Evidence map›Paper›PMID 36915724›Full record

ArticleAmerican journal of translational research2023

Diagnostic value of MRI perfusion-weighted imaging and diffusion-weighted imaging parameters in cerebral apoplexy.

Dan Jin, Xiaojuan Su, Yuxuan Jin, Yan Gu, Junjie Yang, Qingri Wang, Yeqing Wang, Dai Shi, Liang Xu

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. 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
0.9field-weighted citation impact, top 26% 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, 4 citations in OpenAlex.

  1. Article
4 · The record

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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 1 institution in 1 country.

Dan JinDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Xiaojuan SuDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Yuxuan JinDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Yan GuDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Junjie YangDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Qingri WangDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Yeqing WangDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Dai ShiDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Liang XuDepartment of Radiology, The Second Affiliated Hospital of Soochow University Suzhou 215004, Jiangsu, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the clinical and prognostic value of MRI perfusion-weighted imaging (PWI) versus diffusion-weighted imaging (DWI) parameters for apparent diffusion coefficient (ADC) and cerebral blood flow (CBF) in the diagnosis of patients with ischemic stroke (IS).

methodsEighty patients diagnosed with IS in the Second Affiliated Hospital of Soochow University from January 2020 to January 2021 were retrospectively analyzed and regarded as a patient group. Meanwhile, 50 patients who underwent physical examination at the Second Affiliated Hospital of Soochow University during the same period were collected, and were identified by physical examination to have atherosclerotic stenosis but not cerebral infarction, they were set as a control group. The differences of ADC and CBF between both groups were compared. The diagnostic value of ADC and CBF in diagnosing acute ischemic stroke was analyzed by receiver operating characteristic (ROC) curve. The changes of ADC and CBF before and after treatment were compared. Patients were sub-grouped according to their mRS scores, and those with scores of 0-2 were grouped into the good prognosis group while those with scores of 3-6 were grouped into the poor prognosis group, and the risk factors affecting patients' prognosis were evaluated by logistic regression. The correlation of ADC and CBF with National Institutes of Health Stroke Scale (NIHSS) scores and modified Rankin Scale (mRS) scores was analyzed. ADC and CBF levels were compared between deceased and surviving patients, and their predictive value was assessed by ROC curves.

resultsADC and CBF were dramatically lower in the patient group compared with the control group (P<0.05). The area under the curve (AUC) of ADC and CBF in diagnosing IS was 0.949 and 0.926. The ADC and CBF values after treatment were significantly increased as compared to before treatment (both P<0.05). Both ADC and CBF were lower in the patients of the deceased group than in those in the survival group (P<0.05). The AUC for ADC and CBF in predicting death in patients diagnosed with IS was 0.866 and 0.766, respectively. ADC, CBF was negatively correlated with patients' NIHSS and mRS scores (P<0.01). Higher pre-treatment NIHSS and admission time ≥24 h after onset were risk factors for patient prognosis, whereas higher ADC and CBF values were protective factors (all P<0.05).

conclusionADC and CBF values are reduced in IS patients and can be used as a diagnostic and prognostic indicator of IS.

Indexed as

apparent diffusion coefficientcerebral blood flowdiagnosisIschemic strokemagnetic resonance imagingprognosis

Identifiers

PMID36915724
PMCPMC10006800
OpenAlexW4324129246

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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.