Consideration of transmembrane water exchange in pharmacokinetic model significantly improves the accuracy of DCE-MRI in estimating cellular density: A pilot study in glioblastoma multiforme

Zhenfeng Pang; Zejun Wang; Bao Wang; Kaiyue Guo; Cheng Meng; Yingchao Liu; Xueqian Kong; Ruiliang Bai

Magnetic Resonance Letters (Nov 2022)

Consideration of transmembrane water exchange in pharmacokinetic model significantly improves the accuracy of DCE-MRI in estimating cellular density: A pilot study in glioblastoma multiforme

Zhenfeng Pang,
Zejun Wang,
Bao Wang,
Kaiyue Guo,
Cheng Meng,
Yingchao Liu,
Xueqian Kong,
Ruiliang Bai

Affiliations

Zhenfeng Pang: Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China; Center for Chemistry of High-Performance & Novel Materials, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
Zejun Wang: Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China; Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, 310058, China; Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310058, China
Bao Wang: Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, China
Kaiyue Guo: Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
Cheng Meng: Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
Yingchao Liu: Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China; Corresponding author.
Xueqian Kong: Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China; Center for Chemistry of High-Performance & Novel Materials, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China; Chemistry Instrumentation Center for Zhejiang University, Hangzhou, 310058, China; Corresponding author.
Ruiliang Bai: Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China; Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, 310058, China; Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310058, China; MOE Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, 310058, China; Corresponding author.

Journal volume & issue: Vol. 2, no. 4
pp. 243 – 254

Abstract

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Transmembrane water exchange (TWE) including transcytolemmal water exchange and transvascular water exchange is involved in many in vivo measurements and makes different contributions to the measuring results. In this study, we focus on the potential influence of TWE on the cell density parameter, intracellular water mole fraction pi, derived by dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) which has been reported as a technique to characterize perfusion and vascularization of tissues, but its accuracy in measuring cell density (or interstitial space) has been questioned. Sixteen patients with glioblastoma multiforme (GBM) were enrolled since GBM shows strong intratumor heterogeneity in both cell density and TWE. All the subjects were collected with DCE-MRI and apparent diffusion coefficient (ADC) map. The latter was considered as a valid surrogate of cell density. Extended Tofts (eTofts) model considering TWE as infinitely large variables and shutter-speed model (SSM) considering TWE as finite ones were used to fit DCE-MRI data. Monte Carlo (MC) and finite difference (FD) methods were used to simulate the influence of TWE on DCE-MRI-derived pi and ADC, respectively. The eTofts model shows a significant overestimation of pi in comparison with SSM in GBM (P 0.05) and a weaker inter-subject negative correlation (r = −0.56, P = 0.02) were found between ADC and eTofts-derived pi. Further experimental and FD results revealed that kio made a limited contribution to ADC values in the physiological kio range in GBM, supporting ADC as a valid biomarker of cell density. These results suggest that the DCE-MRI pharmacokinetic shutter-speed model could significantly improve its accuracy in cell density estimation because of the considering transmembrane water exchange.

Published in Magnetic Resonance Letters

ISSN: 2097-0048 (Print); 2772-5162 (Online)
Publisher: KeAi Communications Co. Ltd.
Country of publisher: China
LCC subjects: Science: Chemistry: Physical and theoretical chemistry; Science: Chemistry: Analytical chemistry
Website: https://www.keaipublishing.com/en/journals/magnetic-resonance-letters/

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