Evaluation of a commercial automatic treatment planning system for liver stereotactic body radiation therapy treatments

Gallio, E.; Giglioli, F.R.; Girardi, A.; Guarneri, Alessia; Ricardi, Umberto; Ropolo, R.; Ragona, Riccardo; Fiandra, C.

doi:10.1016/j.ejmp.2018.01.016

Cited by 35 publications

(25 citation statements)

References 29 publications

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“…Moreover, the standard deviation of various indicators in APs is also smaller than that in MPs, which shows that the result of AP plans is more stable. Similar results have been proven in many publications (12)(13)(14)(15).…”

Section: Discussionsupporting

confidence: 91%

“…Moreover, the implementation of an automatic process can potentially reduce the objective differences between physicists as well as the overall planning quality. Current research on applying AP to different types of cancer shows that while AP produces a high-quality clinically acceptable plan, it can improve the efficiency of the optimization process and the quality of the plan while eliminating the need to repeat experiments during manual planning (12)(13)(14)(15). However, most of that researches focusing on the dosimetric comparison between manual plans and automatic plans to demonstrate the superiority of the AP.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Auto-Planning for Left-Side Breast Cancer After Breast-Conserving Surgery Based on Geometrical Relationship

Bai

Huang

et al. 2020

Preprint

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Purpose: This study aimed to evaluate (1) the performance of the Auto-Planning module embedded in the Pinnacle treatment planning system (TPS) with 30 left-side breast cancer plans and (2) the dose-distance correlations between dose-based patients and overlap volume histogram-based (OVH) patients. Method: A total of 30 patients with left-side breast cancer after breast-conserving surgery were enrolled in this study. The clinical manual-planning (MP) and the Auto-Planning (AP) plans were generated by Monaco and by the Auto-Planning module in Pinnacle respectively. The geometric information between organ at risk (OAR) and planning target volume (PTV) of each patient was described by the OVH. The AP and MP plans were ranked to compare with the geometry-based patients from OVH. The Pearson product-moment correlation coefficient (R) was used to describe the correlations between dose-based patients (APs and MPs) and geometry-based patients (OVH). Dosimetric differences between MP and AP plans were evaluated with statistical analysis. Result: The correlation coefficient (mean R = 0.71) indicated that the AP plans have a high correlation with geometry-based patients from OVH, whereas the correlation coefficient (mean R = 0.48) shows a weak correlation between MP plans and geometry-based patients. For different indicators, the dose distribution of V5Gy in the ipsilateral lung (AP: mean R = 0.82; MP: mean R = 0.58) is more relevant to geometry-based patients compared to the dose distribution of in the heart (AP: mean R = 0.4; MP: mean R = 0.19). The dosimetric comparison revealed a statistically significant improvement in ipsilateral lung V5Gy and V10Gy and in the heart V5Gy of AP plans compared to MP plans. Conclusion: The overall results of AP plans were superior to MP plans. The dose distribution in AP plans was more consistent with the distance-dose relationship described by OVH. After eliminating the interference of human factors, the AP was able to provide more stable and objective plans for radiotherapy patients.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Evaluation of Auto-Planning for Left-Side Breast Cancer After Breast-Conserving Surgery Based on Geometrical Relationship

Bai

Huang

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Similar results have been proved in many publications. (12)(13)(14)(15) The geometric relationship between the target volume and OARs significantly affects the dose distribution in the physical plans. In many articles, the effectiveness of the OVH method for plan evaluation and plan quality improvement has been described.…”

Section: Disscusionmentioning

confidence: 99%

“…Besides, the implement of automatic process can potentially reduce the objective differences between physicists and possibly improve the overall planning quality. Current research on applying AP to different types of cancer shows that while AP produces a high-quality clinically acceptable plan, it can improve the efficiency of the optimization process and the quality of the plan, and eliminates the need to repeat experiments during manual planning (12)(13)(14)(15). However, most of those researches are focusing on dosimetric comparison between manually plans and automatic plans to demonstrate the superiority of the AP.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Auto-Planning for Left-Side Breast Cancer After Breast-Conserving Surgery Based on Geometrical Relationship

Bai

Huang

et al. 2020

Preprint

View full text Add to dashboard Cite

BackgroundThis study aimed to evaluate (1) the performance of Auto-Planning module embedded in Pinnnacle treatment planning system (TPS) with 30 left-side breast cancer plans; (2) the dose-distance relations based on overlap volume histogram (OVH) curve.Method30 patients with left-side breast cancer after breast-serving surgery were enrolled in this study. The clinical manual plan (MP) and the automatic plan (AP) were generated by Monaco and Auto-planning module respectively. The geometric relations between organ at risk (OAR) and planning target volume (PTV) of each patient were described by the overlap volume histogram (OVH). The patients were ranked according to the extension distance from PTV at a specific volume on the OVH curve. The MP and AP plans then were ranked to compare with the ranking of the OVH curves. Dosimetric difference between MP and AP plans were evaluated with statistical analysis.ResultThe comparative result shows a higher degree of correlation between AP and OVH curve. For different indicators, the dose distribution of , , in ipsilateral lung is more consistent with the distance-dose relation compared to the dose distribution of in heart. Dosimetric comparison shows a statistically significant improvement in ipsilateral lung and , and in heart of AP plans compared to MP plans. However, the result of ipsilateral lung of MP plans are better than that of AP plans.ConclusionThe overall results of AP plans are superior to MP plans. The dose distribution in AP plans are more consistent with the distance-dose relationship, which was described by OVH. After eliminating the interference of human factors, the AP is able to provide more stable and objective plans for radiotherapy patients.

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“…Multiple institutions have investigated the efficacy of automated treatment planning for head and neck [14][15][16][17][18][19], oesophageal [20], and prostate cancers [21][22][23][24], and found the automatically generated plan to be noninferior and often superior to manual planning quality, while significantly reducing treatment planning times. Additionally, previously complex and time-consuming stereotactic treatments for liver cancer have had automatic treatment plans developed [25], while quantitative tools have been constructed to automatically identify poorer quality treatment plans [26,27].…”

Section: Introductionmentioning

confidence: 99%

Adapting automated treatment planning configurations across international centres for prostate radiotherapy

Roach

Wortel

Ochoa

et al. 2019

Physics and Imaging in Radiation Oncology

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Background and purpose: Automated configurations are increasingly utilised for radiotherapy treatment planning. This study investigates whether automated treatment planning configurations are adaptable across clinics with different treatment planning protocols for prostate radiotherapy. Material and methods: The study comprised three participating centres, each with pre-existing locally developed prostate AutoPlanning configurations using the Pinnacle 3 ® treatment planning system. Using a three-patient training dataset circulated from each centre, centres modified local prostate configurations to generate protocol compliant treatment plans for the other two centres. Each centre applied modified configurations on validation datasets distributed from each centre (10 patients from 3 centres). Plan quality was assessed through DVH analysis and protocol compliance. Results: All treatment plans were clinically acceptable, based off relevant treatment protocol. Automated planning configurations from Centre's A and B recorded 2 and 18 constraint and high priority deviations respectively. Centre C configurations recorded no high priority deviations. Centre A configurations produced treatment plans with superior dose conformity across all patient PTVs (mean = 1.14) compared with Centre's B and C (mean = 1.24 and 1.22). Dose homogeneity was consistent between all centre's configurations (mean = 0.083, 0.077, and 0.083 respectively). Conclusions: This study demonstrates that automated treatment planning configurations can be shared and implemented across multiple centres with simple adaptations to local protocols.

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Evaluation of a commercial automatic treatment planning system for liver stereotactic body radiation therapy treatments

Cited by 35 publications

References 29 publications

Evaluation of Auto-Planning for Left-Side Breast Cancer After Breast-Conserving Surgery Based on Geometrical Relationship

Evaluation of Auto-Planning for Left-Side Breast Cancer After Breast-Conserving Surgery Based on Geometrical Relationship

Evaluation of Auto-Planning for Left-Side Breast Cancer After Breast-Conserving Surgery Based on Geometrical Relationship

Adapting automated treatment planning configurations across international centres for prostate radiotherapy

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