What question did this study set out to answer?

This study aims to evaluate how computed tomography texture analysis can help decide the best treatment for patients with large hepatocellular carcinomas.

February 17, 2016OncotargetOpen Access

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

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This study aims to evaluate how computed tomography texture analysis can help decide the best treatment for patients with large hepatocellular carcinomas.
Performed wavelet decomposition on portal-phase CT images with defined bandwidths.
Extracted nine textural features from defined regions of interest.
Stratified patients based on texture features to determine suitability for liver resection or TACE.
LR+ patients demonstrated the best survival rates, while TACE- patients had worse outcomes.
Wavelet-2-H at filter 1.0 showed strong correlation with survival in LR patients.
Texture analysis indicated TACE was preferable for patients grouped as LR- and TACE+.

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Implication

Randomized trial explores CT texture analysis to determine treatment suitability in liver cancer, indicating improved patient outcomes.

Cite This Study

Li et al. (2016) studied this question.

synapsesocial.com/papers/6a22a0bce4d98b33c2d2b98b https://doi.org/10.18632/oncotarget.7467

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

Key Points

Discussion

Implication

Cite This Study

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

Key Points

Discussion

Implication

Cite This Study

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