Evidence map›Paper›PMID 28293720›Full record

ArticleAbdominal radiology (New York)2017

Pathologic correlation of transperineal in-bore 3-Tesla magnetic resonance imaging-guided prostate biopsy samples with radical prostatectomy specimen.

Erik Velez, Andriy Fedorov, Kemal Tuncali, Olutayo Olubiyi, Christopher B Allard, Adam S Kibel, Clare M Tempany

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Abdominal radiology (New York), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Erik VelezDepartment of Radiology, Harvard Medical School, Brigham and Women's Hospital, National Center for Image Guided Therapy, 75 Francis St, Boston, MA, 02115, USA. Erik.velez117@gmail.com.
Andriy FedorovDepartment of Radiology, Harvard Medical School, Brigham and Women's Hospital, National Center for Image Guided Therapy, 75 Francis St, Boston, MA, 02115, USA.
Kemal TuncaliDepartment of Radiology, Harvard Medical School, Brigham and Women's Hospital, National Center for Image Guided Therapy, 75 Francis St, Boston, MA, 02115, USA.
Olutayo OlubiyiDepartment of Radiology, Harvard Medical School, Brigham and Women's Hospital, National Center for Image Guided Therapy, 75 Francis St, Boston, MA, 02115, USA.
Christopher B AllardDivision of Urology, Department of Surgery, Harvard Medical School, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Adam S KibelDivision of Urology, Department of Surgery, Harvard Medical School, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Clare M TempanyDepartment of Radiology, Harvard Medical School, Brigham and Women's Hospital, National Center for Image Guided Therapy, 75 Francis St, Boston, MA, 02115, USA.
Brigham and Women's Hospital · USGuided Therapeutics (United States) · USHarvard University · US

Funding

Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Enabling Technologies for MRI-Guided Prostate InterventionsR01CA111288 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2006 to 2015
$7.8M
Quantitiative MRI of prostate cancer as a biomarker and guide for treatmentU01CA151261 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI FENNESSY, FIONA · 2010 to 2014
$1.8M
NCI NIH HHS R01 CA111288NCI NIH HHS U01 CA151261NIBIB NIH HHS P41 EB015898
6 · The paper itself

Abstract

purposeTo determine the accuracy of in-bore transperineal 3-Tesla (T) magnetic resonance (MR) imaging-guided prostate biopsies for predicting final Gleason grades in patients who subsequently underwent radical prostatectomy (RP).

methodsA retrospective review of men who underwent transperineal MR imaging-guided prostate biopsy (tpMRGB) with subsequent radical prostatectomy within 1 year was conducted from 2010 to 2015. All patients underwent a baseline 3-T multiparametric MRI (mpMRI) with endorectal coil and were selected for biopsy based on MR findings of a suspicious prostate lesion and high degree of clinical suspicion for cancer. Spearman correlation was performed to assess concordance between tpMRGB and final RP pathology among patients with and without previous transrectal ultrasound (TRUS)-guided biopsies.

resultsA total of 24 men met all eligibility requirements, with a median age of 65 years (interquartile range [IQR] 11.7). The median time from biopsy to RP was 85 days (IQR 50.5). Final pathology revealed Gleason 3 + 4 = 7 in 12 patients, 4 + 3 = 7 in 10 patients, and 4 + 4 = 8 in 2 patients. A strong correlation (ρ: +0.75, p < 0.001) between tpMRGB and RP results was observed, with Gleason scores concordant in 17 cases (71%). 16 of the 24 patients underwent prior TRUS biopsies. Subsequent tpMRGB revealed Gleason upgrading in 88% of cases, which was concordant with RP Gleason scores in 69% of cases (ρ: +0.75, p < 0.001).

conclusionFinal Gleason scores diagnosed by tpMRGB at 3-T correlate strongly with final RP surgical pathology. This may facilitate prostate cancer diagnosis, particularly in patients with negative or low-grade TRUS biopsy results in whom clinically significant cancer is suspected or detected on mpMRI.

Indexed as

Image-Guided BiopsyAgedHumansMagnetic Resonance ImagingMaleNeoplasm GradingProstatectomyProstatic NeoplasmsRetrospective StudiesMRI-guided prostate biopsyProstate cancer

Identifiers

PMID28293720
PMCPMC5519410
OpenAlexW2596094932

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.