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In this webinar:
Dr. Paula Gordon will share information on when individuals should start screening for breast cancer, and how often to screen - in order for cancer to be found as early as possible, and to allow the least aggressive options for treatment. Dr. Gordon will also discuss how to screen for recurrence in women who’ve had cancer, explain why these methods are not always offered, and suggest what you can do to improve access to optimal screening.
View the video: https://youtu.be/7uFksz6_4Zk
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A comprehensive study about new and upcoming modalities in imaging and screening of breast lesions with description about every new modalities with their advantages and pitfalls.
Pamela J DiPiro, MD, Clinical Director of CT and Breast Imagery at Dana-Farber Cancer Institute, goes over the different ways of imaging after breast cancer.
Don't miss our upcoming webinars: Subscribe today!
In this webinar:
Dr. Paula Gordon will share information on when individuals should start screening for breast cancer, and how often to screen - in order for cancer to be found as early as possible, and to allow the least aggressive options for treatment. Dr. Gordon will also discuss how to screen for recurrence in women who’ve had cancer, explain why these methods are not always offered, and suggest what you can do to improve access to optimal screening.
View the video: https://youtu.be/7uFksz6_4Zk
Follow CCSN on social media:
Twitter - https://twitter.com/survivornetca
Facebook - https://www.facebook.com/CanadianSurvivorNet
Instagram: https://www.instagram.com/survivornet_ca/
Pinterest - https://www.pinterest.com/survivornetwork
A comprehensive study about new and upcoming modalities in imaging and screening of breast lesions with description about every new modalities with their advantages and pitfalls.
Pamela J DiPiro, MD, Clinical Director of CT and Breast Imagery at Dana-Farber Cancer Institute, goes over the different ways of imaging after breast cancer.
Introduction to mammography and its equipment.
Different views on mammography & supplementary views.
Birads mammographic lexicon
Birads ultrasound lexicon
Imaging of suspicious mammary lymph nodes
Categories in BIRADS 2013.
Checklist for Selecting Technology for Learning, adopted from Bates (2015) Appendix 2: Questions Adopted from Questions to Guide Media Selection and Use.
Bates, A. W. (2015). Chapter 8: Choosing and using media in education: The SECTIONS model. Teaching in a Digital Age. A Creative Commons Attribution-NonCommercial 4.0 International License. Retrieved from http://opentextbc.ca/teachinginadigitalage/part/9-pedagogical-differences-between-media/
Introduction to mammography and its equipment.
Different views on mammography & supplementary views.
Birads mammographic lexicon
Birads ultrasound lexicon
Imaging of suspicious mammary lymph nodes
Categories in BIRADS 2013.
Checklist for Selecting Technology for Learning, adopted from Bates (2015) Appendix 2: Questions Adopted from Questions to Guide Media Selection and Use.
Bates, A. W. (2015). Chapter 8: Choosing and using media in education: The SECTIONS model. Teaching in a Digital Age. A Creative Commons Attribution-NonCommercial 4.0 International License. Retrieved from http://opentextbc.ca/teachinginadigitalage/part/9-pedagogical-differences-between-media/
Using Nursing Exam Data Effectively in Preparing Nursing AccreditationExamSoft
Presented by Ainslie Nibert, Associate Dean/Associate Professor, College of Nursing, Texas Woman's University
Faculty facing either an initial nursing accreditation, or those preparing for a re-affirmation of accreditation visit, need to amass evidence demonstrating how the program is evaluated for achievement of program outcome using reliable and valid measurements. One of the most valuable resources of this evidence is a collection of student performance data from teacher-made and standardized exams used throughout the curriculum. How can faculty demonstrate that the exams they deliver to students are both reliable and valid? The purpose of this webinar is to discuss how faculty can incorporate assessment data and related analysis into their curriculum evaluation processes; establish that the teacher-made and standardized exams administered throughout the program are reliable and valid; and include assessment findings in the accreditation self-study that demonstrate compliance with nationally-recognized education standards in nursing.
Each month, join us as we highlight and discuss hot topics ranging from the future of higher education to wearable technology, best productivity hacks and secrets to hiring top talent. Upload your SlideShares, and share your expertise with the world!
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SlideShares that inform, inspire and educate attract the most views. Beyond that, ideas for what you can upload are limitless. We’ve selected a few popular examples to get your creative juices flowing.
About this webinar:
Breast radiologist Dr. Paula Gordon will discuss the optimal strategy for achieving early detection of breast cancer. She will also describe the flawed process used in making Canadian breast screening guidelines, impacting millions of women. Patient advocate Jennie Dale from Dense Breasts Canada will look at the inequities in breast cancer screening and surveillance practices in Canada. She will also explore ways to advocate for better screening and surveillance.
About the presenters:
Dr. Paula Gordon is a Clinical Professor in the Department of Radiology at the University of British Columbia, and has been practicing for over 35 years. She is Founding Medical Director of the Sadie Diamond Breast Program at BC Women’s Hospital, and a founding member of the Canadian Society of Breast Imaging. She’s given hundreds of lectures at meetings around the globe. She received a Queen Elizabeth Diamond Jubilee Medal, and was invested in the Order of British Columbia. She was named one of Canada’s 100 Most Powerful Women by the Women’s Executive Network.
Jennie Dale is the Co-founder and Executive Director of Dense Breasts Canada (DBC). She was diagnosed with breast cancer in October 2014. Inspired by the successful advocacy and education efforts of similar American organizations, Jennie co-founded DBC with Michelle Di Tomaso in 2016. They teamed up with breast cancer survivors, dedicated individuals, and health care professionals nationwide to raise awareness of the risks of dense breasts and advocate for patient notification of breast density and access to supplemental screening. She is fighting for necessary revisions to the current Canadian Task Force breast cancer screening guidelines, which put women's lives at risk. In 2021, Jennie was named a top 5 finalist in Charity Village's awards in the category of Most Outstanding Impact by a Volunteer.
About this Webinar: This talk will explore breast screening for women 40-49. The benefits and harms for screening will be discussed, as well as what is unique about breast cancer in women in their 40s. In order to understand the controversy around current guidelines recommending against screening women 40-49, we will review the evidence upon which these guidelines are based, and their impact on breast cancer outcomes for these women.
For information of chronic disease
. very common these days and required early detection and cure.
for education purpose
.this is simplify version of very important but complex topic .
This is only prevented by early detection and cure .
By identifying red flags of disease first we can detect high group .by targeting high risk group we will be able to detect and treat disease with less resources.
Sharad Ghamande, MD, FACOG
Professor and Director of Gynecologic Oncology
Augusta University Cancer Center
Presentation to the Georgia Senate Women's Adequate Healthcare Study Committee
www.gacommissiononwomen.org
Caren Stalburg, MD, MA presented to the 2016 annual Snow meeting of the Michigan Section of the American Congress of Obstetricians and Gynecologists (ACOG) about her program to train Michigan providers about the new Breast Density Notification Law (http://www.midensebreasts.org/).
Dr. Stalburg is Division Chief and Clinical Assistant Professor in the Division of Professional Education in the Department of Learning Health Sciences and Assistant Professor of Obstetrics and Gynecology in the University of Michigan Medical School.
Robert Sinha, M.D., Radiation Oncologist .Western Radiation Oncology - Dorothy Schneider Cancer Center - 2013 Mills-Peninsula Health Services Cancer Symposium
Mills-Peninsula Health Services Cancer Symposium - Kimberly Moore Dalal, MD, FACS
Medical Director, Surgical Oncology Peninsula Medical Clinic Burlingame, CA
Mills-Peninsula Health Services 2013 Cancer Symposium presentation - Brad Ekstrand, MD/PhD, California Cancer Care Mills-Peninsula Health Services San Mateo, CA
More from Peninsula Coastal Region of Sutter Health (15)
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
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263778731218 Abortion Clinic /Pills In Harare ,sisternakatoto
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ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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“Dense Breasts”: The Facts, The Myths, The Law
1. “Dense Breasts”: The Facts, The
Myths, The Law
Harriet B. Borofsky, M.D.
Medical Director of Breast Imaging
Mills-Peninsula Women’s Center
2. Outline
• Background: Why and how we screen for breast cancer
• The “Dense Breast” Law: Senate Bill 1538
• “Dense Breasts” : The Facts and The Myths
– Mammographic breast patterns
– Limitations of mammography in women with “dense”
breasts
– Breast density and age
– Breast density as an independent risk factor for breast
cancer
• Implications of the law: Supplemental screening;
ultrasound, MRI and Digital Breast Tomosynthesis
(DBT).
4. Breast Cancer
• Most frequently diagnosed, non skin, cancer
in women
• Statistics: (ACS most recent estimates)
– 226,870 new diagnosis/year in U.S.
• 4,500 cases/year; 12 cases/day in Bay Area
– 63,000 new diagnosis of DCIS/year in U.S.
– 39, 510 deaths due to breast cancer/year in U.S.
• 1,000 deaths/year in Bay Area
5. Breast Cancer Types
• Heterogeneous disease: different types and
subtypes based on cell of origin, in situ or
invasive and phenotypic expression
• Invasive 75%
– Ductal 90%
– Lobular 10%
• Ductal carcinoma in-situ (DCIS) 25%
6. Breast Cancer Subtypes: based on
tumor specific gene expression
• Endorsed by St. Gallen International Expert Consensus
Panel; 2011
• Determined by Immunohistochemistry (IHC)
• Expression of estrogen and progesterone receptors,
HER2 oncogene and Ki-67 antigen
• Allows for targeted, individualized approaches:
hormonal therapy, endocrine therapy, Herceptin
• Four subtypes-
– Luminal A: ER+, HER2-, Ki-67 low
– Luminal B: ER+, HER2- and Ki-67 high or HER2+
– HER2+: ER-, HER2+
– Basal like: Triple negative; ER-, PR- HER2-
7. Who is at risk for breast cancer?
• Women – Overall lifetime risk of 14%; 1 in 7,
based on life expectancy of 85 years
• Advancing Age
8. Who is High-Risk for Breast Cancer?
• Personal history of breast cancer
• First degree relative/s with breast cancer
• Inherited genetic mutations; BRCA1 and
BRCA2: Hereditary Breast and Ovarian Cancer
Syndrome
• Exposure to radiation at young age
• Prior biopsy showing atypia: atypical ductal
hyperplasia and/or lobular neoplasia
9. Risk Associations
• Early menarche
• Late menopause
• Nulliparity
• Hormonal therapy: estrogen and progesterone
• Post menopausal obesity
• Alcohol consumption
• Breast Density
10. Why Screen for Breast Cancer?
• Most common malignancy in women
• Second leading cause of cancer death in
women
• It is a progressive disease: Early detection
offers opportunity to halt natural evolution,
increase treatment options; and ultimately,
save lives.
11. Screening Test: Mammography
• Relatively inexpensive
• Safe and well tolerated
• Readily accessible to large population of
women
• Sensitive and specific
• Proven to be efficacious in reducing mortality
from breast cancer
12. Proof of Benefit – Randomized Controlled
Trials (RCTs)
• HIP – Health Insurance Plan of New York (1963); ages
40-64; 23% mortality reduction
• 2-County Swedish Trial (1977); ages 40-74; 34%
mortality reduction
• Gothenburg (1982): ages 39-59; 44% mortality
reduction
• Malmo (1976): ages 45-69; 36% mortality reduction
• Meta-analysis (Hendricks et al) women in 40’s: 29%
mortality reduction
13. Proof of Benefit
• Since population-based screening initiated in
1990s, death rate from breast cancer has
decreased by 2.2%/year
• The estimated mortality reduction from breast
cancer due to screening is 28-65%
14. Early Detection has led to Paradigm
Shift in Management of Breast Cancer
• Increasing number of early stage, node
negative breast cancers:
– Less invasive surgical procedures: Sentinel
lymph node biopsy
– Partial breast radiation (APBI)
– Gene expression profiling technologies
(Oncotype Dx, Mammoprint ) to determine
which early stage, lymph node negative
patients may forego chemotherapy
15. Mills-Peninsula Breast Program
Breast Cancer Data 2011
• Total Women screened: 21,274
• Women called back: 3,254 (15.3%)
• Breast Cancers Detected (Yield): 145
• Cancer Detection rate: 7.2/1000 (4.2/1000 Nat'l avg)
MP Breast Program Nat’l Data
DCIS (Stage 0) 43% 24%
Minimal 66% 53%
Stage 0 and 1 83% 73%
Lymph node + 7% 24%
Sensitivity 93% 88%
16. American Cancer Society (ACS)
Screening Guidelines
• Baseline mammogram by age 40
• Annual mammogram, age 40 and above.
• For women with first degree relative with
premenopausal breast cancer, begin screening
10 years earlier than age at relative’s diagnosis
(but above age 30).
17. Limitations/Risks of Screening
Mammography
• Costly: Contributes significantly to overall
national health care costs
• False positives: additional views (call backs),
biopsies, inconvenience and anxiety.
• Theoretical over diagnosis: Some cancers
detected and treated might never have caused
death
• Radiation exposure
• False negatives: missed breast cancer; false sense
of security and potential delay in treatment
18. “Dense Breast” Senate Bill 1538,
Chapter 458
• Authored by Senator Joe Simitian (D-Palo Alto)
• Modeled after “dense breast” legislation that
first passed into law: Connecticut Public Act
09-41
• Other states with similar laws: Utah, Virginia,
New York, and Texas
• Signed by Governor Jerry Brown, September,
2012; takes effect April 1, 2013
19. SB 1538: Comprehensive
Breast Tissue Screening
(2012)
THE PEOPLE OF THE STATE OF CALIFORNIA DO ENACT AS
FOLLOWS:
20. SB 1538
• Existing law (MQSA 1998) requires that
patients receive a written summary of their
mammogram results.
• New law requires that women, in the state of
California, also receive, in their summary
report, a prescribed notice if their breasts are
dense, based in ACR’s BIRADS breast pattern
types 3 or 4:
21. Breast Density Notice
• “Your mammogram shows that your breast tissue is
dense. Dense breast tissue is common and is not
abnormal. However, dense breast tissue can make it
harder to evaluate the results of your mammogram
and may also be associated with an increased risk of
breast cancer.”
• This information about the results of your
mammograms is given to you to raise your awareness
and to inform your conversations with your doctor.
Together, you can decide which screening options are
right for you. A report of your results was sent to your
physician.
22. ACR’s BIRADS (Breast Imaging Reporting
and Data System) : Breast Patterns Types
• Type 1: Fatty – almost entirely fatty tissue
• Type 2: Average- 25%-50% fibroglandular
tissue
• Type 3: Heterogeneously Dense- 50%-75%
fibroglandular tissue
• Type 4: Extremely Dense- >75% fibroglandular
tissue
23. Type 1: Fatty replaced Type 2: Average
Type 3: Heterogeneously Type 4: Very dense
Dense
24. Breast Density- Facts
• Marked heterogeneity in the mammographic
appearance of women’s breasts
• “Dense” breast patterns are common: 40% of
mammograms are types 3 and 4
• Breast density is genetic and altered some by
advancing age and hormonal influences
• Mammographic sensitivity is inversely related to
breast density
• Mammogram still invaluable in assessing for
interval changes, architectural distortion, and
calcifications and should be performed
25. Mandelson et al. J Natl Cancer Inst 2000;
931: 1081-1087)
• Mammographic sensitivity of 80% in women
with fatty breasts
• Mammographic sensitivity of 30% in women
with extremely dense breasts
• Odds ratio for interval cancers among women
with extremely dense breasts: 6.14, compared
to women with fatty breasts.
26. Breast Density and Sensitivity of
Mammography
Mills-Peninsula Breast Program: 2004-
2008
Breast Density Percentage of patients Overall Sensitivity
Fatty 5.9% 93%
Average 56.9% 88%
Heterogeneously Dense 33.7% 84%
Extremely Dense 3.5% 71%
28. Breast Density and Age: Myth
• Pre-menopausal women have dense breasts
and mammograms are not sensitive or useful
• Post-menopausal women have fatty breasts
and they alone benefit from mammography
29. Breast Density and Age
• Checka et al. Density and Age: Implications for
Breast Cancer Screening. AJR; March, 2012.
• Retrospective review of 7007 mammograms
at New York University Langone Medical
Center; 2008.
AGE RANGE % with DENSE BREASTS
40-49 74%
50-59 57%
60-69 44%
70-79 36%
30. Breast Density and Age
• Genetics may play larger role in breast density
than age and menopausal status.
• Breast density may be altered by hormonal
changes:
– Pregnancy/lactation
– Hormonal therapy; especially estrogen/progesterone
– Tamoxifen
• Mortality reduction from breast cancer in women
screened, has been achieved in all age categories;
40 through 74.
31. Are Women with “Dense Breasts” at
Increased Risk for Breast Cancer?
• Breast density is increasingly recognized as a
independent risk factor for developing breast
cancer.
• Multiple retrospective studies show the odds
ratio for developing breast cancer in the least
dense compared to the most dense breast issue
ranges from 1.9-6.0, with most studies yielding an
odds ratio of 4.0 or greater. Harvey et al.
Radiology. 2004.
• Validity of studies debated due to subjectivity in
assigning breast density; based on 2D imaging.
32. Ongoing Questions?
• What is the mechanism by which density may
affect breast cancer risk?
• What component/s of dense breasts,
epithelial vs stromal, imparts risk?
• Does reduction in breast density lead to lower
risk?
• Are mammograms enough?
35. Breast Ultrasound for Screening
• Invaluable adjunct to mammography
• Advances in high frequency, 14 MHz transducers has
led to improved resolution and increased utilization
• Easy to perform and well tolerated
• Safe: No radiation
• Cross-sectional imaging; no overlapping tissue
• Not impeded by breast density
36. Literature: Screening Breast
Ultrasound
• In high-risk women with dense breasts:
– Kolb et al. Radiology 2002: Increased breast cancer
rate by 13%
– ACRIN 6666; JAMA, 2008: Increased breast cancer
detection rate by 28%
• Three multi-center trials: ultrasound increased
breast cancer detection (yield) by 4.2-4.4/1000
• Six single-center studies: ultrasound increased
breast cancer detection (yield) by: 3.5/1000
• Majority: node-negative, early stage invasive
cancers
37. Hooley et al. Screening US in patients with Mammographically
Dense Breasts: Initial Experience with Connecticut Public Act 09-
41. Radiology; 2012; 265: 59-69.
• Yale, New Haven, data from first year of
implementation of law
• 935 women with dense breast tissue and
normal mammograms received supplemental
US screening
• 5% (47) suspicious ultrasound finding
requiring biopsy
• PPV for biopsy was 6.5%
• Overall cancer detection rate: 3.2/1000
38. Weigert, et al. The Connecticut Experiment: The Role of
Ultraound in the Screening of Women with Dense
Breasts. The Breast Journal. 2013. 18: 517-522
• 12 sites in Connecticut; Norwalk and New Britain
• Retrospective study
• 72,030 screenings; 28,812 dense with normal
mammograms
• 30%; 8,647 elected to have recommended US
• 5% suspicious US finding
• PPV 6.7%
• 3.25 additional cancers/1000 women
39. Screening Breast Ultrasound: Mills-
Peninsula 2011 Data
• Performed 1,432 screening breast ultrasound
in women with dense breasts
• 7 ultrasound-detected cancers.
• Additional 4.9 cancers/1,000 women
• Increase in breast cancer detection rate: 5%
40. Breast Ultrasound: Limitations
• Resources: staff and time intensive; low
reimbursement
• Operator/experience and equipment dependent
• ACR accreditation not required; variable quality
of care
• No mandate for insurance coverage
• False positive rate; low PPV
– ACRIN 6666; JAMA, 2008: Adding US to
mammography results in 4x as many false positives.
43. American Cancer Society: Breast MRI
Screening Guidelines: 2007
• Annual breast MRI screening, in addition to
mammography, in the following high risk
women:
– Known BRCA1/BRCA2 mutations
– First degree relative of known mutations
– Greater than 20% lifetime risk based on computer
risk assessment models
– Chest radiation therapy between ages 10-30
– Li-Fraumeni, Cowden and Bannayan-Riley-
Ruvalcaba syndromes and first degree relatives
44.
45. Breast Cancer Detection Yield of MRI
• Nine studies evaluating role of MRI in addition
to mammography in high risk women:
• Increase in breast cancer detection (yield) of
11-14/1000
• No studies evaluating efficacy of MRI
specifically in women with dense breasts.
46. Breast MRI: Limitations
• Costly; No mandate for insurance coverage
• Difficult exam: Requires intravenous contrast,
time intensive, uncomfortable
• Lacks specificity
• Competition for scanner time
47. Digital Breast Tomosynthesis (DBT)
• Advanced application of digital mammography.
• In early phases of clinical evaluation
• FDA approved for Hologic’s Selenia 3D
Dimensions System, February, 2011
• Utilizes multiple, limited-angle tomographic
images through a compressed breast during a 4
second exposure
• Images are reconstructed at 1 mm thin sections
and displayed on high resolution monitors along
with standard views
48. DBT
• Improves upon the major limitation of
mammography: overlapping tissue leading to
missed cancers and additional evaluation for
normal exams
• May increase lesion conspicuity, thus increase
breast cancer detection rate
• Early European studies: reduces call back rate by
40%
• No studies assessing efficacy specifically in
women with dense breasts
49. The 2D Mammography Image next to one slice of a DBT Image Set
2D DBT
The Difference is Clear
Hologic – Proprietary and Confidential
50. Summary
• New law requires that patients be notified if they have
“dense breasts” and informed that:
– The sensitivity of mammography is decreased in women
with dense breasts
– Breast density may be associated with an increased risk for
breast cancer
• Referring doctors will be informed of breast density in
patient’s official mammography report
• Ultrasound may be most effective supplemental
approach in improving early breast cancer detection in
women with dense breasts; especially those at
intermediate risk who do not meet risk criteria for MRI
51. Summary
• MRI has important role in smaller subset of
high-risk women with dense breasts who
meet ACS criteria
• DBT will improve breast cancer detection and
will eventually become standard of care in
mammographic screening
• Screening options will become increasing
tailored for the individual woman, based on
age, breast density and other risk factors.