Evidence map›Paper›PMID 42299281›Full record

ArticleGland surgery2026

Diagnostic performance of multimodal ultrasonography for molecular subtyping of breast cancer: a retrospective study.

Xiaofeng Qian, Xiaoyuan Chen, Mengyue Shao, Shuangyang Zhao, Jing Zhao, Hui Jia

Abstract read
In one paragraph

Article in Gland surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaofeng QianDepartment of Ultrasound Medicine, Nanjing Lishui People's Hospital, Nanjing, China.
Xiaoyuan ChenDepartment of Ultrasound Medicine, Nanjing Lishui People's Hospital, Nanjing, China.
Mengyue ShaoDepartment of Ultrasound Medicine, Nanjing Lishui People's Hospital, Nanjing, China.
Shuangyang ZhaoDepartment of Ultrasound Medicine, Nanjing Lishui People's Hospital, Nanjing, China.
Jing ZhaoDepartment of Ultrasound Medicine, Nanjing Lishui People's Hospital, Nanjing, China.
Hui JiaDepartment of Ultrasound Medicine, Nanjing Lishui People's Hospital, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer molecular subtypes differ substantially in treatment selection, therapeutic response, and prognosis, making accurate subtype identification essential for individualized management. Current molecular subtyping mainly relies on immunohistochemical and molecular pathological analyses of biopsy or surgical specimens, which are invasive and may be affected by sampling bias, intratumoral heterogeneity, and testing turnaround time. This study aimed to evaluate the diagnostic performance of multimodal ultrasonography for noninvasive molecular subtyping of breast cancer. Methods: A total of 155 patients diagnosed with breast cancer were retrospectively enrolled. According to molecular classification, patients were categorized into the human epidermal growth factor receptor 2 (HER2)-overexpression subtype (n=32), triple-negative subtype (n=31), luminal A subtype (n=26), and luminal B subtype (n=66). Differences in multimodal ultrasound features among the various molecular subtypes were compared, and the predictive value of multimodal ultrasound parameters for molecular classification was analyzed. Results: Higher maximum elastic modulus (E Conclusions: The molecular subtypes of breast cancer exhibited distinct multimodal ultrasonographic characteristics. Multimodal ultrasonography showed potential value for noninvasive prediction of breast cancer molecular subtypes and may provide auxiliary information for individualized therapeutic decision-making.

Indexed as

breast cancerdiagnosismolecular subtypeMultimodal ultrasonography

Identifiers

PMID42299281
PMCPMC13264740

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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.