Evaluation of atlas based auto-segmentation for head and neck target volume delineation in adaptive/replan IMRT

17th International Conference on the Use of Computers in Radiation Therapy

物理学;计算机科学

Speight, R.^1 ; Karakaya, E.^2 ; Prestwich, R.^3 ; Sen, M.^3 ; Lindsay, R.^1 ; Harding, R.^1 ; Sykes, J.^1,4

Department of Medical Physics, St. James's Institute of Oncology, Leeds, United Kingdom^1

Dr. A.Y. Ankara Oncology Education and Research Hospital, Ankara, Turkey^2

Department of Clinical Oncology, St. James's Institute of Oncology, Leeds, United Kingdom^3

Institute of Medical Physics, University of Sydney, Crown Princess Mary Cancer Centre, Sydney, Australia^4

关键词: Auto segmentation;    Clinical target volumes;    Deformable image registration;    Interobserver variability;    Intra-observer variability;    Mean distances;    Similarity coefficients;    Target volume delineation;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/489/1/012060/pdf
DOI  :  10.1088/1742-6596/489/1/012060

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

IMRT for head and neck patients requires clinicians to delineate clinical target volumes (CTV) on a planning-CT (>2hrs/patient). When patients require a replan-CT, CTVs must be re-delineated. This work assesses the performance of atlas-based autosegmentation (ABAS), which uses deformable image registration between planning and replan-CTs to auto-segment CTVs on the replan-CT, based on the planning contours. Fifteen patients with planning-CT and replan-CTs were selected. One clinician delineated CTVs on the planning-CTs and up to three clinicians delineated CTVs on the replan-CTs. Replan-CT volumes were auto-segmented using ABAS using the manual CTVs from the planning-CT as an atlas. ABAS CTVs were edited manually to make them clinically acceptable. Clinicians were timed to estimate savings using ABAS. CTVs were compared using dice similarity coefficient (DSC) and mean distance to agreement (MDA). Mean inter-observer variability (DSC>0.79 and MDA0.91 and MDA