Abstract 103P
Background
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).
Methods
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.
Results
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.
Conclusions
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.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
381P - XKR8 is a promising potential prognostic marker in glioblastoma multiforme patients
Presenter: Kristina Havrysh
Session: Poster display session
Resources:
Abstract
383P - Screening of prognostic molecular biomarker for resectable pancreatic cancer
Presenter: Yonggang Peng
Session: Poster display session
Resources:
Abstract
384P - Prevalence of abnormal microsatellite instability test among ovary and endometrial cancer patients
Presenter: Min Kyu Kim
Session: Poster display session
Resources:
Abstract
385P - Identifying CASP8 polymorphisms associated with breast cancer risk in an Iranian population
Presenter: Alireza Pasdar
Session: Poster display session
Resources:
Abstract
386P - Unusual folding of NaPi2b transporter extramembrane domain 4 during malignant transformation
Presenter: Leysan Minigulova
Session: Poster display session
Resources:
Abstract
387P - 5-years conditional disease free survival and overall survival for breast cancer patients in South Korea
Presenter: Jee hyun Ahn
Session: Poster display session
Resources:
Abstract
388P - To identify circulating tumour cells by machine learning approach
Presenter: Yuebin Liang
Session: Poster display session
Resources:
Abstract
389P - The establishment of patient-derived organoid models and drug response of resectable non-small cell lung cancer
Presenter: Jing-Hua Chen
Session: Poster display session
Resources:
Abstract
395P - Filipinos and lung cancer: An infodemiological assessment using Google trends from 2009 to 2019
Presenter: Lance Isidore Catedral
Session: Poster display session
Resources:
Abstract
396P - Determinants of visiting a referral hospital for cervical cancer screening at Uganda Cancer Institute
Presenter: Collins Mpamani
Session: Poster display session
Resources:
Abstract