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European Radiology
Published in: European Radiology 1/2019

01-01-2019 | Magnetic Resonance

Pre-TACE kurtosis of ADCtotal derived from histogram analysis for diffusion-weighted imaging is the best independent predictor of prognosis in hepatocellular carcinoma

Authors: Li-Fang Wu, Sheng-Xiang Rao, Peng-Ju Xu, Li Yang, Cai-Zhong Chen, Hao Liu, Jian-Feng Huang, Cai-Xia Fu, Alice Halim, Meng-Su Zeng

Published in: European Radiology | Issue 1/2019

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Abstract

Purpose

To determine the feasibility of pre-TACE IVIM imaging based on histogram analysis for predicting prognosis in the treatment of unresectable hepatocellular carcinoma (HCC).

Materials and methods

Fifty-five patients prospectively underwent 1.5T MRI 1 week before TACE. Histogram metrics for IVIM parameters and ADCs maps between responders and non-responders with mRECIST assessment were compared. Kaplan–Meier, log-rank tests and Cox proportional hazard regression model were used to correlate variables with time to progression (TTP).

Results

Mean (p = 0.022), median (p = 0.043), and 25th percentile (p < 0.001) of perfusion fraction (PF), mean (p < 0.001), median (p < 0.001), 25th percentile (p < 0.001) and 75th percentile (p = 0.001) of ADC(0,500), mean (p = 0.005), median (p = 0.008) and 25th percentile (p = 0.039) of ADCtotal were higher, while skewness and kurtosis of PF (p = 0.001, p = 0.005, respectively), kurtosis of ADC(0,500) and ADCtotal (p = 0.005, p = 0.001, respectively) were lower in responders compared to non-responders. Multivariable analysis demonstrated that mRECIST was associated with TTP independently, and kurtosis of ADCtotal had the best predictive performance for disease progression.

Conclusion

Pre-TACE kurtosis of ADCtotal is the best independent predictor for TTP.

Key Points

• mRECIST was associated with TTP independently.
• Lower kurtosis and higher mean for ADCs tend to have good response.
• Pre-TACE kurtosis of ADC total is the best independent predictor for TTP.
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Metadata
Title
Pre-TACE kurtosis of ADCtotal derived from histogram analysis for diffusion-weighted imaging is the best independent predictor of prognosis in hepatocellular carcinoma
Authors
Li-Fang Wu
Sheng-Xiang Rao
Peng-Ju Xu
Li Yang
Cai-Zhong Chen
Hao Liu
Jian-Feng Huang
Cai-Xia Fu
Alice Halim
Meng-Su Zeng
Publication date
01-01-2019
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 1/2019
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-018-5482-3

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