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自动乳腺超声在机会性筛查和诊断评估中具有可比的诊断性能。

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

机构信息

Department of Biomedical Imaging, Universiti Malaya Research Imaging Centre, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

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.

出版信息

Ultrasound Med Biol. 2024 Jan;50(1):112-118. doi: 10.1016/j.ultrasmedbio.2023.09.011. Epub 2023 Oct 14.

DOI:10.1016/j.ultrasmedbio.2023.09.011
PMID:37839984
Abstract

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.

摘要

目的

本研究旨在评估自动乳腺超声(ABUS)作为数字乳腺断层合成(DBT)在筛查和诊断中的辅助手段的性能。

方法

本研究为一项横断面研究,纳入了 2019 年 12 月至 2022 年 3 月期间接受 DBT 和 ABUS 检查的女性,包括机会性和靶向筛查病例以及有症状的女性。收集并比较了乳腺密度、乳腺影像报告和数据系统(BI-RADS)分类以及组织病理学报告。计算了阳性预测值 3(异常发现的检查中有多少导致癌症的组织诊断,PPV3)、活检率(进行活检的百分比)和癌症检出率(诊断性检查发现的恶性肿瘤数量)。

结果

共进行了 1089 次 ABUS 检查(年龄范围:29-85 岁,平均年龄:51.9 岁)。其中 909 次为筛查(83.5%),180 次为诊断(16.5%)。对 407 名患者进行了 579 次活检,活检率为 53.2%。共发现 100 例(9.2%)恶性病变、30 例(5.2%)非典型/B3 病变和 414 例(71.5%)良性病变。在 9 例(0.08%)中,仅 ABUS 检测到恶性肿瘤,在 19 例(1.7%)中,仅 DBT 检测到恶性肿瘤。筛查组的阳性预测值 3 为 14.6%。

结论

ABUS 在机会性筛查和诊断环境中作为 DBT 的辅助手段是有用的。

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