ArticleBMC medical imaging2023
Multimodal ultrasound features of breast cancers: correlation with molecular subtypes.
Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 28 citations in OpenAlex.
- Diagnostic performance of multimodal ultrasonography for molecular subtyping of breast cancer: a retrospective study.Gland surgery · 2026Article
- AI-Driven Breast Cancer Diagnosis: A Systematic Review of Imaging Modalities, Deep Learning, and Explainability.Cancers · 2026Review
- ESE and Transfer Learning for Breast Tumor Classification.Journal of imaging informatics in medicine · 2026Article
- The value of multimodal ultrasound imaging in differentiating HER2-positive breast cancer.Frontiers in oncology · 2026Article
- Clinical Applications of Advanced Ultrasound Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- OneTouch Automated Photoacoustic and Ultrasound Imaging of Breast in Standing Pose.IEEE transactions on medical imaging · 2025Article
- Relation knowledge distillation 3D-ResNet-based deep learning for breast cancer molecular subtypes prediction on ultrasound videos: a multicenter study.British journal of cancer · 2025Article
- Classification of breast cancer molecular subtypes based on contrast-enhanced ultrasound and superb microvascular imaging using machine learning approach.Gland surgery · 2025Article
- Diagnostic value of ultrasound radiomic features in differentiating benign and malignant breast lesions.Journal of ultrasound · 2025Article
- Association between real-time shear wave elastography findings and HER-2 expression in breast cancer.Translational cancer research · 2025Article
- Improving AI models for rare thyroid cancer subtype by text guided diffusion models.Nature communications · 2025Article
- Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images.Sensors (Basel, Switzerland) · 2025Article
- Ultrasonography: an aid in molecular subtyping of breast carcinoma.Journal of ultrasonography · 2025Article
- Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes.Frontiers in oncology · 2025Article
- Novel Molecular Classification of Breast Cancer with PET Imaging.Medicina (Kaunas, Lithuania) · 2024Review
- Correlations of Imaging and Therapy in Breast Cancer Based on Molecular Patterns: An Important Issue in the Diagnosis of Breast Cancer.International journal of molecular sciences · 2024Review
- Strain Elastography Fat-to-Lesion Index Is Associated with Mammography BI-RADS Grading, Biopsy, and Molecular Phenotype in Breast Cancer.Biosensors · 2024Article
- Case report: An ultrasound-based approach as an easy tool to evaluate hormone receptor-positive HER-2-negative breast cancer in advanced/metastatic settings: preliminary data of the Plus-ENDO study.Frontiers in oncology · 2024Article
- Effect of caspase-1 (Translational cancer research · 2023Article
- Application of Multimodal Ultrasound Combined With BI-RADS in Classification and Diagnosis of Non-Mass Breast Lesions.Journal of clinical ultrasound : JCUArticle
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo investigate whether multimodal intratumour and peritumour ultrasound features correlate with specific breast cancer molecular subtypes.
methodsFrom March to November 2021, a total of 85 patients with histologically proven breast cancer underwent B-mode, real-time elastography (RTE), colour Doppler flow imaging (CDFI) and contrast-enhanced ultrasound (CEUS). The time intensity curve (TIC) of CEUS was obtained, and the peak and time to peak (TTP) were analysed. Chi-square and binary logistic regression were used to analyse the connection between multimodal ultrasound imaging features and breast cancer molecular subtype.
resultsAmong 85 breast cancers, the subtypes were as follows: luminal A (36 cases, 42.4%), luminal B (20 cases, 23.5%), human epidermal growth factor receptor-2 positive (HER2+) (16 cases, 18.8%), and triple negative breast cancer (TNBC) (13 cases, 15.3%). Binary logistic regression models showed that RTE (P < 0.001) and CDFI (P = 0.036) were associated with the luminal A cancer subtype (C-index: 0.741), RTE (P = 0.016) and the peak ratio between intratumour and corpus mamma (P = 0.036) were related to the luminal B cancer subtype (C-index: 0.788). The peak ratio between peritumour and intratumour (P = 0.039) was related to the HER2 + cancer subtype (C-index: 0.859), and CDFI (P = 0.002) was associated with the TNBC subtype (C-index: 0.847).
conclusionsMultimodal ultrasound features could be powerful predictors of specific breast cancer molecular subtypes. The intra- and peritumour CEUS features play assignable roles in separating luminal B and HER2 + breast cancer subtypes.
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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.