Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization

In this study, the novel iCE radiotherapy treatment planning system (TPS) for automated multi-criterial planning with integrated beam angle optimization (BAO) was developed, and applied to optimize organ at risk (OAR) sparing and systematically investigate the impact of beam angles on radiotherapy d...

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Autores principales:	Kristine Fjellanger, Liv Bolstad Hysing, Ben J. M. Heijmen, Helge Egil Seime Pettersen, Inger Marie Sandvik, Turid Husevåg Sulen, Sebastiaan Breedveld, Linda Rossi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	autoplanning automated treatment planning beam angle optimization (BAO) beam configuration Erasmus-iCycle and Eclipse iCE Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/35343a3947c644258f43d658209d2f5e
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spelling	oai:doaj.org-article:35343a3947c644258f43d658209d2f5e2021-11-25T17:02:37ZEnhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization10.3390/cancers132256832072-6694https://doaj.org/article/35343a3947c644258f43d658209d2f5e2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5683https://doaj.org/toc/2072-6694In this study, the novel iCE radiotherapy treatment planning system (TPS) for automated multi-criterial planning with integrated beam angle optimization (BAO) was developed, and applied to optimize organ at risk (OAR) sparing and systematically investigate the impact of beam angles on radiotherapy dose in locally advanced non-small cell lung cancer (LA-NSCLC). iCE consists of an in-house, sophisticated multi-criterial optimizer with integrated BAO, coupled to a broadly used commercial TPS. The in-house optimizer performs fluence map optimization to automatically generate an intensity-modulated radiotherapy (IMRT) plan with optimal beam angles for each patient. The obtained angles and dose-volume histograms are then used to automatically generate the final deliverable plan with the commercial TPS. For the majority of 26 LA-NSCLC patients, iCE achieved improved heart and esophagus sparing compared to the manually created clinical plans, with significant reductions in the median heart D<sub>mean</sub> (8.1 vs. 9.0 Gy, <i>p</i> = 0.02) and esophagus D<sub>mean</sub> (18.5 vs. 20.3 Gy, <i>p</i> = 0.02), and reductions of up to 6.7 Gy and 5.8 Gy for individual patients. iCE was superior to automated planning using manually selected beam angles. Differences in the OAR doses of iCE plans with 6 beams compared to 4 and 8 beams were statistically significant overall, but highly patient-specific. In conclusion, automated planning with integrated BAO can further enhance and individualize radiotherapy for LA-NSCLC.Kristine FjellangerLiv Bolstad HysingBen J. M. HeijmenHelge Egil Seime PettersenInger Marie SandvikTurid Husevåg SulenSebastiaan BreedveldLinda RossiMDPI AGarticleautoplanningautomated treatment planningbeam angle optimization (BAO)beam configurationErasmus-iCycle and EclipseiCENeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5683, p 5683 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	autoplanning automated treatment planning beam angle optimization (BAO) beam configuration Erasmus-iCycle and Eclipse iCE Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	autoplanning automated treatment planning beam angle optimization (BAO) beam configuration Erasmus-iCycle and Eclipse iCE Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Kristine Fjellanger Liv Bolstad Hysing Ben J. M. Heijmen Helge Egil Seime Pettersen Inger Marie Sandvik Turid Husevåg Sulen Sebastiaan Breedveld Linda Rossi Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization
description	In this study, the novel iCE radiotherapy treatment planning system (TPS) for automated multi-criterial planning with integrated beam angle optimization (BAO) was developed, and applied to optimize organ at risk (OAR) sparing and systematically investigate the impact of beam angles on radiotherapy dose in locally advanced non-small cell lung cancer (LA-NSCLC). iCE consists of an in-house, sophisticated multi-criterial optimizer with integrated BAO, coupled to a broadly used commercial TPS. The in-house optimizer performs fluence map optimization to automatically generate an intensity-modulated radiotherapy (IMRT) plan with optimal beam angles for each patient. The obtained angles and dose-volume histograms are then used to automatically generate the final deliverable plan with the commercial TPS. For the majority of 26 LA-NSCLC patients, iCE achieved improved heart and esophagus sparing compared to the manually created clinical plans, with significant reductions in the median heart D<sub>mean</sub> (8.1 vs. 9.0 Gy, <i>p</i> = 0.02) and esophagus D<sub>mean</sub> (18.5 vs. 20.3 Gy, <i>p</i> = 0.02), and reductions of up to 6.7 Gy and 5.8 Gy for individual patients. iCE was superior to automated planning using manually selected beam angles. Differences in the OAR doses of iCE plans with 6 beams compared to 4 and 8 beams were statistically significant overall, but highly patient-specific. In conclusion, automated planning with integrated BAO can further enhance and individualize radiotherapy for LA-NSCLC.
format	article
author	Kristine Fjellanger Liv Bolstad Hysing Ben J. M. Heijmen Helge Egil Seime Pettersen Inger Marie Sandvik Turid Husevåg Sulen Sebastiaan Breedveld Linda Rossi
author_facet	Kristine Fjellanger Liv Bolstad Hysing Ben J. M. Heijmen Helge Egil Seime Pettersen Inger Marie Sandvik Turid Husevåg Sulen Sebastiaan Breedveld Linda Rossi
author_sort	Kristine Fjellanger
title	Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization
title_short	Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization
title_full	Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization
title_fullStr	Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization
title_full_unstemmed	Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization
title_sort	enhancing radiotherapy for locally advanced non-small cell lung cancer patients with ice, a novel system for automated multi-criterial treatment planning including beam angle optimization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/35343a3947c644258f43d658209d2f5e
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Enhancing Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer Patients with iCE, a Novel System for Automated Multi-Criterial Treatment Planning Including Beam Angle Optimization

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