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Lambri N, Longari G, Loiacono D, Brioso RC, Crespi L, Galdieri C, Lobefalo F, Reggiori G, Rusconi R, Tomatis S, Bellu L, Bramanti S, Clerici E, De Philippis C, Dei D, Navarria P, Carlo-Stella C, Franzese C, Scorsetti M, Mancosu P. Deep learning-based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy. Med Phys 2024. [PMID: 38634859 DOI: 10.1002/mp.17089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/20/2024] [Accepted: 04/05/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Total marrow (lymphoid) irradiation (TMI/TMLI) is a radiotherapy treatment used to selectively target the bone marrow and lymph nodes in conditioning regimens for allogeneic hematopoietic stem cell transplantation. A complex field geometry is needed to cover the large planning target volume (PTV) of TMI/TMLI with volumetric modulated arc therapy (VMAT). Five isocenters and ten overlapping fields are needed for the upper body, while, for patients with large anatomical conformation, two specific isocenters are placed on the arms. The creation of a field geometry is clinically challenging and is performed by a medical physicist (MP) specialized in TMI/TMLI. PURPOSE To develop convolutional neural networks (CNNs) for automatically generating the field geometry of TMI/TMLI. METHODS The dataset comprised 117 patients treated with TMI/TMLI between 2011 and 2023 at our Institute. The CNN input image consisted of three channels, obtained by projecting along the sagittal plane: (1) average CT pixel intensity within the PTV; (2) PTV mask; (3) brain, lungs, liver, bowel, and bladder masks. This "averaged" frontal view combined the information analyzed by the MP when setting the field geometry in the treatment planning system (TPS). Two CNNs were trained to predict the isocenters coordinates and jaws apertures for patients with (CNN-1) and without (CNN-2) isocenters on the arms. Local optimization methods were used to refine the models output based on the anatomy of the patient. Model evaluation was performed on a test set of 15 patients in two ways: (1) by computing the root mean squared error (RMSE) between the CNN output and ground truth; (2) with a qualitative assessment of manual and generated field geometries-scale: 1 = not adequate, 4 = adequate-carried out in blind mode by three MPs with different expertise in TMI/TMLI. The Wilcoxon signed-rank test was used to evaluate the independence of the given scores between manual and generated configurations (p < 0.05 significant). RESULTS The average and standard deviation values of RMSE for CNN-1 and CNN-2 before/after local optimization were 15 ± 2/13 ± 3 mm and 16 ± 2/18 ± 4 mm, respectively. The CNNs were integrated into a planning automation software for TMI/TMLI such that the MPs could analyze in detail the proposed field geometries directly in the TPS. The selection of the CNN model to create the field geometry was based on the PTV width to approximate the decision process of an experienced MP and provide a single option of field configuration. We found no significant differences between the manual and generated field geometries for any MP, with median values of 4 versus 4 (p = 0.92), 3 versus 3 (p = 0.78), 4 versus 3 (p = 0.48), respectively. Starting from October 2023, the generated field geometry has been introduced in our clinical practice for prospective patients. CONCLUSIONS The generated field geometries were clinically acceptable and adequate, even for an MP with high level of expertise in TMI/TMLI. Incorporating the knowledge of the MPs into the development cycle was crucial for optimizing the models, especially in this scenario with limited data.
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Affiliation(s)
- Nicola Lambri
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Giorgio Longari
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Ricardo Coimbra Brioso
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Leonardo Crespi
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
- Health Data Science Centre, Human Technopole, Milan, Italy
| | - Carmela Galdieri
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Francesca Lobefalo
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Giacomo Reggiori
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Roberto Rusconi
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Stefano Tomatis
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Luisa Bellu
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Stefania Bramanti
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Chiara De Philippis
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Damiano Dei
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Carmelo Carlo-Stella
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Ciro Franzese
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
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Franceschini D, Franzese C, Comito T, Ilieva MB, Spoto R, Marzo AM, Dominici L, Massaro M, Bellu L, Badalamenti M, Mancosu P, Scorsetti M. Definitive results of a prospective non-randomized phase 2 study on stereotactic body radiation therapy (sbrt) for medically inoperable lung and liver oligometastases from breast cancer. Radiother Oncol 2024:110240. [PMID: 38522597 DOI: 10.1016/j.radonc.2024.110240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 03/08/2024] [Accepted: 03/20/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND AND PURPOSE To report mature results for local control and survival in oligometastatic (OM) breast cancer patients treated with stereotactic body radiotherapy (SBRT) on lung and/or liver lesions in a phase II trial. METHODS This is a prospective non-randomized phase II trial (NCT02581670) which enrolled patients from 2015 to 2021. Eligibility criteria included: age > 18 years, ECOG 0-2, diagnosis of breast cancer, maximum of 4 lung/liver lesions (with a maximum diameter < 5 cm), metastatic disease confined to the lungs and liver or extrapulmonary or extrahepatic disease stable or responding to systemic therapy. The primary end-points were local control (LC) and treatment-related toxicities. The secondary end-points included overall survival (OS), distant metastasis-free survival (DMFS), time to next systemic therapy (TTNS), poly-progression free survival (PPFS). RESULTS The study included 64 patients with a total of 90 lesions treated with SBRT. LC at 1 and 2 years was 94.9 %, 91 % at 3 years. Median local control was not reached. Median OS was 16.5 months, OS at 1, 2 and 3 years was 87.5 %, 60.9 % and 51.9 %, respectively. Median DMFS was 8.3 months, DMFS at 1, 2 and 3 years was 38.1 %, 20.6 % and 16 % respectively. At univariate analysis, local response to SBRT was found to be statistically linked with better OS, DMFS and STFS. CONCLUSION SBRT is a safe and valid option in oligometastatic breast cancer patients, with very high rates of local control. An optimal selection of patients is likely needed to improve survival outcomes and reduce the rate of distant progression.
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Affiliation(s)
- D Franceschini
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy.
| | - C Franzese
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
| | - T Comito
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - M B Ilieva
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
| | - R Spoto
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - A M Marzo
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - L Dominici
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - M Massaro
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - L Bellu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - M Badalamenti
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - P Mancosu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano 20089 Milan, Italy
| | - M Scorsetti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
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3
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Dei D, Lambri N, Crespi L, Brioso RC, Loiacono D, Clerici E, Bellu L, De Philippis C, Navarria P, Bramanti S, Carlo-Stella C, Rusconi R, Reggiori G, Tomatis S, Scorsetti M, Mancosu P. Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation. Radiol Med 2024; 129:515-523. [PMID: 38308062 DOI: 10.1007/s11547-024-01760-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 01/03/2024] [Indexed: 02/04/2024]
Abstract
PURPOSE To improve the workflow of total marrow and lymphoid irradiation (TMLI) by enhancing the delineation of organs at risk (OARs) and clinical target volume (CTV) using deep learning (DL) and atlas-based (AB) segmentation models. MATERIALS AND METHODS Ninety-five TMLI plans optimized in our institute were analyzed. Two commercial DL software were tested for segmenting 18 OARs. An AB model for lymph node CTV (CTV_LN) delineation was built using 20 TMLI patients. The AB model was evaluated on 20 independent patients, and a semiautomatic approach was tested by correcting the automatic contours. The generated OARs and CTV_LN contours were compared to manual contours in terms of topological agreement, dose statistics, and time workload. A clinical decision tree was developed to define a specific contouring strategy for each OAR. RESULTS The two DL models achieved a median [interquartile range] dice similarity coefficient (DSC) of 0.84 [0.71;0.93] and 0.85 [0.70;0.93] across the OARs. The absolute median Dmean difference between manual and the two DL models was 2.0 [0.7;6.6]% and 2.4 [0.9;7.1]%. The AB model achieved a median DSC of 0.70 [0.66;0.74] for CTV_LN delineation, increasing to 0.94 [0.94;0.95] after manual revision, with minimal Dmean differences. Since September 2022, our institution has implemented DL and AB models for all TMLI patients, reducing from 5 to 2 h the time required to complete the entire segmentation process. CONCLUSION DL models can streamline the TMLI contouring process of OARs. Manual revision is still necessary for lymph node delineation using AB models.
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Affiliation(s)
- Damiano Dei
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Nicola Lambri
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
| | - Leonardo Crespi
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
- Health Data Science Centre, Human Technopole, Milan, Italy
| | - Ricardo Coimbra Brioso
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Elena Clerici
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Luisa Bellu
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Chiara De Philippis
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Pierina Navarria
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Stefania Bramanti
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Carmelo Carlo-Stella
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Roberto Rusconi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Giacomo Reggiori
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Stefano Tomatis
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Pietro Mancosu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy
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Hardcastle N, Josipovic M, Clementel E, Hernandez V, Smyth G, Gober M, Wilke L, Eaton D, Josset S, Lazarakis S, Saez J, Vieillevigne L, Jornet N, Mancosu P. Recommendation on the technical and dosimetric data to be included in stereotactic body radiation therapy clinical trial publications based on a systematic review. Radiother Oncol 2024; 190:110042. [PMID: 38043902 DOI: 10.1016/j.radonc.2023.110042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 11/26/2023] [Accepted: 11/27/2023] [Indexed: 12/05/2023]
Abstract
The results of phase II and III trials on Stereotactic Body Radiation Therapy (SBRT) increased adoption of SBRT worldwide. The ability to replicate clinical trial outcomes in routine practice depends on the capability to reproduce technical and dosimetric procedures used in the clinical trial. In this systematic review, we evaluated if peer-reviewed publications of clinical trials in SBRT reported sufficient technical data to ensure safe and robust implementation in real world clinics. Twenty papers were selected for inclusion, and data was extracted by a working group of medical physicists created following the ESTRO 2021 physics workshop. A large variability in technical and dosimetric data were observed, with frequent lack of required information for reproducing trial procedures. None of the evaluated studies were judged completely reproducible from a technical perspective. A list of recommendations has been provided by the group, based on the analysis and consensus process, to ensure an adequate reproducibility of technical parameters in primary SBRT clinical trials. Future publications should consider these recommendations to assist transferability of the clinical trial in real world practice.
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Affiliation(s)
- Nicholas Hardcastle
- Physical Sciences, Peter MacCallum Cancer Centre & Sir Peter MacCallum, Department of Oncology, University of Melbourne, Australia
| | - Mirjana Josipovic
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Enrico Clementel
- European Organisation for the Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Victor Hernandez
- Department of Medical Physics, Hospital Sant Joan de Reus, IISPV, 43204 Tarragona, Spain
| | - Gregory Smyth
- The London Radiotherapy Centre, HCA Healthcare UK, London, UK
| | - Manuela Gober
- Department of Radiation Oncology, Medical University of Vienna, Austria
| | - Lotte Wilke
- Department of Radiation Oncology, University Hospital Zurich, 8091 Zurich, Switzerland
| | | | - Stéphanie Josset
- Department of Medical Physics, Institut de Cancerologie de l'Ouest, 44805 Saint-Herblain, France
| | - Smaro Lazarakis
- Physical Sciences, Peter MacCallum Cancer Centre & Sir Peter MacCallum, Department of Oncology, University of Melbourne, Australia
| | - Jordi Saez
- Department of Radiation Oncology, Hospital Clínic de Barcelona, 08036 Barcelona, Spain
| | - Laure Vieillevigne
- Department of Medical Physics, Institut Claudius Regaud - Institut Universitaire du Cancer de Toulouse, F-31059 Toulouse, France
| | - Núria Jornet
- Servei de Radiofísica i Radioprotecció, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
| | - Pietro Mancosu
- Medical Physics Unit, Radiotherapy Department, IRCCS Humanitas Research Hospital, Rozzano-Milano, Italy
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5
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Guckenberger M, Andratschke N, Belka C, Bellut D, Cuccia F, Dahele M, Guninski RS, Josipovic M, Mancosu P, Minniti G, Niyazi M, Ricardi U, Munck Af Rosenschold P, Sahgal A, Tsang Y, Verbakel W, Alongi F. ESTRO clinical practice guideline: Stereotactic body radiotherapy for spine metastases. Radiother Oncol 2024; 190:109966. [PMID: 37925107 DOI: 10.1016/j.radonc.2023.109966] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND AND PURPOSE Recent progress in diagnostics and treatment of metastatic cancer patients have improved survival substantially. These developments also affect local therapies, with treatment aims shifting from short-term palliation to long-term symptom or disease control. There is consequently a need to better define the value of stereotactic body radiotherapy (SBRT) for the treatment of spinal metastases. METHODS This ESTRO clinical practice guideline is based on a systematic literature review conducted according to PRISMA standards, which formed the basis for answering four key questions about the indication and practice of SBRT for spine metastases. RESULTS The analysis of the key questions based on current evidence yielded 22 recommendations and 5 statements with varying levels of endorsement, all achieving a consensus among experts of at least 75%. In the majority, the level of evidence supporting the recommendations and statements was moderate or expert opinion, only, indicating that spine SBRT is still an evolving field of clinical research. Recommendations were established concerning the selection of appropriate patients with painful spine metastases and oligometastatic disease. Recommendations about the practice of spinal SBRT covered technical planning aspects including dose and fractionation, patient positioning, immobilization and image-guided SBRT delivery. Finally, recommendations were developed regarding quality assurance protocols, including description of potential SBRT-related toxicity and risk mitigation strategies. CONCLUSIONS This ESTRO clinical practice guideline provides evidence-based recommendations and statements regarding the selection of patients with spinal metastases for SBRT and its safe implementation and practice. Enrollment of patients into well-designed prospective clinical trials addressing clinically relevant questions is considered important.
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Affiliation(s)
- M Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - N Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - C Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), partner site Munich, Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - D Bellut
- University Hospital Zurich, University of Zurich, Department of Neurosurgery, Zurich, Switzerland
| | - F Cuccia
- ARNAS Civico Hospital, Radiation Oncology Unit, Palermo, Italy
| | - M Dahele
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiation Oncology and Cancer Center Amsterdam, de Boelelaan 1117, Amsterdam, the Netherlands
| | - R S Guninski
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - M Josipovic
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9 2100, Copenhagen, Denmark; Department of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B 2200, Copenhagen, Denmark
| | - P Mancosu
- IRCCS Humanitas Research Hospital, Medical Physics Unit, Radiation Oncology department, via Manzoni 56 I-20089, Rozzano, Milan, Italy
| | - G Minniti
- Department of Radiological Sciences, Oncology and Anatomical Pathology Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, IS, Italy
| | - M Niyazi
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - U Ricardi
- University of Turin, Department of Oncology, Turin, Italy
| | | | - A Sahgal
- Odette Cancer Center of the Sunnybrook Health Sciences Center, Department of Radiation Oncology, Toronto, Canada
| | - Y Tsang
- Princess Margaret Cancer Centre, Radiation Medicine Program, Toronto, Canada
| | - Wfar Verbakel
- Amsterdam University Medical Center, Department of Radiation Oncology, Amsterdam, the Netherlands
| | - F Alongi
- Advanced Radiation Department, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar-Verona, Italy; University of Brescia, Italy
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6
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Guninski RS, Cuccia F, Alongi F, Andratschke N, Belka C, Bellut D, Dahele M, Josipovic M, Kroese TE, Mancosu P, Minniti G, Niyazi M, Ricardi U, Munck Af Rosenschold P, Sahgal A, Tsang Y, Verbakel WFAR, Guckenberger M. Efficacy and safety of SBRT for spine metastases: A systematic review and meta-analysis for preparation of an ESTRO practice guideline. Radiother Oncol 2024; 190:109969. [PMID: 37922993 DOI: 10.1016/j.radonc.2023.109969] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 10/18/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND AND PURPOSE Advances in characterizing cancer biology and the growing availability of novel targeted agents and immune therapeutics have significantly changed the prognosis of many patients with metastatic disease. Palliative radiotherapy needs to adapt to these developments. In this study, we summarize the available evidence for stereotactic body radiotherapy (SBRT) in the treatment of spinal metastases. MATERIALS AND METHODS A systematic review and meta-analysis was performed using PRISMA methodology, including publications from January 2005 to September 2021, with the exception of the randomized phase III trial RTOG-0631 which was added in April 2023. Re-irradiation was excluded. For meta-analysis, a random-effects model was used to pool the data. Heterogeneity was assessed with the I2-test, assuming substantial and considerable as I2 > 50 % and I2 > 75 %, respectively. A p-value < 0.05 was considered statistically significant. RESULTS A total of 69 studies assessing the outcomes of 7236 metastases in 5736 patients were analyzed. SBRT for spine metastases showed high efficacy, with a pooled overall pain response rate of 83 % (95 % confidence interval [CI] 68 %-94 %), pooled complete pain response of 36 % (95 % CI: 20 %-53 %), and 1-year local control rate of 94 % (95 % CI: 86 %-99 %), although with high levels of heterogeneity among studies (I2 = 93 %, I2 = 86 %, and 86 %, respectively). Furthermore, SBRT was safe, with a pooled vertebral fracture rate of 9 % (95 % CI: 4 %-16 %), pooled radiation induced myelopathy rate of 0 % (95 % CI 0-2 %), and pooled pain flare rate of 6 % (95 % CI: 3 %-17 %), although with mixed levels of heterogeneity among the studies (I2 = 92 %, I2 = 0 %, and 95 %, respectively). Only 1.7 % of vertebral fractures required surgical stabilization. CONCLUSION Spine SBRT is characterized by a favorable efficacy and safety profile, providing durable results for pain control and disease control, which is particularly relevant for oligometastatic patients.
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Affiliation(s)
- R S Guninski
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - F Cuccia
- ARNAS Civico Hospital, Radiation Oncology Unit, Palermo, Italy
| | - F Alongi
- Advanced Radiation Department, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar-Verona, Italy. University of Brescia, Italy
| | - N Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - C Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany. German Cancer Consortium (DKTK), partner site Munich, Munich, Germany. Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - D Bellut
- University Hospital Zurich, University of Zurich, Department of Neurosurgery. Zurich, Switzerland
| | - M Dahele
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiation Oncology and Cancer Center Amsterdam, de Boelelaan 1117, Amsterdam, The Netherlands
| | - M Josipovic
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - T E Kroese
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - P Mancosu
- IRCCS Humanitas Research Hospital, Medical Physics Unit, Radiation Oncology department, via Manzoni 56, I-20089 Rozzano, Milan, Italy
| | - G Minniti
- Department of Radiological Sciences, Oncology and Anatomical PathologySapienza University of Rome, Rome; IRCCS Neuromed, Pozzilli, IS, Italy
| | - M Niyazi
- Department of Radiation Oncology, University hospital Tübingen, Tübingen, Germany
| | - U Ricardi
- University of Turin, Department of Oncology, Turin, Italy
| | - P Munck Af Rosenschold
- Radiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden; Medical Radiation Physics, Lund University, Lund, Sweden
| | - A Sahgal
- Odette Cancer Center of the Sunnybrook Health Sciences Center, Department of Radiation Oncology, Toronto, Canada
| | - Y Tsang
- Princess Margaret Cancer Centre, Radiation Medicine Program, Toronto, Canada
| | - W F A R Verbakel
- Amsterdam University Medical Center, Department of Radiation Oncology, Amsterdam, The Netherlands
| | - M Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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7
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Esposito M, Mancosu P, Bruschi A, Ghirelli A, Pini S, Alpi P, Barca R, Paoli CD, Meacci F, Leonulli BG, Fondelli S, Paoletti L, Scoccianti S, Russo S. Correction to: The role of EPID in vivo dosimetry in the risk management of stereotactic lung treatments. Strahlenther Onkol 2024; 200:106. [PMID: 37923943 DOI: 10.1007/s00066-023-02168-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2023]
Affiliation(s)
- Marco Esposito
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy.
- International Center for Theoretical Physics, Strada Costiera, 11, 34151, Trieste, Italy.
| | - Pietro Mancosu
- Medical Physics Unit of Radiotherapy Dept., IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Andrea Bruschi
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
| | - Alessandro Ghirelli
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
| | - Silvia Pini
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
| | - Paolo Alpi
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Raffaella Barca
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Camilla Delli Paoli
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Fiammetta Meacci
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | | | - Simona Fondelli
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Lisa Paoletti
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Silvia Scoccianti
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Serenella Russo
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
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8
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Franzese C, Lucchini R, Roghi M, Badalamenti M, Baldaccini D, Comito T, Franceschini D, Navarria P, Di Cristina L, Lo Faro L, Galdieri C, Reggiori G, Mancosu P, Tomatis S, Scorsetti M. Oligometastatic Prostate Cancer Treated with Stereotactic Body Radiation Therapy: The Role of Three-Dimensional Tumour Volume in Patient Survival. Clin Oncol (R Coll Radiol) 2023; 35:e649-e656. [PMID: 37775459 DOI: 10.1016/j.clon.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/25/2023] [Accepted: 09/13/2023] [Indexed: 10/01/2023]
Abstract
AIMS The definition of oligometastatic prostate cancer (OPCa) is currently based solely on the maximum number of detectable metastases, as there are no validated biomarkers available. The aim of this study was to identify novel predictive factors for OPCa patients who underwent metastases-directed therapy. MATERIALS AND METHODS This monocentre, retrospective study included consecutive OPCa patients with a maximum of five metastases in up to two organs, detected with choline- or PSMA-positron emission tomography, who were treated with metastases-directed stereotactic body radiation therapy. Endpoints were overall survival and progression-free survival, assessed with Kaplan-Meier analysis. Univariate and multivariable Cox regression was carried out to evaluate the association between clinical factors and survival outcomes. RESULTS Between 2009 and 2021, 163 patients and 320 metastases were treated with 226 stereotactic body radiation therapy courses. The median three-dimensional metastatic tumour volume was 4.1 cm3, with a range from 0.01 to 233.4 cm3. In total, 87 (53.4%), 21 (12.9%) and 55 (33.7%) metastases were classified as cN1, cM1a and cM1b, respectively. The median follow-up was 28.5 months. The rates of overall survival at 1, 3 and 5 years were 89.5% (95% confidence interval 83.4-93.4), 74.9% (95% confidence interval 66.1-81.7) and 57.2% (95% confidence interval 45.8-67.1), respectively. Multivariable analysis showed that overall survival reduced with the increase in three-dimensional total tumour volume (hazard ratio 1.93, 95% confidence interval 1.06-3.52; P = 0.030) and confirmed a significant difference between cN1 versus cM1a-b disease (hazard ratio 1.81, 95% confidence interval 1.01-3.25; P = 0.046). The cut-off value of total volume correlated with the highest risk of death was 20 cm3 (hazard ratio 2.37, 95% confidence interval 1.34-4.18; P = 0.003). The median progression-free survival was 17.8 months, with 1-, 3- and 5-year rates of 63.7% (95% confidence interval 55.4-70.9), 31.5% (95% confidence interval 22.8-40.6) and 24.7% (95% confidence interval 16.0-34.3). CONCLUSIONS This study identified three-dimensional total tumour volume and the site of oligometastases as significant predictors of survival in OPCa patients treated with metastases-directed therapy. These parameters can potentially be used to personalised treatment and improve patient outcome.
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Affiliation(s)
- C Franzese
- Department of Biomedical Sciences, Humanitas University, Milan, Italy; IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy.
| | - R Lucchini
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - M Roghi
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - M Badalamenti
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - D Baldaccini
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - T Comito
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - D Franceschini
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - P Navarria
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - L Di Cristina
- Department of Biomedical Sciences, Humanitas University, Milan, Italy; IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - L Lo Faro
- Department of Biomedical Sciences, Humanitas University, Milan, Italy; IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - C Galdieri
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - G Reggiori
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - P Mancosu
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - S Tomatis
- IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
| | - M Scorsetti
- Department of Biomedical Sciences, Humanitas University, Milan, Italy; IRCCS Humanitas Research Hospital, Department of Radiotherapy and Radiosurgery, Milan, Italy
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9
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Esposito M, Mancosu P, Bruschi A, Ghirelli A, Pini S, Alpi P, Barca R, Paoli CD, Meacci F, Leonulli BG, Fondelli S, Paoletti L, Scoccianti S, Russo S. The role of EPID in vivo dosimetry in the risk management of stereotactic lung treatments. Strahlenther Onkol 2023; 199:992-999. [PMID: 37256302 DOI: 10.1007/s00066-023-02081-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 03/26/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND AND OBJECTIVE In this work we report our experience with the use of in vivo dosimetry (IVD) in the risk management of stereotactic lung treatments. METHODS A commercial software based on the electronic portal imaging device (EPID) signal was used to reconstruct the actual planning target volume (PTV) dose of stereotactic lung treatments. The study was designed in two phases: i) in the observational phase, the IVD results of 41 consecutive patients were reviewed and out-of-tolerance cases were studied for root cause analysis; ii) in the active phase, the IVD results of 52 patients were analyzed and corrective actions were taken when needed. Moreover, proactive preventions were further introduced to reduce the risk of future failures. The error occurrence rate was analyzed to evaluate the effectiveness of proactive actions. RESULTS A total of 330 fractions were analyzed. In the first phase, 13 errors were identified. In the active phase, 12 errors were detected, 5 of which needed corrective actions; in 4 patients the actions taken corrected the error. Several preventions and barriers were introduced to reduce the risk of future failures: the planning checklist was updated, the procedure for vacuum pillows was improved, and use of the respiratory compression belt was optimized. A decrease in the failure rate was observed, showing the effectiveness of procedural adjustment. CONCLUSION The use of IVD allowed the quality of lung stereotactic body radiation therapy (SBRT) treatments to be improved. Patient-specific and procedural corrective actions were successfully taken as part of risk management, leading to an overall improvement in the dosimetric accuracy.
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Affiliation(s)
- Marco Esposito
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy.
- International Center for Theoretical Physics, Strada Costiera, 11, 34151, Trieste, Italy.
| | - Pietro Mancosu
- Medical Physics Unit of Radiotherapy Dept., IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Andrea Bruschi
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
| | - Alessandro Ghirelli
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
| | - Silvia Pini
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
| | - Paolo Alpi
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Raffaella Barca
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Camilla Delli Paoli
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Fiammetta Meacci
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | | | - Simona Fondelli
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Lisa Paoletti
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Silvia Scoccianti
- S. C. Radioterapia, Firenze-Azienda Sanitaria USL Toscana Centro, Firenze, Italy
| | - Serenella Russo
- S. C. Fisica Sanitaria, Firenze-Azienda Sanitaria USL Toscana Centro, Via dell'Antella 58, 50012, Bagno a Ripoli, Firenze, Italy
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10
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Parsons D, Lim TY, Teruel JR, Galavis P, Agostinelli S, Liang J, Mancosu P, Cherpak A, Stanley DN, Ahn KH, Guo B, Gonzalez Y, Burmeister J, Wong JY, Gu X, Kim GGY. Considerations for intensity modulated total body or total marrow and lymphoid irradiation. Clin Transl Radiat Oncol 2023; 43:100674. [PMID: 37753462 PMCID: PMC10518336 DOI: 10.1016/j.ctro.2023.100674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/18/2023] [Accepted: 09/07/2023] [Indexed: 09/28/2023] Open
Abstract
We compiled a sampling of the treatment techniques of intensity-modulated total body irradiation, total marrow irradiation and total marrow and lymphoid irradiation utilized by several centers across North America and Europe. This manuscript does not serve as a consensus guideline, but rather is meant to serve as a convenient reference for centers that are considering starting an intensity-modulated program.
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Affiliation(s)
- David Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Tze Yee Lim
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jose R. Teruel
- Department of Radiation Oncology, New York University Langone Health, New York, NY, USA
| | - Paulina Galavis
- Department of Radiation Oncology, New York University Langone Health, New York, NY, USA
| | | | - Jieming Liang
- Department of Radiation Oncology, City of Hope National Medical Center City of Hope National Medical Center, Duarte, CA, USA
| | - Pietro Mancosu
- IRCCS Humanitas Research Hospital, Medical Physics Unit, Rozzano, Milan, Italy
| | - Amanda Cherpak
- Department of Radiation Oncology and Department of Medical Physics, Nova Scotia Health, Halifax, Nova Scotia, Canada
| | - Dennis N. Stanley
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kang-Hyun Ahn
- Department of Radiation Oncology, University of Illinois, Chicago, IL and Radiation and Cellular Oncology, University of Chicago, Chicago, IL, USA
| | - Bingqi Guo
- Department of Radiation Oncology, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Yesenia Gonzalez
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jay Burmeister
- Department of Oncology, Wayne State University School of Medicine, Karmanos Cancer Center, Detroit, MI, USA
| | - Jeffrey Y.C. Wong
- Department of Radiation Oncology, City of Hope National Medical Center City of Hope National Medical Center, Duarte, CA, USA
| | - Xuejun Gu
- Department of Radiation Oncology, Stanford University, Palo Alto, CA, USA
| | - Grace Gwe-Ya Kim
- Radiation Medicine and Applied Science, University of California San Diego, La Jolla, CA, USA
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11
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Malatesta T, Scaggion A, Giglioli FR, Belmonte G, Casale M, Colleoni P, Falco MD, Giuliano A, Linsalata S, Marino C, Moretti E, Richetto V, Sardo A, Russo S, Mancosu P. Patient specific quality assurance in SBRT: a systematic review of measurement-based methods. Phys Med Biol 2023; 68:21TR01. [PMID: 37625437 DOI: 10.1088/1361-6560/acf43a] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/25/2023] [Indexed: 08/27/2023]
Abstract
This topical review focuses on Patient-Specific Quality Assurance (PSQA) approaches to stereotactic body radiation therapy (SBRT). SBRT requires stricter accuracy than standard radiation therapy due to the high dose per fraction and the limited number of fractions. The review considered various PSQA methods reported in 36 articles between 01/2010 and 07/2022 for SBRT treatment. In particular comparison among devices and devices designed for SBRT, sensitivity and resolution, verification methodology, gamma analysis were specifically considered. The review identified a list of essential data needed to reproduce the results in other clinics, highlighted the partial miss of data reported in scientific papers, and formulated recommendations for successful implementation of a PSQA protocol.
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Affiliation(s)
- Tiziana Malatesta
- Medical Physics Unit, Department of Radiotherapy and Medical Oncology and Radiology, Fatebenefratelli Isola Tiberina-Gemelli Isola Hospital, Rome, Italy
| | - Alessandro Scaggion
- Medical Physics Department, Veneto Institute of Oncology IOV - IRCCS, Padova, Italy
| | | | - Gina Belmonte
- Medical Physics Department, San Luca Hospital, Lucca, Italy
| | - Michelina Casale
- Medical Physics Unit, Azienda Ospedaliera 'Santa Maria', Terni, Italy
| | - Paolo Colleoni
- UOC Medical Physics Unit-ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Maria Daniela Falco
- Department of Radiation Oncology, 'SS. Annunziata' Hospital, 'G. D'Annunzio' University, Chieti, Italy
| | - Alessia Giuliano
- Medical Physics Unit, Pisa University Hospital 'Azienda Ospedaliero-Universitaria Pisana', Pisa, Italy
| | - Stefania Linsalata
- Medical Physics Unit, Pisa University Hospital 'Azienda Ospedaliero-Universitaria Pisana', Pisa, Italy
| | - Carmelo Marino
- Medical Physics and Radioprotection Unit, Humanitas Istituto Clinico Catanese, Misterbianco (CT), Italy
| | - Eugenia Moretti
- Division of Medical Physics, Department of Oncology, ASUFC Udine, Italy
| | - Veronica Richetto
- Medical Physics Unit, A.O.U. Città della Salute e della Scienza di Torino, Torino, Italy
| | - Anna Sardo
- UOSD Medical Physics, ASLCN2, Verduno, Italy
| | - Serenella Russo
- Medical Physics Unit, Azienda USL Toscana Centro, Florence, Italy
| | - Pietro Mancosu
- Medical Physics Unit of Radiotherapy Department, IRCCS Humanitas Research Hospital, Rozzano - Milano, Italy
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12
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Franzese C, Vernier V, Franceschini D, Comito T, Navarria P, Clerici E, Teriaca MA, Massaro M, Di Cristina L, Marini B, Galdieri C, Mancosu P, Tomatis S, Scorsetti M. Total tumor volume as a predictor of survival in patients with multiple oligometastases treated with stereotactic ablative radiotherapy (SABR). J Cancer Res Clin Oncol 2023; 149:10495-10503. [PMID: 37280407 DOI: 10.1007/s00432-023-04964-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 06/02/2023] [Indexed: 06/08/2023]
Abstract
BACKGROUND Delivering stereotactic ablative radiotherapy (SABR) in patients with multiple oligometastases represents a challenge for clinical and technical reasons. We aimed to evaluate the outcome of patients affected by multiple oligometastases treated with SABR and the impact of tumor volume on survival. MATERIALS AND METHODS We included all the patients treated with single course SABR for 3 to 5 extracranial oligometastases. All patients were treated with the volumetric modulated arc therapy (VMAT) technique with ablative intent. End-points of the analysis were overall survival (OS), progression free survival (PFS), local control (LC) and toxicity. RESULTS 136 patients were treated from 2012 to 2020 on 451 oligometastases. Most common primary tumor was colorectal cancer (44.1%) followed by lung cancer (11.8%). A total of 3, 4 and 5 lesions were simultaneously treated in 102 (75.0%), 26 (19.1%), and 8 (5.9%) patients, respectively. Median total tumor volume (TTV) was 19.1 cc (range 0.6-245.1). With a median follow-up of 25.0 months, OS at 1 and 3 years was 88.4% and 50.2%, respectively. Increasing TTV was independent predictive factor of worse OS (HR 2.37, 95% CI 1.18-4.78, p = 0.014) and PFS (HR 1.63, 95% CI 1.05-2.54; p = 0.028). Median OS was 80.6 months if tumor volume was ≤ 10 cc (1 and 3 years OS rate 93.6% and 77.5%, respectively), and 31.1 months if TTV was higher than 10 cc (1 and 3 years OS rate 86.7% and 42.3%, respectively). Rates of LC at 1 and 3 years were 89.3% and 76.5%. In terms of toxicity, no grade 3 or higher toxicity was reported both in the acute and late settings. CONCLUSION We demonstrated the impact of tumor volume on survival and disease control of patients affected by multiple oligometastases treated with single course SABR.
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Affiliation(s)
- Ciro Franzese
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090, Milan, Italy.
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy.
| | - Veronica Vernier
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Davide Franceschini
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Tiziana Comito
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Pierina Navarria
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Elena Clerici
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Maria Ausilia Teriaca
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Maria Massaro
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Luciana Di Cristina
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Beatrice Marini
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Carmela Galdieri
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Pietro Mancosu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Stefano Tomatis
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090, Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
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13
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Tomatis S, Mancosu P, Reggiori G, Lobefalo F, Gallo P, Lambri N, Paganini L, La Fauci F, Bresolin A, Parabicoli S, Pelizzoli M, Navarria P, Franzese C, Lenoci D, Scorsetti M. Twenty Years of Advancements in a Radiotherapy Facility: Clinical Protocols, Technology, and Management. Curr Oncol 2023; 30:7031-7042. [PMID: 37504370 PMCID: PMC10378035 DOI: 10.3390/curroncol30070510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Hypo-fractionation can be an effective strategy to lower costs and save time, increasing patient access to advanced radiation therapy. To demonstrate this potential in practice within the context of temporal evolution, a twenty-year analysis of a representative radiation therapy facility from 2003 to 2022 was conducted. This analysis utilized comprehensive data to quantitatively evaluate the connections between advanced clinical protocols and technological improvements. The findings provide valuable insights to the management team, helping them ensure the delivery of high-quality treatments in a sustainable manner. METHODS Several parameters related to treatment technique, patient positioning, dose prescription, fractionation, equipment technology content, machine workload and throughput, therapy times and patients access counts were extracted from departmental database and analyzed on a yearly basis by means of linear regression. RESULTS Patients increased by 121 ± 6 new per year (NPY). Since 2010, the incidence of hypo-fractionation protocols grew thanks to increasing Linac technology. In seven years, both the average number of fractions and daily machine workload decreased by -0.84 ± 0.12 fractions/year and -1.61 ± 0.35 patients/year, respectively. The implementation of advanced dose delivery techniques, image guidance and high dose rate beams for high fraction doses, currently systematically used, has increased the complexity and reduced daily treatment throughput since 2010 from 40 to 32 patients per 8 h work shift (WS8). Thanks to hypo-fractionation, such an efficiency drop did not affect NPY, estimating 693 ± 28 NPY/WS8, regardless of the evaluation time. Each newly installed machine was shown to add 540 NPY, while absorbing 0.78 ± 0.04 WS8. The COVID-19 pandemic brought an overall reduction of 3.7% of patients and a reduction of 0.8 fractions/patient, to mitigate patient crowding in the department. CONCLUSIONS The evolution of therapy protocols towards hypo-fractionation was supported by the use of proper technology. The characteristics of this process were quantified considering time progression and organizational aspects. This strategy optimized resources while enabling broader access to advanced radiation therapy. To truly value the benefit of hypo-fractionation, a reimbursement policy should focus on the patient rather than individual treatment fractionation.
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Affiliation(s)
- Stefano Tomatis
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Pietro Mancosu
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Giacomo Reggiori
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Francesca Lobefalo
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Pasqualina Gallo
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Nicola Lambri
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Lucia Paganini
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Francesco La Fauci
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Andrea Bresolin
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Sara Parabicoli
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Marco Pelizzoli
- Medical Physics Service, Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Pierina Navarria
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Ciro Franzese
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
| | - Domenico Lenoci
- Development Strategic Initiatives Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Marta Scorsetti
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
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Franzese C, Dei D, Lambri N, Teriaca MA, Badalamenti M, Crespi L, Tomatis S, Loiacono D, Mancosu P, Scorsetti M. Enhancing Radiotherapy Workflow for Head and Neck Cancer with Artificial Intelligence: A Systematic Review. J Pers Med 2023; 13:946. [PMID: 37373935 DOI: 10.3390/jpm13060946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/01/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Head and neck cancer (HNC) is characterized by complex-shaped tumors and numerous organs at risk (OARs), inducing challenging radiotherapy (RT) planning, optimization, and delivery. In this review, we provided a thorough description of the applications of artificial intelligence (AI) tools in the HNC RT process. METHODS The PubMed database was queried, and a total of 168 articles (2016-2022) were screened by a group of experts in radiation oncology. The group selected 62 articles, which were subdivided into three categories, representing the whole RT workflow: (i) target and OAR contouring, (ii) planning, and (iii) delivery. RESULTS The majority of the selected studies focused on the OARs segmentation process. Overall, the performance of AI models was evaluated using standard metrics, while limited research was found on how the introduction of AI could impact clinical outcomes. Additionally, papers usually lacked information about the confidence level associated with the predictions made by the AI models. CONCLUSIONS AI represents a promising tool to automate the RT workflow for the complex field of HNC treatment. To ensure that the development of AI technologies in RT is effectively aligned with clinical needs, we suggest conducting future studies within interdisciplinary groups, including clinicians and computer scientists.
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Affiliation(s)
- Ciro Franzese
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Damiano Dei
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Nicola Lambri
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Maria Ausilia Teriaca
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marco Badalamenti
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Leonardo Crespi
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
- Centre for Health Data Science, Human Technopole, 20157 Milan, Italy
| | - Stefano Tomatis
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Pietro Mancosu
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, Rozzano, 20089 Milan, Italy
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15
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Lambri N, Hernandez V, Sáez J, Pelizzoli M, Parabicoli S, Tomatis S, Loiacono D, Scorsetti M, Mancosu P. Multicentric evaluation of a machine learning model to streamline the radiotherapy patient specific quality assurance process. Phys Med 2023; 110:102593. [PMID: 37104920 DOI: 10.1016/j.ejmp.2023.102593] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 03/02/2023] [Accepted: 04/14/2023] [Indexed: 04/29/2023] Open
Abstract
PURPOSE Patient-specific quality assurance (PSQA) is performed to ensure that modulated treatment plans can be delivered as intended, but constitutes a substantial workload that could slow down the radiotherapy process and delay the start of clinical treatments. In this study, we investigated a machine learning (ML) tree-based ensemble model to predict the gamma passing rate (GPR) for volumetric modulated arc therapy (VMAT) plans. MATERIALS AND METHODS 5622 VMAT plans from multiple treatment sites were selected from a database of Institution 1 and the ML model trained using 19 metrics. PSQA analyses were performed automatically using criteria 3%/1 mm (global normalization, absolute dose, 10% threshold) and 95% action limit. Model's performance was evaluated on an out-of-sample test set of Institution 1 and on two independent sets of measurements collected at Institution 2 and Institution 3. Mean absolute error (MAE), as well as the model's sensitivity and specificity, were computed. RESULTS The model obtained a MAE of 2.33%, 2.54% and 3.91% for the three Institutions, with a specificity of 0.90, 0.90 and 0.68, and a sensitivity of 0.61, 0.25, and 0.55, respectively. Small positive median values of the residuals (i.e., the difference between measurements and predictions) were observed for each Institution (0.95%, 1.66%, and 3.42%). Thus, the model's predictions were, on average, close to the real values and provided a conservative estimation of the GPR. CONCLUSIONS ML models can be integrated into clinical practice to streamline the radiotherapy workflow, but they should be center-specific or thoroughly verified within centers before clinical use.
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Affiliation(s)
- Nicola Lambri
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, 20089 Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy
| | - Victor Hernandez
- Department of Medical Physics, Hospital Universitari Sant Joan de Reus, IISPV, Tarragona, Spain
| | - Jordi Sáez
- Department of Radiation Oncology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Marco Pelizzoli
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, 20089 Rozzano, Milan, Italy; Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Milan, Italy
| | - Sara Parabicoli
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, 20089 Rozzano, Milan, Italy; Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Milan, Italy
| | - Stefano Tomatis
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, 20089 Rozzano, Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Marta Scorsetti
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, 20089 Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy
| | - Pietro Mancosu
- IRCCS Humanitas Research Hospital, Radiotherapy and Radiosurgery Department, via Manzoni 56, 20089 Rozzano, Milan, Italy.
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Lambri N, Dei D, Hernandez V, Castiglioni I, Clerici E, De Philippis C, Loiacono D, Navarria P, Reggiori G, Rusconi R, Tomatis S, Bramanti S, Scorsetti M, Mancosu P. Evaluation of plan complexity and dosimetric plan quality of total marrow and lymphoid irradiation using volumetric modulated arc therapy. J Appl Clin Med Phys 2023:e13931. [PMID: 37085997 DOI: 10.1002/acm2.13931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 11/23/2022] [Accepted: 01/22/2023] [Indexed: 04/23/2023] Open
Abstract
PURPOSE To assess the impact of the planner's experience and optimization algorithm on the plan quality and complexity of total marrow and lymphoid irradiation (TMLI) delivered by means of volumetric modulated arc therapy (VMAT) over 2010-2022 at our institute. METHODS Eighty-two consecutive TMLI plans were considered. Three complexity indices were computed to characterize the plans in terms of leaf gap size, irregularity of beam apertures, and modulation complexity. Dosimetric points of the target volume (D2%) and organs at risk (OAR) (Dmean) were automatically extracted to combine them with plan complexity and obtain a global quality score (GQS). The analysis was stratified based on the different optimization algorithms used over the years, including a knowledge-based (KB) model. Patient-specific quality assurance (QA) using Portal Dosimetry was performed retrospectively, and the gamma agreement index (GAI) was investigated in conjunction with plan complexity. RESULTS Plan complexity significantly reduced over the years (r = -0.50, p < 0.01). Significant differences in plan complexity and plan dosimetric quality among the different algorithms were observed. Moreover, the KB model allowed to achieve significantly better dosimetric results to the OARs. The plan quality remained similar or even improved during the years and when moving to a newer algorithm, with GQS increasing from 0.019 ± 0.002 to 0.025 ± 0.003 (p < 0.01). The significant correlation between GQS and time (r = 0.33, p = 0.01) indicated that the planner's experience was relevant to improve the plan quality of TMLI plans. Significant correlations between the GAI and the complexity metrics (r = -0.71, p < 0.01) were also found. CONCLUSION Both the planner's experience and algorithm version are crucial to achieve an optimal plan quality in TMLI plans. Thus, the impact of the optimization algorithm should be carefully evaluated when a new algorithm is introduced and in system upgrades. Knowledge-based strategies can be useful to increase standardization and improve plan quality of TMLI treatments.
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Affiliation(s)
- Nicola Lambri
- Medical Physics Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Damiano Dei
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Victor Hernandez
- Department of Medical Physics, Hospital Universitari Sant Joan de Reus, IISPV, Tarragona, Catalonia, Spain
| | - Isabella Castiglioni
- Department of Physics "G. Occhialini", University of Milan-Bicocca, Milano, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Chiara De Philippis
- Bone Marrow Transplantation Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Giacomo Reggiori
- Medical Physics Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Roberto Rusconi
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Stefano Tomatis
- Medical Physics Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Stefania Bramanti
- Bone Marrow Transplantation Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Pietro Mancosu
- Medical Physics Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
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Lambri N, Antonetti SL, Dei D, Bellu L, Bramanti S, Brioso RC, Carlo-Stella C, Castiglioni I, Clerici E, Crespi L, De Philippis C, Galdieri C, Loiacono D, Navarria P, Reggiori G, Rusconi R, Tomatis S, Scorsetti M, Mancosu P. Impact of the Extremities Positioning on the Set-Up Reproducibility for the Total Marrow Irradiation Treatment. Curr Oncol 2023; 30:4067-4077. [PMID: 37185422 PMCID: PMC10136565 DOI: 10.3390/curroncol30040309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/01/2023] [Accepted: 04/04/2023] [Indexed: 05/17/2023] Open
Abstract
Total marrow (lymph node) irradiation (TMI/TMLI) delivery requires more time than standard radiotherapy treatments. The patient's extremities, through the joints, can experience large movements. The reproducibility of TMI/TMLI patients' extremities was evaluated to find the best positioning and reduce unwanted movements. Eighty TMI/TMLI patients were selected (2013-2022). During treatment, a cone-beam computed tomography (CBCT) was performed for each isocenter to reposition the patient. CBCT-CT pairs were evaluated considering: (i) online vector shift (OVS) that matched the two series; (ii) residual vector shift (RVS) to reposition the patient's extremities; (iii) qualitative agreement (range 1-5). Patients were subdivided into (i) arms either leaning on the frame or above the body; (ii) with or without a personal cushion for foot positioning. The Mann-Whitney test was considered (p < 0.05 significant). Six-hundred-twenty-nine CBCTs were analyzed. The median OVS was 4.0 mm, with only 1.6% of cases ranked < 3, and 24% of RVS > 10 mm. Arms leaning on the frame had significantly smaller RVS than above the body (median: 8.0 mm/6.0 mm, p < 0.05). Using a personal cushion for the feet significantly improved the RVS than without cushions (median: 8.5 mm/1.8 mm, p < 0.01). The role and experience of the radiotherapy team are fundamental to optimizing the TMI/TMLI patient setup.
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Affiliation(s)
- Nicola Lambri
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Milan, Italy
| | - Simone Leopoldo Antonetti
- Radiation Oncology Department, SS. Antonio e Biagio e Cesare Arrigo Hospital, 15121 Alessandria, Italy
| | - Damiano Dei
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Milan, Italy
| | - Luisa Bellu
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Stefania Bramanti
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Ricardo Coimbra Brioso
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Carmelo Carlo-Stella
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Milan, Italy
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Isabella Castiglioni
- Department of Physics "G. Occhialini", University of Milan-Bicocca, Piazza della Scienza 2, 20126 Milan, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Leonardo Crespi
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
- Centre for Health Data Science, Human Technopole, 20157 Milan, Italy
| | - Chiara De Philippis
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Carmela Galdieri
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Giacomo Reggiori
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Milan, Italy
| | - Roberto Rusconi
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Milan, Italy
| | - Stefano Tomatis
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Milan, Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Milan, Italy
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Lambri N, Dei D, Hernandez V, Castiglioni I, Clerici E, Crespi L, De Philippis C, Loiacono D, Navarria P, Reggiori G, Rusconi R, Tomatis S, Bramanti S, Scorsetti M, Mancosu P. Automatic planning of the lower extremities for total marrow irradiation using volumetric modulated arc therapy. Strahlenther Onkol 2023; 199:412-419. [PMID: 36326856 PMCID: PMC10033624 DOI: 10.1007/s00066-022-02014-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/25/2022] [Indexed: 11/05/2022]
Abstract
PURPOSE Total marrow (and lymphoid) irradiation (TMI-TMLI) is limited by the couch travel range of modern linacs, which forces the treatment delivery to be split into two plans with opposite orientations: a head-first supine upper-body plan, and a feet-first supine lower extremities plan. A specific field junction is thus needed to obtain adequate target coverage in the overlap region of the two plans. In this study, an automatic procedure was developed for field junction creation and lower extremities plan optimization. METHODS Ten patients treated with TMI-TMLI at our institution were selected retrospectively. The planning of the lower extremities was performed automatically. Target volume parameters (CTV_J‑V98% > 98%) at the junction region and several dose statistics (D98%, Dmean, and D2%) were compared between automatic and manual plans. The modulation complexity score (MCS) was used to assess plan complexity. RESULTS The automatic procedure required 60-90 min, depending on the case. All automatic plans achieved clinically acceptable dosimetric results (CTV_J‑V98% > 98%), with significant differences found at the junction region, where Dmean and D2% increased on average by 2.4% (p < 0.03) and 3.0% (p < 0.02), respectively. Similar plan complexity was observed (median MCS = 0.12). Since March 2022, the automatic procedure has been introduced in our clinic, reducing the TMI-TMLI simulation-to-delivery schedule by 2 days. CONCLUSION The developed procedure allowed treatment planning of TMI-TMLI to be streamlined, increasing efficiency and standardization, preventing human errors, while maintaining the dosimetric plan quality and complexity of manual plans. Automated strategies can simplify the future adoption and clinical implementation of TMI-TMLI treatments in new centers.
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Affiliation(s)
- Nicola Lambri
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Damiano Dei
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Victor Hernandez
- Department of Medical Physics, Hospital Universitari Sant Joan de Reus, IISPV, Tarragona, Spain
| | - Isabella Castiglioni
- Department of Physics "G. Occhialini", University of Milan-Bicocca, piazza della Scienza 2, 20126, Milano, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Leonardo Crespi
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
- Human Techopole, Centre for Health Data Science, Milan, Italy
| | - Chiara De Philippis
- Bone Marrow Transplantation Unit, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Giacomo Reggiori
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Roberto Rusconi
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Stefano Tomatis
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Stefania Bramanti
- Bone Marrow Transplantation Unit, IRCCS Humanitas Research Hospital, Milan, Rozzano, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.
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19
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Franzese C, Tomatis S, Bianchi SP, Pelizzoli M, Teriaca MA, Badalamenti M, Comito T, Clerici E, Franceschini D, Navarria P, Di Cristina L, Dei D, Galdieri C, Reggiori G, Mancosu P, Scorsetti M. Adaptive Volumetric-Modulated Arc Radiation Therapy for Head and Neck Cancer: Evaluation of Benefit on Target Coverage and Sparing of Organs at Risk. Curr Oncol 2023; 30:3344-3354. [PMID: 36975467 PMCID: PMC10047863 DOI: 10.3390/curroncol30030254] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023] Open
Abstract
Background: Radiotherapy is essential in the management of head–neck cancer. During the course of radiotherapy, patients may develop significant anatomical changes. Re-planning with adaptive radiotherapy may ensure adequate dose coverage and sparing of organs at risk. We investigated the consequences of adaptive radiotherapy on head–neck cancer patients treated with volumetric-modulated arc radiation therapy compared to simulated non-adaptive plans: Materials and methods: We included in this retrospective dosimetric analysis 56 patients treated with adaptive radiotherapy. The primary aim of the study was to analyze the dosimetric differences with and without an adaptive approach for targets and organs at risk, particularly the spinal cord, parotid glands, oral cavity and larynx. The original plan (OPLAN) was compared to the adaptive plan (APLAN) and to a simulated non-adaptive dosimetric plan (DPLAN). Results: The non-adaptive DPLAN, when compared to OPLAN, showed an increased dose to all organs at risk. Spinal cord D2 increased from 27.91 (21.06–31.76) Gy to 31.39 (27.66–38.79) Gy (p = 0.00). V15, V30 and V45 of the DPLAN vs. the OPLAN increased by 20.6% (p = 0.00), 14.78% (p = 0.00) and 15.55% (p = 0.00) for right parotid; and 16.25% (p = 0.00), 18.7% (p = 0.00) and 20.19% (p = 0.00) for left parotid. A difference of 36.95% was observed in the oral cavity V40 (p = 0.00). Dose coverage was significantly reduced for both CTV (97.90% vs. 99.96%; p = 0.00) and PTV (94.70% vs. 98.72%; p = 0.00). The APLAN compared to the OPLAN had similar values for all organs at risk. Conclusions: The adaptive strategy with re-planning is able to avoid an increase in dose to organs at risk and better target coverage in head–neck cancer patients, with potential benefits in terms of side effects and disease control.
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Affiliation(s)
- Ciro Franzese
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
- Correspondence: ; Tel.: +39-0282247454
| | - Stefano Tomatis
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Sofia Paola Bianchi
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Marco Pelizzoli
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Maria Ausilia Teriaca
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Marco Badalamenti
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Tiziana Comito
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Elena Clerici
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Davide Franceschini
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Pierina Navarria
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Luciana Di Cristina
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Damiano Dei
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Carmela Galdieri
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Giacomo Reggiori
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Pietro Mancosu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20090 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy
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20
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Dei D, Lambri N, Stefanini S, Vernier V, Brioso RC, Crespi L, Clerici E, Bellu L, De Philippis C, Loiacono D, Navarria P, Reggiori G, Bramanti S, Rodari M, Tomatis S, Chiti A, Carlo-Stella C, Scorsetti M, Mancosu P. Internal Guidelines for Reducing Lymph Node Contour Variability in Total Marrow and Lymph Node Irradiation. Cancers (Basel) 2023; 15:cancers15051536. [PMID: 36900326 PMCID: PMC10000500 DOI: 10.3390/cancers15051536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/21/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
BACKGROUND The total marrow and lymph node irradiation (TMLI) target includes the bones, spleen, and lymph node chains, with the latter being the most challenging structures to contour. We evaluated the impact of introducing internal contour guidelines to reduce the inter- and intraobserver lymph node delineation variability in TMLI treatments. METHODS A total of 10 patients were randomly selected from our database of 104 TMLI patients so as to evaluate the guidelines' efficacy. The lymph node clinical target volume (CTV_LN) was recontoured according to the guidelines (CTV_LN_GL_RO1) and compared to the historical guidelines (CTV_LN_Old). Both topological (i.e., Dice similarity coefficient (DSC)) and dosimetric (i.e., V95 (the volume receiving 95% of the prescription dose) metrics were calculated for all paired contours. RESULTS The mean DSCs were 0.82 ± 0.09, 0.97 ± 0.01, and 0.98 ± 0.02, respectively, for CTV_LN_Old vs. CTV_LN_GL_RO1, and between the inter- and intraobserver contours following the guidelines. Correspondingly, the mean CTV_LN-V95 dose differences were 4.8 ± 4.7%, 0.03 ± 0.5%, and 0.1 ± 0.1%. CONCLUSIONS The guidelines reduced the CTV_LN contour variability. The high target coverage agreement revealed that historical CTV-to-planning-target-volume margins were safe, even if a relatively low DSC was observed.
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Affiliation(s)
- Damiano Dei
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Nicola Lambri
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
- Correspondence: (N.L.); (S.T.)
| | - Sara Stefanini
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Veronica Vernier
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Ricardo Coimbra Brioso
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Leonardo Crespi
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
- Health Data Science Centre, Human Technopole, 20157 Milan, Italy
| | - Elena Clerici
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Luisa Bellu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Chiara De Philippis
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Pierina Navarria
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Giacomo Reggiori
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Stefania Bramanti
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marcello Rodari
- Department of Nuclear Medicine, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Stefano Tomatis
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
- Correspondence: (N.L.); (S.T.)
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Nuclear Medicine, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Carmelo Carlo-Stella
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Pietro Mancosu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
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21
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Franzese C, Lillo S, Cozzi L, Teriaca MA, Badalamenti M, Di Cristina L, Vernier V, Stefanini S, Dei D, Pergolizzi S, De Virgilio A, Mercante G, Spriano G, Mancosu P, Tomatis S, Scorsetti M. Predictive value of clinical and radiomic features for radiation therapy response in patients with lymph node-positive head and neck cancer. Head Neck 2023; 45:1184-1193. [PMID: 36815619 DOI: 10.1002/hed.27332] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/02/2023] [Accepted: 02/14/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Prediction of survival and radiation therapy response is challenging in head and neck cancer with metastatic lymph nodes (LNs). Here we developed novel radiomics- and clinical-based predictive models. METHODS Volumes of interest of LNs were employed for radiomic features extraction. Radiomic and clinical features were investigated for their predictive value relatively to locoregional failure (LRF), progression-free survival (PFS), and overall survival (OS) and used to build multivariate models. RESULTS Hundred and six subjects were suitable for final analysis. Univariate analysis identified two radiomic features significantly predictive for LRF, and five radiomic features plus two clinical features significantly predictive for both PFS and OS. The area under the curve of receiver operating characteristic curve combining clinical and radiomic predictors for PFS and OS resulted 0.71 (95%CI: 0.60-0.83) and 0.77 (95%CI: 0.64-0.89). CONCLUSIONS Radiomic and clinical features resulted to be independent predictive factors, but external independent validation is mandatory to support these findings.
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Affiliation(s)
- Ciro Franzese
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Sara Lillo
- Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Luca Cozzi
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Maria Ausilia Teriaca
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Marco Badalamenti
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Luciana Di Cristina
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Veronica Vernier
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Sara Stefanini
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Damiano Dei
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Stefano Pergolizzi
- Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Armando De Virgilio
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Giuseppe Mercante
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Giuseppe Spriano
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Pietro Mancosu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Stefano Tomatis
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.,Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, Rozzano, Italy
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22
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Pallotta S, Calusi S, Marrazzo L, Talamonti C, Russo S, Esposito M, Fiandra C, Giglioli FR, Pimpinella M, De Coste V, Bruschi A, Barbiero S, Mancosu P, Stasi M, Lisci R. End-to-end test for lung SBRT: An Italian multicentric pilot experience. Phys Med 2022; 104:129-135. [PMID: 36401941 DOI: 10.1016/j.ejmp.2022.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 09/13/2022] [Accepted: 11/05/2022] [Indexed: 11/17/2022] Open
Abstract
PURPOSE Set up a lung SBRT end-to-end (e2e) test and perform a multicentre validation. MATERIAL AND METHODS A group of medical physicists from four hospitals and the Italian Institute of Ionizing Radiation Metrology designed the present e2e test. One sub-group set up the test, while another tested its feasibility and ease of use. A satisfaction questionnaire was used to collect user feedback. Each participating centre (PC) received the ADAM breathing phantom, a microDiamond detector and radiochromic films. Following the e2e protocol, each PC performed its standard internal procedure for simulating, planning, and irradiating the phantom. Each PC uploaded its planning and treatment delivery data in a shared Google Drive. A single centre analyzed all the data. RESULTS The e2e test was successfully performed by all PCs. Participants' comments indicated that ADAM was well suited to the purpose and the protocol well described. All PCs performed the test in static and dynamic modes. The ratio between measured and planned point dose obtained by PC1, PC2, PC3, PC4 was: 0.99, 0.96, 1.01 and 1.01 (static track) and 0.99, 1.02, 1.01 and 0.94 (dynamic track). The gamma passing rates (3 % global, 3 mm) between planned and measured dose maps were 98.5 %, 94.0 %, 99.1 % and 94.0 % (static track) and 99.5 %, 96.5 %, 86.0 % and 94.5 % (dynamic track) for PC1, PC2, PC3 and PC4, respectively. CONCLUSIONS An e2e test for lung SBRT has been proposed and tested in a multicentre framework. The results and user feedback prove the validity of the proposed e2e test.
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Affiliation(s)
- S Pallotta
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy; Medical Physics Unit, AOU Careggi Florence, Italy.
| | - S Calusi
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - L Marrazzo
- Medical Physics Unit, AOU Careggi Florence, Italy
| | - C Talamonti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy; Medical Physics Unit, AOU Careggi Florence, Italy
| | - S Russo
- Health Physics Unit, Azienda USL Toscana Centro Florence, Italy
| | - M Esposito
- Health Physics Unit, Azienda USL Toscana Centro Florence, Italy
| | - C Fiandra
- Oncology Department, University of Tourin, Tourin, Italy
| | - F R Giglioli
- Health Physics Unit A. O. Città della Salute e della Scienza di Torino P.O. Molinette, Tourin, Italy
| | - M Pimpinella
- National Institute of Ionizing Radiation Metrology, ENEA-INMRI, Rome, Italy
| | - V De Coste
- National Institute of Ionizing Radiation Metrology, ENEA-INMRI, Rome, Italy
| | - A Bruschi
- Medical Physics Unit San Rossore, Pisa, Italy
| | - S Barbiero
- Medical Physics Unit San Rossore, Pisa, Italy
| | - P Mancosu
- IRCCS Humanitas Research Hospital, Rozzano (MI), Italy
| | - M Stasi
- Health Physics - AO Ordine Mauriziano, Tourin, Italy
| | - R Lisci
- Department of Agricultural, Food and Forestry System, University of Florence, Florence, Italy
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23
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Mancosu P, Lambri N, Castiglioni I, Dei D, Iori M, Loiacono D, Russo S, Talamonti C, Villaggi E, Scorsetti M, Avanzo M. Applications of artificial intelligence in stereotactic body radiation therapy. Phys Med Biol 2022; 67. [DOI: 10.1088/1361-6560/ac7e18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 07/04/2022] [Indexed: 11/12/2022]
Abstract
Abstract
This topical review focuses on the applications of artificial intelligence (AI) tools to stereotactic body radiation therapy (SBRT). The high dose per fraction and the limited number of fractions in SBRT require stricter accuracy than standard radiation therapy. The intent of this review is to describe the development and evaluate the possible benefit of AI tools integration into the radiation oncology workflow for SBRT automation. The selected papers were subdivided into four sections, representative of the whole radiotherapy process: ‘AI in SBRT target and organs at risk contouring’, ‘AI in SBRT planning’, ‘AI during the SBRT delivery’, and ‘AI for outcome prediction after SBRT’. Each section summarises the challenges, as well as limits and needs for improvement to achieve better integration of AI tools in the clinical workflow.
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24
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Giacomello E, Dei D, Lambri N, Mancosu P, Loiacono D. PO-1641 Virtual brain MRI missing sequences creation using machine learning generative adversarial networks. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03605-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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25
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Franzese C, Poretti D, Comito T, Muglia R, Lo Faro L, Ceriani C, Pedicini V, Teriaca A, Lanza E, D'antuono F, Solbiati L, Mancosu P, Tomatis S, Scorsetti M. MO-0222 Propensity score-based comparison of SBRT versus thermal ablation for hepatocellular carcinoma. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02324-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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26
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Villaggi E, Russo S, Hernandez V, Moustakis C, Blanck O, Esposito M, Hardcastle N, de Blas Piñol R, Saez J, Doro R, Masi L, Strigari L, Strolin S, Falco M, Silvestri V, Nardiello B, Broggi S, Savini A, Stasi M, Mancosu P. PD-0789 A global quality index for prostate SBRT with and without SIB: a multiplanning study. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07068-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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27
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Falco MD, Fusella M, Clemente S, Fiandra C, Gallio E, Garibaldi C, Bagalà P, Borzì G, Casale M, Casati M, Consorti R, Delana A, Esposito M, Malatesta T, Menghi E, Reggiori G, Russo S, Stasi M, Mancosu P. The influence of basic plan parameters on calculated small field output factors - A multicenter study. Phys Med 2021; 88:98-103. [PMID: 34217003 DOI: 10.1016/j.ejmp.2021.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 06/02/2021] [Accepted: 06/04/2021] [Indexed: 10/21/2022] Open
Abstract
PURPOSE The influence of basic plan parameters such as slice thickness, grid resolution, algorithm type and field size on calculated small field output factors (OFs) was evaluated in a multicentric study. METHODS AND MATERIALS Three computational homogeneous water phantoms with slice thicknesses (ST) 1, 2 and 3 mm were shared among twenty-one centers to calculate OFs for 1x1, 2x2 and 3x3 cm2 field sizes (FSs) (normalized to 10x10 cm2 FS), with their own treatment planning system (TPS) and the energy clinically used for stereotactic body radiation therapy delivery. OFs were calculated for each combination of grid resolution (GR) (1, 2 and 3 mm) and ST and finally compared with the OFs measured for the TPS commissioning. A multivariate analysis was performed to test the effect of basic plan parameters on calculated OFs. RESULTS A total of 509 data points were collected. Calculated OFs are slightly higher than measured ones. The multivariate analysis showed that Center, GR, algorithm type, and FS are predictive variables of the difference between calculated and measured OFs (p < 0.001). As FS decreases, the spread in the difference between calculated and measured OFs became larger when increasing the GR. Monte Carlo and Analytical Anisotropic Algorithms, presented a dependence on GR (p < 0.01), while Collapsed Cone Convolution and Acuros did not. The effect of the ST was found to be negligible. CONCLUSIONS Modern TPSs slightly overestimate the calculated small field OFs compared with measured ones. Grid resolution, algorithm, center number and field size influence the calculation of small field OFs.
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Affiliation(s)
- Maria Daniela Falco
- Department of Radiation Oncology, "G. D'Annunzio" University, "SS. Annunziata" Hospital, Chieti, Italy
| | - Marco Fusella
- Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata 64, Padova, Italy
| | - Stefania Clemente
- Unit of Medical Physic and Radioprotection. Azienda Ospedaliera Universitaria Federico II, Naples, Italy
| | - Christian Fiandra
- Department of Oncology - Radiation Oncology, University of Turin, Turin, Italy
| | - Elena Gallio
- Department of Oncology - Radiation Oncology, University of Turin, Turin, Italy
| | - Cristina Garibaldi
- IEO, European Institute of Oncology IRCCS, Unit of Radiation Research, Milan, Italy
| | - Paolo Bagalà
- Universita' Campus Bio-medico di Roma, Via Alvaro del Portillo, 200 Rome, Italy
| | | | - Michelina Casale
- Struttura Semplice di Fisica Sanitaria Azienda Ospedaliera "Santa Maria" Terni, Italy
| | - Marta Casati
- MedicalPhysics Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Rita Consorti
- Medical Physics Unit, S. Filippo Neri Hospital, ASL Roma 1, Rome, Italy
| | - Anna Delana
- Servizio di Fisica Sanitaria Ospedale S. Chiara A.P.S.S. Trento, Italy
| | - Marco Esposito
- Medical Physics Unit, Azienda USL Toscana Centro, Florence, Italy
| | - Tiziana Malatesta
- Fisica Medica, Ospedale Fatebenefratelli S.Giovanni Calibita- Rome, Italy
| | - Enrico Menghi
- Medical Physics Unit, Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori" - IRST S.r.l.Istituto di Ricovero e Cura a Carattere Scientifico, Meldola (FC), Italy
| | - Giacomo Reggiori
- Medical Physics Unit of Radiation Oncology Dept., Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy
| | - Serenella Russo
- Medical Physics Unit, Azienda USL Toscana Centro, Florence, Italy.
| | - Michele Stasi
- Medical Physics Department, A.O. Ordine Mauriziano, Turin, Italy
| | - Pietro Mancosu
- Medical Physics Unit of Radiation Oncology Dept., Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy
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28
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Sarina B, Mancosu P, Navarria P, Bramanti S, Mariotti J, De Philippis C, Clerici E, Franzese C, Mannina D, Valli V, Carlo-Stella C, Scorsetti M, Santoro A, Castagna L. Nonmyeloablative Conditioning Regimen Including Low-Dose Total Marrow/Lymphoid Irradiation Before Haploidentical Transplantation with Post-Transplantation Cyclophosphamide in Patients with Advanced Lymphoproliferative Diseases. Transplant Cell Ther 2021; 27:492.e1-492.e6. [PMID: 33857448 DOI: 10.1016/j.jtct.2021.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/09/2021] [Accepted: 03/09/2021] [Indexed: 10/21/2022]
Abstract
Low-dose total body irradiation (TBI) has long been used in nonmyeloablative conditioning (NMAC) regimens before allogeneic stem cell transplantation from haploidentical donors (haplo-SCT). More recently, the use of total marrow lymphoid irradiation (TMLI) instead of TBI in conditioning is increasing. This study aimed to evaluate outcomes in a cohort of patients treated with low-dose TMLI in terms of engraftment, full donor chimerism status, graft-versus-host disease (GVHD), and extrahematologic toxicities, and to compare these outcomes with those in a cohort of patients receiving conventional TBI-containing conditioning. This retrospective single-center study included 100 patients with advanced hematologic malignancies who underwent haplo-SCT. Between 2009 and 2011, the NMAC regimen consisted of cyclophosphamide, fludarabine, and low-dose TBI (2 Gy), and after 2011, TBI was replaced with TMLI (2 Gy). Patients received post-transplantation cyclophosphamide, calcineurin inhibitor, and mycophenolate mofetil as GVHD prophylaxis. For all patients, the median time to absolute neutrophil count (ANC) recovery to >0.5 × 109/L was 21 days (range, 15 to 49 days), the 30-day incidence of ANC recovery was 97% (95% confidence interval [CI], 89% to 99%), the median time to achieve an unsupported platelet count >20 × 109/L was 26 days (range, 12 to 67 days), and the 60-day rate of platelet engraftment was 99% (95% CI, 89% to 100%). Cumulative incidence of full donor chimerism by day 100 was 88% (95% CI 79-90). Grade II-IV acute GVHD occurred in 35% of the patients (95% CI, 26% to 45%) at a median of 40 days (range, 23 to 166 days). The incidence of moderate to severe chronic GVHD was 5% (95% CI, 2% to 10%). No differences between the TBI and TMLI cohorts were seen in terms of engraftment, full donor chimerism, and GVHD. No organ toxicity was observed in the first months after transplantation in either cohort. The overall 2-year OS and PFS rates were 63%, and 54%, respectively, and were comparable in the 2 groups (P = .548). The strongest finding was that TBI can be safely replaced by TMLI in terms of engraftment, achievement of full donor chimerism status, GVHD incidence, and extrahematologic toxicities.
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Affiliation(s)
- Barbara Sarina
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Stefania Bramanti
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Jacopo Mariotti
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Chiara De Philippis
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Ciro Franzese
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Daniele Mannina
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Viviana Valli
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy
| | - Carmelo Carlo-Stella
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Armando Santoro
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Luca Castagna
- BMT Unit, Humanitas Clinical and Research Center-IRCCS, Humanitas Cancer Center, Milan, Italy.
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Mancosu P, Russo S, Antonucci AR, Stasi M. Lean Thinking to manage a national working group on physics aspects of Stereotactic Body Radiation Therapy. Med Phys 2021; 48:2050-2056. [PMID: 33598932 DOI: 10.1002/mp.14783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/21/2021] [Accepted: 02/09/2021] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To report how the adoption of a Lean Thinking mindset in the management of a national working group (WG) on the physics of stereotactic body radiation therapy (SBRT) contributed to achieve SBRT standardization objectives. METHODS Vision for the WG has been established as fragmentation reduction and process harmonization enhancement in SBRT for Italian centers. Two main research themes of the technical aspects of SBRT emerged as areas with major standardization improvement needs, small field dosimetry and SBRT planning comparisons, to be investigated through multi-institutional studies. The management of the WG leveraged on the Lean concept of fostering self-organization in a non-hierarchical environment. Four progressive involvement levels were defined for each study. No specific "scientific" pre-experience was required to propose and coordinate a project, just requiring a voluntary commitment. People engagement was measured in terms of number of published articles. The standardization goals have been conducted through a simplified "5S" (Sort, Set in Order, Shine, Standardize, and Sustain) methodology, first considering a phase of awareness (the first three "S"), then identifying and implementing standardization actions (the last two "S"). RESULTS Since the beginning, 157 medical physicists joined the AIFM/SBRT-WG. Twenty-four papers/reviews/letters have been published in the period 2014-2019 on major radiation oncology journals, authored by >100 physicists (>50% working in small hospitals). Six over 12 first authors worked in peripheral/small hospitals, with no prior publication as first author. These studies contributed to the awareness and standardization phases for both small-field dosimetry and planning. In particular, errors in small-field measurements in 8% of centers were detected thanks to a generalized output factor curve in function of the effective field size created by averaging data available from different Linacs. Furthermore, planner's experience in SBRT was correlated with dosimetric parameters in the awareness phase; while sharing median dose volume histograms (DVHs) reduced variability among centers while keeping the same level of plan complexity. Finally, all the dosimetric parameters statistically significant to the planner experience during the awareness phase, were no longer significantly different in the standardization phase. CONCLUSIONS The experience of our SBRT-WG has shown how a Lean Thinking mindset could foster the SBRT procedure standardization and spread the physics of SBRT knowledge, enhancing personal growth. Our expectation is to inspire other scientific societies that have to deal with fragmented contexts or pursue processes harmonization through Lean principles.
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Affiliation(s)
- Pietro Mancosu
- Medical Physics Unit, Radiotherapy Department, IRCCS Humanitas Research Hospital, Milano, Italy
| | - Serenella Russo
- Medical Physics Unit, Azienda USL Toscana Centro, Firenze, Italy
| | | | - Michele Stasi
- Medical Physics Department, A.O. Ordine Mauriziano di Torino, Turin, Italy
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Mancosu P, Hernandez V, Esposito M, Moustakis C, Russo S, Blanck O. Application of the RATING score: In regards to Hansen et al. Radiother Oncol 2021; 158:309-310. [PMID: 33493501 DOI: 10.1016/j.radonc.2020.12.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/24/2020] [Accepted: 12/24/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Pietro Mancosu
- Medical Physics Unit of Radiation Oncology Dept., Humanitas Clinical and Research Hospital-IRCCS, Milano, Italy
| | - Victor Hernandez
- Department of Medical Physics, Hospital Universitari Sant Joan de Reus, Tarragona, Spain
| | - Marco Esposito
- Medical Physics Unit, AUSL Toscana Centro, Florence, Italy.
| | - Christos Moustakis
- Department of Radiation Oncology, University Hospital Muenster, Muenster, Germany
| | | | - Oliver Blanck
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
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Mancosu P, Signori C, Clerici E, Comito T, D'Agostino GR, Franceschini D, Franzese C, Lobefalo F, Navarria P, Paganini L, Reggiori G, Tomatis S, Scorsetti M. Critical Re-Evaluation of a Failure Mode Effect Analysis in a Radiation Therapy Department After 10 Years. Pract Radiat Oncol 2020; 11:e329-e338. [PMID: 33197646 DOI: 10.1016/j.prro.2020.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/26/2020] [Accepted: 11/03/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE Failure mode effect analysis (FMEA) is a proactive methodology that allows one to analyze a process, regardless of whether an adverse event occurs. In our radiation therapy (RT) department, a first FMEA was performed in 2009. In this paper we critically re-evaluate the RT process after 10 years and present it in terms of a lesson learned. METHODS AND MATERIALS A working group (WG), led by a qualified clinical risk engineer, which included radiation oncologists, physicists, a radiation therapist, and a nurse, evaluated the possible failure modes (FMs) of the RT process. For each FM, the estimated frequency of occurrence (O, range 1-4), the expected severity of the damage (S, range 1-5), and the detectability lack (D, range 1-4) were scored. A risk priority number (RPN) was obtained as RPN = OxSxD. The data were compared with the 2009 edition. RESULTS In the 2020 analysis, 67 FMs were identified (27 in the 2009 series). The absolute risk values of the previous 3 highest FMs were generally reduced. The patient identification risk (highest value in the 2009 analysis) was reduced from 48.0 to 6.9, becoming the 51st RPN score, thanks to a patient barcode recognition within the bunker. The 2020 highest risk values regarded: (i-2020) the patient's inadequate recollection and reporting of his/her medical history (ie, anamnesis) during the first medical examination and (ii-2020) the incorrect interpretation of tumor and normal tissue in computed tomography images. The WG proposed corrective actions. CONCLUSIONS In this single institution experience, the 10-year FMEA analysis showed a reduction in the previous higher RPN values thanks to the corrective actions taken. The new FMs and subsequent RPNs reveal the need for a continuous iterative improvement process.
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Affiliation(s)
- Pietro Mancosu
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy.
| | - Chiara Signori
- Risk Management Unit, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Tiziana Comito
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | | | - Davide Franceschini
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Ciro Franzese
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Francesca Lobefalo
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Piera Navarria
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Lucia Paganini
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Giacomo Reggiori
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Stefano Tomatis
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center-IRCCS, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy
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Loi M, Comito T, Franzese C, Clerici E, Badalamenti M, Reggiori G, Mancosu P, Tomatis S, Rimassa L, Santoro A, Scorsetti M. PO-1069: SBRT in Hepatocellular Carcinoma: impact of dose regimen and treatment sequence. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01086-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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D'Agostino G, Di Brina L, Franzese C, Iftode C, Mancosu P, De Rose F, Clerici E, Reggiori G, Badalamenti M, Scorsetti M. PO-1189: VMAT SBRT for localized prostate cancer: 5-year update on toxicity and survival. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01207-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Franceschini D, Loi M, De Rose F, Franzese C, Giuseppe D, Navarria P, Mancosu P, Tomatis S, Scorsetti M. PO-1010: Stereotactic Body Radiation Therapy is safe and effective for ultracentral lung lesions. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01027-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Franzese C, Comito T, Franceschini D, Loi M, Clerici E, Navarria P, De Rose F, Tozzi A, Di Brina L, Mancosu P, Reggiori G, Tomatis S, Scorsetti M. PO-1055: Recursive partitioning model based analysis for oligometastatic colorectal cancer treated with SBRT. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01072-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Mancosu P, Signori C, Clerici E, Comito T, De Rose F, Ferrante S, Ferrara M, Galdieri C, Iftode C, Navarria P, Stravato A, Scorsetti M. PD-0546: Ten years critical re-evaluation of a Failure mode effect analysis in a radiotherapy department. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00568-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Loi M, Comito T, Franzese C, Dominici L, Lo Faro L, Clerici E, Franceschini D, Mancosu P, Reggiori G, Gallo P, Badalamenti M, Scorsetti M. Stereotactic body radiotherapy in hepatocellular carcinoma: patient selection and predictors of outcome and toxicity. J Cancer Res Clin Oncol 2020; 147:927-936. [PMID: 32945972 DOI: 10.1007/s00432-020-03389-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 09/08/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Stereotactic Body Radiotherapy (SBRT) emerged as a valuable option in early to advanced-stage Hepatocellular Carcinoma (HCC) as defined by Barcelona Clinic Liver Cancer (BCLC) system. The aim of our study is to evaluate SBRT in HCC patients and to identify predictors of outcome and toxicity. MATERIALS AND METHODS A retrospective review of HCC patients treated at our Institution between November 2011 and December 2018 was carried out. SBRT was delivered in 3-10 fractions to a median Biologically Effective Dose (BED10) of 103 Gy10. RESULTS SBRT was performed in 128 patients to 217 HCC localizations, accounting for 142 treatment courses. BCLC stage was A, B, C in, respectively, 40 (31%), 72 (56%) and 16 (13%) patients. Local Control (LC), Progression Free Survival (PFS) and Overall Survival (OS) at 2 years were, respectively: 78%, 15% and 58%. LC was influenced by BED10 > 120 Gy10 (Hazard Ratio, HR: 0.08, 95% CI 0.01-0.59; p = 0.013) and size ≥ 3 cm (HR: 2.71, 95% CI 1.10-6.66; p = 0.03). BCLC stage was correlated to PFS (median 14 vs 12 vs 5 months, p = 0.012). In BCLC stage A-B disease (n = 112), LC was associated with improved survival (median 30 months vs not reached, p = 0.036). Acute and late toxicity rate was 26% (n = 37) and 8% (n = 11). Patients with BCLC B-C stage disease showed increased acute toxicity (HR: 2.9, 95% CI 1.10-7.65; p = 0.032). CONCLUSION Delivery of ablative doses > 120 Gy10 and tumor size are determinants of LC. Prolonged PFS and improved OS can be obtained in BCLC A-B patients. Grade 3 liver dysfunction is infrequent.
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Affiliation(s)
- Mauro Loi
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
| | - Tiziana Comito
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Ciro Franzese
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Luca Dominici
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
- Radiotherapy Department, University of Florence, Florence, Italy
| | - Lorenzo Lo Faro
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Davide Franceschini
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Giacomo Reggiori
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Pasqualina Gallo
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
| | - Marco Badalamenti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
- Radiotherapy Department, University of Florence, Florence, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, IRCSS, Via Manzoni 56, 20089, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
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Franzese C, Badalamenti M, Comito T, Franceschini D, Clerici E, Navarria P, Loi M, D'agostino G, Baldaccini D, Chiola I, Reggiori G, Mancosu P, Tomatis S, Scorsetti M. Assessing the role of Stereotactic Body Radiation Therapy in a large cohort of patients with lymph node oligometastases: Does it affect systemic treatment’s intensification? Radiother Oncol 2020; 150:184-190. [DOI: 10.1016/j.radonc.2020.06.029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 06/12/2020] [Accepted: 06/18/2020] [Indexed: 02/07/2023]
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D'Agostino GR, Mancosu P, Di Brina L, Franzese C, Pasini L, Iftode C, Comito T, De Rose F, Guazzoni GF, Scorsetti M. Stereotactic Body Radiation Therapy for Intermediate-risk Prostate Cancer With VMAT and Real-time Electromagnetic Tracking: A Phase II Study. Am J Clin Oncol 2020; 43:628-635. [PMID: 32889832 DOI: 10.1097/coc.0000000000000721] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Stereotactic body radiation treatment represents an intriguing therapeutic option for patients with early-stage prostate cancer. In this phase II study, stereotactic body radiation treatment was delivered by volumetric modulated arc therapy with flattening filter free beams and was gated using real-time electromagnetic transponder system to maximize precision of radiotherapy and, potentially, to reduce toxicities. MATERIALS AND METHODS Patients affected by histologically proven prostate adenocarcinoma and National Comprehensive Cancer Network (NCCN) intermediate class of risk were enrolled in this phase II study. Beacon transponders were positioned transrectally within the prostate parenchyma 7 to 10 days before simulation computed tomography scan. The radiotherapy schedule was 38 Gy in 4 fractions delivered every other day. Toxicity assessment was performed according to Common Terminology Criteria for Adverse Events (CTCAE), v4.0. RESULTS Thirty-six patients were enrolled in this study. Median initial prostate-specific antigen was 7.0 ng/mL (range: 2.3 to 14.0 ng/mL). Median nadir-prostate-specific antigen after treatment was 0.2 ng/mL (range: 0.006 to 4.8 ng/mL). A genitourinary acute toxicity was observed in 21 patients (dysuria grade [G] 1: 41.7%, G2: 16.7%). Gastrointestinal acute toxicity was found in 9 patients (proctitis G1: 19.4%, G2: 5.6%). Late toxicity was mild (genitourinary toxicity G1: 30.6%; G2: 8.3%; gastrointestinal toxicity G1: 13.9%; G2: 19.4%). At a median follow-up time of 41 months, 3 biochemical recurrences were observed (2 local recurrences, 1 distant metastasis). Three-year biochemical recurrence-free survival was 89.8% (International Society of Urologic Pathology Grade Group 2: 100%, Grade Group 3: 77.1%, P=0.042). CONCLUSION Ultrahypofractionated radiotherapy, delivered with flattening filter free-volumetric modulated arc therapy and gated by electromagnetic transponders, is a valid option for intermediate-risk prostate cancer.
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Affiliation(s)
| | | | | | - Ciro Franzese
- Departments of Radiotherapy and Radiosurgery
- Department of Biomedical Sciences, Humanitas University, Rozzano-Milan, Italy
| | | | | | | | | | - Giorgio F Guazzoni
- Urology, Humanitas Clinical and Research Center
- Department of Biomedical Sciences, Humanitas University, Rozzano-Milan, Italy
| | - Marta Scorsetti
- Departments of Radiotherapy and Radiosurgery
- Department of Biomedical Sciences, Humanitas University, Rozzano-Milan, Italy
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Esposito M, Villaggi E, Bresciani S, Cilla S, Falco MD, Garibaldi C, Russo S, Talamonti C, Stasi M, Mancosu P. Clarifications on our review on estimating dose delivery accuracy in stereotactic body radiation therapy: A review of in-vivo measurement methods: In response to the letter of Kos. Radiother Oncol 2020; 153:320-321. [PMID: 32663534 DOI: 10.1016/j.radonc.2020.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/01/2020] [Accepted: 07/01/2020] [Indexed: 11/17/2022]
Affiliation(s)
- Marco Esposito
- S.C. Fisica Sanitaria Firenze-Empoli, Azienda Sanitaria USL Toscana Centro, Italy
| | | | - Sara Bresciani
- Medical Physics, Candiolo Cancer Institute - FPO IRCCS, Turin, Italy
| | - Savino Cilla
- Medical Physics Unit, Gemelli Molise Hospital, Campobasso, Italy
| | - Maria Daniela Falco
- Department of Radiation Oncology "G. D'Annunzio", University of Chieti, SS. Annunziata Hospital, Chieti, Italy
| | - Cristina Garibaldi
- Radiation Research Unit, European Institute of Oncology IRCCS, Milan, Italy
| | - Serenella Russo
- S.C. Fisica Sanitaria Firenze-Empoli, Azienda Sanitaria USL Toscana Centro, Italy
| | - Cinzia Talamonti
- University of Florence, Dept Biomedical Experimental and Clinical Science, "Mario Serio", Medical Physics Unit, AOU Careggi, Florence, Italy
| | - Michele Stasi
- Medical Physics, Candiolo Cancer Institute - FPO IRCCS, Turin, Italy.
| | - Pietro Mancosu
- Medical Physics Unit of Radiotherapy Dept., Humanitas Clinical and Research Hospital - IRCCS, Rozzano, Italy
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Esposito M, Villaggi E, Bresciani S, Cilla S, Falco MD, Garibaldi C, Russo S, Talamonti C, Stasi M, Mancosu P. Estimating dose delivery accuracy in stereotactic body radiation therapy: A review of in-vivo measurement methods. Radiother Oncol 2020; 149:158-167. [PMID: 32416282 DOI: 10.1016/j.radonc.2020.05.014] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 05/08/2020] [Accepted: 05/10/2020] [Indexed: 12/25/2022]
Abstract
Stereotactic body radiation therapy (SBRT) has been recognized as a standard treatment option for many anatomical sites. Sophisticated radiation therapy techniques have been developed for carrying out these treatments and new quality assurance (QA) programs are therefore required to guarantee high geometrical and dosimetric accuracy. This paper focuses on recent advances on in-vivo measurements methods (IVM) for SBRT treatment. More specifically, all of the online QA methods for estimating the effective dose delivered to patients were compared. Determining the optimal IVM for performing SBRT treatments would reduce the risk of errors that could jeopardize treatment outcome. A total of 89 papers were included. The papers were subdivided into the following topics: point dosimeters (PD), transmission detectors (TD), log file analysis (LFA), electronic portal imaging device dosimetry (EPID), dose accumulation methods (DAM). The detectability capability of the main IVM detectors/devices were evaluated. All of the systems have some limitations: PD has no spatial data, EPID has limited sensitivity towards set-up errors and intra-fraction motion in some anatomical sites, TD is insensitive towards patient related errors, LFA is not an independent measure, DAMs are not always based on measures. In order to minimize errors in SBRT dose delivery, we recommend using synergic combinations of two or more of the systems described in our review: on-line tumor position and patient information should be combined with MLC position and linac output detection accuracy. In this way the effects of SBRT dose delivery errors will be reduced.
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Affiliation(s)
- Marco Esposito
- S.C. Fisica Sanitaria Firenze-Empoli, Azienda Sanitaria USL Toscana Centro, Italy.
| | | | - Sara Bresciani
- Medical Physics, Candiolo Cancer Institute - FPO IRCCS, Turin, Italy
| | - Savino Cilla
- Medical Physics Unit, Gemelli Molise Hospital, Campobasso, Italy
| | - Maria Daniela Falco
- Department of Radiation Oncology "G. D'Annunzio", University of Chieti, SS. Annunziata Hospital, Chieti, Italy
| | - Cristina Garibaldi
- Radiation Research Unit, European Institute of Oncology IRCCS, Milan, Italy
| | - Serenella Russo
- S.C. Fisica Sanitaria Firenze-Empoli, Azienda Sanitaria USL Toscana Centro, Italy
| | - Cinzia Talamonti
- University of Florence, Dept Biomedical Experimental and Clinical Science, "Mario Serio", Medical Physics Unit, AOU Careggi, Florence, Italy
| | - Michele Stasi
- Medical Physics, Candiolo Cancer Institute - FPO IRCCS, Turin, Italy
| | - Pietro Mancosu
- Medical Physics Unit of Radiotherapy Dept., Humanitas Clinical and Research Hospital - IRCCS, Rozzano, Italy
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Franzese C, Badalamenti M, Di Brina L, D'Agostino G, Franceschini D, Comito T, Clerici E, Navarria P, Reggiori G, Mancosu P, Tomatis S, Scorsetti M. Linac-based stereotactic body radiation therapy for low and intermediate-risk prostate cancer : Long-term results and factors predictive for outcome and toxicity. Strahlenther Onkol 2020; 196:608-616. [PMID: 32303782 DOI: 10.1007/s00066-020-01619-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 03/30/2020] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Stereotactic body radiation therapy (SBRT) is considered an effective and safe treatment in patients with low- and intermediate-risk prostate cancer (PC). However, due to a lack of long-term follow-up and late toxicity data, this treatment is not universally accepted. The present study aimed to evaluate outcome and early and late toxicity in a cohort of patients with low- and intermediate-risk PC treated prospectively with linear accelerator (linac)-based SBRT. PATIENTS AND METHODS Patients with low- or intermediate-risk (NCCN criteria) PC were included. All patients received linac-based SBRT to 35 Gy in 5 fractions delivered on alternate days. Endpoints were toxicity, biochemical relapse-free survival (BRFS), metastatic progression-free survival (mPFS), and overall survival (OS). RESULTS From 2012 to 2018, 178 patients were treated. Median baseline prostate-specific antigen (iPSA) was 6.37 ng/ml (range 1.78-20). Previous transurethral resection of the prostate (TURP) was present in 23 (12.9%) patients. Median follow-up was 58.9 months (range 9.7-89.9). BRFS rates at 1, 3, and 5 years were 98.3 (95% confidence interval, CI, 94.7-99.4%), 94.4 (95%CI 89.4-97), and 91.6% (95%CI 85.4-95.2), respectively. In univariate analysis, performance status (PS), iPSA, and nadir PSA (nPSA) were correlated with BRFS. In multivariable analysis iPSA and nPSA remained significant. BRFS rates at 5 years were 94.9% (95%CI 86.8-98) for International Society of Urological Pathology (ISUP) grade group 1, 93.2% (95%CI 80.5-97.7) for ISUP group 2, and 74.8% (95%CI 47.1-89.5) for ISUP group 3. At 1, 3, and 5 years, mPFS rates were 98.8 (95%CI 95.5-99.7), 96.2 (95%CI 91.9-98.3), and 92.9% (95%CI 87.2-96.2), respectively; OS rates were 100, 97.2 (95%CI 92.9-98.9), and 95.1% (95%CI 90-97.6), respectively. One (0.56%) case of grade 3 acute genitourinary (GU), one case of acute gastrointestinal (GI), and one case of grade 3 late GU toxicity were observed. GI toxicity positively correlated with prostate volume. CONCLUSION At long-term follow-up, linac-based SBRT continues to be a valid option for the management localized PC. Biochemical control remains high at 5 years, albeit with some concerns regarding the optimal schedule for unfavorable intermediate-risk PC. Considering the excellent prognosis, patient selection is crucial for prevention of severe late toxicity.
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Affiliation(s)
- Ciro Franzese
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy. .,Department of Biomedical Sciences, Humanitas University, Rozzano, Via Manzoni 113, 20089, Milan, Italy.
| | - Marco Badalamenti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Lucia Di Brina
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Giuseppe D'Agostino
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Davide Franceschini
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Tiziana Comito
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Giacomo Reggiori
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Stefano Tomatis
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Via Manzoni 56, Rozzano, Milan, Italy.,Department of Biomedical Sciences, Humanitas University, Rozzano, Via Manzoni 113, 20089, Milan, Italy
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Mancosu P, Navarria P, Muren LP, Castagna L, Reggiori G, Clerici E, Sarina B, Bramanti S, De Philippis C, Tomatis S, Santoro A, Scorsetti M. Development of an Immobilization Device for Total Marrow Irradiation. Pract Radiat Oncol 2020; 11:e98-e105. [PMID: 32160952 DOI: 10.1016/j.prro.2020.02.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 01/24/2020] [Accepted: 02/15/2020] [Indexed: 11/27/2022]
Abstract
PURPOSE A body frame dedicated to total marrow (lymph node) irradiation (TMI/TMLI) could minimize patient motion during the potentially extended beam-on time with this technique. We present the development of a dedicated immobilization system for TMI/TMLI using volumetric modulated arc therapy. METHODS AND MATERIALS Since 2010, 59 adult patients were treated with TMI/TMLI using a multi-isocenter volumetric modulated arc therapy technique. Two computed tomographies (CTs) were required (1 head-first supine and 1 feet-first supine) to cover the whole volume. For the first 10 patients, 2 standard commercial frames with personalized masks (with/without personalized vacuum cushion for the lower extremities) were used without specific interfixation (frame A). For the next 49 patients a homemade 3-frame immobilization system was adopted (frame B), where each frame was interlocked with the next one and thermoplastic masks used to fix the patient. The effectiveness of the 2 immobilization systems was assessed by offline/online matching between daily cone beam CT of each isocenter and the simulation CTs. RESULTS Mean offline shifts for frame A were 3 to 12 mm in anterior-posterior, 2 to 5 mm in cranilal-caudal, and 2 to 6 mm in left-right directions. Larger shifts were found for feet-first supine series (shifts up to 23 mm). In frame B, mean offline shifts were 1 to 4 mm in anterior-posterior, 1 to 4 mm in cranial-caudal, and 1 to 4 mm in left-right directions. Mean online adjustments were -1 ± 4 mm in anterior-posterior, 0 ± 2 mm in cranial-caudal, and 0 ± 4 mm in left-right directions. CONCLUSIONS The patient positioning shifts for TMI/TMLI irradiation were mitigated by a homemade immobilization system and the use of individualized masks.
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Affiliation(s)
- Pietro Mancosu
- Medical Physics Service, Radiation Oncology Department, Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy.
| | - Pierina Navarria
- Radiation Oncology Department, Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy
| | | | - Luca Castagna
- Bone Marrow Transplantation Unit, Humanitas Clinical and Research Hospital, Milan, Rozzano, Italy
| | - Giacomo Reggiori
- Medical Physics Service, Radiation Oncology Department, Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy
| | - Elena Clerici
- Radiation Oncology Department, Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy
| | - Barbara Sarina
- Bone Marrow Transplantation Unit, Humanitas Clinical and Research Hospital, Milan, Rozzano, Italy
| | - Stefania Bramanti
- Bone Marrow Transplantation Unit, Humanitas Clinical and Research Hospital, Milan, Rozzano, Italy
| | - Chiara De Philippis
- Bone Marrow Transplantation Unit, Humanitas Clinical and Research Hospital, Milan, Rozzano, Italy
| | - Stefano Tomatis
- Medical Physics Service, Radiation Oncology Department, Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy
| | - Armando Santoro
- Medical Oncology Department, Humanitas Clinical and Research Hospital, Milan, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Rozzano, Italy
| | - Marta Scorsetti
- Radiation Oncology Department, Humanitas Clinical and Research Hospital, Rozzano-Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Rozzano, Italy
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Franzese C, Comito T, Franceschini D, Loi M, Clerici E, Navarria P, De Rose F, Di Brina L, Mancosu P, Reggiori G, Tomatis S, Scorsetti M. Recursive partitioning model-based analysis for survival of colorectal cancer patients with lung and liver oligometastases treated with stereotactic body radiation therapy. J Cancer Res Clin Oncol 2020; 146:1227-1234. [PMID: 32056005 DOI: 10.1007/s00432-020-03148-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 02/04/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Liver and lung are common sites of metastases from colorectal cancer (CRC). Stereotactic body radiation therapy (SBRT) represents a valid treatment, with high rates of local control (LC). In this study, we applied recursive partitioning model-based analysis (RPA) to define class risks for overall survival (OS) and progression free survival (PFS) in oligometastatic CRC patients. MATERIALS AND METHODS In this monocentric analysis, we included patients with lung or liver metastases. Patients were candidate to SBRT if a maximum of 5 metastases. End points of the present analysis were LC, PFS, and OS. The binary classification tree approach with RPA was applied to stratify the patients into risk groups based on OS and PFS. RESULTS 218 patients were treated with SBRT on 371 metastases. Majority of patients (56%) was treated on single lesion, followed by 2 (26.1%) and 3 lesions (14.7%). Median follow-up was 22.7 months. Rates of LC were 84.2% at 1 year and 73.8% at 3 years. Rates of PFS at 1 and 3 years were 42.2% and 14.9%, respectively. RPA identified 3 classes for PFS, according to age and number of metastases with 3-year PFS of 30.6%, 13.5% and 8.4%. Overall survival was 87.2% at 1 year, 51.9% at 3 years, and 36.8% at 5 years. RPA identified 3 nodes. Class 1 included patients with liver metastases (3-year OS 35.2%). Class 2 included patients with lung metastases and DFI ≤ 48 months (3-year OS 65%). Class 3 included patients with lung metastases and DFI > 48 months (3-year OS 73.5%). CONCLUSIONS Stereotactic body radiation therapy can be considered an effective treatment for the management of liver and lung metastases from CRC. With RPA, we identified prognostic risk class to define patients who could benefit the most from SBRT.
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Affiliation(s)
- Ciro Franzese
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy. .,Department of Biomedical Sciences, Humanitas University, Rozzano, MI, Italy.
| | - Tiziana Comito
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Davide Franceschini
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Mauro Loi
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Fiorenza De Rose
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Lucia Di Brina
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Giacomo Reggiori
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Stefano Tomatis
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital - IRCCS, Via Manzoni 56, Rozzano, MI, Italy.,Department of Biomedical Sciences, Humanitas University, Rozzano, MI, Italy
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Paganini L, Reggiori G, Stravato A, Palumbo V, Mancosu P, Lobefalo F, Gaudino A, Fogliata A, Scorsetti M, Tomatis S. MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO). Radiat Oncol 2019; 14:216. [PMID: 31791355 PMCID: PMC6889207 DOI: 10.1186/s13014-019-1421-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 11/15/2019] [Indexed: 11/10/2022] Open
Abstract
Background PRIMO is a graphical environment based on PENELOPE Monte Carlo (MC) simulation of radiotherapy beams able to compute dose distribution in patients, from plans with different techniques. The dosimetric characteristics of an HD-120 MLC (Varian), simulated using PRIMO, were here compared with measurements, and also with Acuros calculations (in the Eclipse treatment planning system, Varian). Materials and methods A 10 MV FFF beam from a Varian EDGE linac equipped with the HD-120 MLC was used for this work. Initially, the linac head was simulated inside PRIMO, and validated against measurements in a water phantom. Then, a series of different MLC patterns were established to assess the MLC dosimetric characteristics. Those tests included: i) static fields: output factors from MLC shaped fields (2 × 2 to 10 × 10 cm2), alternate open and closed leaf pattern, MLC transmitted dose; ii) dynamic fields: dosimetric leaf gap (DLG) evaluated with sweeping gaps, tongue and groove (TG) effect assessed with profiles across alternate open and closed leaves moving across the field. The doses in the different tests were simulated in PRIMO and then compared with EBT3 film measurements in solid water phantom, as well as with Acuros calculations. Finally, MC in PRIMO and Acuros were compared in some clinical cases, summarizing the clinical complexity in view of a possible use of PRIMO as an independent dose calculation check. Results Static output factor MLC tests showed an agreement between MC calculated and measured OF of 0.5%. The dynamic tests presented DLG values of 0.033 ± 0.003 cm and 0.032 ± 0.006 cm for MC and measurements, respectively. Regarding the TG tests, a general agreement between the dose distributions of 1–2% was achieved, except for the extreme patterns (very small gaps/field sizes and high TG effect) were the agreement was about 4–5%. The analysis of the clinical cases, the Gamma agreement between MC in PRIMO and Acuros dose calculation in Eclipse was of 99.5 ± 0.2% for 3%/2 mm criteria of dose difference/distance to agreement. Conclusions MC simulations in the PRIMO environment were in agreement with measurements for the HD-120 MLC in a 10 MV FFF beam from a Varian EDGE linac. This result allowed to consistently compare clinical cases, showing the possible use of PRIMO as an independent dose calculation check tool.
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Affiliation(s)
- Lucia Paganini
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
| | - Giacomo Reggiori
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.
| | - Antonella Stravato
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
| | - Valentina Palumbo
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
| | - Pietro Mancosu
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
| | - Francesca Lobefalo
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
| | - Anna Gaudino
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
| | - Antonella Fogliata
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy.,Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, (Milan), Italy
| | - Stefano Tomatis
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Center, Rozzano, (Milan), Italy
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Clerici E, Comito T, Franzese C, Di Brina L, Tozzi A, Iftode C, Navarria P, Mancosu P, Reggiori G, Tomatis S, Scorsetti M. Role of stereotactic body radiation therapy in the treatment of liver metastases: clinical results and prognostic factors. Strahlenther Onkol 2019; 196:325-333. [DOI: 10.1007/s00066-019-01524-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 09/12/2019] [Indexed: 12/14/2022]
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Russo S, Masi L, Francescon P, Dicarolo P, De Martin E, Frassanito C, Redaelli I, Vigorito S, Stasi M, Mancosu P. Multi-site evaluation of the Razor stereotactic diode for CyberKnife small field relative dosimetry. Phys Med 2019; 65:40-45. [DOI: 10.1016/j.ejmp.2019.07.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 07/22/2019] [Accepted: 07/30/2019] [Indexed: 10/26/2022] Open
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Mancosu P, Cozzi L, Muren LP. Total marrow irradiation for hematopoietic malignancies using volumetric modulated arc therapy: A review of treatment planning studies. Phys Imaging Radiat Oncol 2019; 11:47-53. [PMID: 33458277 PMCID: PMC7807866 DOI: 10.1016/j.phro.2019.08.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 08/09/2019] [Accepted: 08/13/2019] [Indexed: 02/06/2023]
Abstract
Total Marrow Irradiation (TMI) has been introduced in the management of hematopoietic malignancies with the aim of reducing toxicities induced by total body irradiation. TMI is one of the most challenging planning and delivery techniques of radiotherapy, as the whole skeleton should be irradiated, while sparing nearby organs at risk (OARs). Target volumes of 7–10 k cm3 and healthy tissue volumes of 50–90 k cm3 should be considered and inverse treatment planning is needed. This review focused on aspects of TMI delivery using volumetric modulated arc therapy (VMAT). In particular, multiple arcs from isocenters with different positions are required for VMAT-TMI as the cranial-caudal lengths of patients are much larger than the jaw aperture. Therefore, many field junctions between arcs with different isocenters should be managed. This review covered, in particular, feasibility studies for managing multiple isocenters, optimization of plan parameters, plan optimization of the lower extremities, robustness of field junctions and dosimetric plan verification of VMAT-TMI. This review demonstrated the possibility of VMAT in delivering TMI with multi-arcs and multi-isocenters. Care should be paid in the patient repositioning, with particular attention to the cranial-caudal direction.
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Affiliation(s)
- Pietro Mancosu
- Medical Physics, Radiotherapy Department, Humanitas Clinical and Research Hospital, Rozzano-Milano, Italy
| | - Luca Cozzi
- Department of Biomedical Sciences, Humanitas University, Milan-Rozzano, Italy
| | - Ludvig Paul Muren
- Dept of Medical Physics, Aarhus University/Aarhus University Hospital, Aarhus, Denmark.,Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
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D'Agostino GR, Di Brina L, Mancosu P, Franzese C, Iftode C, Franceschini D, Clerici E, Tozzi A, Navarria P, Scorsetti M. Reirradiation of Locally Recurrent Prostate Cancer With Volumetric Modulated Arc Therapy. Int J Radiat Oncol Biol Phys 2019; 104:614-621. [DOI: 10.1016/j.ijrobp.2019.02.041] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 02/08/2019] [Accepted: 02/21/2019] [Indexed: 12/18/2022]
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Villaggi E, Hernandez V, Fusella M, Moretti E, Russo S, Vaccara EML, Nardiello B, Esposito M, Saez J, Cilla S, Marino C, Stasi M, Mancosu P. Plan quality improvement by DVH sharing and planner's experience: Results of a SBRT multicentric planning study on prostate. Phys Med 2019; 62:73-82. [PMID: 31153401 DOI: 10.1016/j.ejmp.2019.05.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 04/12/2019] [Accepted: 05/02/2019] [Indexed: 01/31/2023] Open
Abstract
PURPOSE To evaluate, in a multi-institutional context, the role of Dose Volume Histogram (DVH) sharing in order to achieve higher plan quality, to harmonize prostate Stereotactic Body Radiation Therapy (SBRT) plans and to assess if the planner's experience in SBRT could lead to lower dose at organs at risk (OARs). METHODS During the first phase five patients enrolled for prostate SBRT were planned by multiple physicists according to common protocol. The prescription dose was 35 Gy in 5 fractions. Dosimetric parameters, modulation index (MIt), plan parameters, and planner experience level (EL) were statistically analyzed. During the second phase median DVHs from all centers were shared and physicists replanned one patient of the five, aiming at inter-planner harmonization and further OARs sparing. Data were summarized by Spearman-correlogram (p < 0.05) and boxplots. The Kruskal-Wallis test was used to compare the re-plans to the original plans. RESULTS Seventy-eight SBRT plans from 13 centers were evaluated. EL correlated with modulation of plan parameters and reduction of OARs doses, such as volume receiving 28 Gy of rectum (rectum-V28Gy), rectum-V32Gy, and bladder-V30Gy. The re-plans showed significant reduced variability in rectum-V28Gy and increased PTV dose homogeneity. No significant difference in plan complexity metrics and plan parameters between plans and re-plans were obtained. CONCLUSIONS Planner's experience in prostate SBRT was correlated with dosimetric parameters. Sharing median DVHs reduced variability among centers whilst keeping the same level of plan complexity. SBRT planning skills can benefit from a replanning phase after sharing DVHs from multiple centers, improving plan quality and concordance among centers.
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Affiliation(s)
- Elena Villaggi
- Medical Physics Unit, Azienda Unità Sanitaria Locale di Piacenza, Italy.
| | - Victor Hernandez
- Hospital Universitari Sant Joan de Reus, Department of Medical Physics, Tarragona, Spain
| | - Marco Fusella
- Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - Eugenia Moretti
- Department of Medical Physics, Azienda Sanitaria Universitaria Integrata di Udine, Italy
| | - Serenella Russo
- Medical Physics Unit, Azienda USL Toscana Centro, Firenze I-50012, Italy
| | | | | | - Marco Esposito
- Medical Physics Unit, Azienda USL Toscana Centro, Firenze I-50012, Italy
| | - Jordi Saez
- Hospital Clinic de Barcelona, Department of Radiation Oncology, Barcelona, Spain
| | - Savino Cilla
- Medical Physics Unit, Fondazione di Ricerca e Cura "Giovanni Paolo II", Campobasso, Italy
| | | | - Michele Stasi
- Department of Medical Physics, Azienda Ospedaliera Ordine Mauriziano di Torino, Turin, Italy
| | - Pietro Mancosu
- Medical Physics Unit of Radiation Oncology Dept., Humanitas Research Hospital, Milano, Italy
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