Evidence map›Paper›PMID 40992400›Full record

ReviewRenal failure2025

Progress of functional magnetic resonance imaging in the assessment of transplanted kidney function.

Jiali Ma, Bin Jiang, Jiayi Wan, Rui Xu, Chenqin Que, Mo Zhu

Abstract readReview
In one paragraph

Review in Renal failure, 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. 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

6 authors.

Jiali MaDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Bin JiangDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jiayi WanDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Rui XuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Chenqin QueCollege of Medical Technology, Xuzhou Medical University, Xuzhou, China.
Mo ZhuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplantation is considered the best therapeutic option for end-stage chronic kidney disease. The dynamic evaluation of transplanted kidney function and rejection monitoring after kidney transplantation is also crucial. Currently, the definitive means of evaluating transplanted kidney function is the percutaneous renal puncture tissue biopsy. However, a biopsy is invasive and has limited sampling, so it cannot dynamically detect transplanted kidney function. Magnetic resonance imaging (MRI) is a noninvasive, high-contrast, and high-resolution soft tissue imaging method. With the advent of new functional arrays such as diffusion-weighted imaging, magnetic resonance elastography, blood oxygen level-dependent imaging, and arterial spin-labeled imaging, among others, renal function can be evaluated from multiple angles such as diffusion, morphology, oxygenation, perfusion, metabolism and microstructure changes non-invasively. In this paper, we present those mentioned functional MRI techniques to better comprehend the role and value of each technique in the assessment of functional status after kidney transplantation, and to open new avenues for future related studies.

Indexed as

Graft RejectionKidneyKidney Failure, ChronicKidney TransplantationMagnetic Resonance ImagingDiffusion Magnetic Resonance ImagingElasticity Imaging TechniquesHumansKidney Function Testsfunctional magnetic resonance imagingkidney transplantationnoninvasive assessmentTransplanted kidney function

Identifiers

PMID40992400
PMCPMC12462422

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.