ArticleInsights into imaging2024
The value of apparent diffusion coefficient values in predicting Gleason grading of low to intermediate-risk prostate cancer.
Article in Insights into imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The evolving role of MRI in the detection of extrathyroidal extension of papillary thyroid carcinoma: a systematic review and meta-analysis.BMC cancer · 2024Pooled it
- Apparent diffusion coefficient-based single-sequence radiomics integrated with clinical variables and Prostate Imaging Reporting and Data System for predicting clinically significant prostate cancer.Translational andrology and urology · 2026Article
- Development and internal validation of a noninvasive predictive model based on iron and fat measurements for pathologic risk stratification in prostate cancer.Translational andrology and urology · 2026Article
- Location- and ADC-based stratification of transition zone PI-RADS 3 lesions to optimize biopsy indication.Abdominal radiology (New York) · 2026Article
- Multiparametric MRI findings, PI-RADS scores, and gleason scores in prostate cancer patients at Kumasi, Ghana: a cross-sectional analysis.BMC medical imaging · 2026Article
- Objective value of the apparent diffusion coefficient (ADC) map from ultrahigh b-value diffusion-weighted imaging (DWI) in 3T MRI as a non-invasive predictor for Gleason score in prostate cancer.Quantitative imaging in medicine and surgery · 2026Article
- Development and validation of a risk prediction model for prostate cancer integrating quantitative MRI and clinical data.Frontiers in oncology · 2026Article
- Effectiveness of Apparent Diffusion Coefficient Values in Predicting Pathologic Subtypes and Grade in Non-Small-Cell Lung Cancer.Diagnostics (Basel, Switzerland) · 2024Article
- Quantitative Histogram Analysis of 5.0T Multiparametric MRI for Discrimination Between Prostate Cancer and Benign Hyperplasia.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo investigate the diagnostic performance of the apparent diffusion coefficient (ADC) for low to intermediate-risk prostate cancer (PCa), as well as its correlation with the prognostic Gleason score (GS). MATERIALS AND
methodsRetrospective analysis of MRI images and relevant clinical data from patients with prostate disease. The differences in ADC between different GS groups were compared, and the efficacy of ADC in PCa diagnosis were analyzed. Furthermore, the diagnostic performance of the mean ADC (ADC
resultsThere were 1414 patients with 1631 lesions. In terms of GS, both ADC
conclusionsADC values demonstrate an inverse relationship with the invasiveness of PCa, indicating that higher invasiveness is associated with lower ADC values. Additionally, ADC values exhibit high diagnostic potential, sensitivity, and specificity for distinguishing between GS 3 + 4 and GS 4 + 3 lesions. Moreover, the diagnostic value of ADC CRITICAL RELEVANCE STATEMENT: ADC values are a valuable tool for distinguishing different levels of aggressiveness in PCa. They help in the preoperative assessment of the biological characteristics of PCa, allowing clinicians to develop personalized treatment strategies, effectively mitigating the risk of unnecessary interventions. KEY POINTS: The preoperative GS is crucial for planning the clinical treatment of PCa. The invasiveness of PCa is inversely correlated with ADC values. ADC values play a crucial role in the accurate preoperative evaluation of low to intermediate-risk PCa, thus aiding clinicians in developing tailored treatment plans.
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