ArticleBreast cancer research : BCR2018
Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis.
Article in Breast cancer research : BCR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Diffusion-Weighted MRI for the Assessment of Molecular Prognostic Biomarkers in Breast Cancer.Korean journal of radiology · 2024Pooled it
- Pretreatment apparent diffusion coefficient does not predict therapy response to neoadjuvant chemotherapy in breast cancer.Breast (Edinburgh, Scotland) · 2020Pooled it
- Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.BMC cancer · 2019Pooled it
- Distinguishing Ki67 stratification expression in ER-positive/HER2-negative breast cancers: comparison of advanced MRI diffusion models.BMC medical imaging · 2026Article
- ADC Histogram Features of Breast Cancer Brain Metastases as Candidate Imaging Biomarkers of Primary Tumor ER, PR, Ki-67, and Luminal Status.Diagnostics (Basel, Switzerland) · 2026Article
- Hybrid [Bioengineering (Basel, Switzerland) · 2026Article
- Deep learning model to predict Ki-67 expression of breast cancer using digital breast tomosynthesis.Breast cancer (Tokyo, Japan) · 2026Article
- Associations Between Apparent Diffusion Coefficient Values and Histopathologic Prognostic Factors in Breast Cancer: A Retrospective Study.International journal of breast cancer · 2026Article
- Differentiation of breast cancer subtypes and correlation with biological status using functional magnetic resonance imaging: comparison with amide proton transfer-weighted imaging and diffusion-weighted imaging.Quantitative imaging in medicine and surgery · 2025Article
- Breast Diffusion-weighted MR Imaging: Current Applications, Insights from Screening, and Future Directions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Review
- Interpretable model based on MRI radiomics to predict the expression of Ki-67 in breast cancer.Scientific reports · 2025Article
- Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions.BMC medical imaging · 2025Article
- Article
- Magnetic resonance imaging characteristics and survival outcomes of metaplastic breast carcinoma.PloS one · 2025Article
- A multifunctional MRI model based on IVIM and DKI predicts HIF-1α, Ki-67, and VEGF status in breast carcinoma.Frontiers in oncology · 2025Article
- Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy.BMC cancer · 2024Article
- Non-contrast Breast MR Imaging.Radiologic clinics of North America · 2024Review
- Calcium-Sensing Receptor Expression in Breast Cancer.International journal of molecular sciences · 2023Article
- Prediction of prognostic factors in breast cancer: A noninvasive method utilizing histogram parameters derived from Adc maps.Heliyon · 2023Article
- Application of advanced diffusion models from diffusion weighted imaging in a large cohort study of breast lesions.BMC medical imaging · 2023Article
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9 authors.
Funding
Abstract
backgroundNumerous studies have analyzed associations between apparent diffusion coefficient (ADC) and histopathological features such as Ki-67 proliferation index in breast cancer (BC), with mixed results. The purpose of this study was to perform a multicenter analysis to determine relationships between ADC and expression of Ki-67 and tumor grade in BC.
methodsFor this study, data from six centers were acquired. The sample comprises 870 patients (all female; mean age, 52.6 ± 10.8 years). In every case, breast magnetic resonance imaging with diffusion-weighted imaging was performed. The comparison of ADC values in groups was performed by Mann-Whitney U test where the p values are adjusted for multiple testing (Bonferroni correction). The association between ADC and Ki-67 values was calculated by Spearman's rank correlation coefficient. Sensitivity, specificity, negative and positive predictive values, accuracy, and AUC were calculated for the diagnostic procedures. ADC thresholds were chosen to maximize the Youden index.
resultsOverall, data of 870 patients were acquired for this study. The mean ADC value of the tumors was 0.98 ± 0.22 × 10
conclusionsADC cannot be used as a surrogate marker for proliferation activity and/or for tumor grade in breast cancer.
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