{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T18:09:47Z","timestamp":1780596587861,"version":"3.54.1"},"reference-count":62,"publisher":"Public Library of Science (PLoS)","issue":"6","license":[{"start":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T00:00:00Z","timestamp":1780531200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Selecting appropriate sample sizes in magnetic resonance imaging studies is a complex process that requires to balance statistical rigor with the practical challenges of measuring a large patient population. In this Institutional Review Board approved study, we evaluate the dominant error types (\u201cfinite N\u201d errors versus precision errors) for apparent diffusion coefficient (ADC)-based lesion characterization in diffusion-weighted magnetic resonance imaging (DWI) of the female breast in a local dataset and compare our results with current literature.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>First, in a literature review including 24 published breast DWI studies, the standard error of the area under the receiver operating characteristic curve as a measure of sample size-related errors (finite N errors) was estimated for the reported ADC values and compared to the values, derived from expert readings of a university hospital\u2019s cohort of 171 patients with suspicious breast lesions. Second, precision errors were assessed based on published analyses of the coefficient of variation of ADC values, measured in breast DWI exams.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Finite N errors were dominant in the in-house study and most of the 24 reviewed studies. The median sample size at which finite N errors and precision errors were equal was determined to be n\u2009=\u2009932.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>This analysis of dominant error types shows that the required sample sizes for the considered use case are not unreasonably large and that reducing sample sizes may not be justified based on the merits of the conducted analysis. Nonetheless, incorporating dominant error type assessments into future studies may provide valuable insights for optimizing study design and improving methodological rigor.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0341201","type":"journal-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T17:31:02Z","timestamp":1780594262000},"page":"e0341201","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Finite sample size errors in the context of multiple error sources in quantitative medical imaging: An evaluation for breast magnetic resonance diffusion-weighted imaging"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5030-1134","authenticated-orcid":true,"given":"Jessica 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Tozaki","year":"2009","journal-title":"AJR Am J Roentgenol"},{"issue":"7","key":"pone.0341201.ref037","doi-asserted-by":"crossref","DOI":"10.1002\/nbm.4508","article-title":"Understanding diffusion-weighted MRI analysis: Repeatability and performance of diffusion models in a benign breast lesion cohort","volume":"34","author":"NP Jerome","year":"2021","journal-title":"NMR Biomed"},{"issue":"2","key":"pone.0341201.ref038","doi-asserted-by":"crossref","first-page":"177","DOI":"10.18383\/j.tom.2020.00008","article-title":"Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial","volume":"6","author":"DC Newitt","year":"2020","journal-title":"Tomography"},{"issue":"6","key":"pone.0341201.ref039","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1002\/jmri.26539","article-title":"Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial","volume":"49","author":"DC 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