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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

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 m...

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Autores principales: Zhang, Gaiyun, Yan, Ruifang, Liu, Wangyi, Jin, Xingxing, Wang, Xuejia, Wang, Hongxia, Li, Zhong, Shang, Jie, Wang, Kaiyu, Guo, Jinxia, Han, Dongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102783/
https://www.ncbi.nlm.nih.gov/pubmed/37064373
http://dx.doi.org/10.21037/qims-22-688
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author Zhang, Gaiyun
Yan, Ruifang
Liu, Wangyi
Jin, Xingxing
Wang, Xuejia
Wang, Hongxia
Li, Zhong
Shang, Jie
Wang, Kaiyu
Guo, Jinxia
Han, Dongming
author_facet Zhang, Gaiyun
Yan, Ruifang
Liu, Wangyi
Jin, Xingxing
Wang, Xuejia
Wang, Hongxia
Li, Zhong
Shang, Jie
Wang, Kaiyu
Guo, Jinxia
Han, Dongming
author_sort Zhang, Gaiyun
collection PubMed
description 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.
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spelling pubmed-101027832023-04-15 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 Zhang, Gaiyun Yan, Ruifang Liu, Wangyi Jin, Xingxing Wang, Xuejia Wang, Hongxia Li, Zhong Shang, Jie Wang, Kaiyu Guo, Jinxia Han, Dongming Quant Imaging Med Surg Original Article 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. AME Publishing Company 2023-02-16 2023-04-01 /pmc/articles/PMC10102783/ /pubmed/37064373 http://dx.doi.org/10.21037/qims-22-688 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zhang, Gaiyun
Yan, Ruifang
Liu, Wangyi
Jin, Xingxing
Wang, Xuejia
Wang, Hongxia
Li, Zhong
Shang, Jie
Wang, Kaiyu
Guo, Jinxia
Han, Dongming
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102783/
https://www.ncbi.nlm.nih.gov/pubmed/37064373
http://dx.doi.org/10.21037/qims-22-688
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