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AI software can help increase detection of interval cancers on screening mammograms that were missed by two human readers, according to research published August 27 in Radiology. Lunit) to 2,052 screening mammograms acquired between January 2011 to December 2018 and interpreted by two readers.
The announcement was made at the Radiological Society of North America (RSNA) 2024 Annual Meeting in Chicago. Efficiency Gains and Enhanced Screening Metrics The follow-up study analyzed screening metrics from two nine-month periods: July 2018–March 2019 (pre-AI/pre-COVID) and July 2023–March 2024 (post-AI implementation).
In 2018, she led a study on automated breast density assessment for informing cancer risk, and in 2022, she and colleagues studied the impact of digital breast tomosynthesis (DBT) on imaging dense breasts. Kerlikowske has studied breast density on imaging. The study can be found here.
Customized pairing strategies do not significantly improve mammography double reading performance, according to Dutch findings published October 24 in Radiology. They used retrospective data with reading outcomes from breast cancer screening programs in Sweden (2008 to 2015), England (2012 to 2014), and Norway (2004 to 2018).
according to findings published December 10 in Radiology. Hendrick and Monticciolo said that many women unable to get their annual mammograms during the peak of the COVID-19 pandemic in 2020 have not returned to yearly screening. The rate of late-stage breast cancers is on the rise in the U.S., They added that the U.S.
With radiology being the hottest and most technologically advancing speciality, attracting the attention of many doctors, let us have a brief look at how it all began. Radiology has been around for over a century. It has become one of the most important topics of research and development in clinical radiology. (17)
The results of the study were published today, April 11, in Radiology , a journal of the Radiological Society of North America ( RSNA ). “Our community practices, the research team collected DBT screening exams from five BCSC registries between 2011 and 2018. Our study demonstrated that more radiologists in U.S.
Almost 43% of women over 40 years old have dense breast tissue that can obscure lesions on traditional 2D mammograms, making cancers harder to detect and recalls more likely [6]. 1 Philpotts L, Kalra V, Crenshaw J, Butler R ‐ Radiological Society of North America 2013, SSK01‐09 [2] Friedewald SM, Rafferty EA, Rose SL, et al.
milla1cf Fri, 05/05/2023 - 17:31 May 5, 2023 — The American College of Radiology ( ACR ), Breast Cancer Research Foundation (BCRF) and GE HealthCare announce the enrollment of the first patients in the Contrast-Enhanced Mammography Imaging Screening Trial (CMIST). 2018 Apr;101:24-29 [3] Nelson HD, Zakher B, Cantor A, et al.
Preventive Services Task Force (USPSTF) breast cancer screening guidelines has drawn the ire of the American College of Radiology (ACR). Harris was a member of the RTI International–University of North Carolina Evidence-based Practice Center, where he conducted systematic reviews for the USPSTF from 1997 to 2018.
IntelliMaven is designed to increase radiological technologists’ clinical confidence and autonomy, and to limit interruptions to radiologists when reading exams. Radiology: Artificial Intelligence. European Congress of Radiology. 2018) A comparison of five methods of measuring mammographic density: a case- control study.
Batch reading of digital breast tomosynthesis (DBT) exams can improve the reading performance of radiologists, according to research published November 12 in Radiology. Previous studies suggest that imaging readers experience perceptual adaptation when interpreting batched screening mammograms. at the first within-batch DBT exam to 10.5%
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