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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] [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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An effective and optimized patient-specific QA workload reduction for VMAT plans after MLC-modelling optimization. Phys Med 2023; 107:102548. [PMID: 36842260 DOI: 10.1016/j.ejmp.2023.102548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/16/2023] [Accepted: 02/13/2023] [Indexed: 02/26/2023] Open
Abstract
INTRODUCTION Many complexity metrics characterize modulated plans. First, this study aimed at identify the optimal complexity metrics to reduce workload associated to patient-specific quality assurance (PSQA) for our equipment and processes. Second, it intended to optimize our MLC modelling to improve measurement and calculation agreement with expectation of further reducing PSQA workload. METHODS Correlation and sensitivity at specificity equals to 1 were evaluated for PSQA results and different complexity metrics. Thresholds to stop PSQA were determined. After validation of the optimal complexity metric and threshold for our equipment and process, the MLC modelling was reviewed with a recently published methodology. This method is based on measurements with a Farmer-type ionization chamber of synchronous and asynchronous sweeping gap plans. Effect on the PSQA results and the identified threshold was investigated. RESULTS In our center, the most appropriate complexity metric for reducing our PSQA workload was the Modulation Complexity Score for VMAT (MCSv). The optimization of the MLC modelling significantly reduced the number of controlled plans, specifically for one of our two Varian Clinac. Any plan with a MCSv >= 0.34 is treated without PSQA. CONCLUSION This study rationalized and reduced our PSQA workload by approximately 30%. It is a continuing work with new TPS, machine or PSQA equipment. It encourages centers to re-evaluate their MLC modelling as well as assess the benefit of complexity metrics to streamline their PSQA workflow. An easier access, at least for reporting, at best for optimizing plans, into the TPS would be beneficial for the community.
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Wang X, Liang H, Li L, Zhou J, Song R. Contribution of the stereoscopic representation of motion-in-depth during visually guided feedback control. Cereb Cortex 2023:7030846. [PMID: 36750266 DOI: 10.1093/cercor/bhad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/06/2023] [Accepted: 01/07/2023] [Indexed: 02/09/2023] Open
Abstract
Considerable studies have focused on the neural basis of visually guided tracking movement in the frontoparallel plane, whereas the neural process in real-world circumstances regarding the influence of binocular disparity and motion-in-depth (MID) perception is less understood. Although the role of stereoscopic versus monoscopic MID information has been extensively described for visual processing, its influence on top-down regulation for motor execution has not received much attention. Here, we orthogonally varied the visual representation (stereoscopic versus monoscopic) and motion direction (depth motion versus bias depth motion versus frontoparallel motion) during visually guided tracking movements, with simultaneous functional near-infrared spectroscopy recordings. Results show that the stereoscopic representation of MID could lead to more accurate movements, which was supported by specific neural activity pattern. More importantly, we extend prior evidence about the role of frontoparietal network in brain-behavior relationship, showing that occipital area, more specifically, visual area V2/V3 was also robustly involved in the association. Furthermore, by using the stereoscopic representation of MID, it is plausible to detect robust brain-behavior relationship even with small sample size at low executive task demand. Taken together, these findings highlight the importance of the stereoscopic representation of MID for investigating neural correlates of visually guided feedback control.
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Affiliation(s)
- Xiaolu Wang
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
| | - Haowen Liang
- State Key Laboratory of Optoelectronic Materials and Technology, Guangdong Marine Laboratory, School of Physics, Sun Yat-sen University, Guangzhou 510275, China
| | - Le Li
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an 710072, China.,Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510030, China
| | - Jianying Zhou
- State Key Laboratory of Optoelectronic Materials and Technology, Guangdong Marine Laboratory, School of Physics, Sun Yat-sen University, Guangzhou 510275, China
| | - Rong Song
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510006, China
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Kaplan LP, Placidi L, Bäck A, Canters R, Hussein M, Vaniqui A, Fusella M, Piotrowski T, Hernandez V, Jornet N, Hansen CR, Widesott L. Plan quality assessment in clinical practice: Results of the 2020 ESTRO survey on plan complexity and robustness. Radiother Oncol 2022; 173:254-261. [PMID: 35714808 DOI: 10.1016/j.radonc.2022.06.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/24/2022] [Accepted: 06/07/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE Plan complexity and robustness are two essential aspects of treatment plan quality but there is a great variability in their management in clinical practice. This study reports the results of the 2020 ESTRO survey on plan complexity and robustness to identify needs and guide future discussions and consensus. METHODS A survey was distributed online to ESTRO members. Plan complexity was defined as the modulation of machine parameters and increased uncertainty in dose calculation and delivery. Robustness was defined as a dose distribution's sensitivity towards errors stemming from treatment uncertainties, patient setup, or anatomical changes. RESULTS A total of 126 radiotherapy centres from 33 countries participated, 95 of them (75%) from Europe and Central Asia. The majority controlled and evaluated plan complexity using monitor units (56 centres) and aperture shapes (38 centres). To control robustness, 98 (97% of question responses) photon and 5 (50%) proton centres used PTV margins for plan optimization while 75 (94%) and 5 (50%), respectively, used margins for plan evaluation. Seventeen (21%) photon and 8 (80%) proton centres used robust optimisation, while 10 (13%) and 8 (80%), respectively, used robust evaluation. Primary uncertainties considered were patient setup (photons and protons) and range calculation uncertainties (protons). Participants expressed the need for improved commercial tools to control and evaluate plan complexity and robustness. CONCLUSION Clinical implementation of methods to control and evaluate plan complexity and robustness is very heterogeneous. Better tools are needed to manage complexity and robustness in treatment planning systems. International guidelines may promote harmonization.
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Affiliation(s)
- Laura Patricia Kaplan
- Department of Oncology, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Denmark.
| | - Lorenzo Placidi
- Fondazione Policlinico Universitario ''A. Gemelli'' IRCCS, Roma, Italy.
| | - Anna Bäck
- Department of Therapeutic Radiation Physics, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Medical Radiation Sciences, Sahlgrenska Academy, University of Gothenburg, Sweden
| | - Richard Canters
- Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, the Netherlands
| | - Mohammad Hussein
- Metrology for Med Phys Centre, National Physical Laboratory, Teddington, United Kingdom
| | - Ana Vaniqui
- Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, the Netherlands
| | - Marco Fusella
- Department of Med Phys, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Tomasz Piotrowski
- Department of Electroradiology, Poznan University of Medical Sciences and Department of Med Phys, Greater Poland Cancer Centre, Poznan, Poland
| | - Victor Hernandez
- Department of Med Phys, Hospital Sant Joan de Reus, IISPV, Spain
| | - Nuria Jornet
- Servei de Radiofísica i Radioprotecció, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Christian Rønn Hansen
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Denmark; Danish Centre for Particle Therapy, Aarhus University Hospital, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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Gao X, Jiang C, Yao S, Ma L, Wang X, Cao Z. Identification of hub genes related to immune cell infiltration in periodontitis using integrated bioinformatic analysis. J Periodontal Res 2022; 57:392-401. [PMID: 34993975 DOI: 10.1111/jre.12970] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/18/2021] [Accepted: 12/24/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND OBJECTIVE Periodontitis is an inflammatory disease of the periodontium. However, the hub genes in periodontitis and their correlation with immune cells are not clear. This study aimed to identify hub genes and immune infiltration properties in periodontitis and to explore the correlation between hub genes and immune cells. MATERIAL AND METHODS Differentially expressed genes (DEGs) analysis and weighted gene co-expression network analysis (WGCNA) were performed both on GSE10334 and GSE173078 datasets. Hub genes were identified via WGCNA and DEGs. The proportions of infiltrating immune cells were calculated by CIBERSORT algorithm, and single-cell RNA-sequencing dataset GSE164241 was used to explore cell-type-specific expression profiles of hub genes. RESULTS Eight hub genes (DERL3, FKBP11, LAX1, CD27, SPAG4, ST6GAL1, MZB1, and SEL1L3) were selected via WGCNA and DEGs by combining GSE10334 and GSE173078 datasets. CIBERSORT analysis showed a significant difference in the proportion of B cells, dendritic cells resting, and neutrophils in the gingival tissues between healthy and periodontitis patients, and expressions of these genes were highly correlated with the infiltration of B cells in periodontitis. Furthermore, real-time quantitative PCR results further confirmed the overexpression of hub genes. Analysis of GSE164241dataset further identified that most of hub genes were mainly expressed in B cells. CONCLUSIONS By integrating WGCNA, DEGs, and CIBERSORT analysis, eight genes were identified to be the hub genes of periodontitis and most of them were mainly expressed in B cells encouraging further researches on B cells in periodontitis pathogenesis.
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Affiliation(s)
- Xudong Gao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST KLOS) & Key Laboratory for Oral Biomedical Engineering of Ministry of Education (KLOBME), School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Chenxi Jiang
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST KLOS) & Key Laboratory for Oral Biomedical Engineering of Ministry of Education (KLOBME), School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Siqi Yao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST KLOS) & Key Laboratory for Oral Biomedical Engineering of Ministry of Education (KLOBME), School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Li Ma
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST KLOS) & Key Laboratory for Oral Biomedical Engineering of Ministry of Education (KLOBME), School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Xiaoxuan Wang
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST KLOS) & Key Laboratory for Oral Biomedical Engineering of Ministry of Education (KLOBME), School & Hospital of Stomatology, Wuhan University, Wuhan, China.,Department of Periodontology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Zhengguo Cao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST KLOS) & Key Laboratory for Oral Biomedical Engineering of Ministry of Education (KLOBME), School & Hospital of Stomatology, Wuhan University, Wuhan, China.,Department of Periodontology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
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Li J, Zhang X, Pan Y, Zhuang H, Wang J, Yang R. Assessment of Delivery Quality Assurance for Stereotactic Radiosurgery With Cyberknife. Front Oncol 2021; 11:751922. [PMID: 34868957 PMCID: PMC8635503 DOI: 10.3389/fonc.2021.751922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 10/26/2021] [Indexed: 11/25/2022] Open
Abstract
Purpose The purpose of this study is to establish and assess a practical delivery quality assurance method for stereotactic radiosurgery with Cyberknife by analyzing the geometric and dosimetric accuracies obtained using a PTW31016 PinPoint ionization chamber and EBT3 films. Moreover, this study also explores the relationship between the parameters of plan complexity, target volume, and deliverability parameters and provides a valuable reference for improving plan optimization and validation. Methods One hundred fifty cases of delivery quality assurance plans were performed on Cyberknife to assess point dose and planar dose distribution, respectively, using a PTW31016 PinPoint ionization chamber and Gafchromic EBT3 films. The measured chamber doses were compared with the planned mean doses in the sensitive volume of the chamber, and the measured planar doses were compared with the calculated dose distribution using gamma index analysis. The gamma passing rates were evaluated using the criteria of 3%/1 mm and 2%/2 mm. The statistical significance of the correlations between the complexity metrics, target volume, and the gamma passing rate were analyzed using Spearman’s rank correlation coefficient. Results For point dose comparison, the averaged dose differences (± standard deviations) were 1.6 ± 0.73% for all the cases. For planar dose distribution, the mean gamma passing rate for 3%/1 mm, and 2%/2 mm evaluation criteria were 94.26% ± 1.89%, and 93.86% ± 2.16%, respectively. The gamma passing rates were higher than 90% for all the delivery quality assurance plans with the criteria of 3%/1 mm and 2%/2 mm. The difference in point dose was lowly correlated with volume of PTV, number of beams, and treatment time for 150 DQA plans, and highly correlated with volume of PTV for 18 DQA plans of small target. DQA gamma passing rate (2%/2 mm) was a moderate significant correlation for the number of nodes, number of beams and treatment time, and a low correlation with MU. Conclusion PTW31016 PinPoint ionization chamber and EBT3 film can be used for routine Cyberknife delivery quality assurance. The point dose difference should be within 3%. The gamma passing rate should be higher than 90% for the criteria of 3%/1 mm and 2%/2 mm. In addition, the plan complexity and PTV volume were found to have some influence on the plan deliverability.
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Affiliation(s)
- Jun Li
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Xile Zhang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Yuxi Pan
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Hongqing Zhuang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Junjie Wang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Ruijie Yang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
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Masi L, Hernandez V, Saez J, Doro R, Livi L. Robotic MLC-based plans: A study of plan complexity. Med Phys 2021; 48:942-952. [PMID: 33332628 DOI: 10.1002/mp.14667] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/10/2020] [Accepted: 12/08/2020] [Indexed: 12/19/2022] Open
Abstract
PURPOSE The utility of complexity metrics has been assessed for IMRT and VMAT treatment plans, but this analysis has never been performed for CyberKnife (CK) plans. The purpose of this study is to perform a complexity analysis of CK MLC plans, adapting and computing complexity indices previously defined for IMRT plans. Metrics were used to compare the complexity of plans created by two optimization systems and to study correlations between plan complexity and patient-specific quality assurance (PSQA) results. Relationships between pairs of metrics were also analyzed to get insight into possible interdependencies. METHODS Two independent in-house software platforms were developed to compute six complexity metrics: modulation complexity score (MCS), edge metric (EM), plan irregularity (PI), plan modulation (PM), leaf gap (LG), and small aperture score (SAS10). MCS and PM definitions were adapted to account for CK plans characteristics. The computed metrics were used to compare the existing optimization algorithms (sequential and VOLO) in terms of plan complexity over 24 selected cases. Metrics were then computed over a large number (103) of VOLO SBRT clinical plans from different treatment sites, mainly liver, prostate, pancreas, and spine. Pearson's r was used to study relationships between each pair of metrics. Correlation between complexity indices and PSQA results expressed as gamma index passing rates (GPR) at (3%, 1 mm) and (2%, 1 mm) was finally analyzed. Correlation was regarded as weak for absolute Pearson's r values in the range 0.2-0.39, moderate 0.4-0.59, strong 0.6-0.79, and very strong 0.8-1. RESULTS When compared to VOLO, sequential plans exhibited a higher complexity degree, showing lower MCS and LG values and higher EM, PM and PI values. Differences were significant for 5/6 metrics (Wilcoxon P < 0.05). The analysis of VOLO clinical plans highlighted different degrees of complexity among plans from different treatment sites, increasing from liver to prostate, pancreas, and finally, spine. Analysis of dependencies between pairs of metrics showed a very strong significant negative correlation (P < 0.01), respectively, between MCS and PM (r = -0.97), and EM and LG (-0.82). Most of the remaining pairs showed moderate to strong correlations with the exception of PI, which showed weaker correlations with the other metrics. A moderate significant correlation was observed with GPR values both at (3%, 1 mm) and (2%, 1 mm) for all metrics except PI, which showed no correlation. CONCLUSIONS Modulation complexity metrics were computed for CK MLC-based plans for the first time and some metrics' definitions were adapted to CK plans peculiarities. The computed metrics proved a useful tool for comparing optimization algorithms and for characterizing CK clinical plans. Strong and very strong correlations were found between some pairs of metrics. Some significant correlations were found with PSQA GPR, indicating that some indices are promising for rationalizing and reducing PSQA workload. Our results set the basis for evaluating new optimization algorithms and TPS versions in the future, as well as for comparing the complexity of CK MLC-based plans in multicenter and multiplatform comparisons.
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Affiliation(s)
- Laura Masi
- Department of Medical Physics, Radiation Oncology IFCA, Florence, 50139, Italy
| | - Victor Hernandez
- Department of Medical Physics, Hospital Universitari Sant Joan de Reus, IISPV, Tarragona, 43204, Spain
| | - Jordi Saez
- Department of Radiation Oncology, Hospital Clinic de Barcelona, Barcelona, 08036, Spain
| | - Raffaela Doro
- Department of Medical Physics, Radiation Oncology IFCA, Florence, 50139, Italy
| | - Lorenzo Livi
- Radiotherapy Unit AOU Careggi, Florence, 50139, Italy.,Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence, 50139, Italy
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