» Articles » PMID: 34992856

Knowledge-based Planning Using Pseudo-structures for Volumetric Modulated Arc Therapy (VMAT) of Postoperative Uterine Cervical Cancer: a Multi-institutional Study

Overview
Specialty Oncology
Date 2022 Jan 7
PMID 34992856
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The aim of this study was to investigate the performance of the RapidPlan (RP ) using models registered pseudostructures, and to determine how many structures are required for automatic optimization of volumetric modulated arc therapy (VMAT) for postoperative uterine cervical cancer.

Materials And Methods: Pseudo-structures around the PTV were retrospectively contoured for patients who had completed treatment at five institutions. For 22 common patients, plans were generated with a single optimization for models with two (RP_2), four (RP_4), and five (RP_5) registered structures, and the dosimetric parameters of these models were compared with a clinical plan with several optimizations.

Results: Most dosimetric parameters showed no major differences between each RP model. In particular, the rectum D, V, and V with RP_2, RP_4, and RP_5 were not significantly different, and were lower than those of the clinical plan. The average proportions of plans achieving acceptable criteria for dosimetric parameters were close to 100% for all models. Using RP_2, the average time for the VMAT planning was reduced by 88 minutes compared with the clinical plan.

Conclusion: The RapidPlan model with two registered pseudo-structures could generate clinically acceptable plans while saving time.

Citing Articles

Differences between professionals in treatment planning for patients with stage III lung cancer using treatment-planning QA software.

Sato D, Sasaki M, Nakaguchi Y, Kamomae T, Kawanaka T, Kubo A Rep Pract Oncol Radiother. 2024; 28(5):671-680.

PMID: 38179286 PMC: 10764038. DOI: 10.5603/rpor.97511.


Multi-institution model (big model) versus single-institution model of knowledge-based volumetric modulated arc therapy (VMAT) planning for prostate cancer.

Fukunaga J, Tamura M, Ueda Y, Kamima T, Shimizu Y, Muraki Y Sci Rep. 2022; 12(1):15282.

PMID: 36088382 PMC: 9464226. DOI: 10.1038/s41598-022-19498-6.

References
1.
Toita T, Ohno T, Kaneyasu Y, Uno T, Yoshimura R, Kodaira T . A consensus-based guideline defining the clinical target volume for pelvic lymph nodes in external beam radiotherapy for uterine cervical cancer. Jpn J Clin Oncol. 2010; 40(5):456-63. DOI: 10.1093/jjco/hyp191. View

2.
Dial C, Weiss E, Siebers J, Hugo G . Benefits of adaptive radiation therapy in lung cancer as a function of replanning frequency. Med Phys. 2016; 43(4):1787. PMC: 4808061. DOI: 10.1118/1.4943564. View

3.
Gay H, Barthold H, OMeara E, Bosch W, El Naqa I, Al-Lozi R . Pelvic normal tissue contouring guidelines for radiation therapy: a Radiation Therapy Oncology Group consensus panel atlas. Int J Radiat Oncol Biol Phys. 2012; 83(3):e353-62. PMC: 3904368. DOI: 10.1016/j.ijrobp.2012.01.023. View

4.
Kubo K, Monzen H, Ishii K, Tamura M, Nakasaka Y, Kusawake M . Inter-planner variation in treatment-plan quality of plans created with a knowledge-based treatment planning system. Phys Med. 2019; 67:132-140. DOI: 10.1016/j.ejmp.2019.10.032. View

5.
Castriconi R, Fiorino C, Passoni P, Broggi S, Di Muzio N, Cattaneo G . Knowledge-based automatic optimization of adaptive early-regression-guided VMAT for rectal cancer. Phys Med. 2020; 70:58-64. DOI: 10.1016/j.ejmp.2020.01.016. View