Purpose: Screening mammogram reading volume (SMRV) and total (screening and clinical) mammogram reading volume (TMRV) per year are strongly associated with the radiologist's diagnostic performance in breast cancer screening. The current article reports the prevalence and correlates of a SMRV and a TMRV ≥5000 among Italian breast screening radiologists.
Materials And Methods: A questionnaire survey was carried out in 2013-2014 by the Italian Group for Mammography Screening (GISMa). The questionnaire included items of information for radiologist's experience-related characteristics and for facility-level factors supposedly associated with SMRV and TMRV. Multivariate analysis was performed using backward stepwise multiple logistic regression models.
Results: Data for 235 radiologists from 51 local screening programmes were received. Of the 222 radiologists who were eligible, 133 (59.9 %) reported a SMRV ≥5000 and 163 (73.4 %) a TMRV ≥5000. Multivariate factors positively associated with both characteristics included: the number of years of experience reading mammograms; the percentage of total working time dedicated to breast imaging and breast care; the participation in diagnostic assessment; and the availability of digital tomosynthesis at facility. Full-time dedication to breast imaging and breast care was associated with the highest odds ratio for a SMRV and a TMRV ≥5000, i.e. 11.80 and 46.74, respectively, versus a percentage of time ≤50 %. An early (<2000) year of implementation of the screening programme and the availability of vacuum-assisted biopsy at facility were associated with a SMRV and, respectively, a TMRV ≥5000.
Conclusions: Increasing the proportion of radiologists with full-time dedication to breast imaging and breast care qualified as the most effective approach to improve SMRV and TMRV.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11547-016-0631-8 | DOI Listing |
Radiographics
February 2025
From the Washington University School of Medicine, Mallinckrodt Institute of Radiology, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Annual review of false-negative (FN) mammograms is a mandatory and critical component of the Mammography Quality Standards Act (MQSA) annual mammography audit. FN review can help hone reading skills and improve the ability to detect cancers at mammography. Subtle architectural distortion, asymmetries (seen only on one view), small lesions, lesions with probably benign appearance (circumscribed regular borders), isolated microcalcifications, and skin thickening are the most common mammographic findings when the malignancy is visible at retrospective review of FN mammograms.
View Article and Find Full Text PDFEur Radiol
January 2025
Radboud University Medical Center, IQ Health science department, Nijmegen, The Netherlands.
Objectives: It is uncertain what the effects of introducing digital breast tomosynthesis (DBT) in the Dutch breast cancer screening programme would be on detection, recall, and interval cancers (ICs), while reading times are expected to increase. Therefore, an investigation into the efficiency and cost-effectiveness of DBT screening while optimising reading is required.
Materials And Methods: The Screening Tomosynthesis trial with advanced REAding Methods (STREAM) aims to include 17,275 women (age 50-72 years) eligible for breast cancer screening in the Netherlands for two biennial DBT screening rounds to determine the short-, medium-, and long-term effects and acceptability of DBT screening and identify an optimised strategy for reading DBT.
Nat Med
January 2025
Institute for Social Medicine and Epidemiology, University of Lübeck, Lubeck, Germany.
Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations, but few prospective studies exist. PRAIM is an observational, multicenter, real-world, noninferiority, implementation study comparing the performance of AI-supported double reading to standard double reading (without AI) among women (50-69 years old) undergoing organized mammography screening at 12 sites in Germany. Radiologists in this study voluntarily chose whether to use the AI system.
View Article and Find Full Text PDFClin Imaging
December 2024
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Yale School of Management, New Haven, CT, USA; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA. Electronic address:
Background: As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. We determine if readers of radiology reports, via electronic health records (EHRs), and radiology report complexity have changed post the implementation of the 21st Century Cures Act.
Methods: A retrospective observational study was used to analyze 10,000 radiology reports (equal split of CT, mammogram, MRI, X-ray, and ultrasound modalities) per year between 2013 and 2023.
Eur Radiol
December 2024
Radiology Diagnostics, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden.
Objectives: Limited understanding exists regarding non-detected cancers in digital breast tomosynthesis (DBT) screening. This study aims to classify non-detected cancers into true or false negatives, compare them with true positives, and analyze reasons for non-detection.
Materials And Methods: Conducted between 2010 and 2015, the prospective single-center Malmö Breast Tomosynthesis Screening Trial (MBTST) compared one-view DBT and two-view digital mammography (DM).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!