Abstract
Purpose/Objective(s): Radiation therapy in lung cancer relies on CT and functional imaging (FDG-PET) to delineate tumor volumes. Semi-automatic contouring tools have been developed for PET to improve on the inter-observer bias of manual contouring and intrinsic differences in imaging equipment. A common method involves using a threshold at a given percentage of the max activity, which may be less accurate with smaller tumors and tumors with low source to background ratio. To overcome this deficiency, a gradient algorithm, which detects changes in image counts at the border of the tumor, has been developed. Few studies have correlated these methods to pathological specimens.
American Society for Therapeutic Radiation Oncology (ASTRO) 52nd Annual Meeting October 31 - November 4, San Diego, CA
Recommended Citation
Fogh, S. E.; Farach, A.; Intenzo, C.; Axelrod, R.; McCue, P.; Harper, A.; Nelson, A.; and Werner-Wasik, M
(2010)
"Pathologic Correlation of PET-CT Based Auto Contouring for Radiation Planning in Lung Cancer,"
Bodine Journal: Vol. 3:
Iss.
1, Article 30.
DOI: https://doi.org/10.29046/TBJ.003.1.029
Available at:
https://jdc.jefferson.edu/bodinejournal/vol3/iss1/30