Evidence map›Paper›PMID 32356004›Full record

ArticleAbdominal radiology (New York)2020

Evaluation of simultaneous-multislice diffusion-weighted imaging of liver at 3.0 T with different breathing schemes.

Yigang Pei, Siming Xie, Wenzheng Li, Xianjing Peng, Qin Qin, Qian Ye, Mengsi Li, Jiaxi Hu, Jiale Hou, Guijing Li and 1 more

Abstract read
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In one paragraph

Article in Abdominal radiology (New York), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Diffusion-weighted Imaging of the Abdomen during a Single Breath-hold Using Simultaneous-multislice Echo-planar Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2023
    Article
  10. Article
  11. Article
  12. Diffusion-Weighted MRI in the Genitourinary System.Journal of clinical medicine · 2022
    Review
  13. 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

11 authors at 4 institutions in 2 countries.

Yigang PeiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Siming XieDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Wenzheng LiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Xianjing PengDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Qin QinDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Qian YeDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Mengsi LiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Jiaxi HuDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Jiale HouDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Guijing LiSimens Healthcare Ltd, Guangzhou Branch, Guangzhou, 510620, People's Republic of China.
Shuo HuKey Laboratory of Biological, Nanotechnology of National Health Commission, Changsha, 410008, Hunan, People's Republic of China. hushuo2019@163.com.
Xiangya Hospital Central South University · CNCentral South University · CNNational Health and Family Planning Commission · CNJohns Hopkins Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo obtain the optimal simultaneous-multislice (SMS)-accelerated diffusion-weighted imaging (DWI) of the liver at 3.0 T MRI by systematically estimating the repeatability of apparent diffusion coefficient (ADC), signal-to-noise ratio (SNR) and image quality of different breathing schemes in comparison to standard DWI (STD) and other SMS sequences.

methodsIn this institutional review board-approved prospective study, hepatic DWIs (b = 50, 300, 600 s/mm

resultsSMS-DWI reduced scan time significantly by comparison with corresponding STD-DWI (27 vs. 42 s for BH, 54 vs. 78 s for FB and 42 vs. 97 s for RT). In all DWIs, BH-SMS had the greatest intraobserver agreement (intraclass correlation coefficient (ICC): 0.920-0.944) and good interobserver agreement (ICC: 0.831-0.886) for ADC measurements, and had the best ADC repeatability (mean ADC absolute differences: 0.046-0.058 × 10

conclusionBH-SMS provides considerable scan time reduction with good image quality, sufficient SNR and highest ADC repeatability on 3.0 T MRI, which is thus recommended as the optimal hepatic DWI sequence for those subjects with adequate breath-holding capability.

Indexed as

Diffusion Magnetic Resonance ImagingLiverHumansProspective StudiesReproducibility of ResultsSignal-To-Noise RatioADC repeatabilityLiver DWIsOptimal SMS-DWISTD-DWIVarious breathing schemes

Identifiers

PMID32356004
OpenAlexW3022789123

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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.