Evidence map›Paper›PMID 32277361›Full record

ArticleRadiological physics and technology2020

Optimal strategy for measuring intraventricular temperature using acceleration motion compensation diffusion-weighted imaging.

Shuhei Shibukawa, Tetsu Niwa, Naoki Ohno, Tosiaki Miyati, Isao Muro, Tetsuo Ogino, Mitsunori Matsumae, Yutaka Imai

Abstract read
PubMed Publisher
In one paragraph

Article in Radiological physics and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Progress in Understanding Radiofrequency Heating and Burn Injuries for Safer MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    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 at 3 institutions in 1 country.

Shuhei ShibukawaDepartment of Radiology, Tokai University Hospital, Isehara, Kanagawa, Japan.ORCID http://orcid.org/0000-0001-8638-7522
Tetsu NiwaDepartment of Radiology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Naoki OhnoDivision of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, 5-11-80, Kodatsuno, Kanazawa, Ishikawa, 920-0942, Japan.
Tosiaki MiyatiDivision of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, 5-11-80, Kodatsuno, Kanazawa, Ishikawa, 920-0942, Japan. ramiyati@mhs.mp.kanazawa-u.ac.jp.
Isao MuroDepartment of Radiology, Tokai University Hospital, Isehara, Kanagawa, Japan.
Tetsuo OginoPhilips Japan, Shinagawa, Tokyo, Japan.
Mitsunori MatsumaeDepartment of Neurosurgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Yutaka ImaiDepartment of Radiology, Tokai University School of Medicine, Isehara, Kanagawa, Japan.
Tokai University · JPKanazawa University · JPTokai University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DWI thermometry is affected by CSF pulsation. To achieve more accurate determination of intraventricular temperature, we compared conventional DWI (c-DWI), acceleration motion compensation DWI (aMC-DWI), and motion compensation DWI (MC-DWI) when using two different b values (commonly used b value [1000 s/mm

Indexed as

Diffusion Magnetic Resonance ImagingMovementTemperatureAccelerationArtifactsCerebral VentriclesHumansThermometryAcceleration motion compensationBrain temperatureCerebral ventricleDiffusion-weighted imagingIntraventricular temperature

Identifiers

PMID32277361
OpenAlexW3015807442

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.