Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma

Meng Li; Sirui Fu; Yanjie Zhu; Zaiyi Liu; Shuting Chen; Ligong Lu; Changhong Liang

doi:10.18632/oncotarget.7467

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Clinical Research Papers:

Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma

Meng Li, Sirui Fu, Yanjie Zhu, Zaiyi Liu, Shuting Chen, Ligong Lu and Changhong Liang _

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Oncotarget. 2016; 7:13248-13259. https://doi.org/10.18632/oncotarget.7467

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Abstract

Meng Li1,2,*, Sirui Fu3,*, Yanjie Zhu4, Zaiyi Liu2, Shuting Chen2, Ligong Lu3 and Changhong Liang2

1 Southern Medical University, Guangzhou, China

2 Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

3 Department of Interventional Oncology, Guangdong Provincial Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

4 Shenzhen Institutes of Advanced Technology, Shenzhen, China

* These authors have contributed equally to this manuscript

Correspondence to:

Ligong Lu, email:

Changhong Liang, email:

Keywords: hepatocellular carcinoma, texture analysis, computed tomography, liver resection, transcatheter arterial chemoembolization

Received: November 09, 2015 Accepted: January 27, 2016 Published: February 17, 2016

Abstract

This study explored the potential of computed tomography (CT) textural feature analysis for the stratification of single large hepatocellular carcinomas (HCCs) > 5 cm, and the subsequent determination of patient suitability for liver resection (LR) or transcatheter arterial chemoembolization (TACE). Wavelet decomposition was performed on portal-phase CT images with three bandwidth responses (filter 0, 1.0, and 1.5). Nine textural features of each filter were extracted from regions of interest. Wavelet-2-H (filter 1.0) in LR and wavelet-2-V (filter 0 and 1.0) in TACE were related to survival. Subsequently, LR and TACE patients were divided based on the wavelet-2-H and wavelet-2-V median at filter 1.0 into two subgroups (+ or -). LR+ patients showed the best survival, followed by LR-, TACE+, and TACE-. We estimated that LR+ patients treated using TACE would exhibit a survival similar to TACE- patients and worse than TACE+ patients, with a severe compromise in overall survival. LR was recommended for TACE- patients, whereas TACE was preferred for LR- and TACE+ patients. Independent of tumor size, CT textural features showed positive and negative correlations with survival after LR and TACE, respectively. Although further validation is needed, texture analysis demonstrated the feasibility of using HCC patient stratification for determining the suitability of LR vs. TACE.

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Clinical Research Papers:

Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma

Abstract