Dynamic Contrast-Enhanced Texture Analysis of the Liver

Abstract

DCE-TA is a potentially useful adjunct to DCE-CT warranting further investigation.

Assessment of Primary Colorectal Cancer Heterogeneity by Using Whole-Tumor Texture Analysis: Contrast-enhanced CT Texture as a Biomarker of 5-year Survival

“…In a study of 17 patients with non-small cell lung cancer, unenhanced CT texture analysis coarse texture uniformity also correlated negatively with tumor stage (16); however, uniformity correlated negatively with the standardized uptake value. Other studies focusing on hepatic texture in patients with colorectal cancer have found a more heterogeneous liver texture at coarse textures is related to the presence of occult malignancy and a poorer prognosis (17,18).…”

Prognostic Value of Computed Tomography Texture Features in Non–Small Cell Lung Cancers Treated With Definitive Concomitant Chemoradiotherapy

“…Several previous studies have suggested that these CT texture features may be useful in predicting the clinical outcomes in oncology patients. 4,[6][7][8][9][10]19 In addition, among these texture features, entropy, which reflects the unpredictability of the information content of an image, has been considered to be one of the representative parameters of tumor heterogeneity. 20 In a study by Zhang et al, 8 they reported that increased entropy and skewness on contrast CT images were associated with reduced OS in patients with locally advanced head and neck cancer.…”

“…Texture analysis assessed on contrast-enhanced CT may be affected by a number of variables. It has previously been shown that pixel values can be influenced by the CT scanners and imaging parameters used, 19 and that for contrast-enhanced CT, the injection rate of contrast media can also affect pixel values. In addition, CT parameters including a large field of view and thick slice thickness (5 mm) can be regarded as suboptimal from a radiologic perspective as it is designed to help plan radiation therapy.…”

Quantitative Imaging in Radiation Oncology: An Emerging Science and Clinical Service

“…investigated the use of texture analysis to reveal underlying patterns of change, but with varying degrees of success and rooted in conventional DCE-CT technology (Ganeshan, Burnand et al 2011;Rasmussen 2013).…”