Evidence map›Paper›PMID 27240900›Full record

ArticleMagnetic resonance imaging2016

Segmented diffusion-weighted imaging of the prostate: Application to transperineal in-bore 3T MR image-guided targeted biopsy.

Andriy Fedorov, Kemal Tuncali, Lawrence P Panych, Janice Fairhurst, Elmira Hassanzadeh, Ravi T Seethamraju, Clare M Tempany, Stephan E Maier

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. New prostate MRI techniques and sequences.Abdominal radiology (New York) · 2020
    Review
  6. Article
  7. Article
  8. Review
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

8 authors.

Andriy FedorovDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: andrey.fedorov@gmail.com.
Kemal TuncaliDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Lawrence P PanychDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Janice FairhurstDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Elmira HassanzadehDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ravi T SeethamrajuDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Siemens Healthcare, Boston, MA, USA.
Clare M TempanyDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Stephan E MaierDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Sahlgrenska University Hospital, Gothenburg University, Gothenburg, Sweden.

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
Advancement and Validation of Prostate Diffusion and Spectroscopic MRIR01CA160902 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI MAIER, STEPHAN E · 2012 to 2017
$2.1M
Advanced Techniques for Rapid and Artifact-Resistant MR Diffusion ImagingR01EB010195 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI MADORE, BRUNO, MAIER, STEPHAN E · 2010 to 2013
$1.9M
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 R01 CA160902NCI NIH HHS U01 CA151261NIBIB NIH HHS P41 EB015898NIBIB NIH HHS R01 EB010195
6 · The paper itself

Abstract

objectiveThis study aims to evaluate the applicability of using single-shot and multi-shot segmented diffusion-weighted imaging (DWI) techniques to support biopsy target localization in a cohort of targeted MRI-guided prostate biopsy patients. MATERIALS AND

methodsSingle-shot echo-planar diffusion-weighted imaging (SS-DWI) and multi-shot segmented (MS-DWI) were performed intra-procedurally on a 3Tesla system in a total of 35 men, who underwent in-bore prostate biopsy inside the scanner bore. Comparisons between SS-DWI and MS-DWI were performed with (in 16 men) and without (in 19 men) parallel coil acceleration (iPAT) for SS-DWI. Overall image quality and artifacts were scored by a radiologist and scores were compared with the Wilcoxon-Mann-Whitney rank test. Correlation between the presence of air and image quality scores was evaluated with Spearman statistics. To quantify distortion, the anteroposterior prostate dimension was measured in SS and MS b=0 diffusion- and T2-weighted images. Signal-to-noise ratio was estimated in a phantom experiment. Agreement and accuracy of targeting based on retrospective localization of restricted diffusion areas in DWI was evaluated with respect to the targets identified using multi-parametric MRI (mpMRI).

resultsCompared to SS-DWI without iPAT, the average image quality score in MS-DWI improved from 2.0 to 3.3 (p<0.005) and the artifact score improved from 2.3 to 1.4 (p<0.005). When iPAT was used in SS-DWI, the average image quality score in MS-DWI improved from 2.6 to 3.3 (p<0.05) and the artifact score improved from 2.1 to 1.4 (p<0.01). Image quality (ρ=-0.74, p<0.0005) and artifact scores (ρ=0.77, p<0.0005) both showed strong correlation with the presence of air in the rectum for the SS-DWI sequence without iPAT. These correlations remained significant when iPAT was enabled (ρ=-0.52, p<0.05 and ρ=0.64, p<0.01). For the comparison MS-DWI vs SS-DWI without iPAT, median differences between diffusion- and T2-weighted image gland measurements were 1.1(0.03-10.4)mm and 4.4(0.5-22.7)mm, respectively. In the SS-DWI-iPAT cohort, median gland dimension differences were 2.7(0.4-5.9)mm and 4.2(0.7-8.9)mm, respectively. Out of the total of 89 targets identified in mpMRI, 20 had corresponding restricted diffusion areas in SS-DWI and 28 in MS-DWI. No statistically significant difference was observed between the distances for the targets in the target-concordant SS- and MS-DWI restricted diffusion areas (5.5mm in SS-DWI vs 4.5mm in MS-DWI, p>0.05).

conclusionsMS-DWI applied to prostate imaging leads to a significant reduction of image distortion in comparison with SS-DWI. There is no sufficient evidence however to suggest that intra-procedural DWI can serve as a replacement for tracking of the targets identified in mpMRI for the purposes of targeted MRI-guided prostate biopsy.

Indexed as

AgedAged, 80 and overDiffusion Magnetic Resonance ImagingEcho-Planar ImagingHumansImage-Guided BiopsyMagnetic Resonance Imaging, InterventionalMaleMiddle AgedProstateProstatic NeoplasmsRetrospective StudiesSensitivity and SpecificityDiffusion weighted imagingImage distortionImage-guided interventionsImage-guided prostate biopsyMagnetic resonance imagingProstate cancer

Identifiers

PMID27240900
PMCPMC4993653

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Registered trials

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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.