Automated robust SBPT planning using EUD-based prediction of SBRT plan for patients with lung cancer

Long, Wei; Wang, Wei; Dai, Zhitao; Li, Yang; Shang, Haijiao

doi:10.1016/j.cmpb.2021.106338

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…We set the EUD objective value to 0, as a previous study [31] . Additionally, studies showed that automated plans based on predicted EUD values were superior in quality to manual plans [32,33] . We analyzed the relationship between the overlap of bladder, rectum, bowel bag and PTV with EUD (A = 1) in A-TOMO plans, as shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of an automated Tomotherapy planning method for cervical cancer

Han,

Xue,

Huang

et al. 2024

Preprint

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Purpose This study aimed to develop an automated Tomotherapy (TOMO) planning method for cervical cancer treatment, and to validate its feasibility and effectiveness. Materials and Methods The study enrolled 30 cervical cancer patients treated with TOMO at our center. Utilizing scripting and Python environment within the RayStation (RaySearch Labs, Sweden) treatment planning system (TPS), we developed automated planning methods for TOMO and volumetric modulated arc therapy (VMAT) techniques. The clinical manual TOMO (M-TOMO) plans for the 30 patients were re-optimized using automated planning scripts for both TOMO and VMAT, creating automated TOMO (A-TOMO) and automated VMAT (A-VMAT) plans. we compared it with M-TOMO and A-VMAT plans. The primary evaluated relevant dosimetric parameters and treatment plan efficiency were assessed using the two-sided Wilcoxon signed-rank test for statistical analysis,with a P-value < 0.05 indicating statistical significance. Results A-TOMO plans maintained similar target dose uniformity compared to M-TOMO plans, with improvements in target conformity and faster dose drop-off outside the target, and demonstrated significant statistical differences (P+<0.01). A-TOMO plans also significantly outperformed M-TOMO plans in reducing V50Gy, V40Gy, and Dmean for the bladder and rectum, as well as Dmean for the bowel bag, femoral heads, and kidneys (all P+<0.05). Additionally, A-TOMO plans demonstrated better consistency in plan quality. Furthermore, the quality of A-TOMO plans was comparable to or superior than A-VMAT plans. In terms of efficiency, A-TOMO significantly reduced the time required for treatment planning to approximately 20 minutes. Conclusion We have successfully developed an A-TOMO planning method for cervical cancer. Compared to M-TOMO plans, A-TOMO plans improved target conformity and reduced radiation dose to OARs. Additionally, the quality of A-TOMO plans was on par with or surpasses that of A-VMAT plans. The A-TOMO planning method significantly improved the efficiency of treatment planning.

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Section: Discussionmentioning

confidence: 99%

Development and validation of an automated Tomotherapy planning method for cervical cancer

Han,

Xue,

Huang

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Development and validation of an automated Tomotherapy planning method for cervical cancer

Han,

Xue,

Huang

et al. 2024

Radiat Oncol

View full text Add to dashboard Cite

Purpose This study aimed to develop an automated Tomotherapy (TOMO) planning method for cervical cancer treatment, and to validate its feasibility and effectiveness. Materials and methods The study enrolled 30 cervical cancer patients treated with TOMO at our center. Utilizing scripting and Python environment within the RayStation (RaySearch Labs, Sweden) treatment planning system (TPS), we developed automated planning methods for TOMO and volumetric modulated arc therapy (VMAT) techniques. The clinical manual TOMO (M-TOMO) plans for the 30 patients were re-optimized using automated planning scripts for both TOMO and VMAT, creating automated TOMO (A-TOMO) and automated VMAT (A-VMAT) plans. We compared A-TOMO with M-TOMO and A-VMAT plans. The primary evaluated relevant dosimetric parameters and treatment plan efficiency were assessed using the two-sided Wilcoxon signed-rank test for statistical analysis, with a P-value < 0.05 indicating statistical significance. Results A-TOMO plans maintained similar target dose uniformity compared to M-TOMO plans, with improvements in target conformity and faster dose drop-off outside the target, and demonstrated significant statistical differences (P+ < 0.01). A-TOMO plans also significantly outperformed M-TOMO plans in reducing V50Gy, V40Gy and Dmean for the bladder and rectum, as well as Dmean for the bowel bag, femoral heads, and kidneys (all P+ < 0.05). Additionally, A-TOMO plans demonstrated better consistency in plan quality. Furthermore, the quality of A-TOMO plans was comparable to or superior than A-VMAT plans. In terms of efficiency, A-TOMO significantly reduced the time required for treatment planning to approximately 20 min. Conclusion We have successfully developed an A-TOMO planning method for cervical cancer. Compared to M-TOMO plans, A-TOMO plans improved target conformity and reduced radiation dose to OARs. Additionally, the quality of A-TOMO plans was on par with or surpasses that of A-VMAT plans. The A-TOMO planning method significantly improved the efficiency of treatment planning.

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Automated robust SBPT planning using EUD-based prediction of SBRT plan for patients with lung cancer

Cited by 2 publications

References 25 publications

Development and validation of an automated Tomotherapy planning method for cervical cancer

Development and validation of an automated Tomotherapy planning method for cervical cancer

Development and validation of an automated Tomotherapy planning method for cervical cancer

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