Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer
Abstract Background This study aimed to evaluate an a-priori multicriteria plan optimization algorithm (mCycle) for locally advanced breast cancer radiation therapy (RT) by comparing automatically generated VMAT (Volumetric Modulated Arc Therapy) plans (AP-VMAT) with manual clinical Helical Tomother...
Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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BMC
2023-10-01
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Series: | Radiation Oncology |
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Online Access: | https://doi.org/10.1186/s13014-023-02364-8 |
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author | Livia Marrazzo Laura Redapi Roberto Pellegrini Peter Voet Icro Meattini Chiara Arilli Silvia Calusi Marta Casati Deborah Chilà Antonella Compagnucci Cinzia Talamonti Margherita Zani Lorenzo Livi Stefania Pallotta |
author_facet | Livia Marrazzo Laura Redapi Roberto Pellegrini Peter Voet Icro Meattini Chiara Arilli Silvia Calusi Marta Casati Deborah Chilà Antonella Compagnucci Cinzia Talamonti Margherita Zani Lorenzo Livi Stefania Pallotta |
author_sort | Livia Marrazzo |
collection | DOAJ |
description | Abstract Background This study aimed to evaluate an a-priori multicriteria plan optimization algorithm (mCycle) for locally advanced breast cancer radiation therapy (RT) by comparing automatically generated VMAT (Volumetric Modulated Arc Therapy) plans (AP-VMAT) with manual clinical Helical Tomotherapy (HT) plans. Methods The study included 25 patients who received postoperative RT using HT. The patient cohort had diverse target selections, including both left and right breast/chest wall (CW) and III-IV node, with or without internal mammary node (IMN) and Simultaneous Integrated Boost (SIB). The Planning Target Volume (PTV) was obtained by applying a 5 mm isotropic expansion to the CTV (Clinical Target Volume), with a 5 mm clip from the skin. Comparisons of dosimetric parameters and delivery/planning times were conducted. Dosimetric verification of the AP-VMAT plans was performed. Results The study showed statistically significant improvements in AP-VMAT plans compared to HT for OARs (Organs At Risk) mean dose, except for the heart and ipsilateral lung. No significant differences in V95% were observed for PTV breast/CW and PTV III-IV, while increased coverage (higher V95%) was seen for PTV IMN in AP-VMAT plans. HT plans exhibited smaller values of PTV V105% for breast/CW and III-IV, with no differences in PTV IMN and boost. HT had an average (± standard deviation) delivery time of (17 ± 8) minutes, while AP-VMAT took (3 ± 1) minutes. The average γ passing rate for AP-VMAT plans was 97%±1%. Planning times reduced from an average of 6 h for HT to about 2 min for AP-VMAT. Conclusions Comparing AP-VMAT plans with clinical HT plans showed similar or improved quality. The implementation of mCycle demonstrated successful automation of the planning process for VMAT treatment of locally advanced breast cancer, significantly reducing workload. |
first_indexed | 2024-03-11T12:38:50Z |
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id | doaj.art-983d3c12dc784aefbba0cfe5a3c881f8 |
institution | Directory Open Access Journal |
issn | 1748-717X |
language | English |
last_indexed | 2024-03-11T12:38:50Z |
publishDate | 2023-10-01 |
publisher | BMC |
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series | Radiation Oncology |
spelling | doaj.art-983d3c12dc784aefbba0cfe5a3c881f82023-11-05T12:25:40ZengBMCRadiation Oncology1748-717X2023-10-011811910.1186/s13014-023-02364-8Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancerLivia Marrazzo0Laura Redapi1Roberto Pellegrini2Peter Voet3Icro Meattini4Chiara Arilli5Silvia Calusi6Marta Casati7Deborah Chilà8Antonella Compagnucci9Cinzia Talamonti10Margherita Zani11Lorenzo Livi12Stefania Pallotta13Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of FlorenceDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of FlorenceMedical Affairs & Research Clinical Liaison, Elekta ABMedical Affairs & Research Clinical Liaison, Elekta ABDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of FlorenceMedical Physics Unit, Azienda Ospedaliero-Universitaria CareggiMedical Physics Unit, Azienda Ospedaliero-Universitaria CareggiMedical Physics Unit, Azienda Ospedaliero-Universitaria CareggiDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of FlorenceMedical Physics Unit, Azienda Ospedaliero-Universitaria CareggiDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of FlorenceMedical Physics Unit, Azienda Ospedaliero-Universitaria CareggiDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of FlorenceDepartment of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of FlorenceAbstract Background This study aimed to evaluate an a-priori multicriteria plan optimization algorithm (mCycle) for locally advanced breast cancer radiation therapy (RT) by comparing automatically generated VMAT (Volumetric Modulated Arc Therapy) plans (AP-VMAT) with manual clinical Helical Tomotherapy (HT) plans. Methods The study included 25 patients who received postoperative RT using HT. The patient cohort had diverse target selections, including both left and right breast/chest wall (CW) and III-IV node, with or without internal mammary node (IMN) and Simultaneous Integrated Boost (SIB). The Planning Target Volume (PTV) was obtained by applying a 5 mm isotropic expansion to the CTV (Clinical Target Volume), with a 5 mm clip from the skin. Comparisons of dosimetric parameters and delivery/planning times were conducted. Dosimetric verification of the AP-VMAT plans was performed. Results The study showed statistically significant improvements in AP-VMAT plans compared to HT for OARs (Organs At Risk) mean dose, except for the heart and ipsilateral lung. No significant differences in V95% were observed for PTV breast/CW and PTV III-IV, while increased coverage (higher V95%) was seen for PTV IMN in AP-VMAT plans. HT plans exhibited smaller values of PTV V105% for breast/CW and III-IV, with no differences in PTV IMN and boost. HT had an average (± standard deviation) delivery time of (17 ± 8) minutes, while AP-VMAT took (3 ± 1) minutes. The average γ passing rate for AP-VMAT plans was 97%±1%. Planning times reduced from an average of 6 h for HT to about 2 min for AP-VMAT. Conclusions Comparing AP-VMAT plans with clinical HT plans showed similar or improved quality. The implementation of mCycle demonstrated successful automation of the planning process for VMAT treatment of locally advanced breast cancer, significantly reducing workload.https://doi.org/10.1186/s13014-023-02364-8RadiotherapyAutomated planningVMATLocally advanced Breast cancerMulticriterial optimization |
spellingShingle | Livia Marrazzo Laura Redapi Roberto Pellegrini Peter Voet Icro Meattini Chiara Arilli Silvia Calusi Marta Casati Deborah Chilà Antonella Compagnucci Cinzia Talamonti Margherita Zani Lorenzo Livi Stefania Pallotta Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer Radiation Oncology Radiotherapy Automated planning VMAT Locally advanced Breast cancer Multicriterial optimization |
title | Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer |
title_full | Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer |
title_fullStr | Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer |
title_full_unstemmed | Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer |
title_short | Fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer |
title_sort | fully automated volumetric modulated arc therapy technique for radiation therapy of locally advanced breast cancer |
topic | Radiotherapy Automated planning VMAT Locally advanced Breast cancer Multicriterial optimization |
url | https://doi.org/10.1186/s13014-023-02364-8 |
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