ArticleThe breast journal2023
Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer.
Article in The breast journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Moran's index habitat and peritumoral radiomics based on digital breast tomosynthesis for predicting Ki-67 status in breast cancer.Quantitative imaging in medicine and surgery · 2026Article
- Article
- Multi-regional radiomics of obstructive sleep apnea based on synthetic MRI.Respiratory research · 2026Article
- A novel biomarker for identifying HER2-low breast cancer using synthetic MRI.Scientific reports · 2025Article
- Histogram analysis of relaxometry from synthetic MRI for differentiation of breast BI-RADS 4 non-mass enhancement lesions.BMC medical imaging · 2025Article
- Technical aspects and clinical applications of synthetic MRI: a scoping review.Diagnosis (Berlin, Germany) · 2025Article
- Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI.Frontiers in oncology · 2025Article
- Using Synthetic MRI and Radiomics to Predict Treatment Response in Triple-Negative Breast Cancer.Radiology. Imaging cancer · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To investigate the association between quantitative parameters generated using synthetic magnetic resonance imaging (SyMRI) and diffusion-weighted imaging (DWI) and Ki-67 expression level in patients with invasive ductal breast cancer (IDC). Method: We retrospectively reviewed the records of patients with IDC who underwent SyMRI and DWI before treatment. Precontrast and postcontrast relaxation times (T1, longitudinal; T2, transverse), proton density (PD) parameters, and apparent diffusion coefficient (ADC) values were measured in breast lesions. Univariate and multivariate regression analyses were performed to screen for statistically significant variables to differentiate the high (≥30%) and low (<30%) Ki-67 expression groups. Their performance was evaluated by receiver operating characteristic (ROC) curve analysis. Results: We analyzed 97 patients. Multivariate regression analysis revealed that the high Ki-67 expression group ( Conclusions: Pre-T1 could be used to predict the pretreatment Ki-67 expression level in invasive ductal breast cancer.
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