A Comparative Study of Two-Compartment Exchange Models for Dynamic Contrast-Enhanced MRI in Characterizing Uterine Cervical Carcinoma
Joint Authors
Wang, Xue
Lin, Wenxiao
Mao, Yiting
Peng, Wenwen
Song, Jiao
Lu, Yi
Zhao, Yu
Koh, Tong San
Hou, Zujun
Yan, Zhihan
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A variety of tracer kinetic methods have been employed to assess tumor angiogenesis.
The Standard two-Compartment model (SC) used in cervix carcinoma was less frequent, and Adiabatic Approximation to the Tissue Homogeneity (AATH) and Distributed Parameter (DP) model are lacking.
This study compares two-compartment exchange models (2CXM) (AATH, SC, and DP) for determining dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters in cervical cancer, with the aim of investigating the potential of various parameters derived from 2CXM for tumor diagnosis and exploring the possible relationship between these parameters in patients with cervix cancer.
Parameters (tissue blood flow, Fp; tissue blood volume, Vp; interstitial volume, Ve; and vascular permeability, PS) for regions of interest (ROI) of cervix lesions and normal cervix tissue were estimated by AATH, SC, and DP models in 36 patients with cervix cancer and 17 healthy subjects.
All parameters showed significant differences between lesions and normal tissue with a P value less than 0.05, except for PS from the AATH model, Fp from the SC model, and Vp from the DP model.
Parameter Ve from the AATH model had the largest AUC (r = 0.85).
Parameters Fp and Vp from SC and DP models and Ve and PS from AATH and DP models were highly correlated, respectively, (r > 0.8) in cervix lesions.
Cervix cancer was found to have a very unusual microcirculation pattern, with over-growth of cancer cells but without evident development of angiogenesis.
Ve has the best performance in identifying cervix cancer.
Most physiological parameters derived from AATH, SC, and DP models are linearly correlated in cervix cancer.
American Psychological Association (APA)
Wang, Xue& Lin, Wenxiao& Mao, Yiting& Peng, Wenwen& Song, Jiao& Lu, Yi…[et al.]. 2019. A Comparative Study of Two-Compartment Exchange Models for Dynamic Contrast-Enhanced MRI in Characterizing Uterine Cervical Carcinoma. Contrast Media & Molecular Imaging،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130216
Modern Language Association (MLA)
Wang, Xue…[et al.]. A Comparative Study of Two-Compartment Exchange Models for Dynamic Contrast-Enhanced MRI in Characterizing Uterine Cervical Carcinoma. Contrast Media & Molecular Imaging No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1130216
American Medical Association (AMA)
Wang, Xue& Lin, Wenxiao& Mao, Yiting& Peng, Wenwen& Song, Jiao& Lu, Yi…[et al.]. A Comparative Study of Two-Compartment Exchange Models for Dynamic Contrast-Enhanced MRI in Characterizing Uterine Cervical Carcinoma. Contrast Media & Molecular Imaging. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1130216
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130216