Evidence map›Paper›PMID 42758929›Full record

ReviewCanadian Urological Association journal = Journal de l'Association des urologues du Canada2026

Successes and challenges in developing a magnetic resonance imaging-transrectal ultrasound machine fusion prostate biopsy service.

Andreu F Costa, Trevor A McGrath, Ben Terry Thompson, Michael Rivers-Bowerman

Abstract readReview
In one paragraph

Review in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Andreu F CostaDepartment of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada.
Trevor A McGrathDepartment of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada.
Ben Terry ThompsonFaculty of Science, Dalhousie University, Halifax, NS, Canada.
Michael Rivers-BowermanDepartment of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate magnetic resonance imaging (MRI) is an integral part of the diagnostic pathway in patients with suspected prostate cancer. Patients with positive findings on MRI require targeted biopsy for histopathologic diagnosis, and machine fusion biopsy is emerging as an accurate and reliable technique for diagnosis; however, access to this service is lacking across Canada. Over the past three years, our institution has developed a successful MRI-transrectal ultrasound (US) machine fusion prostate biopsy program. The purpose of this article is to discuss operational and clinical aspects of the service, and how we've overcome challenges in implementation. We describe the technique and diagnostic yield of machine fusion biopsy at our institution, including the subset of patients undergoing concurrent systematic biopsy. Challenges in establishing this program have included having sufficient workforce, screening patients at high risk of post-biopsy urosepsis, implementing transperineal biopsy, and a growing waitlist. An avenue for future improvement is a formal radiology-pathology correlation process. The goal of our machine fusion prostate biopsy program is to provide early and accurate diagnoses of MRI findings, thereby enabling optimal treatment plans and ultimately improved patient outcomes.

Identifiers

PMID42758929
PMCPMC13588588

What OpenQuestion holds

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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.