Article
Medicine, General & Internal
Marc D. Ryser, Jane Lange, Lurdes Y. T. Inoue, Ellen S. O'Meara, Charlotte Gard, Diana L. Miglioretti, Jean-Luc Bulliard, Andrew F. Brouwer, E. Shelley Hwang, Ruth B. Etzioni
Summary: This study estimated the rate of breast cancer overdiagnosis in contemporary mammography practice, finding that about 1 in 7 cases of screen-detected cancer is overdiagnosed under biennial screening.
ANNALS OF INTERNAL MEDICINE
(2022)
Editorial Material
Biochemistry & Molecular Biology
Nehmat Houssami, Karla Kerlikowske
Summary: AI has the potential to be a new tool in the risk assessment and screening of breast cancer, but its impact on relevant clinical outcomes needs to be prospectively evaluated.
Article
Medicine, General & Internal
Trine Allerslev Horsbol, Susan Ishy Michelsen, Tina Harmer Lassen, Knud Juel, Janne Bigaard, Christina Engel Hoei-Hansen, Ilse Vejborg, Lau Caspar Thygesen
Summary: This study examined participation in the Danish national breast cancer screening program among women with intellectual disability (ID) and found that women with ID were significantly less likely to participate compared with women without ID. The findings suggest a need for tailored guidelines and approaches for breast cancer screening in this group of women.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yoel Shoshan, Ran Bakalo, Flora Gilboa-Solomon, Vadim Ratner, Ella Barkan, Michal Ozery-Flato, Mika Amit, Daniel Khapun, Emily B. Ambinder, Eniola T. Oluyemi, Babita Panigrahi, Philip A. DiCarlo, Michal Rosen-Zvi, Lisa A. Mullen
Summary: The study evaluated the use of artificial intelligence (AI) in improving the efficiency of digital breast tomosynthesis (DBT) screening. It found that AI can reduce the workload of radiologists without compromising sensitivity and recall rate compared to expert interpretations.
Article
Medicine, General & Internal
Leah M. Marcotte, Stefanie Deeds, Chelle Wheat, Eric Gunnink, Kristen Gray, Jorge Rojas, Carolyn Finch, Karin Nelson, Ashok Reddy
Summary: In this study, the effect of an opt-out automatic mammography referral strategy compared with an opt-in automated telephone message strategy on breast cancer screening was evaluated. The results showed no significant difference in mammography completion between the opt-out and opt-in groups, but more referrals were canceled in the opt-out group.
JAMA INTERNAL MEDICINE
(2023)
Article
Oncology
Shih-Yung Su
Summary: The nationwide screening program with biennial mammography in Taiwan may have contributed to the attenuation of breast cancer mortality trends in women aged 40-69.
Article
Medical Informatics
Sian Taylor-Phillips, Farah Seedat, Goda Kijauskaite, John Marshall, Steve Halligan, Chris Hyde, Rosalind Given-Wilson, Louise Wilkinson, Alastair K. Denniston, Ben Glocker, Peter Garrett, Anne Mackie, Robert J. Steele
Summary: Artificial intelligence has the potential to accurately classify mammograms and replace or supplement radiologists in breast cancer screening. Evaluations of AI systems by the UK National Screening Committee focus on maximizing benefits and minimizing harms to women. Additional information on the spectrum of disease detected and interval cancers is crucial for understanding the benefits and harms of screening.
LANCET DIGITAL HEALTH
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Tone Hovda, Kaitlyn Tsuruda, Solveig Roth Hoff, Kristine Kleivi Sahlberg, Solveig Hofvind
Summary: The study reviewed mammograms for 1225 women with screen-detected breast cancer. Results showed that visible findings on prior screening mammograms were not necessarily indicative of screening failure. Some cases were classified as missed, aiming to improve the quality of breast cancer screening.
EUROPEAN RADIOLOGY
(2021)
Article
Medical Informatics
Christian Leibig, Moritz Brehmer, Stefan Bunk, Danaiyn Byng, Katja Pinkert, Lale Umutlut
Summary: This study evaluated the performance of a decision-referral approach integrating artificial intelligence (AI) into the breast-cancer screening pathway. The results showed that this approach outperformed standalone AI systems and radiologist decisions in terms of sensitivity and specificity, indicating its potential to improve screening accuracy.
LANCET DIGITAL HEALTH
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Stefanie Weigel, Walter Heindel, Hans-Werner Hense, Thomas Decker, Joachim Gerss, Laura Kerschke, TOSYMA Screening Trial Study Grp
Summary: The TOSYMA study showed that digital breast tomosynthesis plus synthesized mammography (DBT plus SM) has a higher invasive cancer detection rate compared to digital mammography (DM) in dense breasts.
Article
Obstetrics & Gynecology
W. Tania Rahman, Mark A. Helvie
Summary: Breast cancer is the most common cancer among females worldwide. Screening mammography and advancements in therapy have significantly reduced mortality. Digital breast tomosynthesis is a new technology that improves the sensitivity and specificity of mammography. High-risk patients should undergo regular screening, and pregnant and lactating women should also receive age-appropriate screening.
BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Adam Yala, Peter G. Mikhael, Constance Lehman, Gigin G. Lin, Fredrik Strand, Yung-Liang Wan, Kevin Hughes, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Gichoya, Hari Trivedi, Regina Barzilay
Summary: A reinforcement learning model, Tempo, was introduced to predict risk-based follow-up recommendations in breast cancer screening. The model was trained and validated using large datasets from multiple hospitals. The results showed that Tempo combined with an image-based AI risk model outperformed current clinical practice in terms of simulated early detection. The study demonstrated the potential of AI-based risk models and agile AI-designed screening policies in improving screening programs.
Article
Oncology
Anna N. Wilkinson, Larry F. Ellison, Jean-Michel Billette, Jean M. Seely
Summary: The study found that screening programs including women in their 40s were associated with a significantly higher 10-year breast cancer survival rate for women aged 40-49, without increasing the diagnosis rate of breast cancer.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Medicine, General & Internal
Amy H. Farkas, Ann B. Nattinger
Summary: Breast cancer is the most common cancer among U.S. women, with its incidence increasing with age. Various factors like endogenous estrogen exposure, benign breast disease, breast density, and family history can indicate increased risk for breast cancer. Early detection through screening mammography helps reduce breast cancer mortality, but the benefits vary depending on age. Evaluating a patient's individual risk can guide decisions on breast cancer screening. All women benefit from healthy behaviors that can lower the risk. Women at higher risk may benefit from risk-reducing medications. The use of screening measures, especially among uninsured women, remains suboptimal.
ANNALS OF INTERNAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Melissa A. Durand, Sarah M. Friedewald, Donna M. Plecha, Debra S. Copit, Lora D. Barke, Stephen L. Rose, Mary K. Hayes, Linda N. Greer, Firas M. Dabbous, Emily F. Conant
Summary: This study investigated the impact of digital breast tomosynthesis (DBT) on breast cancer screening, and found that DBT can improve sensitivity and specificity for detecting breast cancer, identifying more invasive cancers.
Article
Oncology
Barbro Numan Hellquist, Kamila Czene, Anna Hjalm, Lennarth Nystrom, Hakan Jonsson
Article
Public, Environmental & Occupational Health
Barbro Numan Hellquist, Stephen W. Duffy, Lennarth Nystrom, Hakan Jonsson
JOURNAL OF MEDICAL SCREENING
(2012)
Article
Oncology
Olof Sjostrom, Gustav Silander, Ingvar Syk, Roger Henriksson, Beatrice Melin, Barbro N. Hellquist
Article
Oncology
Carolina Hawranek, Johan Maxon, Andreas Andersson, Bethany Van Guelpen, Senada Hajdarevic, Barbro Numan Hellquist, Anna Rosen
Summary: This study measured cancer worry levels in the general population and found that women and parents had higher levels of worry. People with higher worry levels were more willing to undergo colonoscopy screening.
Article
Oncology
Andreas Andersson, Carolina Hawranek, Anna Ofverholm, Hans Ehrencrona, Kalle Grill, Senada Hajdarevic, Beatrice Melin, Emma Tham, Barbro Numan Hellquist, Anna Rosen
HEREDITARY CANCER IN CLINICAL PRACTICE
(2020)