Evidence map›Paper›PMID 34737925›Full record

ArticleQuantitative imaging in medicine and surgery2021

Ultra-high b value DWI in distinguishing fresh gray matter ischemic lesions from white matter ones: a comparative study with routine and high b value DWI.

Xinming Huang, Xue Xu, Yifan Sun, Guoen Cai, Rifeng Jiang, Jianhua Chen, Yunjing Xue

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Xinming HuangDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Xue XuDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Yifan SunDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Guoen CaiDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Rifeng JiangDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Jianhua ChenDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Yunjing XueDepartment of Radiology, Fujian Medical University Union Hospital, Fuzhou, China.
Fujian Medical University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFresh ischemic lesions (FILs) can occur in both the brain's gray matter (GM) and white matter (WM), with each location signifying a different prognosis for patients. This study aims to investigate the application of ultra-high b value diffusion-weighted imaging (DWI) in distinguishing FILs in these two areas via a comparative study with routine and high b value DWI.

methodsMultiple b value DWI (b=0, 500, 1,000, 2,000, 4,000, 6,000, 8,000, 10,000 s/mm

resultsIn the enrolled 34 patients, 145 FILs were identified, of which 42 involved the GM, 87 the WM, and 16 both the GM and WM. A total of 161 regions were delineated, 58 in the GM and 103 in the WM. The values of FILs in the WM on ADC

conclusionsUltra-high b value DWI is extremely sensitive to the slight diffusion difference between FILs in the GM and the WM. Its sensitivity parallels the increasing b value, indicating its clinical advantage in identifying the microstructure of FILs.

Indexed as

acute ischemic stroke (AIS)fresh ischemic lesion (FIL)gray matter (GM)Ultra-high b value diffusion-weighted imaging (ultra-high b value DWI)white matter (WM)

Identifiers

PMID34737925
PMCPMC8511721
OpenAlexW3178991501

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.