Volume 15 Supplement 1
Quantification of tumour heterogeneity and glucose metabolism on pre-chemoradiation PET/CT predicts survival in anal cancer
© Afaq et al. 2015
Published: 2 October 2015
To investigate CT Texture Analysis (CTTA, marker of tumour heterogeneity) and metabolic information from PET as potential prognostic biomarkers in patients with anal squamous cell carcinoma (SCC) treated with chemoradiotherapy (CRT).
42 patients (median age 60.2 years, range 36.8-80.2; 19 males) with anal SCC, who received CRT with pre-treatment 18F-FDG PET/CT were retrospectively reviewed. CTTA was performed on the largest tumour diameter CT image using TexRAD software. CTTA used a filtration-histogram technique, extracting fine, medium and coarse texture features, followed by quantification of histogram parameters. SUVmax, metabolic tumour volume(MTV) and total lesion glycolysis(TLG) were measured using Metavol software. Mean follow-up period was 39.6 months. Kaplan-Meier analysis assessed the relationships between CTTA, PET and clinical parameters against progression free survival (PFS) and overall survival (OS).
Mean PFS was 65.6 months (95% CI:55.0-76.1) and mean OS was 73.0 (95% CI:63.9-82.2) months.
Higher pre-treatment CTTA kurtosis was consistently a significant predictor of PFS and OS respectively (best at medium-scale: p=0.007, p=0.022).
PET and clinical parameters significantly predicted PFS and OS respectively included SUVmax (p=0.0138, p=0.0038), MTV(p=0.0049, p=0.005), TLG (p=0.0027, p=0.0011), tumour stage (p=0.01, p=0.0003) and nodal stage (p=0.002, p=0.0003).
This study identified kurtosis, as a marker of tumour heterogeneity on pre-treatment CTTA was associated with poorer OS and PFS. SUVmax, MTV and TLG were also all predictors of poorer survival as were higher stage tumours. A multi-parametric approach with these features may provide prognostic information in patients with anal SCC undergoing treatment with chemoradiotherapy.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.