Evidence map›Paper›PMID 38807064›Full record

ArticleBMC medical imaging2024

Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study.

Li-Fang Yu, Chao-Chao Dai, Luo-Xi Zhu, Xiao-Jing Xu, Hong-Ju Yan, Chen-Xiang Jiang, Ling-Yun Bao

Abstract read
In one paragraph

Article in BMC medical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Li-Fang YuDepartment of Ultrasound, Hangzhou First People's Hospital, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Chao-Chao DaiDepartment of Ultrasound, Hangzhou First People's Hospital, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Luo-Xi ZhuDepartment of Ultrasound, Hangzhou First People's Hospital, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Xiao-Jing XuDepartment of Ultrasound, Hangzhou First People's Hospital, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Hong-Ju YanDepartment of Ultrasound, Hangzhou First People's Hospital, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Chen-Xiang JiangDepartment of Ultrasound, Hangzhou First People's Hospital, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
Ling-Yun BaoDepartment of Ultrasound, Hangzhou First People's Hospital, No.261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China. baolingyun2021@163.com.

Funding

Hangzhou Biomedical and Health Industry Development Support Special Project 2023WJC142
6 · The paper itself

Abstract

backgroundAutomated Breast Ultrasound (AB US) has shown good application value and prospects in breast disease screening and diagnosis. The aim of the study was to explore the ability of AB US to detect and diagnose mammographically Breast Imaging Reporting and Data System (BI-RADS) category 4 microcalcifications.

methods575 pathologically confirmed mammographically BI-RADS category 4 microcalcifications from January 2017 to June 2021 were included. All patients also completed AB US examinations. Based on the final pathological results, analyzed and summarized the AB US image features, and compared the evaluation results with mammography, to explore the detection and diagnostic ability of AB US for these suspicious microcalcifications.

results250 were finally confirmed as malignant and 325 were benign. Mammographic findings including microcalcifications morphology (61/80 with amorphous, coarse heterogeneous and fine pleomorphic, 13/14 with fine-linear or branching), calcification distribution (189/346 with grouped, 40/67 with linear and segmental), associated features (70/96 with asymmetric shadow), higher BI-RADS category with 4B (88/120) and 4 C (73/38) showed higher incidence in malignant lesions, and were the independent factors associated with malignant microcalcifications. 477 (477/575, 83.0%) microcalcifications were detected by AB US, including 223 malignant and 254 benign, with a significantly higher detection rate for malignant lesions (x

conclusionsAB US has good detectability for mammographically BI-RADS category 4 microcalcifications, especially for malignant lesions. Malignant calcification is more common in a mass and intraductal in AB US, and tend to associated with architectural distortion or duct changes. Also, AB US has higher sensitivity than mammography to malignant microcalcification, which is expected to become an effective supplementary examination method for breast microcalcifications, especially in dense breasts.

Indexed as

Breast NeoplasmsCalcinosisUltrasonography, MammaryAdultAgedAged, 80 and overFemaleHumansMammographyMiddle AgedRetrospective StudiesAutomated breast ultrasoundBreast imaging reporting and Data SystemMammopgraphyMicrocalcification

Identifiers

PMID38807064
PMCPMC11134699

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.