机构:[1]Department of MRI, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.医技片磁共振科云南省第一人民医院[2]Department of Radiology, Municipal People's Hospital of Chuxiong, Chuxiong, China.[3]MR Research Collaboration, Siemens Healthineers, Shanghai, China.[4]Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China.
Accurate differentiation between benign and malignant endometrial lesions holds substantial clinical importance. This study aimed to evaluate the efficacy of various diffusion models in the preoperative diagnosis of early-stage endometrial carcinoma (EC).A total of 72 consecutive patients with benign or malignant endometrial lesions from the First People's Hospital of Yunnan Province were prospectively enrolled between April 2021 and July 2023. Fourteen diffusion parameters derived from monoexponential diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), stretched exponential model (SEM), continuous-time random walk (CTRW), and fractional order calculus (FROC) models were calculated and compared. Independent predictors of early-stage EC were identified using logistic regression analysis. The performance of the diffusion parameters, both individually and in combination with effective clinical indicators, for differentiating benign and malignant endometrial lesions was evaluated.This study consisted of 17 patients with benign endometrial lesions and 55 patients with EC. Significant differences in age and menopausal status were observed between the benign and malignant endometrial groups (P=0.015 and P=0.011, respectively). With the exception of the pseudodiffusion coefficient (D*) and perfusion fraction (f), all other parameters exhibited significant differences between the benign and malignant groups (P<0.05). Mean kurtosis (MK), true diffusion coefficient (D), and temporal diffusion heterogeneity index (αCTRW) were identified as independent predictors of early-stage EC, achieving an area under the curve (AUC) of 0.903 [95% confidence interval (CI): 0.824-0.982], surpassing that of any individual diffusion parameter. The combination of these independent predictors with menopausal status yielded the highest AUC (0.922, 95% CI: 0.845-0.999), accuracy (93.1%), and sensitivity (100.0%).MK, D, and αCTRW have the potential to serve as independent predictors in predicting early-stage EC, and the performance can be enhanced when combined with menopausal status.2025 AME Publishing Company. All rights reserved.
基金:
This work was supported by Basic Research
on Application of Joint Special Funding of Science and
Technology Department of Yunnan Province-Kunming
Medical University (No. 202301AY070001-084) and the
Kunming University of Science and Technology & the First
People’s Hospital of Yunnan Province Joint Special Project
on Medical Research (No. KUST-KH2022027Y).
语种:
外文
PubmedID:
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出版当年[2025]版:
无
最新[2023]版:
大类|2 区医学
小类|3 区核医学
第一作者:
第一作者机构:[1]Department of MRI, the First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
Bi Qiu,Deng Yuchen,Xu Na,et al.Differentiation of early-stage endometrial carcinoma from benign endometrial lesions: a comparative study of six diffusion models[J].Quantitative Imaging In Medicine And Surgery.2025,15(1):121-134.doi:10.21037/qims-24-896.
APA:
Bi Qiu,Deng Yuchen,Xu Na,Wu Shan,Zhang Hongjiang...&Zhang Jie.(2025).Differentiation of early-stage endometrial carcinoma from benign endometrial lesions: a comparative study of six diffusion models.Quantitative Imaging In Medicine And Surgery,15,(1)
MLA:
Bi Qiu,et al."Differentiation of early-stage endometrial carcinoma from benign endometrial lesions: a comparative study of six diffusion models".Quantitative Imaging In Medicine And Surgery 15..1(2025):121-134