ArticleJapanese journal of radiology2020
Correlation between imaging features and molecular subtypes of breast cancer in young women (≤30 years old).
Article in Japanese journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms.European radiology · 2022Trial
- Personalized survival prediction in young Asian American breast cancer.Gland surgery · 2026Article
- Digital breast tomosynthesis-based radiomics for prediction of prognosis in breast cancer: a multicenter study.Gland surgery · 2026Article
- Exploiting machine-learning models with DCE-MRI radiomics for breast cancer molecular subtyping.Frontiers in oncology · 2026Article
- A pilot study of multimodal MRI for the preoperative assessment of triple-negative breast cancer.Frontiers in oncology · 2026Article
- Correlations of ultrasound features and immunohistochemical indicators with axillary lymph node metastasis in invasive breast cancer.Quantitative imaging in medicine and surgery · 2026Article
- Correlation between ultrasonography and elastography parameters and molecular subtypes of breast cancer in young women.Annals of medicine · 2025Article
- Prognosis of Breast Cancer in Women in Their 20s: Clinical and Radiological Insights.Diagnostics (Basel, Switzerland) · 2025Article
- Radiological, Clinical, and Surgical Signs of Breast Cancer in Young Women at HLUHS KC.Medicina (Kaunas, Lithuania) · 2025Article
- [Integrated imaging and clinical features of glottic squamous cell carcinoma of the larynx: pathological association and prognosis assessment].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025Article
- Correlation between multimodality imaging features and molecular subtypes in breast cancer: a comparative study between young (≤30 years) and middle-aged (45-55 years) women.Quantitative imaging in medicine and surgery · 2025Article
- The association of magnetic resonance imaging features with five molecular subtypes of breast cancer.European journal of radiology open · 2024Article
- Breast cancer stage and molecular subtype distribution: real-world insights from a regional oncological center in Hungary.Discover oncology · 2024Article
- Investigation of breast cancer molecular subtype in a multi-ethnic population using MRI.PloS one · 2024Article
- The Accuracy of Breast Cancer Diagnostic Tools.Cureus · 2024Article
- Patterns of distant metastasis and survival outcomes inFrontiers in endocrinology · 2024Article
- Correlation of Shear-Wave Elastography and Apparent Diffusion Coefficient Values in Breast Cancer and Their Relationship with the Prognostic Factors.Diagnostics (Basel, Switzerland) · 2022Article
- Multiparametric MRI Features of Breast Cancer Molecular Subtypes.Medicina (Kaunas, Lithuania) · 2022Article
- Association Between Vascular Index MeasuredFrontiers in oncology · 2022Article
- Predicting the molecular subtypes of breast cancer using nomograms based on three-dimensional ultrasonography characteristics.Frontiers in oncology · 2022Article
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8 authors.
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Abstract
objectivesTo analyze the features of digital mammography (DM) plus digital breast tomosynthesis (DBT), ultrasonography (US) and magnetic resonance imaging (MRI) of breast cancer in young women (≤30 years old) and the correlation with molecular subtypes. MATERIALS AND
methodsWe performed a retrospective study of imaging features of consecutive young women aged ≤30 years who were treated and surgically confirmed with breast cancer between January 2013 and December 2019 in our institution. All patients were Chinese women. DM + DBT and US were available for 170 lesions, MRI for 41 lesions. The imaging features were analysed by univariate and multivariate logistic regression analyses to find the predictive factors of the molecular subtypes.
resultsThe predictive factors of the luminal B(HER2-) subtype (n = 51) were the mass with microcalcifications, irregular shape, spiculated margins, and shadowing posterior features (all P < 0.01). The predictive factors of the luminal B(HER2+) subtype (n = 26) were the spiculated margins (DBT + DM), angular margins (US), shadowing posterior features, and high vascularity (all P < 0.05). The predictive factors of the luminal A subtype (n = 37) were the mass without microcalcifications, spiculated margins, shadowing posterior features, and low vascularity (all P < 0.05). The predictive factors of the triple-negative subtype (n = 31) were the mass without microcalcifications, oval/round shape, circumscribed margins, enhancement of posterior features, and rim enhancement (MRI) (all P < 0.005). The predictive factors of the human-epidermal-growth-factor-receptor-2-enriched subtype (n = 26) were the only microcalcifications, microlobulated margins, and combined posterior feature (all P < 0.05).
conclusionCompared with the general population of breast cancer, this young female population presents a different molecular phenotype distribution. Some imaging features of breast cancer in young women ≤30 years old can be used to predict certain tumor molecular subtypes.
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