Evidence map›Paper›PMID 31645537›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2020

Evaluation of Thin-slice Coronal Single-shot Turbo Spin-echo Diffusion-weighted Imaging of the Hand: A Comparison with Conventional Echo-planar Diffusion-weighted Imaging.

Masaki Ogawa, Motoo Nakagawa, Nobuyuki Arai, Hirohito Kan, Shota Ohba, Shunsuke Shibata, Hiroyuki Maki, Yuta Shibamoto

Abstract readComparative Study
In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Masaki OgawaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences.
Motoo NakagawaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences.
Nobuyuki AraiDepartment of Radiology, Nagoya City University Hospital.
Hirohito KanDepartment of Radiology, Nagoya City University Hospital.
Shota OhbaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences.
Shunsuke ShibataDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences.
Hiroyuki MakiDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences.
Yuta ShibamotoDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We prospectively evaluated thin-slice coronal turbo spin-echo (TSE) diffusion-weighted imaging (DWI) covering a larger area with the recently-developed techniques on a 3T MRI scanner, compared with echo-planar imaging (EPI)-DWI in patients undergoing routine hand MRI. Visual score assessment and apparent diffusion coefficient (ADC) measurement were performed for patients with suspected hand tumors. TSE-DWI was superior to EPI-DWI, with less image distortion. The visual score and ADC comparison assessments proved that the image noise of TSE-DWI was acceptable.

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingMagnetic Resonance ImagingAdultAgedBone NeoplasmsFemaleHandHumansMaleMiddle AgedMuscle NeoplasmsObserver VariationProspective StudiesYoung Adultmagnetic resonance imagingmusculoskeletal lesionnon-echo-planar imaging techniqueturbo spin-echo diffusion-weighted imaging

Identifiers

PMID31645537
PMCPMC7809136

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.