Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk

European Journal of Radiology
Albert Gubern-MéridaBram Platel

Abstract

To evaluate the performance of an automated computer-aided detection (CAD) system to detect breast cancers that were overlooked or misinterpreted in a breast MRI screening program for women at increased risk. We identified 40 patients that were diagnosed with breast cancer in MRI and had a prior MRI examination reported as negative available. In these prior examinations, 24 lesions could retrospectively be identified by two breast radiologists in consensus: 11 were scored as visible and 13 as minimally visible. Additionally, 120 normal scans were collected from 120 women without history of breast cancer or breast surgery participating in the same MRI screening program. A fully automated CAD system was applied to this dataset to detect malignant lesions. At 4 false-positives per normal case, the sensitivity for the detection of cancer lesions that were visible or minimally visible in retrospect in prior-negative examinations was 0.71 (95% CI=0.38-1.00) and 0.31 (0.07-0.59), respectively. A substantial proportion of cancers that were misinterpreted or overlooked in an MRI screening program was detected by a CAD system in prior-negative examinations. It has to be clarified with further studies if such a CAD system has an influence...Continue Reading

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Dec 24, 2014·Medical Image Analysis·Albert Gubern-MéridaBram Platel

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Citations

Jan 18, 2018·Journal of Medical Imaging·Mehmet Ufuk DalmışAlbert Gubern-Mérida
Feb 1, 2018·Breast Cancer Research and Treatment·S VreemannR M Mann
Jul 26, 2019·Journal of Magnetic Resonance Imaging : JMRI·Deepa Sheth, Maryellen L Giger
Mar 20, 2021·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Katrina E KorhonenEmily F Conant
Sep 29, 2019·Medical Image Analysis·Gabriel MaicasGustavo Carneiro
Aug 10, 2021·Medical Physics·Fazael AyatollahiJonas Teuwen

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