Wang Wenyu,Wei Ran,Yuan Siqi,et al.Assessment of clinal target volume deformation in online adaptive radiotherapy for prostate cancer[J].Chinese Journal of Radiological Medicine and Protection,2025,45(10):973-978
Assessment of clinal target volume deformation in online adaptive radiotherapy for prostate cancer
Received:July 04, 2025  
DOI:10.3760/cma.j.cn112271-20250704-00223
KeyWords:Online adaptive radiotherapy(OART)  Intrafraction motion  Target volume deformation  Deformable point set registration  Three-dimensional point cloud
FundProject:国家自然科学基金(12405406)
Author NameAffiliationE-mail
Wang Wenyu National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China  
Wei Ran National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China  
Yuan Siqi National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China  
Men Kuo National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China menkuo126@126.com 
Hits: 3524
Download times: 643
Abstract::
      Objective To assess intrafractional errors of the deformation of clinical target volumes (CTVs) during online adaptive radiotherapy (OART) for prostate cancer patients, aiming to provide a basis for online plan optimization. Methods A retrospective analysis was conducted for 13 prostate cancer patients who received 1.5 T magnetic resonance imaging (MRI)-guided OART (8 Gy × 5 fractions, totaling 65 fractions) at the Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences. The MRI images were collected at the beginning and end of various treatment fractions. Then, the CTVs and organs at risk (OARs) were delineated by the same radiation oncologist. After rigid registration and triangle mesh generation, the surface vertices were extracted. The deformable registration for the CTV surfaces was performed using the thin-plate spline robust point matching (TPS-RPM) algorithm, yielding vertex correspondences. Last, both systematic and random intrafractional errors of CTV deformation were calculated. Results The average Hausdorff distance (HD) for deformable registration of treatment fractions was (1.68 ± 0.28) mm. The intrafractional systematic errors of CTV deformation were (0.25 ± 3.18) mm (anterior-posterior direction; A-P), (0.89 ± 3.85) mm (left-right direction, L-R), and (-1.98 ± 6.69) mm (superior-inferior direction, S-I). The intrafractional random errors of CTV deformation were determined at (-0.26 ± 1.89) mm (A-P), (-0.08 ± 0.88) mm (L-R), and (-0.04 ± 1.86) mm (S-I). Conclusions During OART, CTV deformations primarily occur in the S-I direction. Therefore, it is necessary to consider the expanded size of margins in this direction during OART for prostate cancer.
HTML  View Full Text  View/Add Comment  Download reader
Close

Copyright©    Editorial Office of Chinese Journal of Radiological Medicine and Protection    

Beijing ICP No. 05020547 -2

Address: 2 Xinkang Street, Dewai, Beijing 100088, China

Telephone:010-62389620; Email:cjrmp@cjrmp.sina.net

Technical Support:Beijing E-tiller CO.,LTD.

Visitors:17878171  On-line:0

v
Scan QR Code
&et=EB1E2AC52F440479222323944FAF2AB4C6A609C5717978D9E258602CAAE5D2CB1740C220C6E08B2E713F62525007BABEA57B47814F51C4F4D2FB08AE70224221422CC428210EC2B09656ADC1D9A3FAE259C7A2D73280A5BFA2691BD401ED4810C51633D87B6AEB03&pcid=A9DB1C13C87CE289EA38239A9433C9DC&cid=D4D466D60FDC1A5A&jid=5E4353813E091AB841B02B880782B82C&yid=E6A891D2134F30C0&aid=7BF286E46F6BB7E728BDA467257F643F&vid=&iid=F3090AE9B60B7ED1&sid=1B519D9EB22393DB&eid=32491EEEE0A8C927&fileno=20251005&flag=1&is_more=0"> var my_pcid="A9DB1C13C87CE289EA38239A9433C9DC"; var my_cid="D4D466D60FDC1A5A"; var my_jid="5E4353813E091AB841B02B880782B82C"; var my_yid="E6A891D2134F30C0"; var my_aid="7BF286E46F6BB7E728BDA467257F643F";