Evidence map›Paper›PMID 40384654›Full record

ArticleQuantitative imaging in medicine and surgery2025

Prediction of early renal allograft dysfunction using multiparametric magnetic resonance imaging.

Ling Zhang, Zhenshan Ding, Xiaoqi Pu, Xiuzheng Yue, Yiwei Li, Shangwen Zhuang, Sheng Xie

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
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.

Ling Zhang *Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
Zhenshan Ding *Department of Urology, China-Japan Friendship Hospital, Beijing, China.
Xiaoqi PuDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Xiuzheng YuePhilips Healthcare, Beijing, China.
Yiwei LiDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Shangwen ZhuangDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Sheng XieDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiparametric magnetic resonance imaging (mpMRI) has shown potential as a non-invasive tool for evaluating renal allografts. This study aimed to evaluate whether mpMRI could serve as a biomarker for predicting early renal allograft dysfunction. Methods: A total of 31 patients (44.4±10.9 years, 6 females) who underwent mpMRI 1 month after kidney transplantation were included in the study. MpMRI parameters, including the apparent diffusion coefficient (ADC), renal blood flow (RBF), and T1-rho (T1ρ), were measured for all patients. The patients were divided into a stable group (SG) and an impaired group (IG) based on the increase in serum creatinine levels. The ADC, RBF, and T1ρ values were statistically compared between the two groups. Additionally, a receiver operating characteristic (ROC) curve analysis was used to assess the performance of the magnetic resonance imaging (MRI) parameters in predicting renal allograft dysfunction. Statistical analyses were performed using individual sample Results: The SG comprised 20 patients and the IG comprised 11 patients. The baseline RBF and T1ρ differed significantly between the two groups (261.1±56.4 Conclusions: This study shows that mpMRI parameters, particularly RBF and T1ρ mapping, have potential as biomarkers for predicting early renal allograft dysfunction.

Indexed as

multiparametric magnetic resonance imaging (mpMRI)Renal allograftT1-rho (T1ρ)

Identifiers

PMID40384654
PMCPMC12084739

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