Comparative study of the collapsed cone convolution and Monte Carlo algorithms for radiation therapy planning of canine sinonasal tumors reveals significant dosimetric differences

Computer‐based radiation therapy requires high targeting and dosimetric precision. Analytical dosimetric algorithms typically are fast and clinically viable but can have increasing errors near air‐bone interfaces. These are commonly found within dogs undergoing radiation planning for sinonasal cance...

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Vydané v:Veterinary radiology & ultrasound Ročník 63; číslo 1; s. 91 - 101
Hlavní autori: Lee, Ber‐In, Boss, Mary‐Keara, LaRue, Susan M., Martin, Tiffany, Leary, Del
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England 01.01.2022
Predmet:
air‐bone interface
Algorithms
Animals
arc therapy
brain
comparative study
Dog Diseases - radiotherapy
Dogs
dosimetry
Lung Neoplasms - veterinary
model‐based algorithm
neoplasms
radiation oncology
radiology
Radiosurgery - veterinary
radiotherapy
Radiotherapy Dosage - veterinary
Radiotherapy Planning, Computer-Assisted - veterinary
Retrospective Studies
risk
stereotactic body radiation therapy
ultrasonics
radiation oncology
air-bone interface
arc therapy
model-based algorithm
stereotactic body radiation therapy
ISSN:1058-8183, 1740-8261, 1740-8261
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Popis
Shrnutí:Computer‐based radiation therapy requires high targeting and dosimetric precision. Analytical dosimetric algorithms typically are fast and clinically viable but can have increasing errors near air‐bone interfaces. These are commonly found within dogs undergoing radiation planning for sinonasal cancer. This retrospective methods comparison study is designed to compare the dosimetry of both tumor volumes and organs at risk and quantify the differences between collapsed cone convolution (CCC) and Monte Carlo (MC) algorithms. Canine sinonasal tumor plans were optimized with CCC and then recalculated by MC with identical control points and monitor units. Planning target volume (PTV)air, PTVsoft tissue, and PTVbone were created to analyze the dose discrepancy within the PTV. Thirty imaging sets of dogs were included. Monte Carlo served as the gold standard calculation for the dosimetric comparison. Collapsed cone convolution overestimated the mean dose (Dmean) to PTV and PTVsoft tissue by 0.9% and 0.5%, respectively (both P < 0.001). Collapsed cone convolution overestimated Dmean to PTVbone by 3% (P < 0.001). Collapsed cone convolution underestimated the near‐maximum dose (D2) to PTVair by 1.1% (P < 0.001), and underestimated conformity index and homogeneity index in PTV (both P < 0.001). Mean doses of contralateral and ipsilateral eyes were overestimated by CCC by 1.6% and 1.7%, respectively (both P < 0.001). Near‐maximum doses of skin and brain were overestimated by CCC by 2.2% and 0.7%, respectively (both P < 0.001). As clinical accessibility of Monte Carlo becomes more widespread, dose constraints may need to be re‐evaluated with appropriate plan evaluation and follow‐up.
Bibliografia:EQUATOR network checklist was not used.
EQUATOR network disclosure
Preliminary results were presented in the virtual poster session of Radiation Research Society 2020 annual meeting.
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ISSN:1058-8183
1740-8261
1740-8261
DOI:10.1111/vru.13039