Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: Computed tomography (CT) texture analysis as a potential biomarker

Goh, Vicky, Ganeshan, Balaji, Nathan, Paul, Juttla, Jaspal K., Vinayan, Anup and Miles, Kenneth A. (2011) Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: Computed tomography (CT) texture analysis as a potential biomarker. Radiology, 261 (1). pp. 165-171. ISSN 0033-8419

Full text not available from this repository.

Abstract

Purpose:
To assess changes in tumor computed tomographic (CT) texture after two cycles of treatment with tyrosine kinase inhibitors (TKIs) and to determine if tumor texture correlates with measured time to progression in patients with metastatic renal cell cancer who received TKIs.
Materials and Methods:
A waiver of institutional review board approval was obtained for this retrospective analysis. Contrast material-enhanced CT texture parameters were assessed in 39 patients with metastatic renal cell cancer who received a TKI. A total of 87 metastases were analyzed at baseline and after two treatment cycles. Changes in tumor entropy and uniformity were derived with a software algorithm that selectively filters and extracts texture at different scales (fine to coarse detail: 1.0-2.5) and were recorded. Response assessment was also obtained by using response evaluation criteria in solid tumors (RECIST), as well as Choi and modified Choi criteria. The correlation of texture parameters and standard criteria with measured time to progression was assessed by using Kaplan-Meier analysis and a Cox regression model. Statistical significance was set at 5%.
Results:
Tumor entropy decreased by 3%-45% and uniformity increased by 5%-21% for the different scale values after administration of a TKI. With a threshold change of -2% or less for uniformity at a coarse scale value of 2.5, Kaplan-Meier curves of the proportion of patients without disease progression were significantly different and better than those for standard response assessment (P = .008 vs P = .267, P = .053, and P = .042 for RECIST, Choi, and modified Choi criteria, respectively). Cox regression analysis showed that texture uniformity was an independent predictor of time to progression (odds ratio, 4.02; 95% confidence interval: 1.52, 10.65; P = .005).
Conclusion:
CT texture analysis reflecting tumor heterogeneity is an independent factor associated with time to progression and has potential as a predictive imaging biomarker of response of metastatic renal cancer to targeted therapy.

Item Type: Article
Schools and Departments: School of Mathematical and Physical Sciences > Mathematics
School of Engineering and Informatics > Engineering and Design
Brighton and Sussex Medical School > Clinical and Experimental Medicine
Subjects: R Medicine > R Medicine (General) > R895 Medical physics. Medical radiology. Nuclear medicine
Depositing User: Grecia GarciaGarcia
Date Deposited: 03 Apr 2012 10:42
Last Modified: 05 Oct 2017 18:26
URI: http://sro.sussex.ac.uk/id/eprint/7188
📧 Request an update