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Zhou Y, Sakai M, Li Y, Kubota Y, Okamoto M, Shiba S, Okazaki S, Matsui T, Ohno T. Robust Beam Selection Based on Water Equivalent Thickness Analysis in Passive Scattering Carbon-Ion Radiotherapy for Pancreatic Cancer. Cancers (Basel) 2023; 15:cancers15092520. [PMID: 37173985 PMCID: PMC10177227 DOI: 10.3390/cancers15092520] [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: 01/26/2023] [Revised: 04/13/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023] Open
Abstract
Carbon-ion radiotherapy (CIRT) is one of the most effective radiotherapeutic modalities. This study aimed to select robust-beam configurations (BC) by water equivalent thickness (WET) analysis in passive CIRT for pancreatic cancer. The study analyzed 110 computed tomography (CT) images and 600 dose distributions of eight patients with pancreatic cancer. The robustness in the beam range was evaluated using both planning and daily CT images, and two robust BCs for the rotating gantry and fixed port were selected. The planned, daily, and accumulated doses were calculated and compared after bone matching (BM) and tumor matching (TM). The dose-volume parameters for the target and organs at risk (OARs) were evaluated. Posterior oblique beams (120-240°) in the supine position and anteroposterior beams (0° and 180°) in the prone position were the most robust to WET changes. The mean CTV V95% reductions with TM were -3.8% and -5.2% with the BC for gantry and the BC for fixed ports, respectively. Despite ensuring robustness, the dose to the OARs increased slightly with WET-based BCs but remained below the dose constraint. The robustness of dose distribution can be improved by BCs that are robust to ΔWET. Robust BC with TM improves the accuracy of passive CIRT for pancreatic cancer.
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Affiliation(s)
- Yuan Zhou
- Graduate School of Medicine, Gunma University, Maebashi 371-8511, Japan
| | - Makoto Sakai
- Gunma University Heavy Ion Medical Center, Maebashi 371-8511, Japan
| | - Yang Li
- Gunma University Heavy Ion Medical Center, Maebashi 371-8511, Japan
- Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China
| | - Yoshiki Kubota
- Gunma University Heavy Ion Medical Center, Maebashi 371-8511, Japan
| | - Masahiko Okamoto
- Graduate School of Medicine, Gunma University, Maebashi 371-8511, Japan
- Gunma University Heavy Ion Medical Center, Maebashi 371-8511, Japan
| | - Shintaro Shiba
- Graduate School of Medicine, Gunma University, Maebashi 371-8511, Japan
- Department of Radiation Oncology, Shonan Kamakura General Hospital, Kamakura 247-8533, Japan
| | - Shohei Okazaki
- Graduate School of Medicine, Gunma University, Maebashi 371-8511, Japan
- Gunma University Heavy Ion Medical Center, Maebashi 371-8511, Japan
| | - Toshiaki Matsui
- Graduate School of Medicine, Gunma University, Maebashi 371-8511, Japan
| | - Tatsuya Ohno
- Graduate School of Medicine, Gunma University, Maebashi 371-8511, Japan
- Gunma University Heavy Ion Medical Center, Maebashi 371-8511, Japan
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Molinelli S, Vai A, Russo S, Loap P, Meschini G, Paganelli C, Barcellini A, Vitolo V, Orlandi E, Ciocca M. The role of multiple anatomical scenarios in plan optimization for carbon ion radiotherapy of pancreatic cancer. Radiother Oncol 2022; 176:1-8. [PMID: 36113776 DOI: 10.1016/j.radonc.2022.09.005] [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: 03/28/2022] [Revised: 08/17/2022] [Accepted: 09/07/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE /OBJECTIVE To quantify benefits of robust optimization on multiple 4DCT acquisitions combined with off-line treatment adaptation for neoadjuvant carbon ion therapy (CIRT) of pancreatic cancer. MATERIAL/METHODS For 10 previously treated patients, 4DCTs were acquired around -15 (CTPlan), -5 (RE1), -1 (RE2) and +6 (RE3) days from RT start. Treatment plans were newly optimized to a dose prescription of 38.4 Gy(RBE) (8 fractions) with a constraint of 38 Gy(RBE) to 1% of the gastrointestinal organs at risk volume (D1%). Three strategies were tested: (A) robust optimization on CTPlan maximum exhale (0Ex) with 3 mm set-up, 3% range uncertainty, including 30%-inhale; (B) addition of the RE1-0Ex scenario; (C) plan recalculation at each REi and adaptation (RPi) according to deviation thresholds from clinical goals. The cumulative variation of target coverage and GI-OARs doses was evaluated. Duodenum contours of all 4DCTs of each patient were registered on CTPlan-0Ex. The capacity of pre-RT acquisitions to predict duodenum position was investigated by computing the intersection of contours at CTplan, RE1, or their union, with respect to subsequent 4DCTs and the CTV, coupled with increasing margin. RESULTS (A) No recalculation exceeded the D1% constraint. (B) The inclusion of RE1-0Ex in the optimization problem improved inter-fraction robustness on a patient-specific basis, but was non-significant on average. (C) Half of the plans would be re-optimized to recover target coverage and/or minimize duodenum dose, at least once. A significant difference was observed between pre-RT duodenum contours when intersecting subsequent contours, either with a margin expansion. CONCLUSION Anatomical variations highlighted at multiple REi proved that a fast and efficient online adaptation is essential to optimize treatment quality of CIRT for pancreatic cancer.
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Affiliation(s)
| | | | | | - Pierre Loap
- Institut Curie, Department of Radiation Oncology, Paris, France
| | - Giorgia Meschini
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy
| | - Chiara Paganelli
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy
| | | | | | | | - Mario Ciocca
- Dipartimento Clinico, Fondazione CNAO, Pavia, Italy
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Loap P, Vischioni B, Bonora M, Ingargiola R, Ronchi S, Vitolo V, Barcellini A, Goanta L, De Marzi L, Dendale R, Pacelli R, Locati L, Calugaru V, Mammar H, Cavalieri S, Kirova Y, Orlandi E. Biological Rationale and Clinical Evidence of Carbon Ion Radiation Therapy for Adenoid Cystic Carcinoma: A Narrative Review. Front Oncol 2021; 11:789079. [PMID: 34917512 PMCID: PMC8668942 DOI: 10.3389/fonc.2021.789079] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/15/2021] [Indexed: 12/13/2022] Open
Abstract
Adenoid cystic carcinoma (ACC) is a rare, basaloid, epithelial tumor, arising mostly from salivary glands. Radiation therapy can be employed as a single modality for unresectable tumors, in an adjuvant setting after uncomplete resection, in case of high-risk pathological features, or for recurrent tumors. Due to ACC intrinsic radioresistance, high linear energy transfer (LET) radiotherapy techniques have been evaluated for ACC irradiation: while fast neutron therapy has now been abandoned due to toxicity concerns, charged particle beams such as protons and carbon ions are at present the beams used for hadron therapy. Carbon ion radiation therapy (CIRT) is currently increasingly used for ACC irradiation. The aim of this review is to describe the immunological, molecular and clinicopathological bases that support ACC treatment with CIRT, as well as to expose the current clinical evidence that reveal the advantages of using CIRT for treating ACC.
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Affiliation(s)
- Pierre Loap
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy.,Department of Radiation Oncology, Institut Curie, Paris, France.,Proton Therapy Center, Institut Curie, Orsay, France
| | - Barbara Vischioni
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Maria Bonora
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Rossana Ingargiola
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Sara Ronchi
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Viviana Vitolo
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Amelia Barcellini
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
| | - Lucia Goanta
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Napoli, Italy
| | - Ludovic De Marzi
- Department of Radiation Oncology, Institut Curie, Paris, France.,Proton Therapy Center, Institut Curie, Orsay, France.,Institut Curie, PSL Research University, University Paris Saclay, INSERM LITO, Orsay, France
| | - Remi Dendale
- Department of Radiation Oncology, Institut Curie, Paris, France.,Proton Therapy Center, Institut Curie, Orsay, France
| | - Roberto Pacelli
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Napoli, Italy
| | - Laura Locati
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Valentin Calugaru
- Department of Radiation Oncology, Institut Curie, Paris, France.,Proton Therapy Center, Institut Curie, Orsay, France
| | - Hamid Mammar
- Department of Radiation Oncology, Institut Curie, Paris, France.,Proton Therapy Center, Institut Curie, Orsay, France
| | - Stefano Cavalieri
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Youlia Kirova
- Department of Radiation Oncology, Institut Curie, Paris, France.,Proton Therapy Center, Institut Curie, Orsay, France
| | - Ester Orlandi
- Radiation Oncology Unit, Clinical Department, National Center for Oncological Hadrontherapy (CNAO), Pavia, Italy
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Zhou Y, Li Y, Kubota Y, Sakai M, Ohno T. Robust Angle Selection in Particle Therapy. Front Oncol 2021; 11:715025. [PMID: 34621672 PMCID: PMC8490826 DOI: 10.3389/fonc.2021.715025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/19/2021] [Indexed: 11/13/2022] Open
Abstract
The popularity of particle radiotherapy has grown exponentially over recent years owing to the marked advantage of the depth–dose curve and its unique biological property. However, particle therapy is sensitive to changes in anatomical structure, and the dose distribution may deteriorate. In particle therapy, robust beam angle selection plays a crucial role in mitigating inter- and intrafractional variation, including daily patient setup uncertainties and tumor motion. With the development of a rotating gantry, angle optimization has gained increasing attention. Currently, several studies use the variation in the water equivalent thickness to quantify anatomical changes during treatment. This method seems helpful in determining better beam angles and improving the robustness of planning. Therefore, this review will discuss and summarize the robust beam angles at different tumor sites in particle radiotherapy.
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Affiliation(s)
- Yuan Zhou
- Department of Radiation Oncology, Graduate School of Medicine, Gunma University, Maebashi, Japan
| | - Yang Li
- Gunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan.,Department of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yoshiki Kubota
- Gunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan
| | - Makoto Sakai
- Gunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan
| | - Tatsuya Ohno
- Department of Radiation Oncology, Graduate School of Medicine, Gunma University, Maebashi, Japan.,Gunma University Heavy Ion Medical Center, Gunma University, Maebashi, Japan
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