ArticleJournal of personalized medicine2023
Quantitative ADC: An Additional Tool in the Evaluation of Prostate Cancer?
Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 3 citations in OpenAlex.
- Recent Advances in Multimodal Assessment Scoring Systems for Prostate Cancer: An Integrated Pathological and Imaging Perspective.Diagnostics (Basel, Switzerland) · 2026Review
- Location- and ADC-based stratification of transition zone PI-RADS 3 lesions to optimize biopsy indication.Abdominal radiology (New York) · 2026Article
- PI-RADS v2.1 for prostate MRI: current applications, ongoing debates, and synergies with advanced technologies-a narrative review.Translational andrology and urology · 2026Review
- 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
- Association of Prostate Multiparametric MRI Parameters with Gleason Score: A Fusion Biopsy-Based CorrelationCurrent medical imaging · 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
- Quantitative magnetic resonance imaging in prostate cancer: A review of current technology.World journal of radiology · 2024Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is one of the most common tumors among the male population. Magnetic resonance imaging (MRI), standardized by the PI-RADS version 2.1 scoring system, has a fundamental role in detecting prostate cancer and evaluating its aggressiveness. Diffusion-weighted imaging sequences and apparent diffusion coefficient values, in particular, are considered fundamental for the detection and characterization of lesions. In 2016 the International Society of Urological Pathology introduced a new anatomopathological 5-grade scoring system for prostate cancer. The aim of this study is to evaluate the correlation between quantitative apparent diffusion coefficient values (ADC) derived from diffusion-weighted imaging (DWI) sequences and the International Society of Urological Pathology (ISUP) and PI-RADS groups. Our retrospective study included 143 patients with 154 suspicious lesions, observed on prostate magnetic resonance imaging and compared with the histological results of the biopsy. We observed that ADC values can aid in discriminating between not clinically significant (ISUP 1) and clinically significant (ISUP 2-5) prostate cancers. In fact, ADC values were lower in ISUP 5 lesions than in negative lesions. We also found a correlation between ADC values and PI-RADS groups; we noted lower ADC values in the PI-RADS 5 and PI-RADS 4 groups than in the PI-RADS 3 group. In conclusion, quantitative apparent diffusion coefficient values can be useful to assess the aggressiveness of prostate cancer.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.