Evidence mapPaperPMID 40597762Full record

ArticleBMC medical imaging2025

Automated pancreatic extracellular volume fraction as a biomarker for microangiopathy in type 2 diabetes mellitus.

Jiayu Wan, Dan Zhao, Xue Lin, Peng Sun, Shen Gui, Weiwei Liu, Lian Yang, Feng Pan

Abstract read
In one paragraph

Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jiayu Wan *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China.
Dan Zhao *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China.
Xue Lin *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China.
Peng SunMSC Clinical & Technical Solutions, Philips Healthcare, Wuhan, China.
Shen GuiMSC Clinical & Technical Solutions, Philips Healthcare, Wuhan, China.
Weiwei LiuDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China.
Lian YangDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China. yanglian@hust.edu.cn.
Feng PanDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue #1277, Wuhan, 430022, China. uhfengpan@hust.edu.cn.

Funding

National Natural Science Foundation of China 82172034, 82272083, 81974111the Maior Program of Special Proiectfor Technology Innovation of Hubei Province 2023BCB014
6 · The paper itself

Abstract

objectiveTo develop noninvasive, opportunistic screening methods using routine abdominal enhanced CT imaging to derive an automated pancreatic extracellular volume fraction (AP-ECV) as a novel biomarker for evaluating microangiopathy in type 2 diabetes mellitus (T2DM).

methodsA retrospective study was conducted on 320 patients with T2DM who underwent routine enhanced abdominal CT examinations. Microangiopathy refers to retinopathy, nephropathy or peripheral neuropathy in patients with diabetes. An automated method was developed to calculate AP-ECV values from enhanced abdominal CT images. The association between AP-ECV and T2DM microangiopathy was evaluated using univariate and multivariate logistic regression analyses. Then, assess the sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) for AP-ECV's diagnostic ability in T2DM microangiopathy. Ordinal logistic regression estimated risk factors associated with the severities of microangiopathy, categorized into three levels.

resultsAP-ECV and T2DM duration significantly increased in T2DM patients with microangiopathy (p < 0.01). The AUC for AP-ECV and T2DM duration were 0.767 and 0.761, respectively, with a combined AUC of 0.881. As AP-ECV increased (OR 1.406) and T2DM duration lengthened (OR 1.163), microangiopathy severity significantly escalated.

conclusionAP-ECV is a potential imaging biomarker for T2DM microangiopathy, offering a valuable noninvasive diagnostic tool benefitting early management in T2DM patients.

Indexed as

Diabetes Mellitus, Type 2Diabetic AngiopathiesPancreasTomography, X-Ray ComputedAdultAgedBiomarkersFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityBiomarkersComputed tomographyDiabetic microangiopathyExtracellular volume fractionPancreasType 2 diabetes mellitus

Identifiers

PMID40597762
PMCPMC12211351

What Socratic holds

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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 Socratic graph.