Evidence map›Paper›PMID 35944809›Full record

ArticleMagnetic resonance imaging2022

Reduced field-of-view and multi-shot DWI acquisition techniques: Prospective evaluation of image quality and distortion reduction in prostate cancer imaging.

Edward M Lawrence, Yuxin Zhang, Jitka Starekova, Zihan Wang, Ali Pirasteh, Shane A Wells, Diego Hernando

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  10. High-resolution Diffusion-weighted Imaging of the Prostate Using Multiplexed Sensitivity-encoding: Comparison with the Conventional and Reduced Field-of-view Techniques.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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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 1 institution in 1 country.

Edward M LawrenceDepartment of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA. Electronic address: elawrence@uwhealth.org.
Yuxin ZhangDepartment of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Jitka StarekovaDepartment of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Zihan WangDepartment of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Ali PirastehDepartment of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Shane A WellsDepartment of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Diego HernandoDepartment of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA; Department of Medical Physics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
University of Wisconsin–Madison · US

Funding

Diffusion MRI of the AbdomenR01EB030497 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI HERNANDO, DIEGO · 2021 to 2021
$1.6M
NIBIB NIH HHS R01 EB030497
6 · The paper itself

Abstract

objectivesTo prospectively compare image quality and apparent diffusion coefficient (ADC) quantification for reduced field-of-view (rFOV)- and multi-shot echo-planar imaging (msEPI)-based diffusion weighted imaging (DWI), using single-shot echo-planar-imaging (ssEPI) DWI as the reference.

methodsUnder IRB approval and after informed consent, msEPI, rFOV, and ssEPI DWI acquisitions were prospectively added to clinical prostate MRI exams at 3.0 T. Image distortion was quantitatively evaluated by root-mean-squared displacement (d

resultsTwenty-five patients were included (15 with proven sites of cancer). Average d

conclusionsrFOV and msEPI DWI techniques achieved reduction in image distortion, improvement in image quality, and maintained reproducible ADC quantification compared to the standard ssEPI.

Indexed as

Diffusion Magnetic Resonance ImagingProstatic NeoplasmsEcho-Planar ImagingHumansMagnetic Resonance ImagingMaleProstateReproducibility of ResultsDiffusion weighted imagingEcho planar imagingimage processing, computer-assistedmagnetic resonance imagingProstate cancer

Identifiers

PMID35944809
PMCPMC9523455
OpenAlexW4293282519

What OpenQuestion holds

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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.