CT texture analysis in colorectal liver metastases: A better way than size and volume measurements to assess response to chemotherapy?

Abstract

Relative differences in CT texture occurring after treatment hold promise to assess the pathologic response to chemotherapy in patients with CRLMs and may be better predictors of response than changes in lesion size or volume.

Computed Tomography Measures of Inter-site tumor Heterogeneity for Classifying Outcomes in High-Grade Serous Ovarian Carcinoma: a Retrospective Study

“…Texture analysis of CT data is a 15 radiomics method [9][10][11] that can provide detailed quantitative characterization of local 16 variations in intensity levels throughout an image. Texture measures are computed from 17 regions of interest (ROI) drawn to delineate tumors on cross-sectional images. The local 18 texture can be measured using Haralick methods that quantify the second order intensity 19 variation within an ROI and other high-order features based on grey-level matrices [12].…”

“…The local 18 texture can be measured using Haralick methods that quantify the second order intensity 19 variation within an ROI and other high-order features based on grey-level matrices [12]. 20 Radiomics methods have been applied to evaluate intra-tumor heterogeneity based on a 21 single site of disease per patient in primary tumors [9,[13][14][15][16] and metastatic 22 disease [17][18][19]. However, a summary CT texture value for a single tumor site does not 23 capture the potential variability between different regions within the tumor and between 24 multiple tumor sites in the same patient.…”

Application and Progress of Texture Analysis in the Therapeutic Effect Prediction and Prognosis of Neoadjuvant Chemoradiotherapy for Colorectal Cancer

“…[25] Texture analysis technique can quantify the liver parenchyma so that provide more information about chemotherapy-induced changes. [26] In recent years, texture analysis has been confirmed to be helpful in predicting the response to chemotherapy for colorectal liver metastases. Rao et al [26] found relative differences after chemotherapy in Entropy and Uniformity (without filtration) in CT texture analysis may be better predictors of response to chemotherapy therapeutic effect in patients with colorectal liver metastases.…”

“…[26] In recent years, texture analysis has been confirmed to be helpful in predicting the response to chemotherapy for colorectal liver metastases. Rao et al [26] found relative differences after chemotherapy in Entropy and Uniformity (without filtration) in CT texture analysis may be better predictors of response to chemotherapy therapeutic effect in patients with colorectal liver metastases. Non-responders showed increased Entropy and decreased Uniformity compared to responders in pre-treatment portal venous phase CT examination.…”

Background, current role, and potential applications of radiogenomics

“…CT texture analysis has been applied to patients with colorectal liver metastases, to investigate correlations with tumor grade, tumor response, or to predict recurrent disease. [47][48][49][50] Given the increasing number of patients with colorectal liver metastases undergoing locoregional therapies as well as liver resections with a wide range of outcomes, further investigations into the role of radiogenomics in this population are warranted.…”