic information to guide treatment. The microchip provides a safer and more precise alternative to biopsies for determining personalized cancer treatment.
Cancer diagnosis and treatment-1.pptx
Imaging techniques such as CT, MRI, PET, ultrasound, mammography and conventional radiology are used for cancer screening, detection, diagnosis, staging and monitoring treatment response. Biopsies involving fine needle aspiration, endoscopy or surgical removal of tissue samples allow histopathological examination of cells and tissue. Molecular testing techniques like immunohistochemistry, cytogenetics and tumor marker detection provide additional information on cancer prognosis and personalized treatment approaches. Together these diagnostic methods provide information on tumor location, size, spread and characteristics to inform cancer management.
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Learning objectives:
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Cancer diagnosis using CTC detection
- 1. Cancer Diagnosis using Circulating Tumor Cells (CTCs) “Capturing the Satans in the Blood” By Ketan Thorat Nitin Joshi
- 2. Cancer in India As predicted by National Cancer Foundation, India Poverty Lack of healthcare Services Lack of early detection
- 3. Current Technologies and their disadvantages CT MRI Cell Search Flow Cytometry ELISA Histopathology/Imm unohistochemistry Limit Of Detection(LOD) High Cost Lengthy Turnaround Time Intrusive Sampling Procedure Infrastructure
- 4. Circulating Tumor Cells(CTCs) What? http://www.vitatex.co m/images/metastasis- diagram-l.jpg
- 6. Advantages