Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results
AIM: To compare the diagnostic performance of abbreviated breast magnetic resonance (ABMR) imaging (MRI) and digital breast tomosynthesis (DBT) for breast cancer detection in Malaysian women with dense breasts, using histopathology as the reference standard. MATERIALS AND METHODS: This was a single...
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my.um.eprints.454822024-10-22T07:52:27Z http://eprints.um.edu.my/45482/ Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results Hamid, M.T. Ramli Ab Mumin, N. Hamid, S. Abdul Saman, M.S. Ahmad Rahmat, Kartini R Medicine (General) AIM: To compare the diagnostic performance of abbreviated breast magnetic resonance (ABMR) imaging (MRI) and digital breast tomosynthesis (DBT) for breast cancer detection in Malaysian women with dense breasts, using histopathology as the reference standard. MATERIALS AND METHODS: This was a single -centre cross-sectional study of 115 women with American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BIRADS) breast density C and D on DBT with breast lesions who underwent AB-MR from June 2018 to December 2021. AB-MR was performed on a 3 T MRI system with an imaging protocol consisting of three sequences: axial T1 fat-saturated unenhanced; axial first contrast-enhanced; and subtracted first contrast-enhanced with maximum intensity projection (MIP). DBT and AB-MR images were evaluated by two radiologists blinded to the histopathology and patient outcomes. Diagnostic accuracy (sensitivity, specificity, positive predictive value PPV] and negative predictive value NPV]) was assessed. RESULT: Of the 115 women, the mean age was 50.6 years. There were 48 (41.7%) Malay, 54 (47%) Chinese, and 12 (10.4%) Indian women. The majority (n=87, 75.7%) were from the diagnostic population. Sixty-one (53.1%) were premenopausal and 54 (46.9%) postmenopausal. Seventy-eight (72.4%) had an increased risk of developing breast cancer. Ninety-one (79.1%) women had density C and 24 (20.9%) had density D. There were 164 histopathology-proven lesions; 69 (42.1%) were malignant and 95 (57.9%) were benign. There were 62.8% (n=103/ 164) lesions detected at DBT. All the malignant lesions 100% (n=69) and 35.7% (n=34) of benign lesions were detected. Of the 61 lesions that were not detected, 46 (75.4%) were in density C, and 15 (24.6%) were in density D. The sensitivity, specificity, PPV, and NPV for DBT were 98.5%, 34.6%, 66.3%, and 94.7%, respectively. There were 65.2% (n=107/164) lesions detected on AB-MR, with 98.6% (n=68) malignant and 41.1% (39) benign lesions detected. The sensitivity, specificity, PPV, and NPV for AB-MR were 98.5%, 43.9%, 67.2%, and 96.2%, respectively. One malignant lesion (0.6%), which was a low-grade ductal carcinoma in -situ (DCIS), was missed on AB -MR. CONCLUSION: The present findings suggest that both DBT and AB -MR have comparable effectiveness as an imaging method for detecting breast cancer and have high NPV for low -risk lesions in women with dense breasts. (c) 2024 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved. Elsevier 2024-04 Article PeerReviewed Hamid, M.T. Ramli and Ab Mumin, N. and Hamid, S. Abdul and Saman, M.S. Ahmad and Rahmat, Kartini (2024) Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results. CLINICAL RADIOLOGY, 79 (4). e524-e531. ISSN 0009-9260, DOI https://doi.org/10.1016/j.crad.2023.12.016 <https://doi.org/10.1016/j.crad.2023.12.016>. https://doi.org/10.1016/j.crad.2023.12.016 10.1016/j.crad.2023.12.016 |
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R Medicine (General) Hamid, M.T. Ramli Ab Mumin, N. Hamid, S. Abdul Saman, M.S. Ahmad Rahmat, Kartini Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results |
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AIM: To compare the diagnostic performance of abbreviated breast magnetic resonance (ABMR) imaging (MRI) and digital breast tomosynthesis (DBT) for breast cancer detection in Malaysian women with dense breasts, using histopathology as the reference standard. MATERIALS AND METHODS: This was a single -centre cross-sectional study of 115 women with American College of Radiology (ACR) Breast Imaging-Reporting and Data System (BIRADS) breast density C and D on DBT with breast lesions who underwent AB-MR from June 2018 to December 2021. AB-MR was performed on a 3 T MRI system with an imaging protocol consisting of three sequences: axial T1 fat-saturated unenhanced; axial first contrast-enhanced; and subtracted first contrast-enhanced with maximum intensity projection (MIP). DBT and AB-MR images were evaluated by two radiologists blinded to the histopathology and patient outcomes. Diagnostic accuracy (sensitivity, specificity, positive predictive value PPV] and negative predictive value NPV]) was assessed. RESULT: Of the 115 women, the mean age was 50.6 years. There were 48 (41.7%) Malay, 54 (47%) Chinese, and 12 (10.4%) Indian women. The majority (n=87, 75.7%) were from the diagnostic population. Sixty-one (53.1%) were premenopausal and 54 (46.9%) postmenopausal. Seventy-eight (72.4%) had an increased risk of developing breast cancer. Ninety-one (79.1%) women had density C and 24 (20.9%) had density D. There were 164 histopathology-proven lesions; 69 (42.1%) were malignant and 95 (57.9%) were benign. There were 62.8% (n=103/ 164) lesions detected at DBT. All the malignant lesions 100% (n=69) and 35.7% (n=34) of benign lesions were detected. Of the 61 lesions that were not detected, 46 (75.4%) were in density C, and 15 (24.6%) were in density D. The sensitivity, specificity, PPV, and NPV for DBT were 98.5%, 34.6%, 66.3%, and 94.7%, respectively. There were 65.2% (n=107/164) lesions detected on AB-MR, with 98.6% (n=68) malignant and 41.1% (39) benign lesions detected. The sensitivity, specificity, PPV, and NPV for AB-MR were 98.5%, 43.9%, 67.2%, and 96.2%, respectively. One malignant lesion (0.6%), which was a low-grade ductal carcinoma in -situ (DCIS), was missed on AB -MR. CONCLUSION: The present findings suggest that both DBT and AB -MR have comparable effectiveness as an imaging method for detecting breast cancer and have high NPV for low -risk lesions in women with dense breasts. (c) 2024 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved. |
format |
Article |
author |
Hamid, M.T. Ramli Ab Mumin, N. Hamid, S. Abdul Saman, M.S. Ahmad Rahmat, Kartini |
author_facet |
Hamid, M.T. Ramli Ab Mumin, N. Hamid, S. Abdul Saman, M.S. Ahmad Rahmat, Kartini |
author_sort |
Hamid, M.T. Ramli |
title |
Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results |
title_short |
Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results |
title_full |
Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results |
title_fullStr |
Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results |
title_full_unstemmed |
Abbreviated breast magnetic resonance imaging (MRI) or digital breast tomosynthesis for breast cancer detection in dense breasts? A retrospective preliminary study with comparable results |
title_sort |
abbreviated breast magnetic resonance imaging (mri) or digital breast tomosynthesis for breast cancer detection in dense breasts? a retrospective preliminary study with comparable results |
publisher |
Elsevier |
publishDate |
2024 |
url |
http://eprints.um.edu.my/45482/ https://doi.org/10.1016/j.crad.2023.12.016 |
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1814047567069052928 |
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13.211869 |