Use of biexponential and stretched exponential models of intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging to assess the proliferation of endometrial carcinoma

Gaiyun Zhang; Ruifang Yan; Wangyi Liu; Xingxing Jin; Xuejia Wang; Hongxia Wang; Zhong Li; Jie Shang; Kaiyu Wang; Jinxia Guo; Dongming Han

doi:10.21037/qims-22-688

Use of biexponential and stretched exponential models of intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging to assess the proliferation of endometrial carcinoma

Quant Imaging Med Surg. 2023 Apr 1;13(4):2568-2581. doi: 10.21037/qims-22-688. Epub 2023 Feb 16.

Authors

Gaiyun Zhang^#¹, Ruifang Yan^#¹, Wangyi Liu^#¹, Xingxing Jin^#¹, Xuejia Wang¹, Hongxia Wang¹, Zhong Li¹, Jie Shang², Kaiyu Wang³, Jinxia Guo³, Dongming Han¹

Affiliations

¹ Department of Magnetic Resonance, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
² Department of Pathology, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
³ Magnetic Resonance Research China, GE Healthcare, Beijing, China.

^# Contributed equally.

Abstract

Background: It is important to assess the proliferation of endometrial carcinoma (EC) noninvasively using imaging methods. This prospective diagnostic study investigated the value of biexponential and stretched exponential models of intravoxel incoherent motion (IVIM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting the Ki-67 status of EC.

Methods: In all, 70 patients with EC underwent pelvic MRI. The diffusion coefficient (D), pseudo diffusion coefficient (D*), perfusion fraction (f), distributed diffusion coefficient (DDC), water molecular diffusion heterogeneity index (α), volume transfer constant (K^trans), rate transfer constant (K_ep), and volume of extravascular extracellular space per unit volume of tissue (V_e) were compared. The area under the receiver operating characteristic (ROC) curve (AUC) was used to quantify diagnostic efficacy. Multivariate logistic regression and bootstrap (1,000 samples) analyses were used to establish and evaluate, respectively, the optimal model to predict Ki-67 status.

Results: D, K^trans, and K_ep were lower while α was higher in the high-proliferation group as compared with low-proliferation group (all P values<0.05). D and K_ep were independent predictors of Ki-67 status in EC, and the combination of these parameters had optimal diagnostic efficacy (AUC =0.920; sensitivity 85.71%; specificity 89.29%), which was significantly better than that of D (AUC =0.753; Z=2.874; P=0.004), α (AUC =0.715; Z=3.505; P=0.001), K^trans (AUC =0.808; Z=2.741; P=0.006), and K_ep (AUC =0.832; Z=2.147; P=0.032) alone. The validation model showed good accuracy (AUC =0.882; 95% confidence interval 0.861-0.897) and consistency (C-statistic =0.902). D, K_ep, K^trans, and α showed a slightly negative (r=-0.271), moderately negative (r=-0.534), slightly negative (r=-0.409), and slightly positive (r=0.488) correlation with the Ki-67 index, respectively (all P values <0.05).

Conclusions: IVIM- and DCE-MRI-derived parameters, including D, α, K^trans, and K_ep, were associated with Ki-67 status in EC, and the combination of D and K_ep may serve as a superior imaging marker for the identification of low- and high-proliferation EC.

Keywords: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI); endometrial carcinoma (EC); intravoxel incoherent motion (IVIM); proliferation status.