ArticleFrontiers in oncology2023
Correlation between ADC, ADC ratio, and Gleason Grade group in prostate cancer patients undergoing radical prostatectomy: Retrospective multicenter study with different MRI scanners.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: A systematic review and meta-analysis.European radiology · 2025Pooled it
- Multicentre evaluation of artificial intelligence risk classification for detection of clinically significant prostate cancer on biparametric MRI.European radiology · 2026Article
- Microstructure imaging of prostate cancer by diffusion MRI.Magma (New York, N.Y.) · 2026Review
- Multiparametric MRI findings, PI-RADS scores, and gleason scores in prostate cancer patients at Kumasi, Ghana: a cross-sectional analysis.BMC medical imaging · 2026Article
- Micro-ultrasound tissue echogenicity predicts prostate cancer grade.BJUI compass · 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
- Minimum ADC outperforms PSA and PSA density for predicting ISUP grade group in prostate cancer: a retrospective study of 192 patients undergoing radical prostatectomy.Frontiers in oncology · 2026Article
- Association of Prostate Multiparametric MRI Parameters with Gleason Score: A Fusion Biopsy-Based CorrelationCurrent medical imaging · 2026Article
- Comparative evaluation of ADC and ADC ratio in differentiating Gleason Score 7 in prostate cancer imaging.European journal of radiology open · 2025Article
- Diffusion levels for quantitative assessment of the apparent diffusion coefficient value in prostate MRI: a proof-of-concept bicentric study.European radiology · 2025Article
- Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times.Journal of applied clinical medical physics · 2024Article
- Role of Apparent Diffusion Coefficient Value and Apparent Diffusion Coefficient Ratio as Prognostic Factors for Prostate Cancer Aggressiveness.Diagnostics (Basel, Switzerland) · 2024Article
- Extra-prostatic extension grading system: correlation with MRI features and integration of capsular enhancement sign for "enhanced" detection of T3a lesions.The British journal of radiology · 2024Article
- Radiogenomics Analysis Linking Multiparametric MRI and Transcriptomics in Prostate Cancer.Cancers · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: MRI is an important tool in the prostate cancer work-up, with special emphasis on the ADC sequence. This study aimed to investigate the correlation between ADC and ADC ratio compared to tumor aggressiveness determined by a histopathological examination after radical prostatectomy. Methods: Ninety-eight patients with prostate cancer underwent MRI at five different hospitals prior to radical prostatectomy. Images were retrospectively analyzed individually by two radiologists. The ADC of the index lesion and reference tissues (contralateral normal prostatic, normal peripheral zone, and urine) was recorded. Absolute ADC and different ADC ratios were compared to tumor aggressivity according to the ISUP Gleason Grade Groups extracted from the pathology report using Spearman's rank correlation coefficient (ρ). ROC curves were used to evaluate the ability to discriminate between ISUP 1-2 and ISUP 3-5 and intra class correlation and Bland-Altman plots for interrater reliability. Results: All patients had prostate cancer classified as ISUP grade ≥ 2. No correlation was found between ADC and ISUP grade. We found no benefit of using the ADC ratio over absolute ADC. The AUC for all metrics was close to 0.5, and no threshold could be extracted for prediction of tumor aggressivity. The interrater reliability was substantial to almost perfect for all variables analyzed. Conclusions: ADC and ADC ratio did not correlate with tumor aggressiveness defined by ISUP grade in this multicenter MRI study. The result of this study is opposite to previous research in the field.
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