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Proceedings Paper

Radiomics versus physician assessment for the early prediction of local cancer recurrence after stereotactic radiotherapy for lung cancer
Author(s): Sarah A. Mattonen; Carol Johnson; David A. Palma; George Rodrigues; Alexander V. Louie; Suresh Senan; Timothy P. C. Yeung; Aaron D. Ward
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Paper Abstract

Stereotactic ablative radiotherapy (SABR) has recently become a standard treatment option for patients with early-stage lung cancer, which achieves local control rates similar to surgery. Local recurrence following SABR typically presents after one year post-treatment. However, benign radiological changes mimicking local recurrence can appear on CT imaging following SABR, complicating the assessment of response. We hypothesize that subtle changes on early post- SABR CT images are important in predicting the eventual incidence of local recurrence and would be extremely valuable to support timely salvage interventions. The objective of this study was to extract radiomic image features on post-SABR follow-up images for 45 patients (15 with local recurrence and 30 without) to aid in the early prediction of local recurrence. Three blinded thoracic radiation oncologists were also asked to score follow-up images as benign injury or local recurrence. A radiomic signature consisting of five image features demonstrated a classification error of 24%, false positive rate (FPR) of 24%, false negative rate (FNR) of 23%, and area under the receiver operating characteristic curve (AUC) of 0.85 at 2–5 months post-SABR. At the same time point, three physicians assessed the majority of images as benign injury for overall errors of 34–37%, FPRs of 0–4%, and FNRs of 100%. These results suggest that radiomics can detect early changes associated with local recurrence which are not typically considered by physicians. We aim to develop a decision support system which could potentially allow for early salvage therapy of patients with local recurrence following SABR.

Paper Details

Date Published: 24 March 2016
PDF: 8 pages
Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97851F (24 March 2016); doi: 10.1117/12.2217236
Show Author Affiliations
Sarah A. Mattonen, Western Univ. (Canada)
Baines Imaging Research Lab., London Regional Cancer Program (Canada)
Carol Johnson, Baines Imaging Research Lab., London Regional Cancer Program (Canada)
David A. Palma, Western Univ. (Canada)
Baines Imaging Research Lab., London Regional Cancer Program (Canada)
George Rodrigues, Western Univ. (Canada)
Alexander V. Louie, Western Univ. (Canada)
Suresh Senan, Vrije Univ. Medical Ctr. (Netherlands)
Timothy P. C. Yeung, Western Univ. (Canada)
Baines Imaging Research Lab., London Regional Cancer Program (Canada)
Aaron D. Ward, Western Univ. (Canada)
Baines Imaging Research Lab., London Regional Cancer Program (Canada)


Published in SPIE Proceedings Vol. 9785:
Medical Imaging 2016: Computer-Aided Diagnosis
Georgia D. Tourassi; Samuel G. Armato, Editor(s)

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