ArticleAnnals of medicine2025
Correlation between ultrasonography and elastography parameters and molecular subtypes of breast cancer in young women.
Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Magnetic Resonance Elastography in Breast Cancer: A Prospective Study on Optimal Imaging Frequency Selection and Differentiation of Molecular Subtypes.Journal of magnetic resonance imaging : JMRI · 2026Article
- Prognostic value of ultrasound Breast Imaging Reporting and Data System for disease-free survival in early-stage breast cancer: a retrospective study (2011-2018).Quantitative imaging in medicine and surgery · 2026Article
- Personalized survival prediction in young Asian American breast cancer.Gland surgery · 2026Article
- Breast Tumor Blood Flow, Disease Progression, and Treatment Response: The Role of Exercise.Sports medicine (Auckland, N.Z.) · 2026Review
- Advances in ultrasound for preoperative molecular subtyping of malignant breast tumors.Frontiers in oncology · 2026Review
- Construction of an ultrasound feature-based diagnostic model for predicting triple-negative breast cancer using 108 machine learning algorithm combinations.Journal of clinical imaging science · 2026Article
- A retrospective cohort study of a PIRFAS- and ultrasound-guided program for pressure ulcers in prone orthopedic surgery.Frontiers in medicine · 2025Article
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Authors and funding
8 authors.
Funding
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Abstract
objectiveTo explore the differences of conventional ultrasound characteristics, elastic imaging parameters and clinicopathological characteristics of distinct molecular subtypes of breast cancer in young women, and to identify imaging parameters that exhibited significant associations with each molecular subtype.
methodsWe performed a retrospective analysis encompassing 310 young women with breast cancer. Observations were made regarding the ultrasonography and elastography characteristics of the identified breast lesions. Subsequently, based on immunohistochemistry results patients were classified into five distinct molecular subtypes: luminal A, luminal B (HER2-), luminal B (HER2+), HER2+, and triple-negative breast cancer (TNBC). Clinical, pathological, and ultrasound imaging features were compared among these subtypes using binary logistic regression analysis.
resultsStatistically significant differences were observed in various parameters across the five molecular subtypes (
conclusionSpecific molecular subtypes of breast cancer have unique ultrasonic and elastic imaging characteristics.
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