ArticlePloS one2016
Preoperative Multiparametric Magnetic Resonance Imaging Predicts Biochemical Recurrence in Prostate Cancer after Radical Prostatectomy.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Predicting Biochemical Recurrence of Prostate Cancer Post-Prostatectomy Using Artificial Intelligence: A Systematic Review.Cancers · 2024Review
- Comparison of MRI-Based Staging and Pathologic Staging for Predicting Biochemical Recurrence of Prostate Cancer After Radical Prostatectomy.AJR. American journal of roentgenology · 2023Article
- Biopsy-free AI-aided precision MRI assessment in prediction of prostate cancer biochemical recurrence.British journal of cancer · 2023Article
- Combining and analyzing novel multi-parametric magnetic resonance imaging metrics for predicting Gleason score.Quantitative imaging in medicine and surgery · 2022Article
- Development and testing quantitative metrics from multi-parametric magnetic resonance imaging that predict Gleason score for prostate tumors.Quantitative imaging in medicine and surgery · 2022Article
- Prostate tumor eccentricity predicts Gleason score better than prostate tumor volume.Quantitative imaging in medicine and surgery · 2022Article
- Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings.Frontiers in oncology · 2022Article
- Assessing and testing anomaly detection for finding prostate cancer in spatially registered multi-parametric MRI.Frontiers in oncology · 2022Article
- Role of MRI for the detection of prostate cancer.World journal of urology · 2021Review
- MRI Characteristics Accurately Predict Biochemical Recurrence after Radical Prostatectomy.Journal of clinical medicine · 2020Article
- Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings.European radiology · 2019Article
- Can We Improve the Preoperative Prediction of Prostate Cancer Recurrence With Multiparametric MRI?Clinical genitourinary cancer · 2019Article
- Index tumor volume on MRI as a predictor of clinical and pathologic outcomes following radical prostatectomy.International urology and nephrology · 2019Article
- Impact of multiparametric MRI and MRI-targeted biopsy on pre-therapeutic risk assessment in prostate cancer patients candidate for radical prostatectomy.World journal of urology · 2019Review
- Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings.Journal of magnetic resonance imaging : JMRI · 2018Article
- Contemporary approach to predict early biochemical recurrence after radical prostatectomy: update of the Walz nomogram.Prostate cancer and prostatic diseases · 2018Article
- Optimising preoperative risk stratification tools for prostate cancer using mpMRI.European radiology · 2018Article
- [Value of PI-RADS v2 scores combined with prostate specific antigen in diagnosis of peripheral zone prostate cancer: a logistic regression analysis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2017Article
- Utilization of biopsy-based genomic classifier to predict distant metastasis after definitive radiation and short-course ADT for intermediate and high-risk prostate cancer.Prostate cancer and prostatic diseases · 2017Article
- Focal Therapy for Prostate Cancer: Pending Questions.Current urology reports · 2016Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
objectivesTo evaluate the utility of preoperative multiparametric magnetic resonance imaging (MP-MRI) in predicting biochemical recurrence (BCR) following radical prostatectomy (RP). MATERIALS/
methodsFrom March 2007 to January 2015, 421 consecutive patients with prostate cancer (PCa) underwent preoperative MP-MRI and RP. BCR-free survival rates were estimated using the Kaplan-Meier method. Cox proportional hazards models were used to identify clinical and imaging variables predictive of BCR. Logistic regression was performed to generate a nomogram to predict three-year BCR probability.
resultsOf the total cohort, 370 patients met inclusion criteria with 39 (10.5%) patients experiencing BCR. On multivariate analysis, preoperative prostate-specific antigen (PSA) (p = 0.01), biopsy Gleason score (p = 0.0008), MP-MRI suspicion score (p = 0.03), and extracapsular extension on MP-MRI (p = 0.03) were significantly associated with time to BCR. A nomogram integrating these factors to predict BCR at three years after RP demonstrated a c-index of 0.84, outperforming the predictive value of Gleason score and PSA alone (c-index 0.74, p = 0.02).
conclusionThe addition of MP-MRI to standard clinical factors significantly improves prediction of BCR in a post-prostatectomy PCa cohort. This could serve as a valuable tool to support clinical decision-making in patients with moderate and high-risk cancers.
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