ArticleGland surgery2020
Preliminary study on identification of estrogen receptor-positive breast cancer subtypes based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) texture analysis.
Article in Gland surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Quantitative intravoxel incoherent motion diffusion-weighted imaging histogram profiling identifies diffusion biomarkers for active thyroid-associated ophthalmopathy.BMC medical imaging · 2026Article
- Data-driven image analysis to determine antibody-induced dissociation of cell-cell adhesion and antibody pathogenicity in pemphigus.PNAS nexus · 2025Article
- The impact of radiogenomics on breast cancer.American journal of cancer research · 2025Review
- Histogram of Apparent Diffusion Coefficient to Evaluate the Activity of Thyroid-Associated Ophthalmopathy.Immunity, inflammation and disease · 2025Article
- The use of radiomics in magnetic resonance imaging for the pre-treatment characterisation of breast cancers: A scoping review.Journal of medical radiation sciences · 2023Article
- Identification of triple-negative breast cancer and androgen receptor expression based on histogram and texture analysis of dynamic contrast-enhanced MRI.BMC medical imaging · 2023Article
- Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.BMC cancer · 2022Article
- Predictive Value of Preoperative Dynamic Contrast-Enhanced MRI Imaging Features in Breast Cancer Patients with Postoperative Recurrence Time.Emergency medicine international · 2022Article
- Differentiating Breast Tumors from Background Parenchymal Enhancement at Contrast-Enhanced Mammography: The Role of Radiomics-A Pilot Reader Study.Diagnostics (Basel, Switzerland) · 2021Article
- Current State of Breast Cancer Diagnosis, Treatment, and Theranostics.Pharmaceutics · 2021Review
- Diagnostic Performance of Vascular Permeability and Texture Parameters for Evaluating the Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
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6 authors.
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Abstract
backgroundCurrently, breast cancer is divided into Luminal A, Luminal B, HER-2 overexpression (HER-2) and basal cell at genetic level. However, the differential diagnosis of estrogen receptor (ER)-positive breast cancer subtypes is rare. Therefore, we aimed to investigate the feasibility of identifying the ER-positive breast cancer subtypes based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) texture analysis.
methodsA retrospective analysis was performed for clinical data of 51 patients with ER-positive breast invasive ductal carcinoma confirmed by surgery and pathology from January 20 to October 2018. FireVoxel texture analysis software was used to delineate the tumor boundary layer by layer. The differences in the above characteristics between Luminal A and Luminal B breast cancer were compared, and the diagnostic efficacy of statistically significant texture parameters for ER-positive breast cancer subtypes was analyzed.
resultsThere were no significant differences in mean, standard deviation (SD), skewness and tumor size between Luminal A and Luminal B groups (P>0.05). The kurtosis, inhomogeneity and entropy could effectively distinguish between the two groups with statistically significant difference (P=0.001, P=0.000, and P=0.000). The area under the receiver operating characteristic (ROC) curve (AUC) of kurtosis, inhomogeneity and entropy diagnosed with malignant mass were 0.832, 0.859 and 0.891, respectively (P<0.01). In addition, the entropy was the best among the three indicators. When the entropy was ≤4.22, the sensitivity of the diagnosis Luminal B was 90.62% and the specificity was 78.95%.
conclusionsThe texture analysis features based on DCE-MRI can help to identify ER-positive breast cancer subtypes. Entropy can be the best single texture indicator.
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