ArticleWorld journal of urology2020
Effects of the addition of quantitative apparent diffusion coefficient data on the diagnostic performance of the PI-RADS v2 scoring system to detect clinically significant prostate cancer.
Article in World journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 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
- Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review.European urology oncology · 2020Pooled it
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- Article
- Diffusion levels for quantitative assessment of the apparent diffusion coefficient value in prostate MRI: a proof-of-concept bicentric study.European radiology · 2025Article
- Cross-Scanner Harmonization of AI/DL Accelerated Quantitative Bi-Parametric Prostate MRI.Sensors (Basel, Switzerland) · 2025Article
- Quantitative Prostate MRI, From theAJR. American journal of roentgenology · 2025Review
- Optimizing prostate cancer detection in transition zone: an analysis of apparent diffusion coefficient values in prostate magnetic resonance imaging evaluation with Prostate Imaging Reporting and Data System (PI-RADS) assessment.Translational andrology and urology · 2024Article
- Article
- Clinical value of minimum apparent diffusion coefficient for prediction of clinically significant prostate cancer in the transition zone.International journal of clinical oncology · 2023Article
- Characterization of high-grade prostate cancer at multiparametric MRI: assessment of PI-RADS version 2.1 and version 2 descriptors across 21 readers with varying experience (MULTI study).Insights into imaging · 2023Article
- Study of iron metabolism based on T2* mapping sequences in PI-RADS 3 prostate lesions.Frontiers in oncology · 2023Article
- Non-timely clinically applicable ADC ratio in prostate mpMRI: a comparison with fusion biopsy results.Abdominal radiology (New York) · 2022Article
- A novel screening strategy for clinically significant prostate cancer in elderly men over 75 years of age.Asian journal of andrologyArticle
- Diagnostic performance of apparent diffusion coefficients for prostate cancer in patients with PI-RADS 4-5 lesions: a retrospective analysis.Therapeutic advances in urologyArticle
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate the impact of the addition of quantitative apparent diffusion coefficient (ADC) data into the diagnostic performance of the Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) scoring system to predict clinically significant prostate cancer (CSPCa).
methodsWe retrospectively included 91 consecutive patients who underwent prostate multiparametric magnetic resonance imaging (mp-MRI) and histopathological evaluation. Mp-MRI images were reported by the PI-RADSv2 scoring system and patients were divided into groups considering the likelihood of CSPCa. ADC value and ratio were obtained. Findings were correlated with histopathological data.
resultsCSPCa was found in 41.8% of cases (n = 38). PI-RADSv2 score 3-5 yielded a sensitivity of 97.4% (95% confidence intervals 86.5-99.5), a specificity of 50.9% (37.9-63.9), and AUC of 0.74 (0.67-0.81) to predict CSPCa. ADC value < 750 µm
conclusionQuantitative ADC data might not be beneficial to be used routinely in mp-MR imaging as criteria to detect clinically significant lesions due to the reduced sensitivity. Instead, when prostate lesions present a PI-RADSv2 score ≥ 3, additional quantitative ADC criteria can be helpful to increase the PI-RADS score specificity.
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