1. Determination of hepatic extraction fraction with gadoxetate low‐temporal resolution DCE‐MRI‐based deconvolution analysis: validation with ALBI score and Child‐Pugh class
- Author
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Monchai Phonlakrai, Saadallah Ramadan, John Simpson, Neda Gholizadeh, Jameen Arm, Kate Skehan, Jonathan Goodwin, Yuvnik Trada, Jarad Martin, Swetha Sridharan, Bishnu Lamichhane, Steven Bollipo, and Peter Greer
- Subjects
DCE‐MRI ,gadoxetate ,hepatic extraction fraction ,liver function ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Introduction In this study, we aimed to investigate the feasibility of gadoxetate low‐temporal resolution (LTR) DCE‐MRI for voxel‐based hepatic extraction fraction (HEF) quantification for liver sparing radiotherapy using a deconvolution analysis (DA) method. Methods The accuracy and consistency of the deconvolution implementation in estimating liver function was first assessed using simulation data. Then, the method was applied to DCE‐MRI data collected retrospectively from 64 patients (25 normal liver function and 39 cirrhotic patients) to generate HEF maps. The normal liver function patient data were used to measure the variability of liver function quantification. Next, a correlation between HEF and ALBI score (a new model for assessing the severity of liver dysfunction) was assessed using Pearson's correlation. Differences in HEF between Child‐Pugh score classifications were assessed for significance using the Kruskal–Wallis test for all patient groups and Mann–Whitney U‐test for inter‐groups. A statistical significance was considered at a P‐value
- Published
- 2023
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