Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities

This study aims to assess the diagnostic accuracy of digital breast tomosynthesis in combination with full field digital mammography (DBT+FFDM) in the charaterisation of Breast Imaging-reporting and Data System (BI-RADS) category 3, 4 and 5 lesions. Retrospective cross-sectional study of 390 patient...

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Main Authors: Sanmugasiva, Vithya Visalatchi, Hamid, Marlina Tanty Ramli, Fadzli, Farhana, Rozalli, Faizatul Izza, Yeong, Chai Hong, Ab Mumin, Nazimah, Rahmat, Kartini
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Published: Nature Research 2020
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Online Access:http://eprints.um.edu.my/36180/
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spelling my.um.eprints.361802023-11-29T04:15:53Z http://eprints.um.edu.my/36180/ Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities Sanmugasiva, Vithya Visalatchi Hamid, Marlina Tanty Ramli Fadzli, Farhana Rozalli, Faizatul Izza Yeong, Chai Hong Ab Mumin, Nazimah Rahmat, Kartini R Medicine (General) Medical technology This study aims to assess the diagnostic accuracy of digital breast tomosynthesis in combination with full field digital mammography (DBT+FFDM) in the charaterisation of Breast Imaging-reporting and Data System (BI-RADS) category 3, 4 and 5 lesions. Retrospective cross-sectional study of 390 patients with BI-RADS 3, 4 and 5 mammography with available histopathology examination results were recruited from in a single center of a multi-ethnic Asian population. 2 readers independently reported the FFDM and DBT images and classified lesions detected (mass, calcifications, asymmetric density and architectural distortion) based on American College of Radiology-BI-RADS lexicon. Of the 390 patients recruited, 182 malignancies were reported. Positive predictive value (PPV) of cancer was 46.7%. The PPV in BI-RADS 4a, 4b, 4c and 5 were 6.0%, 38.3%, 68.9%, and 93.1%, respectively. Among all the cancers, 76% presented as masses, 4% as calcifications and 20% as asymmetry. An additional of 4% of cancers were detected on ultrasound. The sensitivity, specificity, PPV and NPV of mass lesions detected on DBT+FFDM were 93.8%, 85.1%, 88.8% and 91.5%, respectively. The PPV for calcification is 61.6% and asymmetry is 60.7%. 81.6% of cancer detected were invasive and 13.3% were in-situ type. Our study showed that DBT is proven to be an effective tool in the diagnosis and characterization of breast lesions and supports the current body of literature that states that integrating DBT to FFDM allows good characterization of breast lesions and accurate diagnosis of cancer. Nature Research 2020-12 Article PeerReviewed Sanmugasiva, Vithya Visalatchi and Hamid, Marlina Tanty Ramli and Fadzli, Farhana and Rozalli, Faizatul Izza and Yeong, Chai Hong and Ab Mumin, Nazimah and Rahmat, Kartini (2020) Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities. Scientific Reports, 10 (1). ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-020-77456-6 <https://doi.org/10.1038/s41598-020-77456-6>. 10.1038/s41598-020-77456-6
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine (General)
Medical technology
spellingShingle R Medicine (General)
Medical technology
Sanmugasiva, Vithya Visalatchi
Hamid, Marlina Tanty Ramli
Fadzli, Farhana
Rozalli, Faizatul Izza
Yeong, Chai Hong
Ab Mumin, Nazimah
Rahmat, Kartini
Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities
description This study aims to assess the diagnostic accuracy of digital breast tomosynthesis in combination with full field digital mammography (DBT+FFDM) in the charaterisation of Breast Imaging-reporting and Data System (BI-RADS) category 3, 4 and 5 lesions. Retrospective cross-sectional study of 390 patients with BI-RADS 3, 4 and 5 mammography with available histopathology examination results were recruited from in a single center of a multi-ethnic Asian population. 2 readers independently reported the FFDM and DBT images and classified lesions detected (mass, calcifications, asymmetric density and architectural distortion) based on American College of Radiology-BI-RADS lexicon. Of the 390 patients recruited, 182 malignancies were reported. Positive predictive value (PPV) of cancer was 46.7%. The PPV in BI-RADS 4a, 4b, 4c and 5 were 6.0%, 38.3%, 68.9%, and 93.1%, respectively. Among all the cancers, 76% presented as masses, 4% as calcifications and 20% as asymmetry. An additional of 4% of cancers were detected on ultrasound. The sensitivity, specificity, PPV and NPV of mass lesions detected on DBT+FFDM were 93.8%, 85.1%, 88.8% and 91.5%, respectively. The PPV for calcification is 61.6% and asymmetry is 60.7%. 81.6% of cancer detected were invasive and 13.3% were in-situ type. Our study showed that DBT is proven to be an effective tool in the diagnosis and characterization of breast lesions and supports the current body of literature that states that integrating DBT to FFDM allows good characterization of breast lesions and accurate diagnosis of cancer.
format Article
author Sanmugasiva, Vithya Visalatchi
Hamid, Marlina Tanty Ramli
Fadzli, Farhana
Rozalli, Faizatul Izza
Yeong, Chai Hong
Ab Mumin, Nazimah
Rahmat, Kartini
author_facet Sanmugasiva, Vithya Visalatchi
Hamid, Marlina Tanty Ramli
Fadzli, Farhana
Rozalli, Faizatul Izza
Yeong, Chai Hong
Ab Mumin, Nazimah
Rahmat, Kartini
author_sort Sanmugasiva, Vithya Visalatchi
title Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities
title_short Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities
title_full Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities
title_fullStr Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities
title_full_unstemmed Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities
title_sort diagnostic accuracy of digital breast tomosynthesis in combination with 2d mammography for the characterisation of mammographic abnormalities
publisher Nature Research
publishDate 2020
url http://eprints.um.edu.my/36180/
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