Dependence of observer task on conclusions drawn from in silico trials evaluating the performance of full-field digital mammography and digital breast tomosynthesis

Integrating classification tasks into ISTs and potentially physical phantom studies can provide additional information in the evaluation of clinical breast imaging systems. This methodology can enhance the reliability of performance assessments for new breast imaging technologies. Depending on the study's objective, ISTs and physical phantom studies should aim to employ tasks that closely model actual clinical scenarios.

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Publication Details

Journal
Journal of Medical Imaging
Published
2025-05-19
DOI
https://doi.org/10.1117/1.jmi.12.s1.s13014
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
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article

Dependence of observer task on conclusions drawn from in silico trials evaluating the performance of full-field digital mammography and digital breast tomosynthesis

Andrey Makeev, Stephen J. Glick, Dan Li
1 links
Journal of Medical Imaging
Digital Radiography and Breast Imaging
article

Dependence of observer task on conclusions drawn from in silico trials evaluating the performance of full-field digital mammography and digital breast tomosynthesis

Andrey Makeev, Stephen J. Glick, Dan Li
article en

Abstract

Integrating classification tasks into ISTs and potentially physical phantom studies can provide additional information in the evaluation of clinical breast imaging systems. This methodology can enhance the reliability of performance assessments for new breast imaging technologies. Depending on the study's objective, ISTs and physical phantom studies should aim to employ tasks that closely model actual clinical scenarios.

Journal of Medical ImagingVol. 12(S1)
United States Food and Drug Administration (US), Center for Devices and Radiological Health (US), Office of Science (US)
Zero hunger
Openalex Percentile: Top 82%
Digital Radiography and Breast Imaging
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