دورية أكاديمية

Automated Breast Ultrasound Provides Comparable Diagnostic Performance in Opportunistic Screening and Diagnostic Assessment.

التفاصيل البيبلوغرافية
العنوان: Automated Breast Ultrasound Provides Comparable Diagnostic Performance in Opportunistic Screening and Diagnostic Assessment.
المؤلفون: Rahmat K; Department of Biomedical Imaging, Universiti Malaya Research Imaging Centre, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia., Ab Mumin N; Department of Biomedical Imaging, Universiti Malaya Research Imaging Centre, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia; Department of Radiology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia. Electronic address: nazimah_mumin@uitm.edu.my., Ng WL; Department of Biomedical Imaging, Universiti Malaya Research Imaging Centre, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia., Mohd Taib NA; Department of Surgery, Faculty of Medicine, University Malaya Cancer Research Institute, University Malaya, Kuala Lumpur, Malaysia., Chan WY; Imaging Department, Gleneagles Kuala Lumpur, Jalan Ampang, Kuala Lumpur, Malaysia., Ramli Hamid MT; Department of Radiology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
المصدر: Ultrasound in medicine & biology [Ultrasound Med Biol] 2024 Jan; Vol. 50 (1), pp. 112-118. Date of Electronic Publication: 2023 Oct 14.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Pergamon Press Country of Publication: England NLM ID: 0410553 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-291X (Electronic) Linking ISSN: 03015629 NLM ISO Abbreviation: Ultrasound Med Biol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Oxford, New York, Pergamon Press.
مواضيع طبية MeSH: Neoplasms* , Breast Neoplasms*/diagnostic imaging, Humans ; Female ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Early Detection of Cancer/methods ; Mass Screening/methods ; Mammography/methods ; Retrospective Studies
مستخلص: Objective: The aim of the work described here was to assess the performance of automated breast ultrasound (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.
Competing Interests: Conflict of interest The authors declare no competing interests.
(Copyright © 2023 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.)
فهرسة مساهمة: Keywords: Automated breast ultrasound; Breast cancer; Digital breast tomosynthesis; Ultrasound
تواريخ الأحداث: Date Created: 20231015 Date Completed: 20231120 Latest Revision: 20231120
رمز التحديث: 20231120
DOI: 10.1016/j.ultrasmedbio.2023.09.011
PMID: 37839984
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-291X
DOI:10.1016/j.ultrasmedbio.2023.09.011