Evidence map›Paper›PMID 40727327›Full record

ArticleQuantitative imaging in medicine and surgery2025

Pancreatic extracellular volume fraction based on dual-energy computed tomography iodine maps: association with diabetes.

Xiaoyi Cai, Bing Zhang, Haijing Sui, Gongbo Xue, Xiaoming Huang, Ling Liu, Guohua Wang, Xiaoran Yan, Hongyan Liu

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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. Not yet cited in PubMed.

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9 authors.

Xiaoyi CaiDepartment of Radiology, Shanghai Pudong New Area People's Hospital, Shanghai, China.ORCID https://orcid.org/0000-0001-7856-762X
Bing ZhangDepartment of Radiology, Qingdao Municipal Hospital, Qingdao, China.
Haijing SuiDepartment of Radiology, Shanghai Pudong New Area People's Hospital, Shanghai, China.
Gongbo XueDepartment of Radiology, Qingdao Municipal Hospital, Qingdao, China.
Xiaoming HuangDepartment of Radiology, Qingdao Municipal Hospital, Qingdao, China.
Ling LiuCT Imaging Research Center, GE Healthcare China Co., Ltd., Beijing, China.
Guohua WangDepartment of Radiology, Qingdao Municipal Hospital, Qingdao, China.ORCID https://orcid.org/0000-0003-1289-8260
Xiaoran YanDepartment of Ophthalmology, Qingdao Municipal Hospital, Qingdao, China.
Hongyan LiuDepartment of Radiology, Qingdao Municipal Hospital, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pancreatic fibrosis is closely related to blood glucose levels in diabetes, and pancreatic extracellular volume fraction (fECV) can quantify pancreatic fibrosis. The aim of this study was to investigate the correlation between pancreatic fECV measured by dual-energy computed tomography (DECT) iodine maps and hemoglobin A1c (HbA1c), and the feasibility of fECV in evaluating the progression of diabetes. Methods: This retrospective cross-sectional study included 213 patients who underwent abdominal contrast-enhanced DECT examinations; they were divided into two groups: non-diabetes (Group ND) and diabetes (Group D). Group ND included normal blood glucose (Group ND_N) and pre-diabetes (Group ND_PD). Group D included good blood glucose control (Group D_C) and poor blood glucose control (Group D_NC). HbA1c data were collected through electronic medical records. Pancreatic fECV was derived from DECT equilibrium phase iodine maps. Correlations between pancreatic fECV and HbA1c and comparisons of fECV among different groups were evaluated with Spearman's correlation and analysis of variance (ANOVA). Logistic regression analysis was conducted to investigate the association between pancreatic fECV and diabetes. Diagnostic value of fECV was assessed by receiver operating characteristic (ROC) curve. Results: HbA1c was positively correlated with fECV (r Conclusions: Pancreatic fECV is positively correlated with HbA1c, the independent indicator to assess the progression of diabetes, and could indirectly reflect pathophysiological changes of pancreas with diabetes and indicate progression of diabetes from imaging.

Indexed as

diabetesDual-energy computed tomography (DECT)extracellular volume fraction (fECV)hemoglobin A1c (HbA1c)pancreas

Identifiers

PMID40727327
PMCPMC12290635

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