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Darréon J, Debnath SBC, Benkreira M, Fau P, Mailleux H, Ferré M, Benkemouche A, Tallet A, Annede P, Petit C, Salem N. A novel lung SBRT treatment planning: Inverse VMAT plan with leaf motion limitation to ensure the irradiation reproducibility of a moving target. Med Dosim 2023; 49:159-164. [PMID: 38061915 DOI: 10.1016/j.meddos.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 10/20/2023] [Accepted: 11/01/2023] [Indexed: 05/08/2024]
Abstract
This study exposed the implementation of a novel technique (VMATLSL) for the planning of moving targets in lung stereotactic body radiation therapy (SBRT). This new technique has been compared to static conformal radiotherapy (3D-CRT), volumetric-modulated arc therapy (VMAT), and dynamic conformal arc (DCA). The rationale of this study was to lower geometric complexity (54.9% lower than full VMAT) and hence ensure the reproducibility of the treatment delivery by reducing the risk for interplay errors induced by respiratory motion. Dosimetry metrics were studied with a cohort of 30 patients. Our results showed that leaf speed limitation provided conformal number (CN) close to the VMAT (median CN of VMATLSL is 0.78 vs 0.82 for full VMAT) and was a significant improvement on 3D-CRT and DCA with segment-weight optimized (respectively 0.55 and 0.57). This novel technique is an alternative to VMAT or DCA for lung SBRT treatments, combining independence from the patient's breathing pattern, from the size and amplitude of the lesion, free from interplay effect, and with dosimetry metrics close to the best that could be achieved with full VMAT.
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Affiliation(s)
- Julien Darréon
- Département de Physique Médicale, Institut Paoli-Calmettes, Marseille, 13009, France.
| | | | - Mohamed Benkreira
- Département de Physique Médicale, Institut Paoli-Calmettes, Marseille, 13009, France
| | - Pierre Fau
- Département de Physique Médicale, Institut Paoli-Calmettes, Marseille, 13009, France
| | - Hugues Mailleux
- Département de Physique Médicale, Institut Paoli-Calmettes, Marseille, 13009, France
| | - Marjorie Ferré
- Département de Physique Médicale, Institut Paoli-Calmettes, Marseille, 13009, France
| | - Ahcene Benkemouche
- Département de Physique Médicale, Institut Paoli-Calmettes, Marseille, 13009, France
| | - Agnès Tallet
- Institut Paoli-Calmettes, Service de Radiothérapie, Marseille, 13009, France
| | - Pierre Annede
- Centre de radiothérapie Saint Louis, Croix Rouge Française, Toulon, 83100, France
| | - Claire Petit
- Institut Paoli-Calmettes, Service de Radiothérapie, Marseille, 13009, France
| | - Naji Salem
- Institut Paoli-Calmettes, Service de Radiothérapie, Marseille, 13009, France
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Varasteh M, Ali A, Esteve S, Jeevanandam P, Göpfert F, Irvine DM, Hounsell AR, McGarry CK. Patient specific evaluation of breathing motion induced interplay effects. Phys Med 2023; 105:102501. [PMID: 36529007 DOI: 10.1016/j.ejmp.2022.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 09/18/2022] [Accepted: 11/23/2022] [Indexed: 12/23/2022] Open
Abstract
PURPOSE In lung SABR, interplay between target motion and dynamically changing beam parameters can affect the target coverage. To identify the potential need for motion-management techniques, a comprehensive methodology for pre-treatment estimation of interplay effects has been implemented. METHODS In conjunction with an alpha-version of VeriSoft and OCTAVIUS 4D (PTW-Freiburg, Germany), a method is presented to calculate a virtual, motion-simulated 3D dose distribution based on measurement data acquired in a stationary phantom and a subsequent correction with time-dependent target-motion patterns. In-house software has been developed to create user-defined motion patterns based on either simplistic or real patient-breathing patterns including the definition of the exact beam starting phase. The approach was validated by programmed couch and phantom motion during beam delivery. Five different breathing traces with extremely altered beam-on phases (0 % and 50 % respiratory phase) and a superior-inferior motion altitude of 25 mm were used to probe the influence of interplay effects for 14 lung SABR plans. Gamma analysis (2 %/2mm) was used for quantification. RESULTS Validation measurements resulted in >98 % pass rates. Regarding the interplay effect evaluation, gamma pass rates of <92 % were observed for sinusoidal breathing patterns with <25 number of breaths per delivery time (NBs) and realistic patterns with <18 NBs. CONCLUSION The potential influence of interplay effects on the target coverage is highly dependent on the patient's breathing behaviour. The presented moving-platform-free approach can be used for verification of ITV-based treatment plans to identify whether the clinical goals are achievable without explicit use of a respiratory management technique.
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Affiliation(s)
- Mohammad Varasteh
- Centre for Cancer Research and Cell Biology, Queen's University, Belfast, UK
| | - Asmaa Ali
- Centre for Cancer Research and Cell Biology, Queen's University, Belfast, UK
| | - Sergio Esteve
- Northern Ireland Cancer Centre, Belfast City Hospital, Belfast, UK
| | | | | | - Denise M Irvine
- Centre for Cancer Research and Cell Biology, Queen's University, Belfast, UK; Northern Ireland Cancer Centre, Belfast City Hospital, Belfast, UK
| | - Alan R Hounsell
- Centre for Cancer Research and Cell Biology, Queen's University, Belfast, UK; Northern Ireland Cancer Centre, Belfast City Hospital, Belfast, UK
| | - Conor K McGarry
- Centre for Cancer Research and Cell Biology, Queen's University, Belfast, UK; Northern Ireland Cancer Centre, Belfast City Hospital, Belfast, UK
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Beldjoudi G, Bosson F, Bernard V, Puel LM, Martel-Lafay I, Ayadi M, Tanguy R. Harmonization of dose prescription for lung stereotactic radiotherapy. Phys Imaging Radiat Oncol 2022; 24:65-70. [PMID: 36213173 PMCID: PMC9535417 DOI: 10.1016/j.phro.2022.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 09/20/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Doses standardization achieved between dedicated linac and robotic-assisted unit. Both methods delivered 3×18.3 Gy to the near minimum dose of the tumor volume. Four-Dimensional deformable method allowed to estimate dose to a mobile tumor. The reliability of a double-check software using a Monte-Carlo algorithm was validated. Gross Tumor Volume-based prescription presented less dose heterogeneities to the tumor.
Background and purpose Pulmonary stereotactic treatments can be performed using dedicated linear accelerators as well as robotic-assisted units, and different strategies can be used for dose prescription. This study aimed to compare the doses received by the tumor with a gross tumor volume (GTV)-based prescription on D98%GTV using a robotic-assisted unit (method A) and planning target volume (PTV)-based prescription on D95%PTV using a dedicated linac (method B). Material & methods Plans of 32 patients were collected for method A, and a dose of 3 × 18 Gy was prescribed using type A algorithm and recalculated using a Monte-Carlo (MC) algorithm. The plans were normalized to match D98%GTV with the mean D98%GTV¯ of the cohort. The plans of 23 patients were collected for method B, and a dose of 3 × 18 Gy was prescribed to D95%PTV using a MC algorithm. A 4D-sum method was developed to estimate doses for PTV and GTV. For validation, all plans were recalculated using an independent MC double-check software. A dose harmonization on D98% GTV was determined for both methods. Results For method A, mean doses were D2%GTV = 59.9 ± 2.1 Gy, D50%GTV = 55.6 ± 1.2 Gy, D98%GTV = 49.5 ± 0.0 Gy. For method B, the reported doses were D2%GTV = 64.6 ± 2.1 Gy, D50%GTV = 62.8 ± 1.7 Gy, and D98%GTV = 60.0 ± 1.7 Gy. The dose trade-off of D98%GTV = 55 Gy was obtained for both methods. For method A, it corresponded to a dose prescription of 3 × 20 Gy using type A algorithm, followed by rescaling to obtain D98%GTV = 55 Gy. For method B, it corresponded to a dose prescription of D95%PTV = 3 × 16.5 Gy using the MC algorithm. Conclusions This study determined similar near-minimum doses D98% GTV of approximately 3 × 18.3 Gy (55 Gy) using a GTV-based prescription on a robotic-assisted unit (method A) and a PTV-based prescription on a dedicated linac (method B).
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Multi-institutional feasibility study of intensity-modulated radiotherapy with chemotherapy for locally advanced non-small cell lung cancer. Int J Clin Oncol 2022; 27:1025-1033. [PMID: 35305192 DOI: 10.1007/s10147-022-02151-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 02/27/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND This multi-institutional clinical trial evaluated the feasibility of intensity-modulated radiotherapy (IMRT) for patients with locally advanced non-small cell lung cancer (NSCLC). METHODS The major inclusion criteria were clinical stage III NSCLC, age 20-74 years, and Eastern Cooperative Oncology Group performance status 0-1. Patients were treated with either cisplatin + S-1 (CS; four cycles every 4 weeks) or carboplatin + paclitaxel (CP; administered weekly with thoracic radiotherapy [RT], plus two consolidation cycles) concurrently with IMRT (60 Gy in 30 fractions). The primary endpoint was a treatment completion rate, defined as at least two cycles of CS or five cycles of CP during IMRT and completing 60 Gy IMRT within 56 days after the start of treatment, assumed its 90% confidence interval exceeds 60%. RT quality assurance was mandatory for all the patients. RESULTS Twenty-two patients were registered. One patient withdrew due to pulmonary infection before starting treatment. RT plans were reviewed and none was judged as a protocol violation. Grade 2 and 3 pneumonitis occurred in four (19%) and one (5%) patients, respectively. Seventeen patients met the primary endpoint, with a treatment completion rate of 77.3% (90% confidence interval [CI] 58.0%-90.6%). Four patients failed to complete chemotherapy due to chemotherapy-related adverse events, but 20 patients completed IMRT. There were no treatment-related deaths. The 2-year progression-free and overall survival rates were 31.8% (95% CI 17.3%-58.7%) and 77.3% (95% CI 61.6%-96.9%), respectively. CONCLUSION The treatment completion rate did not meet the primary endpoint, but 20 of 22 patients completed IMRT.
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Vander Veken L, Dechambre D, Sterpin E, Souris K, Van Ooteghem G, Aldo Lee J, Geets X. Incorporation of tumor motion directionality in margin recipe: The directional MidP strategy. Phys Med 2021; 91:43-53. [PMID: 34710790 DOI: 10.1016/j.ejmp.2021.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/03/2021] [Accepted: 10/09/2021] [Indexed: 12/24/2022] Open
Abstract
PURPOSE Planning target volume (PTV) definition based on Mid-Position (Mid-P) strategy typically integrates breathing motion from tumor positions variances along the conventional axes of the DICOM coordinate system. Tumor motion directionality is thus neglected even though it is one of its stable characteristics in time. We therefore propose the directional MidP approach (MidP dir), which allows motion directionality to be incorporated into PTV margins. A second objective consists in assessing the ability of the proposed method to better take care of respiratory motion uncertainty. METHODS 11 lung tumors from 10 patients with supra-centimetric motion were included. PTV were generated according to the MidP and MidP dir strategies starting from planning 4D CT. RESULTS PTVMidP dir volume didn't differ from the PTVMidP volume: 31351 mm3 IC95% [17242-45459] vs. 31003 mm3 IC95% [ 17347-44659], p = 0.477 respectively. PTVMidP dir morphology was different and appeared more oblong along the main motion axis. The relative difference between 3D and 4D doses was on average 1.09%, p = 0.011 and 0.74%, p = 0.032 improved with directional MidP for D99% and D95%. D2% was not significantly different between both approaches. The improvement in dosimetric coverage fluctuated substantially from one lesion to another and was all the more important as motion showed a large amplitude, some obliquity with respect to conventional axes and small hysteresis. CONCLUSIONS Directional MidP method allows tumor motion to be taken into account more tightly as a geometrical uncertainty without increasing the irradiation volume.
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Affiliation(s)
- Loïc Vander Veken
- UCLouvain, Institut de Recherche Experimentale et Clinique (IREC), Center of Molecular Imaging, Radiotherapy and Oncology(MIRO), 1200 Brussels, Belgium.
| | - David Dechambre
- Radiation Oncology Department, Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium
| | - Edmond Sterpin
- UCLouvain, Institut de Recherche Experimentale et Clinique (IREC), Center of Molecular Imaging, Radiotherapy and Oncology(MIRO), 1200 Brussels, Belgium; KULeuven Department of Oncology, Laboratory of Experimental Radiotherapy, 3000 Leuven, Belgium
| | - Kevin Souris
- UCLouvain, Institut de Recherche Experimentale et Clinique (IREC), Center of Molecular Imaging, Radiotherapy and Oncology(MIRO), 1200 Brussels, Belgium
| | - Geneviève Van Ooteghem
- UCLouvain, Institut de Recherche Experimentale et Clinique (IREC), Center of Molecular Imaging, Radiotherapy and Oncology(MIRO), 1200 Brussels, Belgium; Radiation Oncology Department, Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium
| | - John Aldo Lee
- UCLouvain, Institut de Recherche Experimentale et Clinique (IREC), Center of Molecular Imaging, Radiotherapy and Oncology(MIRO), 1200 Brussels, Belgium
| | - Xavier Geets
- UCLouvain, Institut de Recherche Experimentale et Clinique (IREC), Center of Molecular Imaging, Radiotherapy and Oncology(MIRO), 1200 Brussels, Belgium; Radiation Oncology Department, Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium
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