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Poster display session

103P - Contrast-enhanced CT-based textural parameters as potential prognostic factors of survival for colorectal cancer patients receiving targeted therapy


23 Nov 2019


Poster display session


Tumour Site

Colon and Rectal Cancer


Yanfei Yang


Annals of Oncology (2019) 30 (suppl_9): ix30-ix41. 10.1093/annonc/mdz421


Y. Yang1, J. Yang2

Author affiliations

  • 1 Department Of Gynaecology And Obstetrics, West China Medical Center of Sichuan University, 610041 - Chengdu/CN
  • 2 State Key Laboratory Of Biotherapy And Cancer Center, West China Hospital of Sichuan University, 610041 - Chengdu/CN


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Abstract 103P


Texture analysis is used to assess the homogeneous or nonhomogenous information of the selected regions, and provides many quantitative and semiquantitative parameters that are able to closely reflect the characteristics of cancer lesions. This study was designed to estimate the clinical significance of the contrast-enhanced computed tomograpgy (CT) textural features for prediction of survival in colorectal cancer (CRC) patients receiving targeted therapy (bevacizumab and cetuximab).


The LifeX software was used to extract the textural parameters of the tumor lesions in the contrast-enhanced CT. Univariate and multivariate analyses using the Cox proportional hazards model were performed to assess the prognostic value of textural parameters.


Eighty CRC patients receiving targeted therapy (bevacizumab 42; cetuximab 38) were included. In the multivariate analysis, 8 textural parameters were revealed to be independent predictors (p < 0.05) of progression-free survival (PFS) and overall survival (OS), including Skewness, Kurtosis, Homogeneity, Energy and Entropy of Gray-level co-occurrence matrix (GLCM), Long-run emphasis (LRE), Long-run high gray-level emphasis (LRHGE), and Contrast. Furthermore, Sphericity, Compacity, Long-run low gray-level emphasis (LRLGE), Low gray-level zone emphasis (LGZE) and Short-zone low gray-level emphasis (SZLGE) were show to be significantly associated with PFS, while Entropy-Histogram and Energy-Histogram, Dissimilarty, Short-run emphasis (SRE), Short-run low gray-level emphasis (SRLGE), Run percentage (RP), Long-zone emphasis (LZE), Long-zone low gray-level emphasis (LZLGE) and Long-zone high gray-level emphasis (LZHGE) were significantly associated with OS.


In conclusion, our study provides preliminary evidences that several radiomic parameters of tumor lesions derived from CT images were prognostic factors and predictive markers for CRC patients who are candidates for targeted therapy (bevacizumab and cetuximab).

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.


Has not received any funding.


All authors have declared no conflicts of interest.

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