Evidence map›Paper›PMID 35031840›Full record

ArticleEuropean radiology2022

Capability of intravoxel incoherent motion and diffusion tensor imaging to detect early kidney injury in type 2 diabetes.

Haoran Zhang, Peng Wang, Dafa Shi, Xiang Yao, Yanfei Li, Xuedan Liu, Yang Sun, Jie Ding, Siyuan Wang, Guangsong Wang and 1 more

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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  8. Review
  9. Evaluation of Early Renal Changes in Type 2 Diabetes Mellitus Using Multiparametric MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
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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 2 institutions in 1 country.

Haoran ZhangDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Peng WangDepartment of Radiology, The First Hospital of China Medical University, Shenyang, China.
Dafa ShiDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Xiang YaoDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Yanfei LiDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Xuedan LiuDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Yang SunDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Jie DingDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Siyuan WangDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Guangsong WangDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China.
Ke RenDepartment of Radiology, Xiang'an Hospital of Xiamen University, Xiamen, 361005, China. keren727@163.com.
Xiamen University · CNChina Medical University · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China Grant 82071886
6 · The paper itself

Abstract

objectivesTo prospectively investigate the capability of intravoxel incoherent motion (IVIM) and conventional diffusion tensor imaging (DTI) to identify early kidney function injury in type 2 diabetes.

methodsForty-one diabetes patients (normoalbuminuria: n = 27; microalbuminuria: n = 14) and 28 volunteers were recruited. All participants were examined using DTI and IVIM with 3.0-T MRI. DTI parameters (mean diffusivity [MD], fractional anisotropy [FA]), and IVIM parameters (true diffusion coefficient [D], pseudo-diffusion coefficient [D*], and pseudo-diffusion component fraction [f]) were measured in the renal parenchyma (cortex and medulla) by two experienced radiologists independently. Image features were compared among the groups using separate one-way analyses of variance. Diagnostic performances of various diffusion parameters for predicting diabetic renal damage were compared.

resultsThe medullary D and FA values were significantly different among the microalbuminuria subgroup, normoalbuminuria subgroup, and control group (all p < 0.001). In medulla, area under the curve (AUC) values for combined FA and D were significantly higher than single FA (AUC = 0.938, 0.769, respectively; p = 0.003), and the combined AUC of FA and D was numerically higher than that of single D (0.938 vs 0.878, p > 0.05). AUC of combined FA and D was 0.985, not significantly different from individual AUC for FA and D (AUC = 0.909 and 0.952, respectively; all p > 0.05) in differentiating the microalbuminuria subgroup from the control group.

conclusionIVIM-derived D and DTI-derived FA values were better than other parameters for evaluating early kidney impairment of diabetes. The single indicator FA and D performed as well as the combined diagnostic indicator in the medulla for differentiating the microalbuminuria subgroup from the control group. KEY POINTS: • We speculated that early renal progression in type 2 diabetes result from restricted tubular flow and kidney tubule dysregulation may precede or at least accompany abnormal glomerular changes. • In medulla, the AUC values of FA and D and the combination of FA and D obtained by comparing the microalbuminuria subgroup with the control group were 0.909, 0.952, and 0.985, respectively. • IVIM-derived D and DTI-derived FA are effective MR biomarkers to evaluate early alterations of the renal function in patients with diabetes.

Indexed as

Diabetes Mellitus, Type 2Diffusion Tensor ImagingDiffusion Magnetic Resonance ImagingFemaleHumansKidneyMaleMotionDiabetesDiabetic kidney diseaseDiffusion tensor imagingIntravoxel incoherent motion

Identifiers

PMID35031840
OpenAlexW4205592562

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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.