Rahmat, Kartini and Ab Mumin, Nazimah and Ng, Wei Lin and Taib, Nur Aishah Mohd and Chan, Wai Yee and Hamid, Marlina Tanty Ramli (2024) Automated breast ultrasound provides comparable diagnostic performance in opportunistic screening and diagnostic assessment. Ultrasound in Medicine and Biology, 50 (1). pp. 112-118. ISSN 0301-5629, DOI https://doi.org/10.1016/j.ultrasmedbio.2023.09.011.
Full text not available from this repository.Abstract
(ABUS) as an adjunct to digital breast tomosynthesis (DBT) in the screening and diagnostic setting. Methods: This cross-sectional study of women who underwent DBT and ABUS from December 2019 to March 2022 included opportunistic and targeted screening cases, as well as symptomatic women. Breast density, Breast Imaging Reporting and Data System categories and histopathology reports were collected and compared. The PPV3 (proportion of examinations with abnormal findings that resulted in a tissue diagnosis of cancer), biopsy rate (percentage of biopsies performed) and cancer detection yield (number of malignancies found by the diagnostic test given to the study sample) were calculated. Results: A total of 1089 ABUS examinations were performed (age range: 29-85 y, mean: 51.9 y). Among these were 909 screening (83.5%) and 180 diagnostic (16.5%) examinations. A total of 579 biopsies were performed on 407 patients, with a biopsy rate of 53.2%. There were 100 (9.2%) malignant lesions, 30 (5.2%) atypical/B3 lesions and 414 (71.5%) benign cases. In 9 cases (0.08%), ABUS alone detected malignancies, and in 19 cases (1.7%), DBT alone detected malignancies. The PPV3 in the screening group was 14.6%. Conclusion: ABUS is useful as an adjunct to DBT in the opportunistic screening and diagnostic setting.
| Item Type: | Article |
|---|---|
| Funders: | GE Precision Healthcare LLC |
| Uncontrolled Keywords: | Automated breast ultrasound; Digital breast tomosynthesis; Breast cancer; Ultrasound |
| Subjects: | R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) R Medicine > RD Surgery |
| Divisions: | Faculty of Medicine > Biomedical Imaging Department Faculty of Medicine > Surgery Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 01 Jul 2024 06:13 |
| Last Modified: | 01 Jul 2024 06:13 |
| URI: | http://eprints.um.edu.my/id/eprint/44292 |
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