ReviewCurrent urology reports2017
The Contemporary Role of Multiparametric Magnetic Resonance Imaging in Active Surveillance for Prostate Cancer.
Review in Current urology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- The evolving landscape: magnetic resonance imaging in active surveillance for prostate cancer management.Frontiers in urology · 2024Review
- Machine learning based on radiomics features combing B-mode transrectal ultrasound and contrast-enhanced ultrasound to improve peripheral zone prostate cancer detection.Abdominal radiology (New York) · 2024Article
- The Primacy of High B-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer.Diagnostics (Basel, Switzerland) · 2021Article
- Multiparametric magnetic resonance imaging and clinical variables: Which is the best combination to predict reclassification in active surveillance patients?Prostate international · 2020Article
- Contrast-enhanced ultrasound with dispersion analysis for the localization of prostate cancer: correlation with radical prostatectomy specimens.World journal of urology · 2020Article
- [Active surveillance of prostate cancer : An update].Der Urologe. Ausg. A · 2019Article
- Multiparametric magnetic resonance imaging: Overview of the technique, clinical applications in prostate biopsy and future directions.Turkish journal of urology · 2018Review
- Engaging the primary care community to encourage appropriate prostate cancer screening.Therapeutic advances in urology · 2018Article
- Super active surveillance for low-risk prostate cancer | Opinion: No.International braz j urol : official journal of the Brazilian Society of UrologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewGrowing research supports the use of multiparametric magnetic resonance imaging (mpMRI) for the evaluation of localized prostate cancer (PCa). We highlight contemporary evidence supporting its use in active surveillance (AS). RECENT
findingsThe emerging approach to localized PCa favors risk-adapted screening, image-guided biopsies, and selective therapeutic interventions. mpMRI is increasingly critical to achieve each of these aims. Early evidence suggests a value of mpMRI before initial biopsy to guide fusion targeting and to rule out non-organ confined disease as well as in the initiation and serial monitoring of men on AS. There remain concerns regarding understaging cancer with mpMRI and the standardization of expertise beyond the most experienced centers. mpMRI is emerging as a critical decision point for staging localized PCa and guiding AS strategies. While there is increasing enthusiasm, the optimal clinical scenario and sequencing remains to be defined.
Indexed as
Identifiers
28589398What OpenQuestion holds
Registered trials
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.