Evidence map›Paper›PMID 42094984›Full record

ArticleInternational journal of breast cancer2026

Multimodal Imaging of Diabetic Mastopathy: A 62-Case Study With Ultrasound-Based Classification and Diagnostic Accuracy.

Yilin Xu, Yingxue Wang, Xiaokang Li, Yaqing Li, Xuejing Liu, Yuzhe Zhao, Ying Zhu, Hong Lu

Abstract read
In one paragraph

Article in International journal of breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Yilin XuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China, tmucih.com.
Yingxue WangDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China, tmucih.com.
Xiaokang LiDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China, tmucih.com.
Yaqing LiDepartment of Breast Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China, tmucih.com.
Xuejing LiuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China, tmucih.com.ORCID https://orcid.org/0000-0003-3972-3583
Yuzhe ZhaoPhysical Examination Center, Qiqihar Hospital of Traditional Chinese Medicine, Qiqihar, China.
Ying ZhuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China, tmucih.com.
Hong LuDepartment of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China, tmucih.com.ORCID https://orcid.org/0000-0002-1004-1792

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study is to investigate the application of multimodal imaging technology in diagnosing diabetic mastopathy (DM). Methoods: This study retrospectively analyzed ultrasound, mammography, and MRI findings of pathologically confirmed DM from October 2014 to October 2024. Results: Ultrasonography was performed on all 62 patients with DM, identifying a total of 67 lesions. The ultrasound findings were classified into four types: Type I presented as a focal thickening and bulging of the gland with a mix of high and low echoes (42/67, 62.7%); Type II showed focal or overall hypoechoic areas with indistinct margins (19/67, 28.3%); Type III exhibited diffuse hypoechoicity in the lesion area, poorly visualized internal structures, and markedly attenuated posterior echoes (4/67, 6.0%); and Type IV consisted of slightly hypoechoic areas (2/67, 3.0%). The overall diagnostic accuracy of ultrasound was 58.2%. Fifty-one patients with a total of 58 lesions underwent mammography. Eighteen lesions (31.0%) were negative on mammography, whereas 32 lesions (55.2%) displayed asymmetric density. The diagnostic accuracy of mammography was 69%. Five patients with five lesions underwent MRI, which revealed nonmass-like inhomogeneous progressive enhancement, isointensity and hypointensity in T2-weighted images, insignificant or slight hyperintensity in diffusion-weighted imaging, and no significant decrease in apparent diffusion coefficient value, yielding a diagnostic accuracy of 80%. Conclusion: The ultrasound characteristics of DM were marked by nonmass-type lesions with distinctive echogenic and structural features. Mammography demonstrated insignificant or nonspecific asymmetric densities without suspicious calcifications or structural distortions. Breast MRI indicated nonmassive lesions exhibiting benign features based on hemodynamic parameters and diffusion-weighted imaging. The combined application of multimodal imaging enhanced diagnostic accuracy, particularly when incorporated with patient history.

Indexed as

breast MRIdiabetic mastopathymammographymultimodal imagingultrasound

Identifiers

PMID42094984
PMCPMC13140795

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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.