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Chetiyawardana G, Chadwick E, Kordolaimi S, Sundar S. Bladder trigone sparing radiotherapy in prostate cancer treatment. Radiography (Lond) 2024; 30:1201-1209. [PMID: 38905764 DOI: 10.1016/j.radi.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/29/2024] [Accepted: 06/06/2024] [Indexed: 06/23/2024]
Abstract
INTRODUCTION Evidence suggests the bladder trigone to be a potential organ at risk (OAR) in predicting acute and late genitourinary (GU) side effects when treating prostate cancer with radiotherapy. METHODS A search of MEDLINE, Cinahl, EMBASE, PubMed, the Cochrane Database of Systematic Reviews and OpenGrey was conducted and no current or underway systematic reviews or scoping reviews on the topic were identified. A systematic literature review was carried out assessing the quality of this evidence. All evidence that prospectively or retrospectively reviewed radiotherapy or modelled radiotherapy dose to the bladder trigone were included. The search was conducted on the 8th July 2021 with 32 studies included in this review. This was repeated 10th June 2023 and two additional studies were identified. Any evidence published since this date have not been included and are a limitation of this review. RESULTS MRI imaging is recommended to assist in delineating the trigone which has been shown to have a high amount of inter-observer variability and the use of specific training may reduce this. Across all radiotherapy treatment modalities, trigone dose contributed to GU acute and late toxicity symptoms. Trigone motion is relative to prostate motion but further research is required to confirm if the prostate can be used as a reliable surrogate for trigone position. The dose tolerance given for specific trigone related toxicities is debated within the literature, and on analysis the authors of this review suggest bladder trigone dose limits: Dmean < 45.8 Gy, V61.0Gy < 40%, V59.8Gy < 25%, V42.5Gy-V41.0Gy < 91% and V47.4Gy-V43.2Gy < 91% with α/β of 3 Gy to reduce acute and late GU toxicities. CONCLUSION There is evidence to support further research into bladder trigone sparing radiotherapy to improve patient outcomes. IMPLICATION FOR PRACTICE Using the bladder trigone as an organ at risk is possible and the authors are currently seeking funding for a feasibility trial to further investigate this.
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Affiliation(s)
- G Chetiyawardana
- Nottingham University Hospitals, City Campus, Radiotherapy, Hucknall Road, Nottingham, NG5 1PB, UK.
| | - E Chadwick
- Nottingham University Hospitals, City Campus, Radiotherapy, Hucknall Road, Nottingham, NG5 1PB, UK
| | - S Kordolaimi
- Leicester Royal Infirmary, Infirmary Square, Leicester, LE1 5WW, UK
| | - S Sundar
- Nottingham University Hospitals, City Campus, Radiotherapy, Hucknall Road, Nottingham, NG5 1PB, UK
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Patrick HM, Kildea J. More than one way to skin a dose volume: the impact of dose-surface map calculation approach on study reproducibility. Phys Med Biol 2024; 69:025025. [PMID: 38168029 DOI: 10.1088/1361-6560/ad19ef] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/02/2024] [Indexed: 01/05/2024]
Abstract
Objective.Dose-surface maps (DSMs) provide spatial representations of the radiation dose to organ surfaces during radiotherapy and are a valuable tool for identifying dose deposition patterns that are predictive of radiation toxicities. Over the years, many different DSM calculation approaches have been introduced and used in dose-outcome studies. However, little consideration has been given to how these calculation approaches may be impacting the reproducibility of studies in the field. Therefore, we conducted an investigation to determine the level of equivalence of DSMs calculated with different approaches and their subsequent impact on study results.Approach.Rectum and bladder DSMs were calculated for 20 prostate radiotherapy patients using combinations of the most common slice orientation and spacing styles in the literature. Equivalence of differently calculated DSMs was evaluated using pixel-wise comparisons and DSM features (rectum only). Finally, mock cohort comparison studies were conducted with DSMs calculated using each approach to determine the level of dosimetric study reproducibility between calculation approaches.Main results.We found that rectum DSMs calculated using the planar and non-coplanar orientation styles were non-equivalent in the posterior rectal region and that equivalence of DSMs calculated with different slice spacing styles was conditional on the choice of inter-slice distance used. DSM features were highly sensitive to choice of slice orientation style and DSM sampling resolution. Finally, while general result trends were consistent between the comparison studies performed using different DSMs, statisitically significant subregions and features could vary greatly in position and magnitude.Significance.We have determined that DSMs calculated with different calculation approaches are frequently non-equivalent and can lead to differing conclusions between studies performed using the same dataset. We recommend that the DSM research community work to establish consensus calculation approaches to ensure reproducibility within the field.
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Affiliation(s)
- Haley M Patrick
- Medical Physics Unit, McGill University, Montreal, QC, H4A3J1, Canada
| | - John Kildea
- Medical Physics Unit, McGill University, Montreal, QC, H4A3J1, Canada
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Spampinato S, Rancati T, Waskiewicz JM, Avuzzi B, Garibaldi E, Faiella A, Villa E, Magli A, Cante D, Girelli G, Gatti M, Noris Chiorda B, Rago L, Ferrari P, Piva C, Pavarini M, Valdagni R, Vavassori V, Munoz F, Sanguineti G, Di Muzio N, Kirchheiner K, Fiorino C, Cozzarini C. Patient-reported persistent symptoms after radiotherapy and association with quality of life for prostate cancer survivors. Acta Oncol 2023; 62:1440-1450. [PMID: 37801288 DOI: 10.1080/0284186x.2023.2259597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/11/2023] [Indexed: 10/07/2023]
Abstract
PURPOSE To evaluate the persistence of symptoms after radiotherapy (RT) for localised prostate cancer (PCa) and the association with quality of life (QOL). MATERIALS AND METHODS Prospective patient-reported outcome (PRO) from a multi-institutional study on PCa treated with radical RT (2010-2014) was analysed. Data was collected at baseline (BL) and follow-ups (FUPs) up to 5 years. Patients with BL and ≥3 late FUPs (≥6 months) were analysed. PRO was scored by means of the IPSS and ICIQ-SF (urinary), LENT-SOMA (gastrointestinal [GI]), and EORTC-C30 (pain, insomnia, fatigue, and QOL) questionnaires. Symptoms were defined 'persistent' if the median score over FUPs was ≥3 (urinary) or ≥2 (GI, pain, insomnia, and fatigue), and worse than BL. Different thresholds were chosen to have enough events for each symptom. QOL was linearly transformed on a continuous scale (0-100). Linear-mixed models were used to identify significant differences between groups with and without persistent symptoms including age, smoking status, previous abdominal surgery, and diabetes as confounders. Mean QOL differences between groups were evaluated longitudinally over FUPs. RESULTS The analysis included 293 patients. Persistent urinary symptoms ranged from 2% (straining) to 12% (weak stream, and nocturia). Gastrointestinal symptoms ranged from 7% (rectal pain, and incontinence) to 30% (urgency). Proportions of pain, insomnia, and fatigue were 6, 13, and 18%. Significant QOL differences of small-to-medium clinical relevance were found for urinary incontinence, frequency, urgency, and nocturia. Among GI symptoms, rectal pain and incontinence showed small-to-medium differences. Fatigue was associated with the largest differences. CONCLUSIONS The analysis showed that symptoms after RT for PCa occur with different persistence and their association with QOL varies in magnitude. A number of persistent urinary and GI symptoms showed differences in a comparable range. Urinary incontinence and frequency, rectal pain, and faecal incontinence more often had significant associations. Fatigue was also prevalent and associated with largely deteriorated QOL.
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Affiliation(s)
- Sofia Spampinato
- Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - Tiziana Rancati
- Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Barbara Avuzzi
- Department of Radiation Oncology, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Elisabetta Garibaldi
- Department of Radiotherapy, Ospedale Regionale Parini-AUSL Valle d'Aosta, Aosta, Italy
| | - Adriana Faiella
- Department of Radiotherapy, IRCCS Istituto Tumori 'Regina Elena', Rome, Italy
| | - Elisa Villa
- Department of Radiotherapy, Humanitas Gavazzeni, Bergamo, Italy
| | - Alessandro Magli
- Department of Radiotherapy, Azienda Ospedaliero Universitaria S. Maria della Misericordia, Udine, Italy
| | - Domenico Cante
- Department of Radiotherapy, ASL TO4 Ospedale di Ivrea, Ivrea, Italy
| | - Giuseppe Girelli
- Department of Radiotherapy, Ospedale degli Infermi, Biella, Italy
| | - Marco Gatti
- Department of Radiotherapy, Istituto di Candiolo - Fondazione del Piemonte per l'Oncologia IRCCS, Candiolo, Italy
| | - Barbara Noris Chiorda
- Department of Radiation Oncology, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Luciana Rago
- Department of Radiotherapy, IRCCS CROB, Rionero in Vulture, Italy
| | - Paolo Ferrari
- Department of Health Physics, Provincial Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy; Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität
| | - Cristina Piva
- Department of Radiotherapy, ASL TO4 Ospedale di Ivrea, Ivrea, Italy
| | - Maddalena Pavarini
- Department of Medical Physics, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Riccardo Valdagni
- Department of Radiation Oncology, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | | | - Fernando Munoz
- Department of Radiotherapy, Ospedale Regionale Parini-AUSL Valle d'Aosta, Aosta, Italy
| | - Giuseppe Sanguineti
- Department of Radiotherapy, IRCCS Istituto Tumori 'Regina Elena', Rome, Italy
| | - Nadia Di Muzio
- Department of Radiotherapy, San Raffaele Scientific Institute and Università Vita Salute San Raffaele, Milan, Italy
| | - Kathrin Kirchheiner
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Claudio Fiorino
- Department of Medical Physics, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cesare Cozzarini
- Department of Radiotherapy, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Alborghetti L, Castriconi R, Sosa Marrero C, Tudda A, Ubeira-Gabellini MG, Broggi S, Pascau J, Cubero L, Cozzarini C, De Crevoisier R, Rancati T, Acosta O, Fiorino C. Selective sparing of bladder and rectum sub-regions in radiotherapy of prostate cancer combining knowledge-based automatic planning and multicriteria optimization. Phys Imaging Radiat Oncol 2023; 28:100488. [PMID: 37694264 PMCID: PMC10482897 DOI: 10.1016/j.phro.2023.100488] [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: 04/13/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/12/2023] Open
Abstract
Background and Purpose The association between dose to selected bladder and rectum symptom-related sub-regions (SRS) and late toxicity after prostate cancer radiotherapy has been evidenced by voxel-wise analyses. The aim of the current study was to explore the feasibility of combining knowledge-based (KB) and multi-criteria optimization (MCO) to spare SRSs without compromising planning target volume (PTV) dose delivery, including pelvic-node irradiation. Materials and Methods Forty-five previously treated patients (74.2 Gy/28fr) were selected and SRSs (in the bladder, associated with late dysuria/hematuria/retention; in the rectum, associated with bleeding) were generated using deformable registration. A KB model was used to obtain clinically suitable plans (KB-plan). KB-plans were further optimized using MCO, aiming to reduce dose to the SRSs while safeguarding target dose coverage, homogeneity and avoiding worsening dose volume histograms of the whole bladder, rectum and other organs at risk. The resulting MCO-generated plans were examined to identify the best-compromise plan (KB + MCO-plan). Results The mean SRS dose decreased in almost all patients for each SRS. D1% also decreased in the large majority, less frequently for dysuria/bleeding SRS. Mean differences were statistically significant (p < 0.05) and ranged between 1.3 and 2.2 Gy with maximum reduction of mean dose up to 3-5 Gy for the four SRSs. The better sparing of SRSs was obtained without compromising PTVs coverage. Conclusions Selectively sparing SRSs without compromising PTV coverage is feasible and has the potential to reduce toxicities in prostate cancer radiotherapy. Further investigation to better quantify the expected risk reduction of late toxicities is warranted.
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Affiliation(s)
- Lisa Alborghetti
- IRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy
| | | | - Carlos Sosa Marrero
- CLCC Eugène Marquis, INSERM, LTSI—UMR1099, F-35000, Univ Rennes, Rennes, France
| | - Alessia Tudda
- IRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy
| | | | - Sara Broggi
- IRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy
| | - Javier Pascau
- Universidad Carlos III de Madrid, Bioengineering Department, Madrid, Spain
| | - Lucia Cubero
- Universidad Carlos III de Madrid, Bioengineering Department, Madrid, Spain
| | - Cesare Cozzarini
- IRCCS San Raffaele Scientific Institute, Radiotherapy, Milano, Italy
| | | | - Tiziana Rancati
- Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Progetto Prostata, Milano, Italy
| | - Oscar Acosta
- CLCC Eugène Marquis, INSERM, LTSI—UMR1099, F-35000, Univ Rennes, Rennes, France
| | - Claudio Fiorino
- IRCCS San Raffaele Scientific Institute, Medical Physics, Milano, Italy
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Patrick HM, Poon E, Kildea J. Experimental validation of a novel method of dose accumulation for the rectum. Acta Oncol 2023; 62:915-922. [PMID: 37504890 DOI: 10.1080/0284186x.2023.2238556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/08/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Dose-surface maps (DSMs) are an increasingly popular tool to evaluate spatial dose-outcome relationships for the rectum. Recently, DSM addition has been proposed as an alternative method of dose accumulation from deformable registration-based techniques. In this study, we performed the first experimental investigation of the accuracy at which DSM accumulation can capture the total dose delivered to a rectum's surface in the presence of inter-fraction motion. MATERIAL AND METHODS A custom PVC rectum phantom capable of representing typical rectum inter-fraction motion and filling variations was constructed for this project. The phantom allowed for the placement of EBT3 film sheets on the representative rectum surface to measure rectum surface dose. A multi-fraction prostate VMAT treatment was designed and delivered to the phantom in a water tank for a variety of inter-fraction motion scenarios. DSMs for each fraction were calculated in two ways using CBCT images acquired during delivery and summed to produce accumulated DSMs. Accumulated DSMs were then compared to film measurements using gamma analysis (3%/2 mm criteria). Similarity of isodose clusters between films and DSMs was also investigated. RESULTS Baseline agreement between film measurements and accumulated DSMs for a stationary rectum was 95.6%. Agreement between film and accumulated DSMs in the presence of different types of inter.-fraction motion was ≥92%, and isodose cluster mean distance to agreement was within 1.5 mm for most scenarios. Overall, DSM accumulation performed the best when using DSMs that accounted for changes in rectum path orientation. CONCLUSION Dose accumulation performed with DSMs was found to accurately replicate total delivered dose to a rectum phantom in the presence of inter-fraction motion.
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Affiliation(s)
- H M Patrick
- Medical Physics Unit, McGill University, Montreal, Québec, Canada
| | - E Poon
- Department of Medical Physics, McGill University Health Centre, Montreal, Québec, Canada
| | - J Kildea
- Medical Physics Unit, McGill University, Montreal, Québec, Canada
- Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
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Davey A, Thor M, van Herk M, Faivre-Finn C, Rimner A, Deasy JO, McWilliam A. Predicting cancer relapse following lung stereotactic radiotherapy: an external validation study using real-world evidence. Front Oncol 2023; 13:1156389. [PMID: 37503315 PMCID: PMC10369005 DOI: 10.3389/fonc.2023.1156389] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/27/2023] [Indexed: 07/29/2023] Open
Abstract
Purpose For patients receiving lung stereotactic ablative radiotherapy (SABR), evidence suggests that high peritumor density predicts an increased risk of microscopic disease (MDE) and local-regional failure, but only if there is low or heterogenous incidental dose surrounding the tumor (GTV). A data-mining method (Cox-per-radius) has been developed to investigate this dose-density interaction. We apply the method to predict local relapse (LR) and regional failure (RF) in patients with non-small cell lung cancer. Methods 199 patients treated in a routine setting were collated from a single institution for training, and 76 patients from an external institution for validation. Three density metrics (mean, 90th percentile, standard deviation (SD)) were studied in 1mm annuli between 0.5cm inside and 2cm outside the GTV boundary. Dose SD and fraction of volume receiving less than 30Gy were studied in annuli 0.5-2cm outside the GTV to describe incidental MDE dosage. Heat-maps were created that correlate with changes in LR and RF rates due to the interaction between dose heterogeneity and density at each distance combination. Regions of significant improvement were studied in Cox proportional hazards models, and explored with and without re-fitting in external data. Correlations between the dose component of the interaction and common dose metrics were reported. Results Local relapse occurred at a rate of 6.5% in the training cohort, and 18% in the validation cohort, which included larger and more centrally located tumors. High peritumor density in combination with high dose variability (0.5 - 1.6cm) predicts LR. No interactions predicted RF. The LR interaction improved the predictive ability compared to using clinical variables alone (optimism-adjusted C-index; 0.82 vs 0.76). Re-fitting model coefficients in external data confirmed the importance of this interaction (C-index; 0.86 vs 0.76). Dose variability in the 0.5-1.6 cm annular region strongly correlates with heterogeneity inside the target volume (SD; ρ = 0.53 training, ρ = 0.65 validation). Conclusion In these real-world cohorts, the combination of relatively high peritumor density and high dose variability predicts increase in LR, but not RF, following lung SABR. This external validation justifies potential use of the model to increase low-dose CTV margins for high-risk patients.
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Affiliation(s)
- Angela Davey
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Maria Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Marcel van Herk
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Corinne Faivre-Finn
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Joseph O. Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Alan McWilliam
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
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Patrick HM, Kildea J. Technical note: rtdsm-An open-source software for radiotherapy dose-surface map generation and analysis. Med Phys 2022; 49:7327-7335. [PMID: 35912447 DOI: 10.1002/mp.15900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/07/2022] [Accepted: 07/23/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Dose-outcome studies in radiation oncology have historically excluded spatial information due to dose-volume histograms being the most dominant source of dosimetric information. In recent years, dose-surface maps (DSMs) have become increasingly popular for characterization of spatial dose distributions and identification of radiosensitive subregions for hollow organs. However, methodological variations and lack of open-source, publicly offered code-sharing between research groups have limited reproducibility and wider adoption. PURPOSE This paper presents rtdsm, an open-source software for DSM calculation with the intent to improve the reproducibility of and the access to DSM-based research in medical physics and radiation oncology. METHODS A literature review was conducted to identify essential functionalities and prevailing calculation approaches to guide development. The described software has been designed to calculate DSMs from DICOM data with a high degree of user customizability and to facilitate DSM feature analysis. Core functionalities include DSM calculation, equivalent dose conversions, common DSM feature extraction, and simple DSM accumulation. RESULTS A number of use cases were used to qualitatively and quantitatively demonstrate the use and usefulness of rtdsm. Specifically, two DSM slicing methods, planar and noncoplanar, were implemented and tested, and the effects of method choice on output DSMs were demonstrated. An example comparison of DSMs from two different treatments was used to highlight the use cases of various built-in analysis functions for equivalent dose conversion and DSM feature extraction. CONCLUSIONS We developed and implemented rtdsm as a standalone software that provides all essential functionalities required to perform a DSM-based study. It has been made freely accessible under an open-source license on Github to encourage collaboration and community use.
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Affiliation(s)
- Haley M Patrick
- Medical Physics Unit, McGill University, Montreal, Quebec, Canada.,Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - John Kildea
- Medical Physics Unit, McGill University, Montreal, Quebec, Canada.,Cancer Research Program, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
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Joseph N, Cicchetti A, McWilliam A, Webb A, Seibold P, Fiorino C, Cozzarini C, Veldeman L, Bultijnck R, Fonteyne V, Talbot CJ, Symonds PR, Johnson K, Rattay T, Lambrecht M, Haustermans K, De Meerleer G, Elliott RM, Sperk E, Herskind C, Veldwijk M, Avuzzi B, Giandini T, Valdagni R, Azria D, Jacquet MPF, Charissoux M, Vega A, Aguado-Barrera ME, Gómez-Caamaño A, Franco P, Garibaldi E, Girelli G, Iotti C, Vavassori V, Chang-Claude J, West CML, Rancati T, Choudhury A. High weekly integral dose and larger fraction size increase risk of fatigue and worsening of functional outcomes following radiotherapy for localized prostate cancer. Front Oncol 2022; 12:937934. [PMID: 36387203 PMCID: PMC9645430 DOI: 10.3389/fonc.2022.937934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 09/28/2022] [Indexed: 11/27/2022] Open
Abstract
Introduction We hypothesized that increasing the pelvic integral dose (ID) and a higher dose per fraction correlate with worsening fatigue and functional outcomes in localized prostate cancer (PCa) patients treated with external beam radiotherapy (EBRT). Methods The study design was a retrospective analysis of two prospective observational cohorts, REQUITE (development, n=543) and DUE-01 (validation, n=228). Data were available for comorbidities, medication, androgen deprivation therapy, previous surgeries, smoking, age, and body mass index. The ID was calculated as the product of the mean body dose and body volume. The weekly ID accounted for differences in fractionation. The worsening (end of radiotherapy versus baseline) of European Organisation for Research and Treatment of Cancer EORTC) Quality of Life Questionnaire (QLQ)-C30 scores in physical/role/social functioning and fatigue symptom scales were evaluated, and two outcome measures were defined as worsening in ≥2 (WS2) or ≥3 (WS3) scales, respectively. The weekly ID and clinical risk factors were tested in multivariable logistic regression analysis. Results In REQUITE, WS2 was seen in 28% and WS3 in 16% of patients. The median weekly ID was 13.1 L·Gy/week [interquartile (IQ) range 10.2-19.3]. The weekly ID, diabetes, the use of intensity-modulated radiotherapy, and the dose per fraction were significantly associated with WS2 [AUC (area under the receiver operating characteristics curve) =0.59; 95% CI 0.55-0.63] and WS3 (AUC=0.60; 95% CI 0.55-0.64). The prevalence of WS2 (15.3%) and WS3 (6.1%) was lower in DUE-01, but the median weekly ID was higher (15.8 L·Gy/week; IQ range 13.2-19.3). The model for WS2 was validated with reduced discrimination (AUC=0.52 95% CI 0.47-0.61), The AUC for WS3 was 0.58. Conclusion Increasing the weekly ID and the dose per fraction lead to the worsening of fatigue and functional outcomes in patients with localized PCa treated with EBRT.
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Affiliation(s)
- Nuradh Joseph
- Department of Clinical Oncology, District General Hambantota, Hambantota, Sri Lanka
- Sri Lanka Cancer Research Group, Sri Lanka College of Oncologists, Maharagama, Sri Lanka
| | - Alessandro Cicchetti
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Hambantota, Italy
| | - Alan McWilliam
- Department of Medical Physics, University of Manchester, Manchester, United Kingdom
| | - Adam Webb
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Petra Seibold
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Claudio Fiorino
- Department of Medical Physics, San Raffaele Scientific Institute - IRCCS, Milan, Italy
| | - Cesare Cozzarini
- Department of Radiation Oncology, San Raffaele Scientific Institute - IRCCS, Milan, Italy
| | - Liv Veldeman
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Renée Bultijnck
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Valérie Fonteyne
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Christopher J. Talbot
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Paul R. Symonds
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Kerstie Johnson
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Tim Rattay
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, United Kingdom
| | - Maarten Lambrecht
- Department of Radiation Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Karin Haustermans
- Department of Radiation Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Gert De Meerleer
- Department of Radiation Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Rebecca M. Elliott
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, and The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Elena Sperk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Carsten Herskind
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marlon Veldwijk
- Department of Radiation Oncology, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Barbara Avuzzi
- Department of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Tommaso Giandini
- Department of Medical Physics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Riccardo Valdagni
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Hambantota, Italy
- Department of Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Department of Oncology and Haemato-Oncology, University of Milan, Milan, Italy
| | - David Azria
- Department of Radiation Oncology, University Federation of Radiation Oncology, Montpellier Cancer Institute, Univ Montpellier MUSE, Grant INCa_Inserm_DGOS_12553, Inserm U1194, Montpellier, France
| | | | - Marie Charissoux
- University Federation of Radiation Oncology of Mediterranean Occitanie, ICM Montpellier, Univ Montpellier, Montpellier, France
| | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica, Grupo de Medicina Xenómica (USC), Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Biomedical Network on Rare Diseases (CIBERER), Madrid, Spain
| | - Miguel E. Aguado-Barrera
- Fundación Pública Galega de Medicina Xenómica, Grupo de Medicina Xenómica (USC), Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Antonio Gómez-Caamaño
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Department of Radiation Oncology, Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Pierfrancesco Franco
- Department of Radiation Oncology, Ospedale Regionale U. Parini-AUSL Valle d’Aosta, Aosta, Italy
| | - Elisabetta Garibaldi
- Department of Radiation Oncology, Istituto di Candiolo - Fondazione del Piemonte per l’Oncologia IRCCS, Candiolo, Italy
| | | | - Cinzia Iotti
- Department of Radiation Oncology, Azienda USL – IRCCS di Reggio Emilia, Emilia-Romagna, Italy
| | | | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Catharine M. L. West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, and The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Tiziana Rancati
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Hambantota, Italy
| | - Ananya Choudhury
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, and The Christie NHS Foundation Trust, Manchester, United Kingdom
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9
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Davey A, van Herk M, Faivre-Finn C, McWilliam A. Radial Data Mining to Identify Density-Dose Interactions That Predict Distant Failure Following SABR. Front Oncol 2022; 12:838155. [PMID: 35356210 PMCID: PMC8959483 DOI: 10.3389/fonc.2022.838155] [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: 12/17/2021] [Accepted: 02/11/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Lower dose outside the planned treatment area in lung stereotactic radiotherapy has been linked to increased risk of distant metastasis (DM) possibly due to underdosage of microscopic disease (MDE). Independently, tumour density on pretreatment computed tomography (CT) has been linked to risk of MDE. No studies have investigated the interaction between imaging biomarkers and incidental dose. The interaction would showcase whether the impact of dose on outcome is dependent on imaging and, hence, if imaging could inform which patients require dose escalation outside the gross tumour volume (GTV). We propose an image-based data mining methodology to investigate density-dose interactions radially from the GTV to predict DM with no a priori assumption on location. Methods Dose and density were quantified in 1-mm annuli around the GTV for 199 patients with early-stage lung cancer treated with 60 Gy in 5 fractions. Each annulus was summarised by three density and three dose parameters. For parameter combinations, Cox regressions were performed including a dose-density interaction in independent annuli. Heatmaps were created that described improvement in DM prediction due to the interaction. Regions of significant improvement were identified and studied in overall outcome models. Results Dose-density interactions were identified that significantly improved prediction for over 50% of bootstrap resamples. Dose and density parameters were not significant when the interaction was omitted. Tumour density variance and high peritumour density were associated with DM for patients with more cold spots (less than 30-Gy EQD2) and non-uniform dose about 3 cm outside of the GTV. Associations identified were independent of the mean GTV dose. Conclusions Patients with high tumour variance and peritumour density have increased risk of DM if there is a low and non-uniform dose outside the GTV. The dose regions are independent of tumour dose, suggesting that incidental dose may play an important role in controlling occult disease. Understanding such interactions is key to identifying patients who will benefit from dose-escalation. The methodology presented allowed spatial dose-density interactions to be studied at the exploratory stage for the first time. This could accelerate the clinical implementation of imaging biomarkers by demonstrating the impact of incidental dose for tumours of varying characteristics in routine data.
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Affiliation(s)
- Angela Davey
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Marcel van Herk
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.,Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Corinne Faivre-Finn
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.,Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom.,Department of Clinical Oncology, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
| | - Alan McWilliam
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.,Department of Radiotherapy Related Research, The Christie National Health Service (NHS) Foundation Trust, Manchester, United Kingdom
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10
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Ebert MA, Gulliford S, Acosta O, de Crevoisier R, McNutt T, Heemsbergen WD, Witte M, Palma G, Rancati T, Fiorino C. Spatial descriptions of radiotherapy dose: normal tissue complication models and statistical associations. Phys Med Biol 2021; 66:12TR01. [PMID: 34049304 DOI: 10.1088/1361-6560/ac0681] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/28/2021] [Indexed: 12/20/2022]
Abstract
For decades, dose-volume information for segmented anatomy has provided the essential data for correlating radiotherapy dosimetry with treatment-induced complications. Dose-volume information has formed the basis for modelling those associations via normal tissue complication probability (NTCP) models and for driving treatment planning. Limitations to this approach have been identified. Many studies have emerged demonstrating that the incorporation of information describing the spatial nature of the dose distribution, and potentially its correlation with anatomy, can provide more robust associations with toxicity and seed more general NTCP models. Such approaches are culminating in the application of computationally intensive processes such as machine learning and the application of neural networks. The opportunities these approaches have for individualising treatment, predicting toxicity and expanding the solution space for radiation therapy are substantial and have clearly widespread and disruptive potential. Impediments to reaching that potential include issues associated with data collection, model generalisation and validation. This review examines the role of spatial models of complication and summarises relevant published studies. Sources of data for these studies, appropriate statistical methodology frameworks for processing spatial dose information and extracting relevant features are described. Spatial complication modelling is consolidated as a pathway to guiding future developments towards effective, complication-free radiotherapy treatment.
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Affiliation(s)
- Martin A Ebert
- School of Physics, Mathematics and Computing, University of Western Australia, Crawley, Western Australia, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- 5D Clinics, Claremont, Western Australia, Australia
| | - Sarah Gulliford
- Department of Radiotherapy Physics, University College Hospitals London, United Kingdom
- Department of Medical Physics and Bioengineering, University College London, United Kingdom
| | - Oscar Acosta
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI-UMR 1099, F-35000 Rennes, France
| | | | - Todd McNutt
- Johns Hopkins University, Baltimore, Maryland, United States of America
| | | | - Marnix Witte
- The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Giuseppe Palma
- Institute of Biostructures and Bioimaging, National Research Council, Napoli, Italy
| | - Tiziana Rancati
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Claudio Fiorino
- Medical Physics, San Raffaele Scientific Institute, Milano, Italy
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11
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Niebuhr NI, Splinter M, Bostel T, Seco J, Hentschke CM, Floca RO, Hörner-Rieber J, Alber M, Huber P, Nicolay NH, Pfaffenberger A. Biologically consistent dose accumulation using daily patient imaging. Radiat Oncol 2021; 16:65. [PMID: 33823885 PMCID: PMC8025323 DOI: 10.1186/s13014-021-01789-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 03/17/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This work addresses a basic inconsistency in the way dose is accumulated in radiotherapy when predicting the biological effect based on the linear quadratic model (LQM). To overcome this inconsistency, we introduce and evaluate the concept of the total biological dose, bEQDd. METHODS Daily computed tomography imaging of nine patients treated for prostate carcinoma with intensity-modulated radiotherapy was used to compute the delivered deformed dose on the basis of deformable image registration (DIR). We compared conventional dose accumulation (DA) with the newly introduced bEQDd, a new method of accumulating biological dose that considers each fraction dose and tissue radiobiology. We investigated the impact of the applied fractionation scheme (conventional/hypofractionated), uncertainties induced by the DIR and by the assigned α/β-value. RESULTS bEQDd was systematically higher than the conventionally accumulated dose with difference hot spots of 3.3-4.9 Gy detected in six out of nine patients in regions of high dose gradient in the bladder and rectum. For hypofractionation, differences are up to 8.4 Gy. The difference amplitude was found to be in a similar range to worst-case uncertainties induced by DIR and was higher than that induced by α/β. CONCLUSION Using bEQDd for dose accumulation overcomes a potential systematic inaccuracy in biological effect prediction based on accumulated dose. Highest impact is found for serial-type late responding organs at risk in dose gradient regions and for hypofractionation. Although hot spot differences are in the order of several Gray, in dose-volume parameters there is little difference compared with using conventional or biological DA. However, when local dose information is used, e.g. dose surface maps, difference hot spots can potentially change outcomes of dose-response modelling and adaptive treatment strategies.
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Affiliation(s)
- Nina I Niebuhr
- Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany. .,Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany. .,Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany.
| | - Mona Splinter
- Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
| | - Tilman Bostel
- Clinical Cooperation Unit "Radiation Oncology", German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University Medical Center Mainz, Mainz, Germany
| | - Joao Seco
- Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany.,Biomedical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Clemens M Hentschke
- Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.,Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Ralf O Floca
- Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.,Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Juliane Hörner-Rieber
- Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.,Clinical Cooperation Unit "Radiation Oncology", German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Markus Alber
- Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany.,Department of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Peter Huber
- Clinical Cooperation Unit "Radiation Oncology", German Cancer Research Center (DKFZ), Heidelberg, Germany.,Molecular Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nils H Nicolay
- Clinical Cooperation Unit "Radiation Oncology", German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Freiburg University Medical Center, Freiburg, Germany
| | - Asja Pfaffenberger
- Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Heidelberg Institute for Radiooncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany
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12
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Vaginal dose-surface maps in cervical cancer brachytherapy: Methodology and preliminary results on correlation with morbidity. Brachytherapy 2021; 20:565-575. [PMID: 33741274 DOI: 10.1016/j.brachy.2021.02.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 01/28/2021] [Accepted: 02/07/2021] [Indexed: 11/20/2022]
Abstract
PURPOSE The purpose of the study was to develop a methodology for vaginal dose-surface maps (DSMs) in patients with cervix cancer and to investigate dose-surface histogram metrics as predictors for vaginal stenosis (St) and mucositis (Muc). METHODS AND MATERIALS Thirty-one patients with locally advanced cervix cancer with no vaginal St/Muc (CTCAE-v3) G ≥ 2 at baseline were analyzed. Patients were divided in four morbidity groups: 15 with St/Muc G0/1, 6 with St G ≥ 2, 4 with St/Muc G ≥ 2, and 6 with Muc G ≥ 2. Patients received external beam radiotherapy and 4-fraction intracavitary/interstitial high-dose-rate brachytherapy using tandem and ovoids. DSMs were generated from inner/outer vaginal surfaces. DSMs of external beam radiotherapy and brachytherapy (Gy EQD23) were added based on a system of homologous points, to generate cumulative DSMs. Dose-surface histogram/dose-volume histogram parameters, location of high/intermediate-dose regions, rectovaginal reference point, vaginal lateral 5 mm point doses, and vagina/implant dimensions were investigated for St and Muc prediction. Average/difference DSMs and one-way analysis of variance were used to compare between groups. RESULTS Best predictors of stenosis were D15-25cm2 and upper-vagina S65-120Gy(%). Cutoffs of ∼90 Gy EQD23 for D20cm2 and ∼80% for S65Gy to top 3 cm inner vaginal surface suitably discriminated for stenosis. Spatial dose location on average/difference DSMs showed significantly higher doses (by > 20 Gy, p < 0.001) over longer parts of the dorsolateral vagina and higher rectovaginal reference point doses for any G ≥ 2 morbidity, over the whole circumference of the upper vagina for G ≥ 2 stenosis. Dose-volume histogram parameters were dependent on vaginal wall thickness. An increase of wall thickness from 2 to 4 mm resulted in an increase of D2cm3 (D4cm3) of 16% (32%). CONCLUSIONS A novel method was developed to generate vaginal DSMs and spatial-dose metrics. DSMs were found to correlate with vaginal stenosis. The findings of this study are promising and should be further validated on a larger patient cohort, treated with different applicators.
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13
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Xiao M, Benoit A, Hasmim M, Duhem C, Vogin G, Berchem G, Noman MZ, Janji B. Targeting Cytoprotective Autophagy to Enhance Anticancer Therapies. Front Oncol 2021; 11:626309. [PMID: 33718194 PMCID: PMC7951055 DOI: 10.3389/fonc.2021.626309] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/15/2021] [Indexed: 12/21/2022] Open
Abstract
Autophagy is a highly regulated multi-step process that occurs at the basal level in almost all cells. Although the deregulation of the autophagy process has been described in several pathologies, the role of autophagy in cancer as a cytoprotective mechanism is currently well established and supported by experimental and clinical evidence. Our understanding of the molecular mechanism of the autophagy process has largely contributed to defining how we can harness this process to improve the benefit of cancer therapies. While the role of autophagy in tumor resistance to chemotherapy is extensively documented, emerging data point toward autophagy as a mechanism of cancer resistance to radiotherapy, targeted therapy, and immunotherapy. Therefore, manipulating autophagy has emerged as a promising strategy to overcome tumor resistance to various anti-cancer therapies, and autophagy modulators are currently evaluated in combination therapies in several clinical trials. In this review, we will summarize our current knowledge of the impact of genetically and pharmacologically modulating autophagy genes and proteins, involved in the different steps of the autophagy process, on the therapeutic benefit of various cancer therapies. We will also briefly discuss the challenges and limitations to developing potent and selective autophagy inhibitors that could be used in ongoing clinical trials.
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Affiliation(s)
- Malina Xiao
- Tumor Immunotherapy and Microenvironment (TIME) Group, Department of Oncology, Luxembourg Institute of Health (LIH), Luxembourg City, Luxembourg
| | - Alice Benoit
- Tumor Immunotherapy and Microenvironment (TIME) Group, Department of Oncology, Luxembourg Institute of Health (LIH), Luxembourg City, Luxembourg
| | - Meriem Hasmim
- Tumor Immunotherapy and Microenvironment (TIME) Group, Department of Oncology, Luxembourg Institute of Health (LIH), Luxembourg City, Luxembourg
| | - Caroline Duhem
- Department of Hemato-oncology, Centre Hospitalier du Luxembourg, Luxembourg City, Luxembourg
| | - Guillaume Vogin
- Université de Lorraine - UMR 7365, Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), Vandoeuvre-lès-Nancy, France.,Centre François Baclesse, Esch-sur-Alzette, Luxembourg
| | - Guy Berchem
- Tumor Immunotherapy and Microenvironment (TIME) Group, Department of Oncology, Luxembourg Institute of Health (LIH), Luxembourg City, Luxembourg.,Department of Hemato-oncology, Centre Hospitalier du Luxembourg, Luxembourg City, Luxembourg
| | - Muhammad Zaeem Noman
- Tumor Immunotherapy and Microenvironment (TIME) Group, Department of Oncology, Luxembourg Institute of Health (LIH), Luxembourg City, Luxembourg
| | - Bassam Janji
- Tumor Immunotherapy and Microenvironment (TIME) Group, Department of Oncology, Luxembourg Institute of Health (LIH), Luxembourg City, Luxembourg
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14
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Pedersen J, Liang X, Casares-Magaz O, Bryant C, Mendenhall N, Li Z, Muren LP. Multivariate normal tissue complication probability models for rectal and bladder morbidity in prostate cancer patients treated with proton therapy. Radiother Oncol 2020; 153:279-288. [PMID: 33096166 DOI: 10.1016/j.radonc.2020.10.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 10/14/2020] [Accepted: 10/15/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND AND PURPOSE Normal tissue complication probability (NTCP) models applied for model-based patient selection to proton therapy (PT) have usually been derived using dose/volume histogram (DVH) parameters from photon-based radiotherapy. This study aimed to derive PT-specific multivariate NTCP models that also accounted for the spatial dose distribution (rectum only) as well as non-dose/volume related factors. MATERIALS AND METHODS The study included rectum and bladder DVHs, 2D rectal dose maps and relevant patient/treatment characteristics from 1151 prostate cancer cases treated with PT. Prospectively scored Grade 2 late rectal bleeding (CTCAE v3.0, also procedural interventions separately) (n = 156 (15%)) and Grade 3+ GU morbidity (n = 51 (4%)) were entered into a multivariate logistic regression analysis. Model evaluation included assessment of the area under the receiver operating characteristic curve (AUC). RESULTS Anticoagulant use was a dominant predictor, chosen in four of the six rectum models and in the bladder model. Age was a dominant predictor in all procedural only rectum models while prostate volume, bladder D5% and V75Gy were predictors in the bladder model. The selection frequency of the dose/volume predictors varied widely, where the percentage of the anterior rectum surface receiving >=75 Gy was the most robust. AUC values ranged from 0.58 to 0.70 across all models, with no clear difference between the DVH- and spatial-based models for the rectum. CONCLUSION Anticoagulant use and age were the most prominent predictors in the NTCP models. V75Gy of the rectal wall and the bladder was a predictor in the DVH-based models of the rectum and bladder respectively.
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Affiliation(s)
- Jesper Pedersen
- Danish Centre for Particle Therapy, Aarhus University Hospital/Aarhus University, Denmark.
| | - Xiaoying Liang
- University of Florida Health Proton Therapy Institute, Jacksonville, USA
| | - Oscar Casares-Magaz
- Danish Centre for Particle Therapy, Aarhus University Hospital/Aarhus University, Denmark
| | - Curtis Bryant
- University of Florida Health Proton Therapy Institute, Jacksonville, USA
| | - Nancy Mendenhall
- University of Florida Health Proton Therapy Institute, Jacksonville, USA
| | - Zuofeng Li
- University of Florida Health Proton Therapy Institute, Jacksonville, USA
| | - Ludvig P Muren
- Danish Centre for Particle Therapy, Aarhus University Hospital/Aarhus University, Denmark
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15
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McWilliam A, Dootson C, Graham L, Banfill K, Abravan A, van Herk M. Dose surface maps of the heart can identify regions associated with worse survival for lung cancer patients treated with radiotherapy. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2020; 15:46-51. [PMID: 33458326 PMCID: PMC7807666 DOI: 10.1016/j.phro.2020.07.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 07/06/2020] [Accepted: 07/10/2020] [Indexed: 12/13/2022]
Abstract
Creation of a modified cylindrical coordinate system to map cardiac surface dose. Validation of mapping using internal anatomical sub-structures. Identification of surface regions were excess dose is associated with poorer survival.
Background and purpose For lung cancer patients treated with radiotherapy, radiation dose to the heart has been associated with overall survival, with volumetric dose statistics widely presented. However, critical cardiac structures are present on the hearts surface, where this approach may be sub-optimal. In this work we present a methodology for creating cardiac surface dose maps and identify regions where excess dose is associated with in worse overall survival. Material and methods A modified cylindrical coordinate system was implemented to map the cardiac surface dose for lung cancer patients. Validation was performed by mapping the cardiac chambers for 55 patients, fitting a point spread function (PSF) to the blurred edge. To account for this uncertainty, dose maps were blurred by a 2D-Gaussian with width described by the PSF. Permutation testing identified regions where excess dose was associated with worse patient survival. The 99th percentile of the max t-value then defined a cardiac surface region to extract dose, from each patient, to be analysed in a multivariable cox-proportional hazards survival model. Results Cardiac surface maps were created for 648 lung cancer patients. Cardiac surface dose maps were blurred with a 2D- Gaussian filter of size σφ = 4.3° and σy = 1.3units to account for mapping uncertainties. Permutation testing identified significant differences across the surface of the right atria, p < 0.001, at all timepoints. The median dose to the region defined by the 99th percentile of the maximum t-value was 18.5 Gy. Multivariable analysis showed the dose to this region was significantly associated with survival, hazard ratio 1.01 Gy−1, p = 0.03, controlling for confounding variables. Conclusions Cardiac surface mapping was successfully implemented and identified a region where excess dose was associated with worse patient survival. This region extended over the right atria, potentially suggesting an interaction with the hearts electrical conduction system.
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Affiliation(s)
- Alan McWilliam
- Division of Clinical Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK.,Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| | - Chloe Dootson
- Department of Physics and Astronomy, The University of Manchester, UK
| | - Lewis Graham
- Department of Physics and Astronomy, The University of Manchester, UK
| | - Kathryn Banfill
- Division of Clinical Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK.,Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| | - Azadeh Abravan
- Division of Clinical Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK.,Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
| | - Marcel van Herk
- Division of Clinical Cancer Science, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK.,Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK
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16
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Marcello M, Denham JW, Kennedy A, Haworth A, Steigler A, Greer PB, Holloway LC, Dowling JA, Jameson MG, Roach D, Joseph DJ, Gulliford SL, Dearnaley DP, Sydes MR, Hall E, Ebert MA. Increased Dose to Organs in Urinary Tract Associates With Measures of Genitourinary Toxicity in Pooled Voxel-Based Analysis of 3 Randomized Phase III Trials. Front Oncol 2020; 10:1174. [PMID: 32793485 PMCID: PMC7387667 DOI: 10.3389/fonc.2020.01174] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Accepted: 06/09/2020] [Indexed: 12/21/2022] Open
Abstract
Purpose: Dose information from organ sub-regions has been shown to be more predictive of genitourinary toxicity than whole organ dose volume histogram information. This study aimed to identify anatomically-localized regions where 3D dose is associated with genitourinary toxicities in healthy tissues throughout the pelvic anatomy. Methods and Materials: Dose distributions for up to 656 patients of the Trans-Tasman Radiation Oncology Group 03.04 RADAR trial were deformably registered onto a single exemplar CT dataset. Voxel- based multiple comparison permutation dose difference testing, Cox regression modeling and LASSO feature selection were used to identify regions where 3D dose-increase was associated with late grade ≥ 2 genitourinary dysuria, incontinence and frequency, and late grade ≥ 1 haematuria. This was externally validated by registering dose distributions from the RT01 (up to n = 388) and CHHiP (up to n = 247) trials onto the same exemplar and repeating the voxel-based tests on each of these data sets. All three datasets were then combined, and the tests repeated. Results: Voxel-based Cox regression and multiple comparison permutation dose difference testing revealed regions where increased dose was correlated with genitourinary toxicity. Increased dose in the vicinity of the membranous and spongy urethra was associated with dysuria for all datasets. Haematuria was similarly correlated with increased dose at the membranous and spongy urethra, for the RADAR, CHHiP, and combined datasets. Some evidence was found for the association between incontinence and increased dose at the internal and external urethral sphincter for RADAR and the internal sphincter alone for the combined dataset. Incontinence was also strongly correlated with dose from posterior oblique beams. Patients with fields extending inferiorly and posteriorly to the CTV, adjacent to the membranous and spongy urethra, were found to experience increased frequency. Conclusions: Anatomically-localized dose-toxicity relationships were determined for late genitourinary symptoms in the urethra and urinary sphincters. Low-intermediate doses to the extraprostatic urethra were associated with risk of late dysuria and haematuria, while dose to the urinary sphincters was associated with incontinence.
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Affiliation(s)
- Marco Marcello
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Physics, University of Western Australia, Perth, WA, Australia
| | - James W. Denham
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Angel Kennedy
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Annette Haworth
- School of Physics, University of Sydney, Sydney, NSW, Australia
| | - Allison Steigler
- Prostate Cancer Trials Group, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Peter B. Greer
- School of Mathematical and Physical Sciences, University of Newcastle, Callaghan, NSW, Australia
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, NSW, Australia
| | - Lois C. Holloway
- Department of Medical Physics, Liverpool Cancer Centre, Liverpool, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales, Kensington, NSW, Australia
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Jason A. Dowling
- School of Mathematical and Physical Sciences, University of Newcastle, Callaghan, NSW, Australia
- CSIRO, St Lucia, QLD, Australia
| | - Michael G. Jameson
- Department of Medical Physics, Liverpool Cancer Centre, Liverpool, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales, Kensington, NSW, Australia
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
- Cancer Research Team, Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
| | - Dale Roach
- Department of Medical Physics, Liverpool Cancer Centre, Liverpool, NSW, Australia
- South Western Sydney Clinical School, University of New South Wales, Kensington, NSW, Australia
- Cancer Research Team, Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
| | - David J. Joseph
- School of Surgery, University of Western Australia, Perth, WA, Australia
- 5D Clinics, Claremont, WA, Australia
- GenesisCare WA, Wembley, WA, Australia
| | - Sarah L. Gulliford
- Radiotherapy Department, University College London Hospitals NHS Foundation Trust, London, United Kingdom
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - David P. Dearnaley
- Academic UroOncology Unit, The Institute of Cancer Research and the Royal Marsden NHS Trust, London, United Kingdom
| | - Matthew R. Sydes
- MRC Clinical Trials Unit, Medical Research Council, London, United Kingdom
| | - Emma Hall
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom
| | - Martin A. Ebert
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Physics, University of Western Australia, Perth, WA, Australia
- 5D Clinics, Claremont, WA, Australia
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17
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Casares-Magaz O, Moiseenko V, Witte M, Rancati T, Muren LP. Towards spatial representations of dose distributions to predict risk of normal tissue morbidity after radiotherapy. Phys Imaging Radiat Oncol 2020; 15:105-107. [PMID: 33458334 PMCID: PMC7807547 DOI: 10.1016/j.phro.2020.08.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Oscar Casares-Magaz
- Department of Medical Physics - Oncology, Aarhus University/Aarhus University Hospital, Aarhus, Denmark
| | - Vitali Moiseenko
- Department of Radiation Medicine and Applied Science, University of California San Diego, La Jolla, CA, United States
| | - Marnix Witte
- Cluster Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Tiziana Rancati
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Ludvig P Muren
- Department of Medical Physics - Oncology, Aarhus University/Aarhus University Hospital, Aarhus, Denmark
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18
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Ibragimov B, Toesca DAS, Chang DT, Yuan Y, Koong AC, Xing L, Vogelius IR. Deep learning for identification of critical regions associated with toxicities after liver stereotactic body radiation therapy. Med Phys 2020; 47:3721-3731. [DOI: 10.1002/mp.14235] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 04/02/2020] [Accepted: 05/05/2020] [Indexed: 12/26/2022] Open
Affiliation(s)
- Bulat Ibragimov
- Department of Computer Science University of Copenhagen Copenhagen Denmark
| | - Diego A. S. Toesca
- Department of Radiation Oncology Stanford University School of Medicine Stanford CA USA
| | - Daniel T. Chang
- Department of Radiation Oncology Stanford University School of Medicine Stanford CA USA
| | - Yixuan Yuan
- Department of Electronic Engineering City University of Hong Kong Hong Kong
| | - Albert C. Koong
- Department of Radiation Oncology MD Anderson Cancer Center Houston Texas
| | - Lei Xing
- Department of Radiation Oncology Stanford University School of Medicine Stanford CA USA
| | - Ivan R. Vogelius
- Department of Oncology Faulty of Health & Medical Sciences Rigshospitalet University of Copenhagen Copenhagen Denmark
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19
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Local dose analysis to predict acute and late urinary toxicities after prostate cancer radiotherapy: Assessment of cohort and method effects. Radiother Oncol 2020; 147:40-49. [DOI: 10.1016/j.radonc.2020.02.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 01/28/2020] [Accepted: 02/28/2020] [Indexed: 01/03/2023]
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20
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Cicchetti A, Laurino F, Possenti L, Rancati T, Zunino P. In silico model of the early effects of radiation therapy on the microcirculation and the surrounding tissues. Phys Med 2020; 73:125-134. [DOI: 10.1016/j.ejmp.2020.04.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 04/01/2020] [Accepted: 04/04/2020] [Indexed: 12/11/2022] Open
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21
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Shelley LEA, Sutcliffe MPF, Thomas SJ, Noble DJ, Romanchikova M, Harrison K, Bates AM, Burnet NG, Jena R. Associations between voxel-level accumulated dose and rectal toxicity in prostate radiotherapy. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2020; 14:87-94. [PMID: 32582869 PMCID: PMC7301619 DOI: 10.1016/j.phro.2020.05.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 05/15/2020] [Accepted: 05/18/2020] [Indexed: 12/25/2022]
Abstract
Background and Purpose Associations between dose and rectal toxicity in prostate radiotherapy are generally poorly understood. Evaluating spatial dose distributions to the rectal wall (RW) may lead to improvements in dose-toxicity modelling by incorporating geometric information, masked by dose-volume histograms. Furthermore, predictive power may be strengthened by incorporating the effects of interfraction motion into delivered dose calculations.Here we interrogate 3D dose distributions for patients with and without toxicity to identify rectal subregions at risk (SRR), and compare the discriminatory ability of planned and delivered dose. Material and Methods Daily delivered dose to the rectum was calculated using image guidance scans, and accumulated at the voxel level using biomechanical finite element modelling. SRRs were statistically determined for rectal bleeding, proctitis, faecal incontinence and stool frequency from a training set (n = 139), and tested on a validation set (n = 47). Results SRR patterns differed per endpoint. Analysing dose to SRRs improved discriminative ability with respect to the full RW for three of four endpoints. Training set AUC and OR analysis produced stronger toxicity associations from accumulated dose than planned dose. For rectal bleeding in particular, accumulated dose to the SRR (AUC 0.76) improved upon dose-toxicity associations derived from planned dose to the RW (AUC 0.63). However, validation results could not be considered significant. Conclusions Voxel-level analysis of dose to the RW revealed SRRs associated with rectal toxicity, suggesting non-homogeneous intra-organ radiosensitivity. Incorporating spatial features of accumulated delivered dose improved dose-toxicity associations. This may be an important tool for adaptive radiotherapy in the future.
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Affiliation(s)
- Leila E A Shelley
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,Edinburgh Cancer Centre, Western General Hospital, Edinburgh EH4 2XU, United Kingdom.,Department of Engineering, University of Cambridge, Trumpington St, Cambridge CB21PZ, United Kingdom
| | - Michael P F Sutcliffe
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,Department of Engineering, University of Cambridge, Trumpington St, Cambridge CB21PZ, United Kingdom
| | - Simon J Thomas
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,Department of Medical Physics and Clinical Engineering, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - David J Noble
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,Department of Oncology, University of Cambridge, Cambridge Biomedical Campus, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, United Kingdom
| | - Marina Romanchikova
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,National Physical Laboratory, Teddington TW11 0JE, United Kingdom
| | - Karl Harrison
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,Cavendish Laboratory, University of Cambridge, J J Thomson Avenue, Cambridge CB3 0HE, United Kingdom
| | - Amy M Bates
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,Cambridge Clinical Trials Unit, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Neil G Burnet
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom
| | - Raj Jena
- Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.,Department of Oncology, University of Cambridge, Cambridge Biomedical Campus, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, United Kingdom
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22
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Palma G, Monti S, Cella L. Voxel-based analysis in radiation oncology: A methodological cookbook. Phys Med 2020; 69:192-204. [PMID: 31923757 DOI: 10.1016/j.ejmp.2019.12.013] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 12/20/2022] Open
Abstract
Recently, 2D or 3D methods for dose distribution analysis have been proposed as evolutions of the Dose Volume Histogram (DVH) approaches. Those methods, collectively referred to as pixel- or voxel-based (VB) methods, evaluate local dose response patterns and go beyond the organ-based philosophy of Normal Tissue Complication Probability (NTCP) modelling. VB methods have been introduced in the context of radiation oncology in the very last years following the virtuous example of neuroimaging experience. In radiation oncology setting, dose mapping is a suitable scheme to compare spatial patterns of local dose distributions between patients who develop toxicity and who do not. In this critical review, we present the methods that include spatial dose distribution information for evaluating different toxicity endpoints after radiation therapy. The review addresses two main topics. First, the critical aspects in dose map building, namely the spatial normalization of the dose distributions from different patients. Then, the issues related to the actual dose map comparison, i.e. the viable options for a robust VB statistical analysis and the potential pitfalls related to the adopted solutions. To elucidate the different theoretical and technical issues, the covered topics are illustrated in relation to practical applications found in the existing literature. We conclude the overview on the VB philosophy in radiation oncology by introducing new phenomenological approaches to NTCP modelling that accounts for inhomogeneous organ radiosensitivity.
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Affiliation(s)
- G Palma
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy.
| | - S Monti
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
| | - L Cella
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
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23
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Monti S, Paganelli C, Buizza G, Preda L, Valvo F, Baroni G, Palma G, Cella L. A novel framework for spatial normalization of dose distributions in voxel-based analyses of brain irradiation outcomes. Phys Med 2020; 69:164-169. [PMID: 31918368 DOI: 10.1016/j.ejmp.2019.12.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 12/05/2019] [Accepted: 12/17/2019] [Indexed: 11/29/2022] Open
Abstract
PURPOSE To devise a novel Spatial Normalization framework for Voxel-based analysis (VBA) in brain radiotherapy. VBAs rely on accurate spatial normalization of different patients' planning CTs on a common coordinate system (CCS). The cerebral anatomy, well characterized by MRI, shows instead poor contrast in CT, resulting in potential inaccuracies in VBAs based on CT alone. METHODS We analyzed 50 meningioma patients treated with proton-therapy, undergoing planning CT and T1-weighted (T1w) MRI. The spatial normalization pipeline based on MR and CT images consisted in: intra-patient registration of CT to T1w, inter-patient registration of T1w to MNI space chosen as CCS, doses propagation to MNI. The registration quality was compared with that obtained by Statistical Parametric Mapping software (SPM), used as benchmark. To evaluate the accuracy of dose normalization, the dose organ overlap (DOO) score was computed on gray matter, white matter and cerebrospinal fluid before and after normalization. In addition, the trends in the DOOs distribution were investigated by means of cluster analysis. RESULTS The registration quality was higher for the proposed method compared to SPM (p < 0.001). The DOO scores showed a significant improvement after normalization (p < 0.001). The cluster analysis highlighted 2 clusters, with one of them including the majority of data and exhibiting acceptable DOOs. CONCLUSIONS Our study presents a robust tool for spatial normalization, specifically tailored for brain dose VBAs. Furthermore, the cluster analysis provides a formal criterion for patient exclusion in case of non-acceptable normalization results. The implemented framework lays the groundwork for future reliable VBAs in brain irradiation studies.
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Affiliation(s)
- S Monti
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy.
| | - C Paganelli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - G Buizza
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - L Preda
- National Centre of Oncological Hadrontherapy, Pavia, Italy
| | - F Valvo
- National Centre of Oncological Hadrontherapy, Pavia, Italy
| | - G Baroni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
| | - G Palma
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
| | - L Cella
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
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24
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Onjukka E, Fiorino C, Cicchetti A, Palorini F, Improta I, Gagliardi G, Cozzarini C, Degli Esposti C, Gabriele P, Valdagni R, Rancati T. Patterns in ano-rectal dose maps and the risk of late toxicity after prostate IMRT. Acta Oncol 2019; 58:1757-1764. [PMID: 31298076 DOI: 10.1080/0284186x.2019.1635267] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Purpose: The aim of this work was to determine how the spatial pattern of dose in the ano-rectal wall is related to late gastro-intestinal toxicity for prostate cancer patients treated with mainly IMRT.Patients and methods: Patients from the DUE-01 multicentre study with patient-reported (prospective) follow-up and available dosimetric data were included. Conventionally fractionated patients received 74-80 Gy and hypofractionated patients received 65-75.2 Gy. A large majority of the patients were treated with intensity-modulated radiotherapy (IMRT). Dose-surface maps (DSMs) for the anal canal and rectum as a single structure, and for the anal canal and the rectum separately, were co-registered rigidly in two dimensions and, for the patients with and without toxicity, respectively, the mean value of the dose in each pixel was calculated. A pixel-wise t-test was used to highlight the anatomical areas where there was a significant difference between the 'mean dose maps' of each group. Univariate models were also fitted to a range of spatial parameters. The endpoints considered were a mean grade ≥1 late fecal incontinence and a maximum grade ≥2 late rectal bleeding.Results: Twenty-six out of 213 patients had fecal incontinence, while 21/225 patients had rectal bleeding. Incontinence was associated with a higher dose in the caudal region of the anal canal; the most relevant spatial parameter was the lateral extent of the low and medium isodoses (5-49 Gy in EQD2). Bleeding was associated with high isodoses reaching the posterior rectal wall. The spatial dose parameters with the highest AUC value (.69) were the lateral extent of the 60-70 Gy isodoses.Conclusions: To avoid fecal incontinence it is important to limit the portion of the anal canal irradiated. Our analysis confirms that rectal bleeding is a function of similar spatial dose parameters for patients treated with IMRT, compared to previous studies on patients treated with three-dimensional conformal radiotherapy.
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Affiliation(s)
- Eva Onjukka
- Karolinska University Hospital, Stockholm, Sweden
| | | | | | | | | | | | | | | | - Pietro Gabriele
- Istituto di Candiolo - Fondazione del Piemonte per l'Oncologia IRCCS, Candiolo, Italy
| | | | - Tiziana Rancati
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
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25
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Palma G, Monti S, Conson M, Pacelli R, Cella L. Normal tissue complication probability (NTCP) models for modern radiation therapy. Semin Oncol 2019; 46:210-218. [PMID: 31506196 DOI: 10.1053/j.seminoncol.2019.07.006] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 07/31/2019] [Indexed: 02/07/2023]
Abstract
Mathematical models of normal tissue complication probability (NTCP) able to robustly predict radiation-induced morbidities (RIM) play an essential role in the identification of a personalized optimal plan, and represent the key to maximizing the benefits of technological advances in radiation therapy (RT). Most modern RT techniques pose, however, new challenges in estimating the risk of RIM. The aim of this report is to schematically review NTCP models in the framework of advanced radiation therapy techniques. Issues relevant to hypofractionated stereotactic body RT and ion beam therapy are critically reviewed. Reirradiation scenarios for new or recurrent malignances and NTCP are also illustrated. A new phenomenological approach to predict RIM is suggested.
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Affiliation(s)
- Giuseppe Palma
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
| | - Serena Monti
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy
| | - Manuel Conson
- Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy
| | - Roberto Pacelli
- Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy
| | - Laura Cella
- National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy.
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26
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New approaches for effective and safe pelvic radiotherapy in high-risk prostate cancer. Nat Rev Urol 2019; 16:523-538. [DOI: 10.1038/s41585-019-0213-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2019] [Indexed: 02/07/2023]
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27
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Palma G, Monti S, Buonanno A, Pacelli R, Cella L. PACE: A Probabilistic Atlas for Normal Tissue Complication Estimation in Radiation Oncology. Front Oncol 2019; 9:130. [PMID: 30918837 PMCID: PMC6424876 DOI: 10.3389/fonc.2019.00130] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 02/13/2019] [Indexed: 12/23/2022] Open
Abstract
In radiation oncology, the need for a modern Normal Tissue Complication Probability (NTCP) philosophy to include voxel-based evidence on organ radio-sensitivity (RS) has been acknowledged. Here a new formalism (Probabilistic Atlas for Complication Estimation, PACE) to predict radiation-induced morbidity (RIM) is presented. The adopted strategy basically consists in keeping the structure of a classical, phenomenological NTCP model, such as the Lyman-Kutcher-Burman (LKB), and replacing the dose distribution with a collection of RIM odds, including also significant non-dosimetric covariates, as input of the model framework. The theory was first demonstrated in silico on synthetic dose maps, classified according to synthetic outcomes. PACE was then applied to a clinical dataset of thoracic cancer patients classified for lung fibrosis. LKB models were trained for comparison. Overall, the obtained learning curves showed that the PACE model outperformed the LKB and predicted synthetic outcomes with an accuracy >0.8. On the real patients, PACE performance, evaluated by both discrimination and calibration, was significantly higher than LKB. This trend was confirmed by cross-validation. Furthermore, the capability to infer the spatial pattern of underlying RS map for the analyzed RIM was successfully demonstrated, thus paving the way to new perspectives of NTCP models as learning tools.
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Affiliation(s)
- Giuseppe Palma
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
| | | | - Amedeo Buonanno
- Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, Italy
| | - Roberto Pacelli
- Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy
| | - Laura Cella
- Institute of Biostructures and Bioimaging, National Research Council, Naples, Italy
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28
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Mylona E, Acosta O, Lizee T, Lafond C, Crehange G, Magné N, Chiavassa S, Supiot S, Ospina Arango JD, Campillo-Gimenez B, Castelli J, de Crevoisier R. Voxel-Based Analysis for Identification of Urethrovesical Subregions Predicting Urinary Toxicity After Prostate Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2019; 104:343-354. [PMID: 30716523 DOI: 10.1016/j.ijrobp.2019.01.088] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 01/22/2019] [Accepted: 01/26/2019] [Indexed: 12/18/2022]
Abstract
PURPOSE To apply a voxel-based analysis to identify urethrovesical symptom-related subregions (SRSs) associated with acute and late urinary toxicity in prostate cancer radiation therapy. METHODS AND MATERIALS Two hundred seventy-two patients with prostate cancer treated with intensity-modulated radiation therapy/image-guided radiation therapy were analyzed prospectively. Each patient's computed tomography imaging was spatially normalized to a common coordinate system via nonrigid registration. The obtained deformation fields were used to map the dose of each patient to the common coordinate system. A voxel-based statistical analysis was applied to generate 3-dimensional dose-volume maps for different urinary symptoms, allowing the identification of corresponding SRSs with statistically significant dose differences between patients with or without toxicity. Each SRS was propagated back to each individual's native space, and dose-volume histograms (DVHs) for the SRSs and the whole bladder were computed. Logistic and Cox regression were used to estimate the SRS's prediction capability compared with the whole bladder. RESULTS A local dose-effect relationship was found in the bladder and the urethra. SRSs were identified for 5 symptoms: acute incontinence in the urethra, acute retention in the bladder trigone, late retention and dysuria in the posterior part of the bladder, and late hematuria in the superior part of the bladder, with significant dose differences between patients with and without toxicity, ranging from 1.2 to 9.3 Gy. The doses to the SRSs were significantly predictive of toxicity, with maximum areas under the receiver operating characteristic curve of 0.73 for acute incontinence, 0.62 for acute retention, 0.70 for late retention, 0.81 for late dysuria, and 0.67 for late hematuria. The bladder DVH was predictive only for late retention, dysuria, and hematuria (area under the curve, 0.65-0.72). CONCLUSIONS The dose delivered to the urethra and the posterior and superior parts of the bladder was predictive of acute incontinence and retention and of late retention, dysuria, and hematuria. The dose to the whole bladder was moderately predictive.
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Affiliation(s)
- Eugenia Mylona
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France
| | - Oscar Acosta
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France
| | - Thibaut Lizee
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France
| | - Caroline Lafond
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France
| | - Gilles Crehange
- Department of Radiation Oncology, Centre Georges François Leclerc, Dijon, France
| | - Nicolas Magné
- Department of Radiation Oncology, Lucien Neuwirth Cancer Institute, St Priest en Jarez, France
| | - Sophie Chiavassa
- Department of Radiation Oncology, Institut de Cancérologie de l'Ouest, Saint Herblain, France
| | - Stéphane Supiot
- Department of Radiation Oncology, Institut de Cancérologie de l'Ouest, Saint Herblain, France
| | - Juan David Ospina Arango
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France; Universidad Nacional de Colombia, Medellin, Colombia
| | | | - Joel Castelli
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France
| | - Renaud de Crevoisier
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.
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29
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Effect of accounting for interfractional CTV shape variations in PTV margins on prostate cancer radiation treatment plans. Phys Med 2018; 54:66-76. [DOI: 10.1016/j.ejmp.2018.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 09/01/2018] [Accepted: 09/20/2018] [Indexed: 11/18/2022] Open
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30
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Development of a prediction model for late urinary incontinence, hematuria, pain and voiding frequency among irradiated prostate cancer patients. PLoS One 2018; 13:e0197757. [PMID: 30016325 PMCID: PMC6049922 DOI: 10.1371/journal.pone.0197757] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Accepted: 05/08/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND PURPOSE Incontinence, hematuria, voiding frequency and pain during voiding are possible side effects of radiotherapy among patients treated for prostate cancer. The objective of this study was to develop multivariable NTCP models for these side effects. MATERIAL AND METHODS This prospective cohort study was composed of 243 patients with localized or locally advanced prostate cancer (stage T1-3). Genito-urinary (GU) toxicity was assessed using a standardized follow-up program. The GU toxicity endpoints were scored using the Common Terminology Criteria for Adverse Events version 3.0 (CTCAE 3.0) scoring system. The full bladder and different anatomical subregions within the bladder were delineated. A least absolute shrinkage and selection operator (LASSO) logistic regression analysis was used to analyze dose volume effects on the four individual endpoints. RESULTS In the univariable analysis, urinary incontinence was significantly associated with dose distributions in the trigone (V55-V75, mean). Hematuria was significantly associated with the bladder wall dose (V40-V75, mean), bladder dose (V70-V75), cardiovascular disease and anticoagulants use. Pain during urinating was associated with the dose to the trigone (V50-V75, mean) and with trans transurethral resection of the prostate (TURP). In the final multivariable model urinary incontinence was associated with the mean dose of the trigone. Hematuria was associated with bladder wall dose (V75) and cardiovascular disease, while pain during urinating was associated with trigone dose (V75) and TURP. No significant associations were found for increase in voiding frequency. CONCLUSIONS Radiation-induced urinary side effects are associated with dose distributions to different organs as risk. Given the dose effect relationships found, decreasing the dose to the trigone and bladder wall may reduce the incidence of incontinence, pain during voiding and hematuria, respectively.
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31
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Chen J, Chen H, Zhong Z, Wang Z, Hrycushko B, Zhou L, Jiang S, Albuquerque K, Gu X, Zhen X. Investigating rectal toxicity associated dosimetric features with deformable accumulated rectal surface dose maps for cervical cancer radiotherapy. Radiat Oncol 2018; 13:125. [PMID: 29980214 PMCID: PMC6035458 DOI: 10.1186/s13014-018-1068-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 06/18/2018] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Better knowledge of the dose-toxicity relationship is essential for safe dose escalation to improve local control in cervical cancer radiotherapy. The conventional dose-toxicity model is based on the dose volume histogram, which is the parameter lacking spatial dose information. To overcome this limit, we explore a comprehensive rectal dose-toxicity model based on both dose volume histogram and dose map features for accurate radiation toxicity prediction. METHODS Forty-two cervical cancer patients treated with combined external beam radiotherapy (EBRT) and brachytherapy (BT) were retrospectively studied, including 12 with Grade ≥ 2 rectum toxicity and 30 patients with Grade 0-1 toxicity (non-toxicity patients). The cumulative equivalent 2-Gy rectal surface dose was deformably summed using the deformation vector fields obtained through a recent developed local topology preserved non-rigid point matching algorithm. The cumulative three-dimensional (3D) dose was flattened and mapped to a two-dimensional (2D) plane to obtain the rectum surface dose map (RSDM). The dose volume parameters (DVPs) were calculated from the 3D rectum surface, while the texture features and the dose geometric parameters (DGPs) were extracted from the 2D RSDM. Representative features further computed from DVPs, textures and DGPs by principle component analysis (PCA) and statistical analysis were respectively fed into a support vector machine equipped with a sequential feature selection procedure. The predictive powers of the representative features were compared with the GEC-ESTRO dosimetric parameters D0.1/1/2cm3. RESULTS Satisfactory predictive accuracy of sensitivity 74.75 and 84.75%, specificity 72.67 and 79.87%, and area under the receiver operating characteristic curve (AUC) 0.82 and 0.91 were respectively achieved by the PCA features and statistical significant features, which were superior to the D0.1/1/2cm3 (AUC 0.71). The relative area in dose levels of 64Gy, 67Gy, 68Gy, 87Gy, 88Gy and 89Gy, perimeters in dose levels of 89Gy, as well as two texture features were ranked as the important factors that were closely correlated with rectal toxicity. CONCLUSIONS Our extensive experimental results have demonstrated the feasibility of the proposed scheme. A future large patient cohort study is still needed for model validation.
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Affiliation(s)
- Jiawei Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Haibin Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Zichun Zhong
- Department of Computer Science, Wayne State University, Detroit, MI, 48202, USA
| | - Zhuoyu Wang
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 805 Sherbrooke Street West, Montreal, Quebec, H3A 0G4, Canada
| | - Brian Hrycushko
- Department of Radiation Oncology, The University of Texas, Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Linghong Zhou
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, Guangdong, China.
| | - Steve Jiang
- Department of Radiation Oncology, The University of Texas, Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Kevin Albuquerque
- Department of Radiation Oncology, The University of Texas, Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Xuejun Gu
- Department of Radiation Oncology, The University of Texas, Southwestern Medical Center, Dallas, TX, 75390, USA.
| | - Xin Zhen
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, Guangdong, China.
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A case-control study using motion-inclusive spatial dose-volume metrics to account for genito-urinary toxicity following high-precision radiotherapy for prostate cancer. Phys Imaging Radiat Oncol 2018; 7:65-69. [PMID: 33458407 PMCID: PMC7807649 DOI: 10.1016/j.phro.2018.09.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/19/2018] [Accepted: 09/24/2018] [Indexed: 11/21/2022] Open
Abstract
Background and purpose Material and methods Results Conclusions
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Beasley W, Thor M, McWilliam A, Green A, Mackay R, Slevin N, Olsson C, Pettersson N, Finizia C, Estilo C, Riaz N, Lee NY, Deasy JO, van Herk M. Image-based Data Mining to Probe Dosimetric Correlates of Radiation-induced Trismus. Int J Radiat Oncol Biol Phys 2018; 102:1330-1338. [PMID: 30061005 DOI: 10.1016/j.ijrobp.2018.05.054] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 05/09/2018] [Accepted: 05/18/2018] [Indexed: 12/23/2022]
Abstract
PURPOSE To identify imaged regions in which dose is associated with radiation-induced trismus after head and neck cancer radiation therapy (HNRT) using a novel image-based data mining (IBDM) framework. METHODS AND MATERIALS A cohort of 86 HNRT patients were analyzed for region identification. Trismus was characterized as a continuous variable by the maximum incisor-to-incisor opening distance (MID) at 6 months after radiation therapy. Patient anatomies and dose distributions were spatially normalized to a common frame of reference using deformable image registration. IBDM was used to identify clusters of voxels associated with MID (P ≤ .05 based on permutation testing). The result was externally tested on a cohort of 35 patients with head and neck cancer. Internally, we also performed a dose-volume histogram-based analysis by comparing the magnitude of the correlation between MID and the mean dose for the IBDM-identified cluster in comparison with 5 delineated masticatory structures. RESULTS A single cluster was identified with the IBDM approach (P < .01), partially overlapping with the ipsilateral masseter. The dose-volume histogram-based analysis confirmed that the IBDM cluster had the strongest association with MID, followed by the ipsilateral masseter and the ipsilateral medial pterygoid (Spearman's rank correlation coefficients: Rs = -0.36, -0.35, -0.32; P = .001, .001, .002, respectively). External validation confirmed an association between mean dose to the IBDM cluster and MID (Rs = -0.45; P = .007). CONCLUSIONS IBDM bypasses the common assumption that dose patterns within structures are unimportant. Our novel IBDM approach for continuous outcome variables successfully identified a cluster of voxels that are highly associated with trismus, overlapping partially with the ipsilateral masseter. Tests on an external validation cohort showed an even stronger correlation with trismus. These results support use of the region in HNRT treatment planning to potentially reduce trismus.
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Affiliation(s)
- William Beasley
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom; Christie Medical Physics and Engineering, Christie NHS Foundation Trust, Manchester, United Kingdom.
| | - Maria Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alan McWilliam
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom; Christie Medical Physics and Engineering, Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Andrew Green
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Ranald Mackay
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom; Christie Medical Physics and Engineering, Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Nick Slevin
- Department of Clinical Oncology, Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Caroline Olsson
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Niclas Pettersson
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Caterina Finizia
- Department of Otorhinolaryngology, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Cherry Estilo
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nancy Y Lee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marcel van Herk
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
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Monti S, Pacelli R, Cella L, Palma G. Inter-patient image registration algorithms to disentangle regional dose bioeffects. Sci Rep 2018; 8:4915. [PMID: 29559687 PMCID: PMC5861107 DOI: 10.1038/s41598-018-23327-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 03/06/2018] [Indexed: 12/25/2022] Open
Abstract
Radiation therapy (RT) technological advances call for a comprehensive reconsideration of the definition of dose features leading to radiation induced morbidity (RIM). In this context, the voxel-based approach (VBA) to dose distribution analysis in RT offers a radically new philosophy to evaluate local dose response patterns, as an alternative to dose-volume-histograms for identifying dose sensitive regions of normal tissue. The VBA relies on mapping patient dose distributions into a single reference case anatomy which serves as anchor for local dosimetric evaluations. The inter-patient elastic image registrations (EIRs) of the planning CTs provide the deformation fields necessary for the actual warp of dose distributions. In this study we assessed the impact of EIR on the VBA results in thoracic patients by identifying two state-of-the-art EIR algorithms (Demons and B-Spline). Our analysis demonstrated that both the EIR algorithms may be successfully used to highlight subregions with dose differences associated with RIM that substantially overlap. Furthermore, the inclusion for the first time of covariates within a dosimetric statistical model that faces the multiple comparison problem expands the potential of VBA, thus paving the way to a reliable voxel-based analysis of RIM in datasets with strong correlation of the outcome with non-dosimetric variables.
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Affiliation(s)
| | - Roberto Pacelli
- Department of Advanced Biomedical Sciences, "Federico II" University School of Medicine, Napoli, Italy
| | - Laura Cella
- Institute of Biostructures and Bioimaging, National Research Council, Napoli, Italy.
| | - Giuseppe Palma
- Institute of Biostructures and Bioimaging, National Research Council, Napoli, Italy
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Scalco E, Rancati T, Pirovano I, Mastropietro A, Palorini F, Cicchetti A, Messina A, Avuzzi B, Valdagni R, Rizzo G. Texture analysis of T1-w and T2-w MR images allows a quantitative evaluation of radiation-induced changes of internal obturator muscles after radiotherapy for prostate cancer. Med Phys 2018; 45:1518-1528. [DOI: 10.1002/mp.12798] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 12/21/2017] [Accepted: 01/26/2018] [Indexed: 02/07/2023] Open
Affiliation(s)
- Elisa Scalco
- Institute of Molecular Bioimaging and Physiology; CNR; Segrate Italy
| | - Tiziana Rancati
- Prostate Cancer Program; Fondazione IRCCS Istituto Nazionale dei Tumori; Milano Italy
| | - Ileana Pirovano
- Institute of Molecular Bioimaging and Physiology; CNR; Segrate Italy
| | | | - Federica Palorini
- Prostate Cancer Program; Fondazione IRCCS Istituto Nazionale dei Tumori; Milano Italy
| | - Alessandro Cicchetti
- Prostate Cancer Program; Fondazione IRCCS Istituto Nazionale dei Tumori; Milano Italy
| | - Antonella Messina
- Radiology; Fondazione IRCCS Istituto Nazionale dei Tumori; Milano Italy
| | - Barbara Avuzzi
- Radiation Oncology 1; Fondazione IRCCS Istituto Nazionale dei Tumori; Milano Italy
| | - Riccardo Valdagni
- Prostate Cancer Program; Fondazione IRCCS Istituto Nazionale dei Tumori; Milano Italy
- Radiation Oncology 1; Fondazione IRCCS Istituto Nazionale dei Tumori; Milano Italy
- Department of Oncology and Hemato-oncology; Università degli Studi di Milano; Milano Italy
| | - Giovanna Rizzo
- Institute of Molecular Bioimaging and Physiology; CNR; Segrate Italy
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Acosta O, Mylona E, Le Dain M, Voisin C, Lizee T, Rigaud B, Lafond C, Gnep K, de Crevoisier R. Multi-atlas-based segmentation of prostatic urethra from planning CT imaging to quantify dose distribution in prostate cancer radiotherapy. Radiother Oncol 2017; 125:492-499. [PMID: 29031609 DOI: 10.1016/j.radonc.2017.09.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 08/27/2017] [Accepted: 09/15/2017] [Indexed: 01/01/2023]
Abstract
BACKGROUND AND PURPOSE Segmentation of intra-prostatic urethra for dose assessment from planning CT may help explaining urinary toxicity in prostate cancer radiotherapy. This work sought to: i) propose an automatic method for urethra segmentation in CT, ii) compare it with previously proposed surrogate models and iii) quantify the dose received by the urethra in patients treated with IMRT. MATERIALS AND METHODS A weighted multi-atlas-based urethra segmentation method was devised from a training data set of 55 CT scans of patients receiving brachytherapy with visible urinary catheters. Leave-one-out cross validation was performed to quantify the error between the urethra segmentation and the catheter ground truth with two scores: the centerlines distance (CLD) and the percentage of centerline within a certain distance from the catheter (PWR). The segmentation method was then applied to a second test data set of 95 prostate cancer patients having received 78Gy IMRT to quantify dose to the urethra. RESULTS Mean CLD was 3.25±1.2mm for the whole urethra and 3.7±1.7mm, 2.52±1.5mm, and 3.01±1.7mm for the top, middle, and bottom thirds, respectively. In average, 53% of the segmented centerlines were within a radius<3.5mm from the centerline ground truth and 83% in a radius<5mm. The proposed method outperformed existing surrogate models. In IMRT, urethra DVH was significantly higher than prostate DVH from V74Gy to V79Gy. CONCLUSION A multi-atlas-based segmentation method was proposed enabling assessment of the dose within the prostatic urethra.
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Affiliation(s)
- Oscar Acosta
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France.
| | - Eugenia Mylona
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France
| | - Mathieu Le Dain
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France
| | - Camille Voisin
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France
| | - Thibaut Lizee
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France
| | - Bastien Rigaud
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France
| | - Carolina Lafond
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France; Centre Eugene Marquis, Département de Radiothérapie, Rennes, France
| | - Khemara Gnep
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France; Centre Eugene Marquis, Département de Radiothérapie, Rennes, France
| | - Renaud de Crevoisier
- INSERM U1099, Rennes, France; Université de Rennes 1 - Laboratoire du Traitement du Signal et de l'Image, France; Centre Eugene Marquis, Département de Radiothérapie, Rennes, France
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Monti S, Palma G, D'Avino V, Gerardi M, Marvaso G, Ciardo D, Pacelli R, Jereczek-Fossa BA, Alterio D, Cella L. Voxel-based analysis unveils regional dose differences associated with radiation-induced morbidity in head and neck cancer patients. Sci Rep 2017; 7:7220. [PMID: 28775281 PMCID: PMC5543173 DOI: 10.1038/s41598-017-07586-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 06/29/2017] [Indexed: 02/04/2023] Open
Abstract
The risk of radiation-induced toxicity in patients treated for head and neck (HN) cancer with radiation therapy (RT) is traditionally estimated by condensing the 3D dose distribution into a monodimensional cumulative dose-volume histogram which disregards information on dose localization. We hypothesized that a voxel-based approach would identify correlations between radiation-induced morbidity and local dose release, thus providing a new insight into spatial signature of radiation sensitivity in composite regions like the HN district. This methodology was applied to a cohort of HN cancer patients treated with RT at risk of radiation-induced acute dysphagia (RIAD). We implemented an inter-patient elastic image registration framework that proved robust enough to match even the most elusive HN structures and to provide accurate dose warping. A voxel-based statistical analysis was then performed to test regional dosimetric differences between patients with and without RIAD. We identified a significantly higher dose delivered to RIAD patients in two voxel clusters in correspondence of the cricopharyngeus muscle and cervical esophagus. Our study goes beyond the well-established organ-based philosophy exploring the relationship between radiation-induced morbidity and local dose differences in the HN region. This approach is generally applicable to different HN toxicity endpoints and is not specific to RIAD.
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Affiliation(s)
| | - Giuseppe Palma
- Institute of Biostructures and Bioimaging, National Research Council (CNR), Naples, Italy
| | - Vittoria D'Avino
- Institute of Biostructures and Bioimaging, National Research Council (CNR), Naples, Italy
| | - Marianna Gerardi
- Department of Radiotherapy, European Institute of Oncology, Milan, Italy
| | - Giulia Marvaso
- Department of Radiotherapy, European Institute of Oncology, Milan, Italy
| | - Delia Ciardo
- Department of Radiotherapy, European Institute of Oncology, Milan, Italy
| | - Roberto Pacelli
- Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy
| | - Barbara A Jereczek-Fossa
- Department of Radiotherapy, European Institute of Oncology, Milan, Italy.,Department of Oncology and Hemato-oncology, University of Milan, Milano, Italy
| | - Daniela Alterio
- Department of Radiotherapy, European Institute of Oncology, Milan, Italy
| | - Laura Cella
- Institute of Biostructures and Bioimaging, National Research Council (CNR), Naples, Italy.
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Understanding Urinary Toxicity after Radiotherapy for Prostate Cancer: First Steps Forward. TUMORI JOURNAL 2017; 103:395-404. [DOI: 10.5301/tj.5000681] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2017] [Indexed: 01/10/2023]
Abstract
One of the most relevant achievements of Professor Gianni Bonadonna was the implementation of the methodology of controlled clinical trials in medical oncology. It is valid for all cancer types, oncological disciplines and clinical endpoints, both survival and toxicity. This narrative review reports on the status of the current knowledge of the radiation-induced urinary syndrome after external-beam radiotherapy for prostate cancer. In recent years, the syndrome has been the object of large-scale prospective observational trials specifically devoted to investigating the association of patient and treatment features with acute/late urinary toxicity. The first results of these trials allow initial attempts at predictive modeling, which can serve as a basis for the optimization of patient selection and treatment planning.
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Casares-Magaz O, Moiseenko V, Hopper A, Pettersson NJ, Thor M, Knopp R, Deasy JO, Muren LP, Einck J. Associations between volume changes and spatial dose metrics for the urinary bladder during local versus pelvic irradiation for prostate cancer. Acta Oncol 2017; 56:884-890. [PMID: 28401808 DOI: 10.1080/0284186x.2017.1312014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Inter-fractional variation in urinary bladder volumes during the course of radiotherapy (RT) for prostate cancer causes deviations between planned and delivered doses. This study compared planned versus daily cone-beam CT (CBCT)-based spatial bladder dose distributions, for prostate cancer patients receiving local prostate treatment (local treatment) versus prostate including pelvic lymph node irradiation (pelvic treatment). MATERIAL AND METHODS Twenty-seven patients (N = 15 local treatment; N = 12 pelvic treatment) were treated using daily image-guided RT (1.8 Gy@43-45 fx), adhering to a full bladder/empty rectum protocol. For each patient, 9-10 CBCTs were registered to the planning CT, using the clinically applied translations. The urinary bladder was manually segmented on each CBCT, 3 mm inner shells were generated, and semi and quadrant sectors were created using axial/coronal cuts. Planned and delivered DVH metrics were compared across patients and between the two groups of treatment (t-test, p < .05; Holm-Bonferroni correction). Associations between bladder volume variations and the dose-volume histograms (DVH) of the bladder and its sectors were evaluated (Spearman's rank correlation coefficient, rs). RESULTS Bladder volumes varied considerably during RT (coefficient of variation: 16-58%). The population-averaged planned and delivered DVH metrics were not significantly different at any dose level. Larger treatment bladder volumes resulted in increased absolute volume of the posterior/inferior bladder sector receiving intermediate-high doses, in both groups. The superior bladder sector received less dose with larger bladder volumes for local treatments (rs ± SD: -0.47 ± 0.32), but larger doses for pelvic treatments (rs ± SD: 0.74 ± 0.24). CONCLUSIONS Substantial bladder volume changes during the treatment course occurred even though patients were treated under a full bladder/daily image-guided protocol. Larger bladder volumes resulted in less bladder wall spared at the posterior-inferior sector, regardless the treatment received. Contrary, larger bladder volumes meant larger delivered doses to the superior bladder sector for pelvic RT but smaller doses for local treatments.
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Affiliation(s)
| | - Vitali Moiseenko
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Austin Hopper
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Niclas Johan Pettersson
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Maria Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Rick Knopp
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Joseph O. Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Ludvig Paul Muren
- Department of Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - John Einck
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
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Moulton CR, House MJ, Lye V, Tang CI, Krawiec M, Joseph DJ, Denham JW, Ebert MA. Spatial features of dose-surface maps from deformably-registered plans correlate with late gastrointestinal complications. Phys Med Biol 2017; 62:4118-4139. [PMID: 28445167 DOI: 10.1088/1361-6560/aa663d] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
This study investigates the associations between spatial distribution of dose to the rectal surface and observed gastrointestinal toxicities after deformably registering each phase of a combined external beam radiotherapy (EBRT)/high-dose-rate brachytherapy (HDRBT) prostate cancer treatment. The study contains data for 118 patients where the HDRBT CT was deformably-registered to the EBRT CT. The EBRT and registered HDRBT TG43 dose distributions in a reference 2 Gy/fraction were 3D-summed. Rectum dose-surface maps (DSMs) were obtained by virtually unfolding the rectum surface slice-by-slice. Associations with late peak gastrointestinal toxicities were investigated using voxel-wise DSM analysis as well as parameterised spatial patterns. The latter were obtained by thresholding DSMs from 1-80 Gy (increment = 1) and extracting inferior-superior extent, left-right extent, area, perimeter, compactness, circularity and ellipse fit parameters. Logistic regressions and Mann-Whitney U-tests were used to correlate features with toxicities. Rectal bleeding, stool frequency, diarrhoea and urgency/tenesmus were associated with greater lateral and/or longitudinal spread of the high doses near the anterior rectal surface. Rectal bleeding and stool frequency were also influenced by greater low-intermediate doses to the most inferior 20% of the rectum and greater low-intermediate-high doses to 40-80% of the rectum length respectively. Greater low-intermediate doses to the superior 20% and inferior 20% of the rectum length were associated with anorectal pain and urgency/tenesmus respectively. Diarrhoea, completeness of evacuation and proctitis were also related to greater low doses to the posterior side of the rectum. Spatial features for the intermediate-high dose regions such as area, perimeter, compactness, circularity, ellipse eccentricity and confinement to ellipse fits were strongly associated with toxicities other than anorectal pain. Consequently, toxicity is related to the shape of isodoses as well as dose coverage. The findings indicate spatial constraints on doses to certain sections of the rectum may be important for reducing toxicities and optimising dose.
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Affiliation(s)
- Calyn R Moulton
- School of Physics, University of Western Australia, Crawley, Western Australia, Australia
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Rios R, De Crevoisier R, Ospina JD, Commandeur F, Lafond C, Simon A, Haigron P, Espinosa J, Acosta O. Population model of bladder motion and deformation based on dominant eigenmodes and mixed-effects models in prostate cancer radiotherapy. Med Image Anal 2017; 38:133-149. [PMID: 28343079 DOI: 10.1016/j.media.2017.03.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 02/27/2017] [Accepted: 03/07/2017] [Indexed: 10/20/2022]
Abstract
In radiotherapy for prostate cancer irradiation of neighboring organs at risk may lead to undesirable side-effects. Given this setting, the bladder presents the largest inter-fraction shape variations hampering the computation of the actual delivered dose vs. planned dose. This paper proposes a population model, based on longitudinal data, able to estimate the probability of bladder presence during treatment, using only the planning computed tomography (CT) scan as input information. As in previously-proposed principal component analysis (PCA) population-based models, we have used the data to obtain the dominant eigenmodes that describe bladder geometric variations between fractions. However, we have used a longitudinal analysis along each mode in order to properly characterize patient's variance from the total population variance. We have proposed is a mixed-effects (ME) model in order to separate intra- and inter-patient variability, in an effort to control confounding cohort effects. Other than using PCA, bladder shapes are represented by using spherical harmonics (SPHARM) that additionally enables data compression without information lost. Based on training data from repeated CT scans, the ME model was thus implemented following dimensionality reduction by means of SPHARM and PCA. We have evaluated the model in a leave-one-out cross validation framework on the training data but also using independent data. Probability maps (PMs) were thus generated with several draws from the learnt model as predicted regions where the bladder will likely move and deform. These PMs were compared with the actual regions using metrics based on mutual information distance and misestimated voxels. The prediction was also compared with two previous population PCA-based models. The proposed model was able to reduce the uncertainties in the estimation of the probable region of bladder motion and deformation. This model can thus be used for tailoring radiotherapy treatments.
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Affiliation(s)
- Richard Rios
- INSERM, U1099, F-35000 Rennes, France; Université de Rennes 1, LTSI, F-35000 Rennes, France; Universidad Nacional de Colombia, Facultad de Minas, GAUNAL, Medellín, Colombia.
| | - Renaud De Crevoisier
- INSERM, U1099, F-35000 Rennes, France; Université de Rennes 1, LTSI, F-35000 Rennes, France; CRLCC Eugène Marquis, Département de Radiothérapie, F-35000 Rennes, France
| | - Juan D Ospina
- INSERM, U1099, F-35000 Rennes, France; Université de Rennes 1, LTSI, F-35000 Rennes, France
| | - Frederic Commandeur
- INSERM, U1099, F-35000 Rennes, France; Université de Rennes 1, LTSI, F-35000 Rennes, France
| | - Caroline Lafond
- CRLCC Eugène Marquis, Département de Radiothérapie, F-35000 Rennes, France
| | - Antoine Simon
- INSERM, U1099, F-35000 Rennes, France; Université de Rennes 1, LTSI, F-35000 Rennes, France
| | - Pascal Haigron
- INSERM, U1099, F-35000 Rennes, France; Université de Rennes 1, LTSI, F-35000 Rennes, France
| | - Jairo Espinosa
- Universidad Nacional de Colombia, Facultad de Minas, GAUNAL, Medellín, Colombia
| | - Oscar Acosta
- INSERM, U1099, F-35000 Rennes, France; Université de Rennes 1, LTSI, F-35000 Rennes, France
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Improta I, Palorini F, Cozzarini C, Rancati T, Avuzzi B, Franco P, Degli Esposti C, Del Mastro E, Girelli G, Iotti C, Vavassori V, Valdagni R, Fiorino C. Bladder spatial-dose descriptors correlate with acute urinary toxicity after radiation therapy for prostate cancer. Phys Med 2016; 32:1681-1689. [DOI: 10.1016/j.ejmp.2016.08.013] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 08/16/2016] [Accepted: 08/17/2016] [Indexed: 12/13/2022] Open
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Yahya N, Ebert MA, House MJ, Kennedy A, Matthews J, Joseph DJ, Denham JW. Modeling Urinary Dysfunction After External Beam Radiation Therapy of the Prostate Using Bladder Dose-Surface Maps: Evidence of Spatially Variable Response of the Bladder Surface. Int J Radiat Oncol Biol Phys 2016; 97:420-426. [PMID: 28068247 DOI: 10.1016/j.ijrobp.2016.10.024] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 09/27/2016] [Accepted: 10/14/2016] [Indexed: 01/05/2023]
Abstract
PURPOSE We assessed the association of the spatial distribution of dose to the bladder surface, described using dose-surface maps, with the risk of urinary dysfunction. METHODS AND MATERIALS The bladder dose-surface maps of 754 participants from the TROG 03.04-RADAR trial were generated from the volumetric data by virtually cutting the bladder at the sagittal slice, intersecting the bladder center-of-mass through to the bladder posterior and projecting the dose information on a 2-dimensional plane. Pixelwise dose comparisons were performed between patients with and without symptoms (dysuria, hematuria, incontinence, and an International Prostate Symptom Score increase of ≥10 [ΔIPSS10]). The results with and without permutation-based multiple-comparison adjustments are reported. The pixelwise multivariate analysis findings (peak-event model for dysuria, hematuria, and ΔIPSS10; event-count model for incontinence), with adjustments for clinical factors, are also reported. RESULTS The associations of the spatially specific dose measures to urinary dysfunction were dependent on the presence of specific symptoms. The doses received by the anteroinferior and, to lesser extent, posterosuperior surface of the bladder had the strongest relationship with the incidence of dysuria, hematuria, and ΔIPSS10, both with and without adjustment for clinical factors. For the doses to the posteroinferior region corresponding to the area of the trigone, the only symptom with significance was incontinence. CONCLUSIONS A spatially variable response of the bladder surface to the dose was found for symptoms of urinary dysfunction. Limiting the dose extending anteriorly might help reduce the risk of urinary dysfunction.
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Affiliation(s)
- Noorazrul Yahya
- School of Health Sciences, National University of Malaysia, Kuala Lumpur, Malaysia; School of Physics, University of Western Australia, Perth, Western Australia, Australia.
| | - Martin A Ebert
- School of Physics, University of Western Australia, Perth, Western Australia, Australia; Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Michael J House
- School of Physics, University of Western Australia, Perth, Western Australia, Australia
| | - Angel Kennedy
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - John Matthews
- Department of Radiation Oncology, Auckland City Hospital, Auckland, New Zealand
| | - David J Joseph
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia; School of Surgery, University of Western Australia, Perth, Western Australia, Australia
| | - James W Denham
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
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Yahya N, Ebert MA, Bulsara M, Kennedy A, Joseph DJ, Denham JW. Independent external validation of predictive models for urinary dysfunction following external beam radiotherapy of the prostate: Issues in model development and reporting. Radiother Oncol 2016; 120:339-45. [DOI: 10.1016/j.radonc.2016.05.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 05/11/2016] [Accepted: 05/15/2016] [Indexed: 12/20/2022]
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45
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Landoni V, Fiorino C, Cozzarini C, Sanguineti G, Valdagni R, Rancati T. Predicting toxicity in radiotherapy for prostate cancer. Phys Med 2016; 32:521-32. [PMID: 27068274 DOI: 10.1016/j.ejmp.2016.03.003] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Revised: 02/15/2016] [Accepted: 03/02/2016] [Indexed: 02/08/2023] Open
Abstract
This comprehensive review addresses most organs at risk involved in planning optimization for prostate cancer. It can be considered an update of a previous educational review that was published in 2009 (Fiorino et al., 2009). The literature was reviewed based on PubMed and MEDLINE database searches (from January 2009 up to September 2015), including papers in press; for each section/subsection, key title words were used and possibly combined with other more general key-words (such as radiotherapy, dose-volume effects, NTCP, DVH, and predictive model). Publications generally dealing with toxicity without any association with dose-volume effects or correlations with clinical risk factors were disregarded, being outside the aim of the review. A focus was on external beam radiotherapy, including post-prostatectomy, with conventional fractionation or moderate hypofractionation (<4Gy/fraction); extreme hypofractionation is the topic of another paper in this special issue. Gastrointestinal and urinary toxicity are the most investigated endpoints, with quantitative data published in the last 5years suggesting both a dose-response relationship and the existence of a number of clinical/patient related risk factors acting as dose-response modifiers. Some results on erectile dysfunction, bowel toxicity and hematological toxicity are also presented.
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Affiliation(s)
- Valeria Landoni
- Medical Physics, Istituto Nazionale Tumori Regina Elena, Rome, Italy
| | - Claudio Fiorino
- Medical Physics, Raffaele Scientific Institute IRCCS, Milan, Italy
| | | | | | - Riccardo Valdagni
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Radiation Oncology 1, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Tiziana Rancati
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
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46
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Palorini F, Botti A, Carillo V, Gianolini S, Improta I, Iotti C, Rancati T, Cozzarini C, Fiorino C. Bladder dose-surface maps and urinary toxicity: Robustness with respect to motion in assessing local dose effects. Phys Med 2016; 32:506-11. [PMID: 27053449 DOI: 10.1016/j.ejmp.2016.03.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Revised: 02/29/2016] [Accepted: 03/03/2016] [Indexed: 11/28/2022] Open
Abstract
The purpose of this study was to quantify the impact of inter-fraction modifications of bladder during RT of prostate cancer on bladder dose surface maps (DSM). Eighteen patients treated with daily image-guided Tomotherapy and moderate hypofractionation (70-72.8Gy at 2.5-2.6Gy/fr in 28 fractions and full bladder) were considered. Bladder contours were delineated on co-registered daily Megavoltage CT (MVCT) by a single observer and copied on the planning CT to generate dose-volume/surface histograms (DVH/DSH) and bladder DSMs. Discrepancies between planned and daily absorbed doses were analyzed through the average of individual systematic errors, the population systematic errors and the population random errors for the DVH/DSHs and DSMs. In total, 477 DVH/DSH and 472 DSM were available. DSH and DVH showed small population systematic errors of absolute surfaces (<3.4cm(2)) and volumes (<8.4cm(3)) at the highest doses. The dose to the posterior bladder base assessed on DSMs showed a mean systematic error below 1Gy, with population systematic and random errors within 4 and 3Gy, respectively. The region surrounding this area shows higher mean systematic errors (1-3Gy), population systematic (8-11Gy) and random (5-7Gy) errors. In conclusion, DVH/DSH and DSMs are quite stable with respect to inter-fraction variations in the high-dose region, within about 2cm from bladder base. Larger systematic variations occur in the anterior portion and cranially 2.5-3.5cm from the base. Results suggest that dose predictors related to the high dose area (including the trigone dose) are likely to be sufficiently reliable with respect to the expected variations due to variable bladder filling.
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Affiliation(s)
- F Palorini
- Medical Physics, San Raffaele Scientific Institute IRCCS, Milan, Italy.
| | - A Botti
- Medical Physics, Arcispedale S. M. Nuova, Reggio Emilia, Italy
| | - V Carillo
- Medical Physics, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - S Gianolini
- Medical Software Solutions GmbH, Hagendorn, Switzerland
| | - I Improta
- Medical Physics, San Raffaele Scientific Institute IRCCS, Milan, Italy
| | - C Iotti
- Radiotherapy, Arcispedale S. M. Nuova, Reggio Emilia, Italy
| | - T Rancati
- Prostate Cancer Program, Istituto Nazionale dei Tumori IRCCS, Milan, Italy
| | - C Cozzarini
- Radiotherapy, San Raffaele Scientific Institute, Milan, Italy
| | - C Fiorino
- Medical Physics, San Raffaele Scientific Institute IRCCS, Milan, Italy
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