Evidence map›Paper›PMID 37840062›Full record

ArticleInsights into imaging2023

Higher field reduced FOV diffusion-weighted imaging for abdominal imaging at 5.0 Tesla: image quality evaluation compared with 3.0 Tesla.

Yunfei Zhang, Ruofan Sheng, Chun Yang, Yongming Dai, Mengsu Zeng

Abstract 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 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.

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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

5 authors.

Yunfei ZhangShanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China.
Ruofan ShengShanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China.
Chun YangShanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China.
Yongming DaiSchool of Biomedical Engineering, ShanghaiTech Univerisity, Shanghai, 200032, China. daiyongming555@163.com.
Mengsu ZengShanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China. zengmengsu111@163.com.

Funding

Clinical Research Plan of SHDC SHDC2020CR1029BClinical Research Project of Zhongshan Hospital, Fudan University 2020ZSLC61National Natural Science Foundation of China 82171897Shanghai Municipal Key Clinical Specialty shslczdzk03202Shanghai Science and Technology Committee 19411965500
6 · The paper itself

Abstract

objectiveTo evaluate the image quality of reduced field-of-view (rFOV) DWI for abdominal imaging at 5.0 Tesla (T) compared with 3.0 T.

methodsFifteen volunteers were included into this prospective study. All the subjects underwent the 3.0 T and 5.0 T MR examinations (time interval: 2 ± 1.9 days). Free-breathing (FB), respiratory-triggered (RT), and navigator-triggered (NT) spin-echo echo-planner imaging-based rFOV-DWI examinations were conducted at 3.0 T and 5.0 T (FB

resultsThe SNRs of any 5.0 T DWI images were significantly higher than those of any 3.0 T DWI images for same anatomic locations. Moreover, 5.0 T rFOV-DWIs had the significantly higher sharpness scores than 3.0 T rFOV-DWIs. Similar distortion scores were observed at both 3.0 T and 5.0 T. Finally, RT

conclusionThe 5.0 T rFOV-DWI showed better overall image quality and improved SNR compared to 3.0 T rFOV-DWI, which holds clinical potential for identifying the abdominal abnormalities in routine practice. CRITICAL RELEVANCE STATEMENT: This study provided evidence that abdominal 5.0 Tesla reduced field of view diffusion-weighted imaging (5.0 T rFOV-DWI) exhibited enhanced image quality and higher SNR compared to its 3.0 Tesla counterparts, holding clinical promise for accurately visualizing abdominal abnormalities. KEY POINTS: • rFOV-DWI was firstly integrated with high-field-MRI for visualizing various abdominal organs. • This study indicated the feasibility of abdominal 5.0 T-rFOV-DWI. • Better image quality was identified for 5.0 T rFOV-DWI.

Indexed as

5.0 TeslaDiffusion magnetic resonance imagingImage qualityrFOV-DWIUltra-high-field MRI

Identifiers

PMID37840062
PMCPMC10577120

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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.