Computer-aided beam arrangement based on similar cases in radiation treatment-planning databases for stereotactic lung radiation therapy

• Published in: Journal of radiation research Vol. 54; no. 3; pp. 569 - 577
• Main Authors: Magome, Taiki, Arimura, Hidetaka, Shioyama, Yoshiyuki, Mizoguchi, Asumi, Tokunaga, Chiaki, Nakamura, Katsumasa, Honda, Hiroshi, Ohki, Masafumi, Toyofuku, Fukai, Hirata, Hideki
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01-05-2013
• Subjects: Adult; Aged; Aged, 80 and over; Beams (radiation); Cancer; Database Management Systems; Databases, Factual; Education; Humans; Information Storage and Retrieval - methods; Japan; Lung cancer; Lung Neoplasms - radiotherapy; Lungs; Middle Aged; Positioning; Radiation (Physics); Radiation therapy; Radiometry - methods; Radiosurgery - methods; Radiotherapy; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted - methods; Radiotherapy, Computer-Assisted - methods; Spinal cord; Surgery, Computer-Assisted - methods; Technology; User-Computer Interface; Japan; stereotactic lung radiotherapy; similar planning cases; computer-assisted method; beam arrangements; radiotherapy treatment planning
• ISSN: 0449-3060; 1349-9157
• DOI: 10.1093/jrr/rrs123

The purpose of this study was to develop a computer-aided method for determination of beam arrangements based on similar cases in a radiotherapy treatment-planning database for stereotactic lung radiation therapy. Similar-case-based beam arrangements were automatically determined based on the following two steps. First, the five most similar cases were searched, based on geometrical features related to the location, size and shape of the planning target volume, lung and spinal cord. Second, five beam arrangements of an objective case were automatically determined by registering five similar cases with the objective case, with respect to lung regions, by means of a linear registration technique. For evaluation of the beam arrangements five treatment plans were manually created by applying the beam arrangements determined in the second step to the objective case. The most usable beam arrangement was selected by sorting the five treatment plans based on eight plan evaluation indices, including the D95, mean lung dose and spinal cord maximum dose. We applied the proposed method to 10 test cases, by using an RTP database of 81 cases with lung cancer, and compared the eight plan evaluation indices between the original treatment plan and the corresponding most usable similar-case-based treatment plan. As a result, the proposed method may provide usable beam arrangements, which have no statistically significant differences from the original beam arrangements (P > 0.05) in terms of the eight plan evaluation indices. Therefore, the proposed method could be employed as an educational tool for less experienced treatment planners.