Evidence map›Paper›PMID 38965093›Full record

ReviewEuropean radiology2024

Is MRI ready to replace biopsy during active surveillance?

Adriano B Dias, Sungmin Woo, Riccardo Leni, Pawel Rajwa, Veeru Kasivisvanathan, Sangeet Ghai, Masoom Haider, Giorgio Gandaglia, Giorgio Brembilla

Abstract readReview
PubMed Publisher
In one paragraph

Review in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Adriano B Dias *University Medical Imaging Toronto; Joint Department of Medical Imaging; University Health Network-Sinai Health System-Women's College Hospital, University of Toronto, Toronto, ON, Canada.
Sungmin Woo *Department of Radiology, NYU Langone Health, New York, NY, USA.
Riccardo LeniDivision of Experimental Oncology, Department of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Pawel RajwaDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Veeru KasivisvanathanDivision of Surgery & Interventional Science, University College London, London, UK; Department of Urology, University College London Hospital NHS Foundation Trust, London, UK.
Sangeet GhaiUniversity Medical Imaging Toronto; Joint Department of Medical Imaging; University Health Network-Sinai Health System-Women's College Hospital, University of Toronto, Toronto, ON, Canada.
Masoom HaiderUniversity Medical Imaging Toronto; Joint Department of Medical Imaging; University Health Network-Sinai Health System-Women's College Hospital, University of Toronto, Toronto, ON, Canada.
Giorgio GandagliaDivision of Experimental Oncology, Department of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giorgio BrembillaVita-Salute San Raffaele University, Milan, Italy. brembilla.giorgio@hsr.it.ORCID http://orcid.org/0000-0002-9690-8624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active surveillance (AS) is a conservative management option recommended for patients diagnosed with low-risk prostate cancer (PCa) and selected cases with intermediate-risk PCa. The adoption of prostate MRI in the primary diagnostic setting has sparked interest in its application during AS. This review aims to examine the role and performance of multiparametric MRI (mpMRI) across the entire AS pathway, from initial stratification to follow-up, also relative to the utilization of the Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) criteria. Given the high negative predictive value of mpMRI in detecting clinically significant PCa (csPCa), robust evidence supports its use in patient selection and risk stratification at the time of diagnosis or confirmatory biopsy. However, conflicting results have been observed when using MRI in evaluating disease progression during follow-up. Key areas requiring clarification include addressing the clinical significance of MRI-negative csPCa, optimizing MRI quality, determining the role of biparametric MRI (bpMRI) or mpMRI protocols, and integrating artificial intelligence (AI) for improved performance. CLINICAL RELEVANCE STATEMENT: MRI plays an essential role in the selection, stratification, and follow up of patients in active surveillance (AS) for prostate cancer. However, owing to existing limitations, it cannot fully replace biopsies in the context of AS. KEY POINTS: Multiparametric MRI (mpMRI) has become a crucial tool in active surveillance (AS) for prostate cancer (PCa). Conflicting results have been observed regarding multiparametric MRI efficacy in assessing disease progression. Standardizing MRI-guided protocols will be critical in addressing current limitations in active surveillance for prostate cancer.

Indexed as

Prostatic NeoplasmsWatchful WaitingBiopsyDisease ProgressionHumansMagnetic Resonance ImagingMaleMultiparametric Magnetic Resonance ImagingRisk AssessmentActive surveillanceMagnetic resonance imagingProstate cancer

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.