ReviewCurrent urology reports2019
The Use of Multiparametric Magnetic Resonance Imaging (mpMRI) in the Detection, Evaluation, and Surveillance of Clinically Significant Prostate Cancer (csPCa).
Review in Current urology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed.
- Artificial intelligence-based prostate cancer risk stratification via large-scale ultrasound images paired with histopathology.Quantitative imaging in medicine and surgery · 2026Article
- Feasibility of multifrequency MR elastography of the seminal vesicles in healthy men, benign prostatic hyperplasia, and prostate cancer.European radiology experimental · 2026Article
- Avoiding unnecessary biopsy in suspicious prostate cancer using PRIMARY score ≤3 and PSAD ≤0.2 ng/mL/cm3: a real-world, dual-center study from China.International journal of surgery (London, England) · 2026Article
- The combination of prostate health index and multiparametric magnetic resonance imaging in prostate cancer diagnosis: efficacy analysis in different PSA ranges and its clinical decision-guiding value.World journal of urology · 2025Article
- Post-Treatment Imaging in Focal Therapy: Understanding TARGET and PI-FAB Scoring Systems.Diagnostics (Basel, Switzerland) · 2025Review
- Enhancing bone metastasis prediction in prostate cancer using quantitative mpMRI features, ISUP grade and PSA density: a machine learning approach.Abdominal radiology (New York) · 2025Article
- Personalized optimization of systematic prostate biopsy core number based on mpMRI radiomics features: a large-sample retrospective analysis.BMC cancer · 2025Article
- Assessment of Prostate MR Image and Predictive Value for Benign Prostate Disease among Different DWI Sequences.Current medical imaging · 2025Article
- Interpretable machine learning models based on multi-dimensional fusion data for predicting positive surgical margins in robot-assisted radical prostatectomy: a retrospective study.Frontiers in oncology · 2025Article
- Prospective evaluation of mpMRI-derived nomograms for detecting prostate cancer in PI-RADS v2.1 upgraded and non-upgraded lesions.Frontiers in oncology · 2025Article
- A novel biopsy scheme for prostate cancer: targeted and regional systematic biopsy.BMC urology · 2024Article
- The evolving landscape: magnetic resonance imaging in active surveillance for prostate cancer management.Frontiers in urology · 2024Review
- Nomograms for predicting clinically significant prostate cancer in men with PI-RADS-3 biparametric magnetic resonance imaging.American journal of cancer research · 2024Article
- Article
- Intravoxel incoherent motion predicts positive surgical margins and Gleason score upgrading after radical prostatectomy for prostate cancer.La Radiologia medica · 2023Article
- [Research progress on prostate-specific membrane antigen ligand positron emission tomography imaging of prostate cancer].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Article
- Multiparametric MRI and Machine Learning Based Radiomic Models for Preoperative Prediction of Multiple Biological Characteristics in Prostate Cancer.Frontiers in oncology · 2022Article
- Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data.Cancers · 2021Article
- MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewWith the long-standing controversy surrounding the use of prostate-specific antigen (PSA) for the detection, evaluation, and surveillance of prostate cancer, there is a need for a minimally invasive technique to identify and risk-stratify these patients. Additionally, in an effort to reduce the number of unnecessary biopsies and identify clinically significant prostate cancer (csPCa), there has been a shift in practice towards the use of multiparametric magnetic resonance imaging (mpMRI) in conjunction with decision-making regarding prostate cancer diagnosis and management. In the current review, we summarize the data regarding the use of mpMRI in the detection, evaluation, and surveillance of csPCa. RECENT
findingsRecent prospective clinical trials have determined that a pre-biopsy mpMRI may rule out insignificant prostate cancers, thereby reducing the number of patients who require a biopsy. The anatomic information gathered from these pre-biopsy mpMRI performed during MRI fusion biopsy in csPCa increases the accuracy of pathologic staging in terms of Gleason scores. In regard to active surveillance, prospective trials suggest little to no clinical utility for mpMRI and fusion biopsy in the surveillance of prostate cancer despite conflicting findings from retrospective studies. Recent trials suggest that mpMRI can play an important role in the detection and evaluation of csPCa. The ideal role for mpMRI in active surveillance remains limited.
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