An investigation into the range dependence of target delineation strategies for stereotactic lung radiotherapy

• Published in: Radiation oncology (London, England) England), 2017-11, Vol.12 (1), p.166-166, Article 166
• Main Authors: Mohatt, Dennis J, Keim, John M, Greene, Mathew C, Patel-Yadav, Ami, Gomez, Jorge A, Malhotra, Harish K
• Format: Article
• Language: English
• Subjects: Average intensity projection; Benchmarks; Cancer therapies; Care and treatment; CAT scans; Computed tomography; Datasets; Delineation; Dependence; Diagnosis; Dice similarity coefficient; Efficiency; Four dimensional computed tomography; Image processing; Image segmentation; Investigations; Lung cancer; Lungs; Maximum intensity projection; Medical imaging; Movement; Planning; Radiation therapy; Radiotherapy; Statistical analysis; Stereotactic body radiotherapy; Target recognition; Tumors; Workflow
• ISSN: 1748-717X; 1748-717X
• DOI: 10.1186/s13014-017-0907-8

The "gold standard" approach for defining an internal target volume (ITV) is using 10 gross tumor volume (GTV) phases delineated over the course of one respiratory cycle. However, different sites have adopted several alternative techniques which compress all temporal information into one CT image set to optimize work flow efficiency. The purpose of this study is to evaluate alternative target segmentation strategies with respect to the 10 phase gold standard. A Quasar respiratory motion phantom was employed to simulate lung tumor movement. Utilizing 4DCT imaging, a gold standard ITV was created by merging 10 GTV time resolved image sets. Four alternative planed ITV's were compared using free breathing (FB), average intensity projection (AIP), maximum image projection (MIP), and an augmented FB (FB-Aug) set where the ITV included structures from FB plus max-inhale/exhale image sets. Statistical analysis was performed using the Dice similarity coefficient (DSC). Seventeen patients previously treated for lung SBRT were also included in this retroactive study. PTV's derived from the FB image set are the least comparable with the 10 phase benchmark (DSC = 0.740-0.408). For phantom target motion greater than 1 cm, FB and AIP ITV delineation exceeded the 10 phase benchmark by 2% or greater, whereas MIP target segmentation was found to be consistently within 2% agreement with the gold standard (DSC > 0.878). Clinically, however, the FB-Aug method proved to be most favorable for tumor movement up to 2 cm (DSC = 0.881 ± 0.056). Our results indicate the range of tumor motion dictates the accuracy of the defined PTV with respect to the gold standard. When considering delineation efficiency relative to the 10 phase benchmark, the FB-Aug technique presents a potentially proficient and viable clinical alternative. Among various techniques used for image segmentation, a judicious balance between accuracy and efficiency is inherently required to account for tumor trajectory, range and rate of mobility.