ArticleRadiology research and practice2021
Predicting Molecular Subtypes of Breast Cancer with Mammography and Ultrasound Findings: Introduction of Sono-Mammometry Score.
Article in Radiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07354490 (Imaging-Pathologic Correlation of Breast Cancer), which is not on this map. Cited by 12 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Imaging-Pathologic Correlation of Breast Cancer: Mammographic and Sonographic Features in Relation to Molecular Classification
Who cites it
12 citing papers in PubMed.
- Advances in ultrasound for preoperative molecular subtyping of malignant breast tumors.Frontiers in oncology · 2026Review
- Ultrasound evaluation of subcentimeter suspicious breast lesions: Correlation with histopathological findings and hormone receptor status.Pakistan journal of medical sciences · 2025Article
- Macroscopic morphology of breast carcinoma: associations with biological subtypes and pathological features.Breast cancer (Tokyo, Japan) · 2025Article
- Beyond traditional biopsies: the emerging role of ctDNA and MRD on breast cancer diagnosis and treatment.Discover oncology · 2025Review
- Article
- Predicting Human Epidermal Growth Factor Receptor 2 Expression in Breast Cancer Based on Radiomics of MRI Habitat and US.Breast cancer (Dove Medical Press) · 2025Article
- 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
- Classifying Breast Cancer Metastasis Based on Imaging of Tumor Primary and Tumor Biology.Diagnostics (Basel, Switzerland) · 2023Review
- Association between ultrasound BI-RADS signs and molecular typing of invasive breast cancer.Frontiers in oncology · 2023Article
- PD‑L1 mediates triple‑negative breast cancer evolution via the regulation of TAM/M2 polarization.International journal of oncology · 2022Article
- Survival outcome assessment for triple-negative breast cancer: a nomogram analysis based on integrated clinicopathological, sonographic, and mammographic characteristics.European radiology · 2022Article
- Multi-Features-Based Automated Breast Tumor Diagnosis Using Ultrasound Image and Support Vector Machine.Computational intelligence and neuroscience · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We studied the correlation of sonographic and digital mammographic features with molecular classification of breast cancer. Imaging features from 313 patients with preliminary ultrasound and digital mammogram between November 2017 and May 2020 were compared with histopathology and immunohistochemical analysis for the prediction of molecular classification of breast cancer. We also devised a score called "sono-mammometry" score consisting of few simple imaging features which can easily be performed in outpatient settings. We studied that non-triple-negative breast cancers are predominantly hypoechoic and strongly correlate with the presence of irregular spiculated margins along with peripheral echogenic halo, posterior shadowing, and microcalcifications, while there is considerable variation in imaging features of TNBC as some of its imaging features overlap with those of typical benign tumors. Although imaging characteristics are helpful in the prediction of molecular classification, the prognostication value of these imaging features is still weak. There is considerable variation in imaging features which warrants vigilance towards improved diagnostic performance. To help better understand these features, our sono-mammometry score can serve as straightforward test which is assumed to be functional and productive in resource-limited settings.
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Registered trials
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