Evidence map›Paper›PMID 36645541›Full record

ArticleInsights into imaging2023

A feasibility study of reduced full-of-view synthetic high-b-value diffusion-weighted imaging in uterine tumors.

Qian Tang, Qiqi Zhou, Wen Chen, Ling Sang, Yu Xing, Chao Liu, Kejun Wang, Weiyin Vivian Liu, Lin Xu

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2023. 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
1.1field-weighted citation impact, top 23% 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, 5 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

9 authors at 2 institutions in 2 countries.

Qian TangDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Qiqi ZhouDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Wen ChenDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Ling SangDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Yu XingDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Chao LiuDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Kejun WangDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Weiyin Vivian LiuGE Healthcare, Beijing, China. weiyin.liu@qq.com.
Lin XuDepartment of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China. xulinst@sohu.com.ORCID http://orcid.org/0000-0003-4784-9127
Hubei University of Medicine · CNGeneral Electric (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the feasibility of reduced full-of-view synthetic high-b value diffusion-weighted images (rFOV-syDWIs) in the clinical application of cervical cancer based on image quality and diagnostic efficacy.

methodsWe retrospectively evaluated the data of 35 patients with cervical cancer and 35 healthy volunteers from May to November 2021. All patients and volunteers underwent rFOV-DWI scans, including a 13b-protocol: b = 0, 25, 50, 75, 100, 150, 200, 400, 600, 800, 1000, 1200, and 1500 s/mm

resultsA higher inter-reader agreement between SNRs and CNRs was found in 13b-protocol and 5b-protocol rFOV-syDWI

conclusionsrFOV-syDWIs provide better lesion clarity and higher image quality than rFOV-sDWIs. 5b-protocol rFOV-syDWIs shorten scan time, and synthetic ADCs offer reliable diagnosis value as scanned 13b-protocol DWIs.

Indexed as

Cervical cancerMagnetic resonance imageReduced field-of-view diffusion-weighted imagingSynthetic diffusion-weighted image

Identifiers

PMID36645541
PMCPMC9842823
OpenAlexW4316494597

What OpenQuestion holds

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LicenceCC BY
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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.