What question did this study set out to answer?

The study aims to assess multimodal imaging technology for diagnosing diabetic mastopathy (DM).

May 7, 2026Open Access

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

Puntos clave

The study aims to assess multimodal imaging technology for diagnosing diabetic mastopathy (DM).
Retrospective analysis of ultrasound, mammography, and MRI findings in 62 confirmed DM cases from October 2014 to October 2024.
Ultrasound classified lesions into four types based on echogenic features.
Diagnostic accuracy assessed for ultrasound, mammography, and MRI.
Ultrasound identified 67 lesions with an overall diagnostic accuracy of 58.2%.
Mammography detected 32 asymmetrically dense lesions (55.2%) with 69% diagnostic accuracy.
MRI showed benign features in nonmassive lesions with 80% diagnostic accuracy.

Resumen

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.

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