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Moreira A, Li W, Berlin A, Carpino-Rocca C, Chung P, Conroy L, Dang J, Dawson LA, Glicksman RM, Hosni A, Keller H, Kong V, Lindsay P, Shessel A, Stanescu T, Taylor E, Winter J, Yan M, Letourneau D, Milosevic M, Velec M. Prospective evaluation of patient-reported anxiety and experiences with adaptive radiation therapy on an MR-linac. Tech Innov Patient Support Radiat Oncol 2024; 29:100240. [PMID: 38445180 PMCID: PMC10912905 DOI: 10.1016/j.tipsro.2024.100240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/13/2024] [Accepted: 02/26/2024] [Indexed: 03/07/2024] Open
Abstract
Purpose An integrated magnetic resonance scanner and linear accelerator (MR-linac) was implemented with daily online adaptive radiation therapy (ART). This study evaluated patient-reported experiences with their overall hospital care as well as treatment in the MR-linac environment. Methods Patients pre-screened for MR eligibility and claustrophobia were referred to simulation on a 1.5 T MR-linac. Patient-reported experience measures were captured using two validated surveys. The 15-item MR-anxiety questionnaire (MR-AQ) was administered immediately after the first treatment to rate MR-related anxiety and relaxation. The 40-item satisfaction with cancer care questionnaire rating doctors, radiation therapists, the services and care organization and their outpatient experience was administered immediately after the last treatment using five-point Likert responses. Results were analyzed using descriptive statistics. Results 205 patients were included in this analysis. Multiple sites were treated across the pelvis and abdomen with a median treatment time per fraction of 46 and 66 min respectively. Patients rated MR-related anxiety as "not at all" (87%), "somewhat" (11%), "moderately" (1%) and "very much so" (1%). Positive satisfaction responses ranged from 78 to 100% (median 93%) across all items. All radiation therapist-specific items were rated positively as 96-100%. The five lowest rated items (range 78-85%) were related to general provision of information, coordination, and communication. Overall hospital care was rated positively at 99%. Conclusion In this large, single-institution prospective cohort, all patients had low MR-related anxiety and completed treatment as planned despite lengthy ART treatments with the MR-linac. Patients overall were highly satisfied with their cancer care involving ART using an MR-linac.
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Affiliation(s)
- Amanda Moreira
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Winnie Li
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Alejandro Berlin
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Cathy Carpino-Rocca
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Peter Chung
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Leigh Conroy
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Jennifer Dang
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Laura A. Dawson
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Rachel M. Glicksman
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Ali Hosni
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Harald Keller
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Vickie Kong
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Andrea Shessel
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Teo Stanescu
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Edward Taylor
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Jeff Winter
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Michael Yan
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Daniel Letourneau
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Michael Milosevic
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Michael Velec
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
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Bacon H, McNeil N, Patel T, Welch M, Ye XY, Bezjak A, Lok BH, Raman S, Giuliani M, Cho J, Sun A, Lindsay P, Liu G, Kandel S, McIntosh C, Tadic T, Hope A. Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e4-e5. [PMID: 37785334 DOI: 10.1016/j.ijrobp.2023.06.656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiation pneumonitis (RP) is a common and dose-limiting toxicity following radiotherapy for non-small cell lung cancer (NSCLC). Patients with interstitial lung disease (ILD) are believed to be at increased risk of developing complications including RP, ILD progression, or death. An automated method to identify patients prior to radiotherapy at high risk of developing toxicities or death may allow clinicians to mitigate risk through informed treatment planning and careful patient monitoring. MATERIALS/METHODS All locally advanced NSCLC patients treated with definitive radiation from 2006-2021 with a minimum 1 year of follow-up were assessed. RP and mortality data were prospectively collected and retrospectively reviewed. A convolutional neural network (CNN) was previously developed and validated to identify patients with radiographic ILD using planning computed tomography (CT) images, with an accuracy of 0.82. Planning CT scans for the retrospective cohort were used as input to the CNN, with artificial intelligence-screened ILD (AI-ILD) score as an output. AI-ILD scores above our established threshold were labeled as AI-ILD+. The association between AI-ILD score, AI-ILD+/-, mean lung dose (MLD), and the primary outcome of grade ≥2 (G2+) RP or mortality, as well as the secondary outcomes of G2+ RP and mortality were assessed using Wilcoxon rank sum test, univariate and multivariable logistic regression, and Kaplan-Meier survival analysis. RESULTS Of 799 patients reviewed, 745 eligible patients were included in the analysis; grade 0-5 RP was reported in 51.3%, 27.1%, 16.9%, 4.0%, 0.1%, and 0.5% of patients respectively. Overall, 22.9% of patients were AI-ILD+, and therefore at high risk (>20% chance) of having true ILD. On UVA, AI-ILD score, AI-ILD+ and MLD were significantly associated with the primary outcome of G2+ RP or mortality, as well as the secondary outcome of mortality. However, only MLD was significantly associated with the secondary outcome of G2+ RP. On MVA, both AI-ILD+ (OR 1.42, 95% CI 1.02-1.97, p = 0.04) and MLD (OR 1.13, 95% 1.05-1.21, p = 0.008) were significantly associated with G2+ RP or mortality. On Kaplan-Meier analysis, the median toxicity-free survival (TFS) time for AI-ILD+ and AI-ILD- patients were 1.7 and 3.4 years respectively, with a 2-year TFS of 48.3% vs. 59.3% (log-rank test: p = 0.02). There was no significant difference in rates of G2+ RP. CONCLUSION The AI-ILD algorithm can detect high risk patients with significantly decreased TFS following definitive treatment for NSCLC. AI-ILD classification was not associated with a significant difference in rates of RP when accounting for MLD. Future work will focus on improving the classification algorithm, expert radiologist validation of this dataset, and exploring reasons for the mortality difference in AI-ILD+ patients.
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Affiliation(s)
- H Bacon
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - N McNeil
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - T Patel
- Techna Institute, University Health Network, Toronto, ON, Canada
| | - M Welch
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - X Y Ye
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - A Bezjak
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - B H Lok
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Raman
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - M Giuliani
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Cho
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Sun
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - P Lindsay
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - G Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Kandel
- Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada
| | - C McIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - T Tadic
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Hope
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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Li W, Padayachee J, Navarro I, Winter J, Dang J, Raman S, Kong V, Berlin A, Catton C, Glicksman R, Malkov V, McPartlin A, Kataki K, Lindsay P, Chung P. Practice-based training strategy for therapist-driven prostate MR-Linac adaptive radiotherapy. Tech Innov Patient Support Radiat Oncol 2023; 27:100212. [PMID: 37265510 PMCID: PMC10230256 DOI: 10.1016/j.tipsro.2023.100212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/19/2023] [Accepted: 05/09/2023] [Indexed: 06/03/2023] Open
Abstract
Purpose To develop a practice-based training strategy to transition from radiation oncologist to therapist-driven prostate MR-Linac adaptive radiotherapy. Methods and materials In phase 1, 7 therapists independently contoured the prostate and organs-at-risk on T2-weighted MR images from 11 previously treated MR-Linac prostate patients. Contours were evaluated quantitatively (i.e. Dice similarity coefficient [DSC] calculated against oncologist generated online contours) and qualitatively (i.e. oncologist using a 5-point Likert scale; a score ≥ 4 was deemed a pass, a 90% pass rate was required to proceed to the next phase). Phase 2 consisted of supervised online workflow with therapists required no intervention from the oncologist on 10 total cases to advance. Phase 3 involved unsupervised therapist-driven workflow, with offline support from oncologists prior to the next fraction. Results In phase 1, the mean DSC was 0.92 (range 0.85-0.97), and mean Likert score was 3.7 for the prostate. Five therapists did not attain a pass rate (3-5 cases with prostate contour score < 4), underwent follow-up one-on-one review, and performed contours on a further training set (n = 5). Each participant completed a median of 12 (range 10-13) cases in phase 2; of 82 cases, minor direction were required from the oncologist on 5 regarding target contouring. Radiation oncologists reviewed 179 treatment fractions in phase 3, and deemed 5 cases acceptable but with suggestions for next fraction; all other cases were accepted without suggestions. Conclusion A training stepwise program was developed and successfully implemented to enable a therapist-driven workflow for online prostate MR-Linac adaptive radiotherapy.
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Affiliation(s)
- Winnie Li
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Jerusha Padayachee
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Inmaculada Navarro
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Jeff Winter
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Jennifer Dang
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Srinivas Raman
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Vickie Kong
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Alejandro Berlin
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Charles Catton
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Rachel Glicksman
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Victor Malkov
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Andrew McPartlin
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Kaushik Kataki
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Peter Chung
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
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Mushonga M, Helou J, Weiss J, Dawson LA, Wong RKS, Hosni A, Kim J, Brierley J, Koch CA, Alrabiah K, Lindsay P, Stanescu T, Barry A. Clinical Outcomes of Patients with Metastatic Breast Cancer Treated with Hypo-Fractionated Liver Radiotherapy. Cancers (Basel) 2023; 15:2839. [PMID: 37345175 DOI: 10.3390/cancers15102839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/11/2023] [Accepted: 05/13/2023] [Indexed: 06/23/2023] Open
Abstract
PURPOSE To retrospectively review the clinical outcomes of patients with metastatic breast cancer (MBCa) following liver directed ablative intent radiotherapy (RT). METHODS Demographics, disease and treatment characteristics of patients with MBCa who received liver metastasis (LM) directed ablative RT between 2004-2020 were analysed. The primary outcome was local control (LC), secondary outcomes included overall survival (OS) and progression-free survival (PFS) analyzed by univariate (UVA) and multi-variable analysis (MVA). RESULTS Thirty MBCa patients with 50 LM treated with 5-10 fraction RT were identified. Median follow-up was 14.6 (range 0.9-156.2) months. Class of metastatic disease was described as induced (12 patients, 40%), repeat (15 patients, 50%) and de novo (three patients, 10%). Median size of treated LM was 3.1 cm (range 1-8.8 cm) and median biologically effective dose delivered was 122 (Q1-Q3; 98-174) Gy3. One-year LC rate was 100%. One year and two-year survival was 89% and 63%, respectively, with size of treated LM predictive of OS (HR 1.35, p = 0.023) on UVA. Patients with induced OMD had a significantly higher rate of progression (HR 4.77, p = 0.01) on UVA, trending to significance on MVA (HR 3.23, p = 0.051). CONCLUSIONS Hypo-fractionated ablative liver RT in patients with MBCa provides safe, tolerable treatment with excellent LC.
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Affiliation(s)
- Melinda Mushonga
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Joelle Helou
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
- Department of Oncology, Division of Radiation Oncology, Western University, London, ON N6A 5W9, Canada
| | - Jessica Weiss
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Laura A Dawson
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Rebecca K S Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Ali Hosni
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - James Brierley
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - C Anne Koch
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Khalid Alrabiah
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Teo Stanescu
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Aisling Barry
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5T 1P5, Canada
- Cancer Research @UCC, University College Cork, T12 R229 Cork, Ireland
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Lukovic J, Hosni A, Liu A, Chen J, Tadic T, Patel T, Li K, Han K, Lindsay P, Craig T, Brierley J, Barry A, Wong R, Ringash J, Dawson LA, Kim JJ. Evaluation of dosimetric predictors of toxicity after IMRT with concurrent chemotherapy for anal cancer. Radiother Oncol 2023; 178:109429. [PMID: 36455685 DOI: 10.1016/j.radonc.2022.11.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/18/2022] [Accepted: 11/21/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND This study investigates the impact of dosimetric parameters on acute and late toxicity for patients with anal squamous cell carcinoma (SCC) treated with image-guided intensity modulated radiation therapy (IG-IMRT) and concurrent chemotherapy. MATERIALS AND METHODS Patients were enrolled in an observational cohort study between 2008 and 2013 (median follow-up 3.4 years). They were treated with standardized target and organ-at-risk (OAR) contouring, planning, and IG-IMRT. Radiotherapy dose, based on clinicopathologic features, ranged from 45 Gy to 63 Gy to gross targets and 27 Gy to 36 Gy to elective targets. Chemotherapy was concurrent 5-fluorouracil and mitomycin C (weeks 1&5). Toxicity was prospectively graded using NCI CTCAE v.3 and RTOG scales. Logistic regression was used to assess the association between dose/volume parameters (e.g small bowel V5) and corresponding grade 2 + and 3+ (G2+/3 + ) toxicities (e.g. diarrhea). RESULTS In total, 87 and 79 patients were included in the acute and late toxicity analyses, respectively. The most common acute G2 + toxicities were skin (dermatitis in 87 % [inguino-genital skin], 91 % [perianal skin]) and hematologic in 58 %. G2 + late anal toxicity (sphincter dysfunction), gastrointestinal toxicity, and skin toxicity were respectively experienced by 49 %, 38 %, and 44 % of patients. Statistically significant associations were observed between: G2 + acute diarrhea and small bowel V35; G2 + acute genitourinary toxicity and bladder D0.5cc; G2 + inguino-genital skin toxicity and anterior skin V35; G2 + perianal skin toxicity and posterior skin V15; G2 + anemia and lower pelvis bone V45. D0.5 cc was significantly predictive of late toxicity (G2 + anal dysfunction, intestinal toxicity, and inguino-genital/perianal dermatitis). Maximum skin toxicity grade was significantly correlated with the requirement for a treatment break. CONCLUSION Statistically significant dose-volume parameters were identified and may be used to offer individualized risk prediction and to inform treatment planning. Additional validation of the results is required.
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Affiliation(s)
- Jelena Lukovic
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
| | - Ali Hosni
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Amy Liu
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
| | - Jasmine Chen
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Tony Tadic
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | | | - Kecheng Li
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Kathy Han
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Patricia Lindsay
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Tim Craig
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - James Brierley
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Aisling Barry
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Rebecca Wong
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jolie Ringash
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Laura A Dawson
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - John J Kim
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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Lindsay P, Anderson K, Ducharme A, Lee D, McKelvie R, Poon S, Desmarais O, Desbiens M, Virani S. THE STATE OF HEART FAILURE SERVICES IN CANADA: FINDINGS OF THE HEART & STROKE NATIONAL HEART FAILURE RESOURCES AND SERVICES INVENTORY. Can J Cardiol 2022. [DOI: 10.1016/j.cjca.2022.08.153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
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Li W, Lindsay P, Padayachee J, Dang J, Kong V, Carpino-Rocca C, Wong I, Chung P. 80: Optimizing Resources and Skills in a Multidisciplinary Workflow for Prostate MR-Linac Adaptive Radiotherapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)04359-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Wong RK, Liu ZA, Barry A, Rogalla P, Bezjak A, Brierley JD, Dawson LA, Giuliani M, Kim J, Ringash J, Sun A, Chung P, Hope A, Shessel A, Lindsay P. Patient Reported and Clinical Outcomes from 5 Fraction SBRT for Oligometastases - a Prospective Single Institution Study. Int J Radiat Oncol Biol Phys 2022; 114:1000-1010. [PMID: 35901981 DOI: 10.1016/j.ijrobp.2022.07.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/16/2022] [Accepted: 07/19/2022] [Indexed: 10/16/2022]
Abstract
PURPOSE To describe the long-term outcomes of a five-fraction normal tissue tolerance adapted strategy for the management of oligometastases (OM). METHODS & MATERIALS Patients with histologically confirmed solid tumors, ≤5 extra-cranial metastases, suitable for a definitive approach for all metastatic lesions, at least one lesion suitable for SBRT, ECOG ≤2 were eligible. Treatment intervention was a 5-fraction (25- 55Gy) normal tissue adapted dosing strategy. The primary outcome was cumulative local progression rate at 12 months. RESULTS Between Mar 2013- Jan 2018, 137 patients started SBRT. Median FU was 35.7 months. 107 (78%) patients had a solitary OM. The mean PTV D95 was 39.6 [SD 8.8]; BED10 70.8) Gy. Mean PTV D95 was highest for lung lesions [48.7 (SD4.7); BED10 96.1] Gy, but was <40Gy for all other anatomical sites. Two Grade 3 toxicities (GI bleed) were observed with stomach D0.05 30.3Gy and 30.4Gy. The cumulative local progression rate at 12/36 months was 16.1 (95% CI 10-22)% and 38.3 (95% CI 30-46.7) %; OS was 90% and 37%, and PFS was 58% and 19% respectively. Mean Symptom burden (Edmonton Symptom Assessment Total Score) worsened in patients with progressive disease (+8.8) at 12 months and was paralleled by changes in mean EORTC QLQ30 Summary Score and Global Health Quality of Life Score. Systemic therapy was initiated in 55% of patients at an average of 12.7 (SD12.4) months. CONCLUSIONS If long term PFS is the primary goal of therapy, SBRT for OM achieved this in less than 20% of patients attributable to a high risk of distant failure. Favorable local progression free survival is accompanied by preservation of QoL, avoidance of symptom progression and reduced need of antineoplastic therapies at 12 months. Information on symptom burden, QoL, as well as pattern of antineoplastic therapy use following progressive disease is useful to support conversations between patients, families and health care providers. Strategies to improve patient selection and reduce distant progression rate remain a priority for further study.
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Affiliation(s)
- Rebecca Ks Wong
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada..
| | - Zhihui Amy Liu
- Princess Margaret Cancer Center, University Health Network; Dalla Lana School of Public Health, University of Toronto. Toronto. Ontario. Canada
| | - Aisling Barry
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Patrik Rogalla
- Joint Department of Medical Imaging, University of Toronto. Toronto. Ontario. Canada
| | - Andrea Bezjak
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - James D Brierley
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Laura A Dawson
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Meredith Giuliani
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - John Kim
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Jolie Ringash
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Alexander Sun
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Peter Chung
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Andrew Hope
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
| | - Andrea Shessel
- Princess Margaret Cancer Center, University Health Network; Toronto. Ontario. Canada
| | - Patricia Lindsay
- Princess Margaret Cancer Center, University Health Network; Department of Radiation Oncology, University of Toronto. Toronto. Ontario. Canada
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9
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Ashram S, Bahig H, Barry A, Blanchette D, Celinksi A, Chung P, Darko J, Donath D, Doucet R, Erickson A, Giuliani M, Gopaul D, Hipwell S, Javor J, Kuk J, Lindsay P, Millman B, Oliver M, Pearce A, Russell C, Senthi S, Vu T, Warner A, Gaede S, Palma DA. Planning Trade-offs for Stereotactic Ablative Radiotherapy in Patients with 4-10 Metastases: A Sub-study of the SABR-COMET-10 randomized trial. Int J Radiat Oncol Biol Phys 2022; 114:1011-1015. [PMID: 35667527 DOI: 10.1016/j.ijrobp.2022.05.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/18/2022] [Accepted: 05/23/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND The use of stereotactic ablative radiotherapy (SABR) for metastases often involves trade-offs, balancing adequate target coverage with the need to maintain a safe dose to organs at risk (OARs). Very few studies have evaluated this complexity in patients with >3 oligometastases. To explore these trade-offs, we analyzed planning outcomes from the first 60 patients enrolled on a randomized trial of SABR in patients with 4-10 metastases. METHODS Radiation plans for patients enrolled on the BLINDED-FOR-REVIEW randomized trial were analyzed. Data abstracted included target locations and sizes, dose prescriptions and target coverage, and OAR doses, and these parameters were evaluated based on target location to identify locations where compromise of planning constraints was required. RESULTS SABR was planned for 332 lesions in 296 separate PTVs. The median PTV size was 9.0 cc per lesion (interquartile range [IQR]: 5.3-24.3 cc) and 89.1 cc per patient (IQR: 37.0-177.0). The most common prescriptions were 30-35 Gy in 5 fractions (43% of lesions) and 20-24 Gy in 1 fraction (33% of lesions). The maximum dose within the PTV was a median of 124% of prescription (IQR: 117-130%). Only 3.3% of lesions had a dose to 95% of the PTV (D95) <95% of prescription; this was more common for spinal (25%) and lymph node (8.4%) targets (p<0.001), translating to median D95 values of 100.5% (IQR: 99.6%-101.5%) and 100.0% (IQR: 84.6%-100.5%), respectively. All OARs constraints were met in 95.2% of patients, with the only exceptions being lymph node targets (n=3). CONCLUSIONS SABR planning for patients with 4-10 metastases was achievable without dosimetric compromise in the large majority of patients. Nodal and spinal targets were most likely to lead to compromise of target coverage or OAR constraints. Further research is needed to determine how to best balance these trade-offs.
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Affiliation(s)
- Samaher Ashram
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Houda Bahig
- Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Aisling Barry
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, Toronto, Ontario, Canada
| | | | - Anders Celinksi
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Peter Chung
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, Toronto, Ontario, Canada
| | - Johnson Darko
- Grand River Cancer Centre, Kitchener, Ontario, Canada
| | - David Donath
- Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Robert Doucet
- Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Abigail Erickson
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Meredith Giuliani
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, Toronto, Ontario, Canada
| | - Darin Gopaul
- Grand River Cancer Centre, Kitchener, Ontario, Canada
| | - Scott Hipwell
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Joanna Javor
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, Toronto, Ontario, Canada
| | - Joda Kuk
- Grand River Cancer Centre, Kitchener, Ontario, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, Toronto, Ontario, Canada
| | - Barbara Millman
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada
| | | | | | | | | | - Toni Vu
- Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Andrew Warner
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Stewart Gaede
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - David A Palma
- Department of Oncology, London Health Sciences Centre, London, Ontario, Canada.
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10
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Glicksman RM, Bhaskaran A, Nanthakumar K, Lindsay P, Coolens C, Conroy L, Letourneau D, Lok BH, Giuliani M, Hope A. Implementation of Cardiac Stereotactic Radiotherapy: From Literature to the Linac. Cureus 2021; 13:e13606. [PMID: 33816005 PMCID: PMC8011471 DOI: 10.7759/cureus.13606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Stereotactic radiotherapy (SBRT) has been applied to treat cardiac arrhythmias, but our institution had not yet implemented this technique. Here, we explain how we used implementation science and knowledge translation to provide cardiac SBRT to a critically ill patient with malignancy-associated refractory ventricular tachycardia. We reviewed the critical factors that enabled the implementation of this urgent treatment, such as the context of the implementation, the characteristics of the intervention, and the stakeholders. These principles can be used by other radiation programs to implement novel treatments in urgent settings, where the gold standard process of planning and developing policies and protocols is not possible.
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Affiliation(s)
- Rachel M Glicksman
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
| | - Abhishek Bhaskaran
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, CAN
| | - Kumaraswamy Nanthakumar
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, CAN
| | - Patricia Lindsay
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
| | - Catherine Coolens
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
| | - Leigh Conroy
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
| | - Daniel Letourneau
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
| | - Benjamin H Lok
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
| | - Meredith Giuliani
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
| | - Andrew Hope
- Radiation Medicine Program/Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, CAN
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11
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Taylor E, Lukovic J, Velec M, Shessel A, Stanescu T, Dawson L, Létourneau D, Lindsay P. Simulated daily plan adaptation for magnetic resonance-guided liver stereotactic body radiotherapy. Acta Oncol 2021; 60:260-266. [PMID: 33170058 DOI: 10.1080/0284186x.2020.1840625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Liver cancers are challenging to treat using image-guided radiotherapy (IGRT) due to motion and deformation of target volumes and organs at risk (OARs), as well as difficulties in visualising liver tumours using cone-beam computed tomography (CBCT) based IGRT. Liver cancer patients may thus benefit from magnetic resonance (MR)-guided daily adaptive re-planning. We evaluated the dosimetric impact of a daily plan adaptation strategy based on daily MR imaging versus CBCT-based IGRT. METHODS Ten patients were studied who were treated with CBCT-guided five-fraction stereotactic body radiotherapy (SBRT) and underwent MR imaging before each fraction. Simulated reference plans were created on computer tomography (CT) images and adapted plans were created on the daily MR images. Two plan adaptation strategies were retrospectively simulated: (1) translational couch shifts to match liver, mimicking standard CBCT guidance and (2) daily plan adaptation based on reference plan clinical goals and daily target and OAR contours. Dose statistics were calculated for both strategies and compared. RESULTS Couch shifts resulted in an average reduction in GTV D99% relative to reference plan values of 5.2 Gy (-12.5% of reference values). Daily plan adaptation reduced this to 0.8 Gy (-2.0%). For six patients who were OAR dose-limited on reference plans, couch shifts resulted in OAR dose violations in 28 out of 28 simulated fractions, respectively; no violations occurred using daily plan adaptation. No OAR dose violations occurred using either strategy for the four cases not OAR dose-limited at reference planning. CONCLUSIONS MR-guided daily plan adaptation ensured OAR dose constraints were met at all simulated treatment fractions while CBCT-based IGRT resulted in a systematic over-dosing of OARs in patients whose doses were limited by OAR dose at the time of reference planning.
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Affiliation(s)
- Edward Taylor
- Princess Margaret Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Jelena Lukovic
- Princess Margaret Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Michael Velec
- Princess Margaret Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | | | - Teodor Stanescu
- Princess Margaret Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Laura Dawson
- Princess Margaret Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Daniel Létourneau
- Princess Margaret Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Patricia Lindsay
- Princess Margaret Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
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12
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Velec M, Munoz-Schuffenegger P, Simeonov A, Shessel A, Stanescu T, Lindsay P, Hosni A, Wong R, Dawson L. 158: Patient-Reported Experiences with Serial Magnetic Resonance Imaging and Implications for Adaptive Radiotherapy. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(20)31050-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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13
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Koch CA, Corey G, Han K, Lee G, Purdie T, McIntosh C, Lindsay P, Liu FF, Fyles A, Levin W, Croke J, Barry A, Rodin D, Nguyen NT, Conrad T. Abstract P4-12-24: Evaluation of partial breast irradiation suitability in early stage breast cancer patients. Cancer Res 2020. [DOI: 10.1158/1538-7445.sabcs19-p4-12-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: Partial Breast Irradiation (PBI) treats the tumor bed plus a margin in low risk early stage breast cancers, reducing exposure to organs at risk. Randomized trials have shown that PBI with external beam radiotherapy is non-inferior to whole breast irradiation in terms of local control with fewer late normal tissue adverse events. We aimed to determine the proportion of women with early stage breast cancer suitable for external beam PBI at our institution using adapted ASTRO guidelines for accelerated PBI whereby both clinical-pathological factors and visualization of the tumor bed/cavity on planning scans were determined to quantify PBI eligibility.
Methods: Patients were identified retrospectively from January 1, 2013 to November 1, 2018 based on age (≥55), tumor size (≤2cm invasive, ≤2.5cm DCIS), nodal negativity and grade (1 or 2). Cases identified were unifocal, lymphovascular invasion negative, ER positive, HER2 negative, with margins ≥2mm (invasive) and ≥3mm (DCIS), no chemotherapy, non-lobular, no extensive intraductal component, no previous/ bilateral cancers and endocrine therapy optional. Planning scans were reviewed to assess for presence of surgical clips and assigned cavity visualization scores (CVS); CVS 1=cavity not visualized, CVS 2=cavity visualized with indistinct margins, CVS 3=cavity visualised with some distinct margins and heterogeneous appearance, CVS 4= cavity visualised with mostly distinct margins and mildly heterogeneous appearance, CVS 5= all cavity margins clearly defined and homogeneous appearance. These features were used to determine if cases were considered radiologically suitable for PBI.
Results: Thirty-seven percent (1051/2824) of cases identified were deemed eligible based on age, grade and T1N0/Tis. Of the 1051, 306 (29%) met all the pathologic criteria; the main reasons for exclusion were previous breast cancer, lobular histology, or multifocality. Median age of eligible cases was 65 years (range 55-88 years). The majority (254) had invasive disease (T1mi: 6, T1a: 17, T1b: 98, T1c: 133); 52 had DCIS. There were 169 right-sided and 137 left-sided cases. Endocrine therapy was documented in 55% of cases.
CVS (1-5) were: 11%, 22%, 30%, 29%, 8%. Overall, 66% (201/306) of cases were considered radiologically suitable for PBI (of the 201 cases, 97% had CVS ≥3). Seventy-two cases (72/306; 24%) had tumor bed clips, of which, 34 were considered suitable for PBI (91% CVS ≥3; 9% CVS 2).
Conclusions: Overall, a low proportion of all patients were eligible for PBI based on clinical features, but two-thirds of eligible cases were suitable for PBI based on CVS score alone. In contrast, the suitability for PBI within the cohort with surgical clip placement was low. Visualization of the tumor bed is essential to safely deliver PBI and is guided by identification of the cavity seroma and/or surgical clips. Development of standard practice guidelines for surgical clip positioning to identify the tumor bed will potentially assist in increasing the proportion of early stage breast cancer patients suitable to receive PBI, even if the CVS is less favorable.
Citation Format: Christine Anne Koch, Gemma Corey, Kathy Han, Grace Lee, Tom Purdie, Chris McIntosh, Patricia Lindsay, Fei-Fei Liu, Anthony Fyles, Wilf Levin, Jennifer Croke, Aisling Barry, Danielle Rodin, Nhu Tram Nguyen, Tatiana Conrad. Evaluation of partial breast irradiation suitability in early stage breast cancer patients [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P4-12-24.
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Affiliation(s)
| | | | - Kathy Han
- 1Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Grace Lee
- 1Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Tom Purdie
- 1Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | - Fei-Fei Liu
- 1Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Anthony Fyles
- 1Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Wilf Levin
- 1Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Aisling Barry
- 1Princess Margaret Cancer Centre, Toronto, ON, Canada
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14
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Taylor E, Zhou J, Lindsay P, Foltz W, Cheung M, Siddiqui I, Hosni A, Amir AE, Kim J, Hill RP, Jaffray DA, Hedley DW. Quantifying Reoxygenation in Pancreatic Cancer During Stereotactic Body Radiotherapy. Sci Rep 2020; 10:1638. [PMID: 32005829 PMCID: PMC6994660 DOI: 10.1038/s41598-019-57364-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 12/18/2019] [Indexed: 02/05/2023] Open
Abstract
Hypoxia, the state of low oxygenation that often arises in solid tumours due to their high metabolism and irregular vasculature, is a major contributor to the resistance of tumours to radiation therapy (RT) and other treatments. Conventional RT extends treatment over several weeks or more, and nominally allows time for oxygen levels to increase ("reoxygenation") as cancer cells are killed by RT, mitigating the impact of hypoxia. Recent advances in RT have led to an increase in the use stereotactic body radiotherapy (SBRT), which delivers high doses in five or fewer fractions. For cancers such as pancreatic adenocarcinoma for which hypoxia varies significantly between patients, SBRT might not be optimal, depending on the extent to which reoxygenation occurs during its short duration. We used fluoro-5-deoxy-α-D-arabinofuranosyl)-2-nitroimidazole positron-emission tomography (FAZA-PET) imaging to quantify hypoxia before and after 5-fraction SBRT delivered to patient-derived pancreatic cancer xenografts orthotopically implanted in mice. An imaging technique using only the pre-treatment FAZA-PET scan and repeat dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) scans throughout treatment was able to predict the change in hypoxia. Our results support the further testing of this technique for imaging of reoxygenation in the clinic.
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Affiliation(s)
- Edward Taylor
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Jitao Zhou
- Department of Abdominal Oncology, Cancer Center and Laboratory of Signal Transduction and Molecular Targeting Therapy, West China Hospital, Sichuan University, Chengdu, China
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Warren Foltz
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - May Cheung
- Ontario Cancer Institute, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Iram Siddiqui
- Department of Pathology, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario, M5G 1X8, Canada
| | - Ali Hosni
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Ahmed El Amir
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - Richard P Hill
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
- Ontario Cancer Institute, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - David A Jaffray
- Radiation Medicine Program, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada
| | - David W Hedley
- Ontario Cancer Institute, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.
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15
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Lukovic J, Henke L, Gani C, Kim TK, Stanescu T, Hosni A, Lindsay P, Erickson B, Khor R, Eccles C, Boon C, Donker M, Jagavkar R, Nowee ME, Hall WA, Parikh P, Dawson LA. MRI-Based Upper Abdominal Organs-at-Risk Atlas for Radiation Oncology. Int J Radiat Oncol Biol Phys 2020; 106:743-753. [PMID: 31953061 DOI: 10.1016/j.ijrobp.2019.12.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 12/02/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE The purpose of our study was to provide a guide for identification and contouring of upper abdominal organs-at-risk (OARs) in the setting of online magnetic resonance imaging (MRI)-guided radiation treatment planning and delivery. METHODS AND MATERIALS After a needs assessment survey, it was determined that an upper abdominal MRI-based atlas of normal OARs would be of benefit to radiation oncologists and radiation therapists. An anonymized diagnostic 1.5T MRI from a patient with typical upper abdominal anatomy was used for atlas development. Two MRI sequences were selected for contouring, a T1-weighted gadoxetic acid contrast-enhanced MRI acquired in the hepatobiliary phase and axial fast imaging with balanced steady-state precession. Two additional clinical MRI sequences from commercial online MRI-guided radiation therapy systems were selected for contouring and were included in the final atlas. Contours from each data set were completed and reviewed by radiation oncologists, along with a radiologist who specializes in upper abdominal imaging, to generate a consensus upper abdominal MRI-based OAR atlas. RESULTS A normal OAR atlas was developed, including recommendations for contouring. The atlas and contouring guidance are described, and high-resolution MRI images and contours are displayed. OARs, such as the bile duct and biliary tree, which may be better seen on MRI than on computed tomography, are highlighted. The full DICOM/DICOM-RT MRI images from both the diagnostic and clinical online MRI-guided radiation therapy systems data sets have been made freely available, for educational purposes, at econtour.org. CONCLUSIONS This MRI contouring atlas for upper abdominal OARs should provide a useful reference for contouring and education. Its routine use may help to improve uniformity in contouring in radiation oncology planning and OAR dose calculation. Full DICOM/DICOM-RT images are available online and provide a valuable educational resource for upper abdominal MRI-based radiation therapy planning and delivery.
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Affiliation(s)
- Jelena Lukovic
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lauren Henke
- Department of Radiation Oncology, Washington University School of Medicine in St. Louis, St Louis, Missouri
| | - Cihan Gani
- Department of Radiation Oncology, University Hospital and Medical Faculty Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Tae K Kim
- Joint Department of Medical Imaging, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Teodor Stanescu
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Medical Physics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Ali Hosni
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Patricia Lindsay
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Medical Physics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Beth Erickson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Richard Khor
- Department of Radiation Oncology, Austin Health, Melbourne, Australia
| | - Cynthia Eccles
- Department of Radiotherapy, The Christie NHS Foundation Trust, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Cheng Boon
- Department of Clinical Oncology, Rutherford Cancer Centre North West, Liverpool, United Kingdom
| | - Mila Donker
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Raj Jagavkar
- Department of Radiation Oncology, St. Vincent's Hospital Sydney, Sydney, Australia
| | - Marlies E Nowee
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - William A Hall
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Parag Parikh
- Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan
| | - Laura A Dawson
- Department of Radiation Oncology, University of Toronto, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
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Bhaskaran A, Downar E, Chauhan VS, Lindsay P, Nair K, Ha A, Hope A, Nanthakumar K. Electroanatomical mapping-guided stereotactic radiotherapy for right ventricular tachycardia storm. HeartRhythm Case Rep 2019; 5:590-592. [PMID: 31890583 PMCID: PMC6926178 DOI: 10.1016/j.hrcr.2019.09.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
- Abhishek Bhaskaran
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada
| | - Eugene Downar
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada
| | - Vijay S Chauhan
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Krishnakumar Nair
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada
| | - Andrew Ha
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada
| | - Andrew Hope
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Kumaraswamy Nanthakumar
- The Hull Family Cardiac Fibrillation Management Laboratory, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada
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Murray LJ, Sykes J, Brierley J, Kim JJ, Wong RKS, Ringash J, Craig T, Velec M, Lindsay P, Knox JJ, Dawson LA. Baseline Albumin-Bilirubin (ALBI) Score in Western Patients With Hepatocellular Carcinoma Treated With Stereotactic Body Radiation Therapy (SBRT). Int J Radiat Oncol Biol Phys 2018; 101:900-909. [PMID: 29976502 DOI: 10.1016/j.ijrobp.2018.04.011] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 03/18/2018] [Accepted: 04/04/2018] [Indexed: 01/27/2023]
Abstract
PURPOSE To assess the baseline albumin-bilirubin (ALBI) score as a predictor of toxicity and survival in a prospective cohort of Western patients with hepatocellular carcinoma (HCC) treated with stereotactic body radiation therapy (SBRT) in 2 prospective trials. METHODS AND MATERIALS The study included 102 patients with Child-Pugh class A liver disease who received 6-fraction SBRT for HCC. Univariate and multivariable logistic regression investigated factors associated with toxicity, defined as an increase in Child-Pugh score ≥ 2 within 3 months of SBRT. Univariate and multivariable Cox regression analyses investigated factors predictive of overall survival (OS). The ALBI score was analyzed as a continuous and binary variable in separate analyses. RESULTS On multivariable analysis of toxicity, including the ALBI score as a continuous variable, the ALBI score (odds ratio [OR] per 0.1-unit increase, 1.51; 95% confidence interval [CI] 1.23-1.85; P = .00074), mean liver dose (OR, 1.31; 95% CI 1.02-1.68; P = .036), and dose received by 800 cm3 of normal liver (OR, 1.10; 95% CI 1.01-1.20; P = .028) were significant. When the ALBI score was included as a dichotomous variable, the ALBI grade remained a significant predictor of toxicity (OR, 7.44; 95% CI 2.34-23.70; P = .00069). On multivariable analysis of OS, including the ALBI score as a continuous variable, the ALBI score (hazard ratio [HR] per 0.1-unit increase, 1.09; 95% CI 1.03-1.17; P = .004), tumor thrombus (HR, 1.94; 95% CI 1.23-3.07; P = .004), and treatment in trial 1 versus trial 2 (HR, 1.92; 95% CI 1.23-3.03; P = .004) were significant. Similarly, when the ALBI score was included as a binary variable, the ALBI grade, tumor thrombus, and trial were significant predictors of OS. When the ALBI score was considered, the Child-Pugh score (A6 vs A5) was not significant in multivariable models analyzing toxicity or survival. Concordance statistics indicated models containing the ALBI score were superior to those containing the Child-Pugh score. CONCLUSIONS The baseline ALBI score was more discriminating than the Child-Pugh score in predicting OS and toxicity in patients with Child-Pugh class A liver disease. The ALBI score should be used as a factor for stratification in future HCC SBRT trials.
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Affiliation(s)
- Louise J Murray
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jenna Sykes
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - James Brierley
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - John J Kim
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Rebecca K S Wong
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jolie Ringash
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Tim Craig
- Department of Medical Physics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Michael Velec
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Patricia Lindsay
- Department of Medical Physics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jennifer J Knox
- Department of Medical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Laura A Dawson
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
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Yau V, Lindsay P, Le L, Lau A, Wong O, Glick D, Bezjak A, Cho BJ, Hope A, Sun A, Giuliani M. Low Incidence of Esophageal Toxicity After Lung Stereotactic Body Radiation Therapy: Are Current Esophageal Dose Constraints Too Conservative? Int J Radiat Oncol Biol Phys 2018; 101:574-580. [DOI: 10.1016/j.ijrobp.2018.02.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 02/08/2018] [Accepted: 02/14/2018] [Indexed: 01/15/2023]
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Hosni A, Han K, Le LW, Ringash J, Brierley J, Wong R, Dinniwell R, Brade A, Dawson LA, Cummings BJ, Krzyzanowska MK, Chen EX, Hedley D, Knox J, Easson AM, Lindsay P, Craig T, Kim J. The ongoing challenge of large anal cancers: prospective long term outcomes of intensity-modulated radiation therapy with concurrent chemotherapy. Oncotarget 2018; 9:20439-20450. [PMID: 29755663 PMCID: PMC5945520 DOI: 10.18632/oncotarget.24926] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 02/27/2018] [Indexed: 01/22/2023] Open
Abstract
Purpose Patterns of failure and long term outcomes were prospectively evaluated following tumor factors-stratified radiation dose for anal/perianal cancer. Methods Between 2008-2013, patients with anal/perianal squamous cell carcinoma were accrued to an institutional REB-approved prospective study. All patients were treated with image-guided intensity-modulated radiation therapy (IG-IMRT). Radiation dose selection (27-36 Gy for elective target, and 45-63 Gy for gross target) was based on tumor clinico-pathologic features. Chemotherapy regimen was 5-fluorouracil/mitomycin-C (weeks 1&5). Local [LF], regional failure [RF], distant metastasis [DM], overall- [OS], disease-free [DFS], colostomy-free survival [CFS] and late toxicity were analyzed. Results Overall, 101 patients were evaluated; median follow-up: 56.5 months; 49.5% male; 34.7% T3/4-category, and 35.6% N+. Median radiation dose was 63 Gy. The most common acute grade ≥3 toxicities were skin (41.6%) and hematological (30.7%). Five-year OS, DFS, CFS, LF, RF, DM rates were 83.4%, 75.7%, 74.7, 13.9%, 4.6% and 5% respectively. Five-year LF for patients with T1-2 and T3-4 disease were 0% and 39.2% respectively. All LF (n = 14, after 63 Gy, in tumors ≥5 cm) were in the high dose volume except one marginal to the high dose volume. All RF (n = 4) were within elective dose volume except one within the high dose volume. On multivariable analysis, T3/4-category predicted for poor DFS, CFS and OS. The overall late grade ≥3 toxicity was 36.2% (mainly anal [20%]). Conclusions Individualized radiation dose selection using IG-IMRT resulted in good long term outcomes. However, central failures remain a problem for locally advanced tumors even with high dose radiation (63 Gy/7weeks).
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Affiliation(s)
- Ali Hosni
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Kathy Han
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Lisa W Le
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jolie Ringash
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - James Brierley
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Rebecca Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Robert Dinniwell
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Anthony Brade
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Laura A Dawson
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Bernard J Cummings
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Monika K Krzyzanowska
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Eric X Chen
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - David Hedley
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Jennifer Knox
- Department of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Alexandra M Easson
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Tim Craig
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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Ponichtera J, Munoz Schuffenegger P, Lindsay P, Panzarella T, Dawson L, Bezjak A, Brade A, Chung P, Kim J, Hope A, Sun A, Gluliani M, Brierley J, Koch C, Cummings B, Kassam Z, Taremi M, Ringash J, Wong R. PV-0473: Dosimetry, safety, efficacy and QoL in a study of 5-fraction SBRT for oligometastatic (OM) cancers. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)30783-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Wong OY, Yau V, Kang J, Glick D, Lindsay P, Le LW, Sun A, Bezjak A, Cho BCJ, Hope A, Giuliani M. Survival Impact of Cardiac Dose Following Lung Stereotactic Body Radiotherapy. Clin Lung Cancer 2017; 19:e241-e246. [PMID: 28941961 DOI: 10.1016/j.cllc.2017.08.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 08/09/2017] [Accepted: 08/18/2017] [Indexed: 12/25/2022]
Abstract
INTRODUCTION The purpose of this study was to determine the impact of radiation dose to substructures of the heart in lung stereotactic body radiotherapy (SBRT) patients on non-cancer-related deaths. METHODS Patients treated with lung SBRT at a single institution from 2005 to 2013 were included. The heart and its substructures were contoured, and dose was calculated including mean, max, and max 10 cc dose. Clinical variables including stage, histology, age, gender, Charlson comorbidity index (CCI), preexisting cardiac disease, pulmonary function (forced expiratory volume in 1 second, diffusion capacity), and smoking status were explored for association with non-cancer-related deaths in univariable (UVA) and multivariable (MVA) analyses. Heart dosimetric parameters were correlated with the risk of radiation pneumonitis (RP) using UVA and MVA. RESULTS A total of 189 patients were included with median age of 76 years (range, 48-93 years). Of these patients, 45.5% were female, 27.5% were T2, 16.9% were current smokers, 64% had preexisting cardiac risk factors, and 34.5% had CCI score of ≥ 3. Mean lung dose ± SD was 456 ± 231 cGy. Heart max, mean, and 10 cc doses were 1867 ± 1712 cGy, 265 ± 269 cGy, and 1150 ± 1075 cGy, respectively. There were 14 (7.4%) ≥ Grade 2 RP and 3 (1.6%) were ≥ Grade 3. The median overall survival was 37.3 months (95% confidence interval, 29.8-45.3 months). On UVA, female gender (P < .01), higher Eastern Cooperative Oncology Group (P = .01), cardiac risk (P < .01), CCI (P < .01), and bilateral ventricles max dose (P = .02) were associated with non-cancer-related deaths; on MVA, bilateral ventricles max dose was significant (P = .05). No heart parameters were associated with RP. CONCLUSIONS Higher bilateral ventricles max dose is associated with poorer survival. Heart dose parameters should be considered when planning patients for SBRT.
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Affiliation(s)
- Olive Y Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Vivian Yau
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Julie Kang
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Daniel Glick
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Lisa W Le
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Alexander Sun
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Andrea Bezjak
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - B C John Cho
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Andrew Hope
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Meredith Giuliani
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
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Ujaimi R, Milosevic M, Fyles A, Beiki-Ardakani A, Carlone M, Jiang H, Lindsay P, Xie J, Gerber R, Croke J, Skliarenko J, Levin W, Han K. Intermediate dose-volume parameters and the development of late rectal toxicity after MRI-guided brachytherapy for locally advanced cervix cancer. Brachytherapy 2017; 16:968-975.e2. [PMID: 28757404 DOI: 10.1016/j.brachy.2017.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 05/25/2017] [Accepted: 06/13/2017] [Indexed: 11/28/2022]
Abstract
PURPOSE The dose delivered to the most exposed 2 cm3 [Formula: see text] of the rectum and bladder is predictive of late rectal and bladder toxicity in cervix cancer patients. We investigated the predictive value of intermediate doses to the rectum and bladder for late rectal/bladder toxicity after MRI-guided brachytherapy for patients with locally advanced cervix cancer. METHODS AND MATERIALS Toxicity was prospectively graded using Common Toxicity Criteria for Adverse Events v4.0 and retrospectively verified for women with Stage IB-IVA cervix cancer treated consecutively with MRI-guided brachytherapy between 2008 and 2013. The minimum equivalent dose in 2 Gy fractions delivered to 0.1, 1, 2, 5, and 10 cm3 of the rectum and bladder and the absolute volume of the rectum receiving 55, 60, 65, 70, and 75 Gy3 (V55-75) were collected. The association between dose-volume parameters and Grade 2+ rectal/bladder toxicity was examined using logistic regression. RESULTS With a median followup of 44 months, cumulative incidences of Grade 2+ rectal and bladder toxicity among the 106 patients were 29% and 15% at 3 years, respectively. All the dose-volume parameters were significantly associated with late Grade 2+ rectal and bladder toxicity (p < 0.05), except for bladder [Formula: see text] . On multivariable logistic regression, both [Formula: see text] > 70 Gy3 and V55 > 11 cm3 (p < 0.05) were predictive of late Grade 2+ rectal toxicity, with improved model fitting and higher area under the curve compared with the model with [Formula: see text] > 70 Gy3 alone. CONCLUSIONS In this study, V55 was predictive of late Grade 2+ rectal toxicity. Adding V55 to [Formula: see text] improved prediction accuracy.
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Affiliation(s)
- Reem Ujaimi
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Michael Milosevic
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Fyles
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Akbar Beiki-Ardakani
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Marco Carlone
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Haiyan Jiang
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Jason Xie
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Rachel Gerber
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jennifer Croke
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Julia Skliarenko
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Wilfred Levin
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Kathy Han
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
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Glick D, Lyen S, Kandel S, Shapera S, Le LW, Lindsay P, Wong O, Bezjak A, Brade A, Cho BCJ, Hope A, Sun A, Giuliani M. Impact of Pretreatment Interstitial Lung Disease on Radiation Pneumonitis and Survival in Patients Treated With Lung Stereotactic Body Radiation Therapy (SBRT). Clin Lung Cancer 2017; 19:e219-e226. [PMID: 29066051 DOI: 10.1016/j.cllc.2017.06.021] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 06/29/2017] [Accepted: 06/30/2017] [Indexed: 12/25/2022]
Abstract
INTRODUCTION The purpose of this study was to determine the impact of interstitial lung disease (ILD) on radiation pneumonitis (RP) and overall survival (OS) in lung stereotactic body radiation therapy (SBRT). METHODS Patients treated with lung SBRT from 2004 to 2015 were included. Pretreatment computed tomography scans were reviewed and classified for interstitial changes by thoracic radiologists using American Thoracic Society guidelines and Washko and Kazerooni scores. RP was scored prospectively using Common Terminology Criteria for Adverse Events, version 3.0. Pretreatment imaging characteristics, clinical variables, and dosimetry were assessed by univariate (UVA) and multivariate analysis (MVA). OS was assessed by the log-rank test, and the impact of ILD on OS was assessed by Cox regression. RESULTS Of the 537 patients assessed, 39 had interstitial changes (13 usual interstitial pneumonia [UIP], 24 possible UIP, and 2 inconsistent with UIP). RP was significantly higher in patients with ILD than in patients without ILD (grade ≥ 2, 20.5% vs. 5.8%; P < .01; grade ≥ 3, 10.3% vs. 1.0%; P < .01). Two of 3 grade 5 RP had imaging features of ILD. On UVA, ILD, Washko score, lung parameters performance status, and dose were significant predictors of grade ≥ 2 RP. On MVA, ILD (odds ratio, 5.81; 95% confidence interval, 2.28-14.83; P < .01) and mean lung dose (odds ratio, 1.40; 95% confidence interval, 1.14-1.71; P < .01) were predictors of RP. ILD did not significantly affect OS on UVA or MVA. Median survival was 27.4 months in the ILD cohort and 34.8 in the ILD-negative cohort (P = .17). DISCUSSION ILD is a significant risk factor for RP in patients treated with lung SBRT. Computed tomography scans should be reviewed for evidence of ILD prior to SBRT.
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Affiliation(s)
- Daniel Glick
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Stephen Lyen
- Joint Department of Medical Imaging, Toronto General Hospital, Toronto, ON, Canada
| | - Sonja Kandel
- Joint Department of Medical Imaging, Toronto General Hospital, Toronto, ON, Canada
| | - Shane Shapera
- Division of Respirology, Toronto General Hospital, Toronto, ON, Canada
| | - Lisa W Le
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Patricia Lindsay
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Olive Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Andrea Bezjak
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Anthony Brade
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - B C John Cho
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Andrew Hope
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Alexander Sun
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Meredith Giuliani
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada.
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Johnstone CD, Lindsay P, Graves EE, Wong E, Perez JR, Poirier Y, Ben-Bouchta Y, Kanesalingam T, Chen H, Rubinstein AE, Sheng K, Bazalova-Carter M. Multi-institutional MicroCT image comparison of image-guided small animal irradiators. Phys Med Biol 2017; 62:5760-5776. [PMID: 28574405 DOI: 10.1088/1361-6560/aa76b4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
To recommend imaging protocols and establish tolerance levels for microCT image quality assurance (QA) performed on conformal image-guided small animal irradiators. A fully automated QA software SAPA (small animal phantom analyzer) for image analysis of the commercial Shelley micro-CT MCTP 610 phantom was developed, in which quantitative analyses of CT number linearity, signal-to-noise ratio (SNR), uniformity and noise, geometric accuracy, spatial resolution by means of modulation transfer function (MTF), and CT contrast were performed. Phantom microCT scans from eleven institutions acquired with four image-guided small animal irradiator units (including the commercial PXi X-RAD SmART and Xstrahl SARRP systems) with varying parameters used for routine small animal imaging were analyzed. Multi-institutional data sets were compared using SAPA, based on which tolerance levels for each QA test were established and imaging protocols for QA were recommended. By analyzing microCT data from 11 institutions, we established image QA tolerance levels for all image quality tests. CT number linearity set to R 2 > 0.990 was acceptable in microCT data acquired at all but three institutions. Acceptable SNR > 36 and noise levels <55 HU were obtained at five of the eleven institutions, where failing scans were acquired with current-exposure time of less than 120 mAs. Acceptable spatial resolution (>1.5 lp mm-1 for MTF = 0.2) was obtained at all but four institutions due to their large image voxel size used (>0.275 mm). Ten of the eleven institutions passed the set QA tolerance for geometric accuracy (<1.5%) and nine of the eleven institutions passed the QA tolerance for contrast (>2000 HU for 30 mgI ml-1). We recommend performing imaging QA with 70 kVp, 1.5 mA, 120 s imaging time, 0.20 mm voxel size, and a frame rate of 5 fps for the PXi X-RAD SmART. For the Xstrahl SARRP, we recommend using 60 kVp, 1.0 mA, 240 s imaging time, 0.20 mm voxel size, and 6 fps. These imaging protocols should result in high quality images that pass the set tolerance levels on all systems. Average SAPA computation time for complete QA analysis for a 0.20 mm voxel, 400 slice Shelley phantom microCT data set was less than 20 s. We present image quality assurance recommendations for image-guided small animal radiotherapy systems that can aid researchers in maintaining high image quality, allowing for spatially precise conformal dose delivery to small animals.
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Affiliation(s)
- Chris D Johnstone
- Department of Physics and Astronomy, University of Victoria, Victoria, BC, Canada
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Van Soest J, Purdie T, Giuliani M, Lindsay P, Hope A, Jaffray D, Dekker A. PV-0239: Validation of lung cancer survival models in a clinical routine SBRT population. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)30682-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Barry A, McPartlin A, Lindsay P, Wang L, Brierley J, Kim J, Ringash J, Wong R, Dinniwell R, Craig T, Dawson LA. Dosimetric analysis of liver toxicity after liver metastasis stereotactic body radiation therapy. Pract Radiat Oncol 2017; 7:e331-e337. [PMID: 28442242 DOI: 10.1016/j.prro.2017.03.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 02/15/2017] [Accepted: 03/03/2017] [Indexed: 12/28/2022]
Abstract
PURPOSE The aim of this study is to describe the incidence and type of liver toxicity seen following liver metastases stereotactic body radiation therapy (SBRT) and the corresponding clinical and dosimetric factors associated with toxicity. METHODS AND MATERIALS Between 2002 and 2009, 81 evaluable patients with liver metastases were treated on 2 prospective studies assessing SBRT, with prescription doses based on the effective liver volume irradiated evaluated. Toxicity was defined as grade ≥2 classic or nonclassic radiation induced liver disease (RILD). Specific toxicity endpoints evaluated were worsening transaminases and albumin levels within 3 months of SBRT. RESULTS Seventy percent of patients had colorectal carcinoma, 55% had extrahepatic disease, 1 patient had hepatitis B, and 54% had received prior chemotherapy. Baseline transaminases were elevated at Common Terminology Criteria for Adverse Effects, V4.0, grade 1, 2, and 3 levels in 33 (41%), 2 (2%), and 0 (0%) patients. The mean prescription dose was 43 Gy (27.7-60 Gy) in 6 fractions. The mean liver (minus gross tumor volume) dose (MLD) was 16 Gy (3-25.6 Gy) in 6 fractions. No classic or nonclassical ≥grade 2 RILD was observed. Within 3 months of SBRT, 49 (61%) patients had worsening of grade of transaminase and 23 (28%) patients had a reduction in albumin, all transient (majority grade ≤2 toxicity) without subsequent clinical toxicity. Seventeen patients exceeded Quantitative Analysis of Normal Tissue Effects in the Clinic MLD guidelines (≤20 Gy), 13 (76%) of whom had worsening of transaminase grade. On multivariate analysis, worsening of liver enzymes was more likely in patients with higher doses to the spared 700 mL of liver (P = .026), and reduction of albumin was more likely with higher effective liver volume (odds ratio, 1.53 [range, 1.08-2.16]) P = .016). CONCLUSIONS Liver metastases SBRT is safe with a low risk of transient biochemical liver toxicity, more likely in patients with a higher effective liver volume and higher doses to the spared uninvolved liver volume.
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Affiliation(s)
- Aisling Barry
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Andrew McPartlin
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Patricia Lindsay
- Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Canada
| | - Lisa Wang
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Canada
| | - James Brierley
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Jolie Ringash
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Rebecca Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Rob Dinniwell
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Tim Craig
- Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Canada
| | - Laura A Dawson
- Radiation Medicine Program, Princess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, Canada.
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Velec M, Haddad CR, Craig T, Wang L, Lindsay P, Brierley J, Brade A, Ringash J, Wong R, Kim J, Dawson LA. Predictors of Liver Toxicity Following Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma. Int J Radiat Oncol Biol Phys 2017; 97:939-946. [PMID: 28333016 DOI: 10.1016/j.ijrobp.2017.01.221] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 12/04/2016] [Accepted: 01/20/2017] [Indexed: 12/14/2022]
Abstract
PURPOSE To identify risk factors associated with a decline in liver function after stereotactic body radiation therapy (SBRT) for hepatocellular carcinoma. METHODS AND MATERIALS Data were analyzed from patients with hepatocellular carcinoma treated on clinical trials of 6-fraction SBRT. Liver toxicity was defined as an increase in Child-Pugh (CP) score ≥2 three months after SBRT. Clinical factors, SBRT details, and liver dose-volume histogram (DVH) parameters were tested for association with toxicity using logistic regression. CP class B patients were analyzed separately. RESULTS Among CP class A patients, 101 were evaluable, with a baseline score of A5 (72%) or A6 (28%). Fifty-three percent had portal vein thrombus. The median liver volume was 1286 cc (range, 766-3967 cc), and the median prescribed dose was 36 Gy (range, 27-54 Gy). Toxicity was seen in 26 patients (26%). Thrombus, baseline CP of A6, and lower platelet count were associated with toxicity on univariate analysis, as were several liver DVH-based parameters. Absolute and spared liver volumes were not significant. On multivariate analysis for CP class A patients, significant associations were found for baseline CP score of A6 (odds ratio [OR], 4.85), lower platelet count (OR, 0.90; median, 108 × 109/L vs 150 × 109/L), higher mean liver dose (OR, 1.33; median, 16.9 Gy vs 14.7 Gy), and higher dose to 800 cc of liver (OR, 1.11; median, 14.3 Gy vs 6.0 Gy). With 13 CP-B7 patients included or when dose to 800 cc of liver was replaced with other DVH parameters (eg, dose to 700 or 900 cc of liver) in the multivariate analysis, effective volume and portal vein thrombus were associated with an increased risk. CONCLUSIONS Baseline CP scores and higher liver doses (eg, mean dose, effective volume, doses to 700-900 cc) were strongly associated with liver function decline 3 months after SBRT. A lower baseline platelet count and portal vein thrombus were also associated with an increased risk.
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Affiliation(s)
- Michael Velec
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Carol R Haddad
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Tim Craig
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Lisa Wang
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - James Brierley
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Brade
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Jolie Ringash
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Rebecca Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Laura A Dawson
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
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Chaudary N, Pintilie M, Jelveh S, Lindsay P, Hill RP, Milosevic M. Plerixafor Improves Primary Tumor Response and Reduces Metastases in Cervical Cancer Treated with Radio-Chemotherapy. Clin Cancer Res 2016; 23:1242-1249. [PMID: 27697997 DOI: 10.1158/1078-0432.ccr-16-1730] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 09/01/2016] [Accepted: 09/26/2016] [Indexed: 11/16/2022]
Abstract
Purpose: There is an important need to improve the effectiveness of radio-chemotherapy (RTCT) for cervical cancer. The CXCL12/CXCR4 pathway can influence RT response by recruiting normal myeloid cells to the tumor microenvironment that in turn can exert radioprotective effects, and may promote metastases. The objective of this study was to explore the efficacy and toxicity of combining RTCT with CXCL12/CXCR4 inhibition in cervical cancer.Experimental Design: CXCR4 expression was measured in 115 patients with cervical cancer. Two primary orthotopic cervical cancer xenografts (OCICx) with different levels of CXCR4 expression were treated with RT (30 Gy: 15 daily fractions) and weekly cisplatin (4 mg/kg), with or without the CXCR4 inhibitor Plerixafor (5 mg/kg/day). The endpoints were tumor growth delay and lymph node metastases. Acute intestinal toxicity was assessed using a crypt cell assay.Results: There was a fivefold variation in CXCR4 mRNA expression in the patient samples, and good correlation between the expression in patients and in the xenografts. The combination of RTCT and Plerixafor produced substantial tumor growth delay and reduced lymph node metastases compared with RTCT alone in both of the xenograft models. There was a trend toward reduced acute intestinal toxicity with the addition of Plerixafor to RTCT. There were no changes in normal organ morphology to suggest increased late toxicity.Conclusions: This study demonstrates that the addition of Plerixafor to standard RTCT improves primary tumor response and reduces metastases in cervical cancer with no increase in toxicity. This combination warrants further investigation in phase I/II clinical trials. Clin Cancer Res; 23(5); 1242-9. ©2016 AACR.
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Affiliation(s)
- Naz Chaudary
- University Health Network, Princess Margaret Cancer Centre and Campbell Family Institute for Cancer Research, Toronto, Canada
| | - Melania Pintilie
- Department of Biostatistics, University Health Network and Princess Margaret Cancer Centre, Toronto, Canada.,Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Salomeh Jelveh
- Radiation Medicine Program, University Health Network and Princess Margaret Cancer Centre, Toronto, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, University Health Network and Princess Margaret Cancer Centre, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Richard P Hill
- University Health Network, Princess Margaret Cancer Centre and Campbell Family Institute for Cancer Research, Toronto, Canada.,Radiation Medicine Program, University Health Network and Princess Margaret Cancer Centre, Toronto, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Michael Milosevic
- Radiation Medicine Program, University Health Network and Princess Margaret Cancer Centre, Toronto, Canada. .,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
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Wong O, Chan B, Moseley J, McNiven A, Lindsay P, Bissonnette JP, Waldron J, Giuliani M, Zhang B. Sci-Fri PM: Radiation Therapy, Planning, Imaging, and Special Techniques - 08: Retrospective Dose Accumulation Workflow in Head and Neck Cancer Patients Using RayStation 4.5.2. Med Phys 2016. [DOI: 10.1118/1.4961851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Goody RB, Lindsay P, Paravasthu DM, Brade AM, Dawson LA, Chung PWM, Bezjak A, Brierley JD, Kim J, Ringash J, Sun A, Giuliani ME, Hope AJ, Gill S, Wong R. Patient recruitment in an oligometastases trial: experience from a phase II study of 5 fraction stereotactic body radiation therapy (SBRT). J Clin Oncol 2016. [DOI: 10.1200/jco.2016.34.15_suppl.e14050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Rebecca Barbara Goody
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Patricia Lindsay
- Radiation Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | | | - Anthony M. Brade
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Peter W. M. Chung
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Andrea Bezjak
- National Cancer Institute of Canada Clinical Trials Group, Kingston, Toronto, ON, Canada
| | - James D. Brierley
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - John Kim
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Jolie Ringash
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | | | - Andrew J. Hope
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Sarika Gill
- Cancer Clinical Research Department, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Rebecca Wong
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada
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Amit G, Purdie TG, Levinshtein A, Hope AJ, Lindsay P, Marshall A, Jaffray DA, Pekar V. Automatic learning-based beam angle selection for thoracic IMRT. Med Phys 2015; 42:1992-2005. [PMID: 25832090 DOI: 10.1118/1.4908000] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effective coverage of the target volume and to avoid unnecessary treatment of normal healthy tissues. Intensity modulated radiation therapy (IMRT) planning is a lengthy process, which requires the planner to iterate between choosing beam angles, specifying dose-volume objectives and executing IMRT optimization. In thorax treatment planning, where there are no class solutions for beam placement, beam angle selection is performed manually, based on the planner's clinical experience. The purpose of this work is to propose and study a computationally efficient framework that utilizes machine learning to automatically select treatment beam angles. Such a framework may be helpful for reducing the overall planning workload. METHODS The authors introduce an automated beam selection method, based on learning the relationships between beam angles and anatomical features. Using a large set of clinically approved IMRT plans, a random forest regression algorithm is trained to map a multitude of anatomical features into an individual beam score. An optimization scheme is then built to select and adjust the beam angles, considering the learned interbeam dependencies. The validity and quality of the automatically selected beams evaluated using the manually selected beams from the corresponding clinical plans as the ground truth. RESULTS The analysis included 149 clinically approved thoracic IMRT plans. For a randomly selected test subset of 27 plans, IMRT plans were generated using automatically selected beams and compared to the clinical plans. The comparison of the predicted and the clinical beam angles demonstrated a good average correspondence between the two (angular distance 16.8° ± 10°, correlation 0.75 ± 0.2). The dose distributions of the semiautomatic and clinical plans were equivalent in terms of primary target volume coverage and organ at risk sparing and were superior over plans produced with fixed sets of common beam angles. The great majority of the automatic plans (93%) were approved as clinically acceptable by three radiation therapy specialists. CONCLUSIONS The results demonstrated the feasibility of utilizing a learning-based approach for automatic selection of beam angles in thoracic IMRT planning. The proposed method may assist in reducing the manual planning workload, while sustaining plan quality.
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Affiliation(s)
- Guy Amit
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada
| | - Thomas G Purdie
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M5S 3E2, Canada; and Techna Institute, University Health Network, Toronto, Ontario M5G 1P5, Canada
| | - Alex Levinshtein
- Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada
| | - Andrew J Hope
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada and Department of Radiation Oncology, University of Toronto, Toronto, Ontario M5S 3E2, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada and Department of Radiation Oncology, University of Toronto, Toronto, Ontario M5S 3E2, Canada
| | - Andrea Marshall
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada
| | - David A Jaffray
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario M5G 2M9, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M5S 3E2, Canada; and Techna Institute, University Health Network, Toronto, Ontario M5G 1P5, Canada
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Stewart J, Lindsay P, Jaffray D. WE-EF-BRA-07: High Performance Preclinical Irradiation Through Optimized Dual Focal Spot Dose Painting and Online Virtual Isocenter Radiation Field Targeting. Med Phys 2015. [DOI: 10.1118/1.4925986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Hill R, Chaudary N, Jelveh S, Lindsay P, Mackay H, Milosevic M. SP-0596: New models to study therapeutic targets in tumours and normal tissues. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)40590-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Cho E, Berlin A, Alayed Y, Craig T, Carlone M, Lee J, Lao B, Lindsay P, Wong V, Cho YB, Menard C. Comparing Preliminary Acute Toxicity between Two Recent Prospective Radiotherapy Treatments for Patients with Prostate Cancer: Reduced PTV Margins vs GTV Boost. J Med Imaging Radiat Sci 2015. [DOI: 10.1016/j.jmir.2015.01.087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Han K, Cummings BJ, Lindsay P, Skliarenko J, Craig T, Le LW, Brierley J, Wong R, Dinniwell R, Bayley AJ, Dawson LA, Ringash J, Krzyzanowska MK, Moore MJ, Chen EX, Easson AM, Kassam Z, Cho C, Kim J. Prospective evaluation of acute toxicity and quality of life after IMRT and concurrent chemotherapy for anal canal and perianal cancer. Int J Radiat Oncol Biol Phys 2014; 90:587-94. [PMID: 25194664 DOI: 10.1016/j.ijrobp.2014.06.061] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Revised: 05/19/2014] [Accepted: 06/23/2014] [Indexed: 11/16/2022]
Abstract
PURPOSE A prospective cohort study was conducted to evaluate toxicity, quality of life (QOL), and clinical outcomes in patients treated with intensity modulated radiation therapy (IMRT) and concurrent chemotherapy for anal and perianal cancer. METHODS AND MATERIALS From June 2008 to November 2010, patients with anal or perianal cancer treated with IMRT were eligible. Radiation dose was 27 Gy in 15 fractions to 36 Gy in 20 fractions for elective targets and 45 Gy in 25 fractions to 63 Gy in 35 fractions for gross targets using standardized, institutional guidelines, with no planned treatment breaks. The chemotherapy regimen was 5-fluorouracil and mitomycin C. Toxicity was graded with the National Cancer Institute Common Terminology Criteria for Adverse Events, version 3. QOL was assessed with the European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30 and CR29 questionnaires. Correlations between dosimetric parameters and both physician-graded toxicities and patient-reported outcomes were evaluated by polyserial correlation. RESULTS Fifty-eight patients were enrolled. The median follow-up time was 34 months; the median age was 56 years; 52% of patients were female; and 19% were human immunodeficiency virus-positive. Stage I, II, III, and IV disease was found in 9%, 57%, 26%, and 9% of patients, respectively. Twenty-six patients (45%) required a treatment break because of acute toxicity, mainly dermatitis (23/26). Acute grade 3 + toxicities included skin 46%, hematologic 38%, gastrointestinal 9%, and genitourinary 0. The 2-year overall survival (OS), disease-free survival (DFS), colostomy-free survival (CFS), and cumulative locoregional failure (LRF) rates were 90%, 77%, 84%, and 16%, respectively. The global QOL/health status, skin, defecation, and pain scores were significantly worse at the end of treatment than at baseline, but they returned to baseline 3 months after treatment. Social functioning and appetite scores were significantly better at 12 months than at baseline. Multiple dose-volume parameters correlated moderately with diarrhea, skin, and hematologic toxicity scores. CONCLUSION IMRT reduces acute grade 3 + hematologic and gastrointestinal toxicities compared with reports from non-IMRT series, without compromising locoregional control. The reported QOL scores most relevant to acute toxicities returned to baseline by 3 months after treatment.
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Affiliation(s)
- Kathy Han
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Bernard J Cummings
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Patricia Lindsay
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Julia Skliarenko
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Tim Craig
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Lisa W Le
- Department of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - James Brierley
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Rebecca Wong
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Robert Dinniwell
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Andrew J Bayley
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Laura A Dawson
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jolie Ringash
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Monika K Krzyzanowska
- Department of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Malcolm J Moore
- Department of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eric X Chen
- Department of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Alexandra M Easson
- Department of Surgical Oncology, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Zahra Kassam
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Charles Cho
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - John Kim
- Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada.
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Stewart J, Lindsay P, Jaffray D. WE-E-BRE-04: Dual Focal Spot Dose Painting for Precision Preclinical Radiobiological Investigations. Med Phys 2014. [DOI: 10.1118/1.4889433] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Chaudary N, Pintilie M, Jelveh S, Lindsay P, Glicksman R, Clarke B, Hill RP, Milosevic M. The CXCL12/CXCR4 pathway, bone marrow-derived myeloid cells, and survival in locally advanced cervical cancer. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.11122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Naz Chaudary
- Ontario Cancer Institute/The Campbell Family Institute for Cancer Research,Princess Margaret Cancer Centre Toronto, Ontario, Canada, Toronto, ON, Canada
| | - Melania Pintilie
- Princess Margaret Hospital, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Salomeh Jelveh
- Radiation Medicine Program, Princess Margaret Hospital Cancer Centre, Toronto, ON, Canada
| | - Patricia Lindsay
- Radiation Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Rachel Glicksman
- Radiation Medicine, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Blaise Clarke
- Department of Pathology and Laboratory Medicine, University Health Network, Toronto, ON, Canada
| | - Richard P. Hill
- Ontario Cancer Institute, Toronto, Ontario, Canada; The Campbell Family Institute for Cancer Research Department of Medical Biophysics, Radiation Oncology Princess Margaret Hospital, Toronto, ON, Canada
| | - Michael Milosevic
- Department of Radiation Oncology, Radiation Medicine Program, Princess Margaret Hospital, University of Toronto, University Health Network, Toronto, ON, Canada
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Granton P, Lindsay P, Van Hoof S, Verhaegen F. SP-0342: Challenges in precision small animal dose calculations. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)30447-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Hill R, Chaudary N, Jelveh S, Lindsay P. SP-0362: Biological studies using the X-RAD 225Cx image-guided irradiator at OCI. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)30467-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Jaffray D, Stewart J, Weersink R, Lindsay P, Wang K, Shah D, DaCosta R, Hill R. SP-0361: Pre-clinical irradiators: Advancements and applications. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)30466-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Bruen E, Groves L, Hill S, Griffiths A, Lindsay P, Patwardhan A, Neelankavil J, Penketh R. Development of an Integrated Outpatient (Office) Procedure Suite – An Evaluation of Acceptability to Patients; Staff and Utilisation of Resources. J Minim Invasive Gynecol 2013. [DOI: 10.1016/j.jmig.2013.08.344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Penketh R, Bruen E, Groves L, Hill S, Patwardhen A, Lindsay P, Griffiths A. Outpatient Resection of Fibroid: A Patient's View. J Minim Invasive Gynecol 2013. [DOI: 10.1016/j.jmig.2013.08.316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Patwardhan A, Penketh R, Lindsay P, Neelankavil J, Groves L, Hill S, Bruen E, Griffiths A. Preliminary Experience of the Innovative Micro Endometrial Ablation Technique (Minitouch) in the Outpatient Department (Office) with or without Local Anaesthetic. J Minim Invasive Gynecol 2013. [DOI: 10.1016/j.jmig.2013.08.252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Penketh R, Griffiths A, Lindsay P, Patwardhan A, Neelankavi J, Groves L, Hill S, Bruen E. Initial Experience with a Karl Stortz Hysteroscopic Morcellator in an Outpatient Department under Local Anaesthetic: Focusing on Training Needs, Patient Experience, Feasibility and Acceptability. J Minim Invasive Gynecol 2013. [DOI: 10.1016/j.jmig.2013.08.475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Caretti V, Noll A, Woo P, Monje M, Cockle J, Bruning-Richardson A, Picton S, Levesley J, Ilett E, Short S, Melcher A, Lawler S, Garzia L, Dubuc A, Pitcher G, Northcott P, Mariampillai A, Mack S, Zayne K, Chan T, Skowron P, Wu X, Lionel A, Morrisy S, Hawkins C, Kongkham P, Rutka J, Huang A, Kenney A, Yang V, Salter M, Taylor M, Garzia L, Morrisy S, Skowron P, Jelveh S, Lindsay P, Largaespada D, Collier L, Dupuy A, Hill R, Taylor M, Hsieh TH, Wang HW, Cheng WC, Wong TT, Huang X, He Y, Dubuc A, Hashizume R, Zhang W, Stehbens S, Younger S, Barshow S, Zhu S, Wu X, Taylor M, Mueller S, Weiss W, James D, Shuman M, Jan YN, Jan L, Marigil M, Jauregi P, Idoate MA, Xipell E, Aldave G, Gonzalez-Huarriz M, Tejada-Solis S, Diez-Valle R, Montero-Carcaboso A, Mora J, Alonso MM, Taylor K, Mackay A, Truffaux N, Morozova O, Butterfield Y, Phillipe C, Vinci M, de Torres C, Cruz O, Mora J, Hargrave D, Monje M, Puget S, Yip S, Jones C, Grill J, Kaul A, Chen YH, Dahiya S, Emnett R, Gianino S, Gutmann D, Miwa T, Oi S, Nonaka Y, Sasaki H, Yoshida K, Lopez E, de Leon AP, Sepulveda C, Zarate L, Diego-Perez J, Pong W, Ding L, McLellan M, Hussain I, Emnett R, Gianino S, Higer S, Leonard J, Guha A, Mardis E, Gutmann D, Sarkar C, Pathak P, Jha P, Purkait S, Sharma V, Sharma MC, Suri V, Faruq M, Mukherjee M, Sivasankaran B, Velayutham RP, Fraschilla IR, Morris KJ, MacDonald TJ, Read TA, Sturm D, Northcott P, Jones D, Korshunov A, Picard D, Lichter P, Huang A, Pfister S, Kool M, Yao TW, Zhang J, Anna B, Brummer T, Gupta N, Nicolaides T, Chan KM, Fang D, Gan H, Hashizume R, Yu C, Schroeder M, Gupta N, Mueller S, James D, Jenkins R, Sarkaria J, Zhang Z. PEDIATRICS LABORATORY RESEARCH. Neuro Oncol 2013. [DOI: 10.1093/neuonc/not186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Bie L, Ju Y, Jin Z, Donovan L, Birks S, Grunewald L, Zmuda F, Pilkington G, Kaul A, Chen YH, Dahiya S, Emnett R, Gianino S, Gutmann D, Poschl J, Bianchi E, Bockstaller M, Neumann P, Schuller U, Gevorgian A, Morozova E, Kazantsev I, Iukhta T, Safonova S, Punanov Y, Zheludkova O, Afanasyev B, Buss M, Remke M, Gandhi K, Kool M, Northcott P, Pfister S, Taylor M, Castellino R, Thompson J, Margraf L, Donahue D, Head H, Murray J, Burger P, Wortham M, Reitman Z, He Y, Bigner D, Yan H, Lee C, Triscott J, Foster C, Manoranjan B, Pambid MR, Fotovati A, Berns R, Venugopal C, O'Halloran K, Narendran A, Northcott P, Taylor MD, Singh SK, Singhal A, Rassekh R, Maxwell CA, Dunham C, Dunn SE, Pambid MR, Berns R, Hu K, Adomat H, Moniri M, Chin MY, Hessein M, Zisman N, Maurer N, Dunham C, Guns E, Dunn S, Koks C, De Vleeschouwer S, Graf N, Van Gool S, D'Asti E, Huang A, Korshunov A, Pfister S, Rak J, Gump W, Moriarty T, Gump W, Skjei K, Karkare S, Castelo-Branco P, Choufani S, Mack S, Gallagher D, Zhang C, Merino D, Wasserman J, Kool M, Jones DT, Croul S, Kreitzer F, Largaespada D, Conklin B, Taylor M, Weiss W, Garzia L, Morrissy S, Zayne K, Wu X, Dirks P, Hawkins C, Dick J, Stein L, Collier L, Largaespada D, Dupuy A, Taylor M, Rampazzo G, Moraes L, Paniago M, Oliveira I, Hitzler J, Silva N, Cappellano A, Cavalheiro S, Alves MT, Cerutti J, Toledo S, Liu Z, Zhao X, Mao H, Baxter P, Wang JCY, Huang Y, Yu L, Su J, Adekunle A, Perlaky L, Hurwitz M, Hurwitz R, Lau C, Chintagumpala M, Blaney S, Baruchel S, Li XN, Zhang J, Hariono S, Hashizume R, Fan Q, James CD, Weiss WA, Nicolaides T, Madsen PJ, Slaunwhite ES, Dirks PB, Ma JF, Henn RE, Hanno AG, Boucher KL, Storm PB, Resnick AC, Lourdusamy A, Rogers H, Ward J, Rahman R, Malkin D, Gilbertson R, Grundy R, Lourdusamy A, Rogers H, Ward J, Rahman R, Gilbertson R, Grundy R, Karajannis M, Fisher M, Pfister S, Milla S, Cohen K, Legault G, Wisoff J, Harter D, Merkelson A, Bloom M, Dhall G, Jones D, Korshunov A, Taylor MD, Pfister S, Eberhart C, Sievert A, Resnick A, Zagzag D, Allen J, Hankinson T, Gump J, Serrano-Almeida C, Torok M, Weksberg R, Handler M, Liu A, Foreman N, Garancher A, Rocques N, Miquel C, Sainte-Rose C, Delattre O, Bourdeaut F, Eychene A, Tabori U, Pouponnot C, Danielpour M, Levy R, Antonuk CD, Rodriguez J, Aravena JM, Kim GB, Gate D, Bannykh S, Svendsen C, Huang X, Town T, Breunig J, Amakye D, Robinson D, Rose K, Cho YJ, Ligon KL, Sharp T, Ando Y, Geoerger B, He Y, Doz F, Ashley D, Hargrave D, Casanova M, Tawbi H, Heath J, Bouffet E, Brandes AA, Chisholm J, Rodon J, Dubuc AM, Thomas A, Mita A, MacDonald T, Kieran M, Eisenstat D, Song X, Danielpour M, Levy R, Antonuk CD, Rodriguez J, Hashizume R, Aravena JM, Kim GB, Gate D, Bannykh S, Svendsen C, Town T, Breunig J, Morrissy AS, Mayoh C, Lo A, Zhang W, Thiessen N, Tse K, Moore R, Mungall A, Wu X, Van Meter TE, Cho YJ, Collins VP, MacDonald TJ, Li XN, Stehbens S, Fernandez-Lopez A, Malkin D, Marra MA, Taylor MD, Karajannis M, Legault G, Hagiwara M, Vega E, Merkelson A, Wisoff J, Younger S, Golfinos J, Roland JT, Allen J, Antonuk CD, Levy R, Kim GB, Town T, Danielpour M, Breunig J, Pak E, Barshow S, Zhao X, Ponomaryov T, Segal R, Levy R, Antonuk CD, Aravena JM, Kim GB, Svendsen C, Town T, Danielpour M, Zhu S, Breunig J, Chi S, Cohen K, Fisher M, Biegel J, Bowers D, Fangusaro J, Manley P, Janss A, Zimmerman MA, Wu X, Kieran M, Sayour E, Pham C, Sanchez-Perez L, Snyder D, Flores C, Kemeny H, Xie W, Cui X, Bigner D, Taylor MD, Sampson J, Mitchell D, Bandopadhayay P, Nguyen B, Masoud S, Vue N, Gholamin S, Yu F, Schubert S, Bergthold G, Weiss WA, Mitra S, Qi J, Bradner J, Kieran M, Beroukhim R, Cho YJ, Reddick W, Glass J, Ji Q, Paulus E, James CD, Gajjar A, Ogg R, Vanner R, Remke M, Aviv T, Lee L, Zhu X, Clarke I, Taylor M, Dirks P, Shuman MA, Hamilton R, Pollack I, Calligaris D, Liu X, Feldman D, Thompson C, Ide J, Buhrlage S, Gray N, Kieran M, Jan YN, Stiles C, Agar N, Remke M, Cavalli FMG, Northcott PA, Kool M, Pfister SM, Taylor MD, Project MAGIC, Rakopoulos P, Jan LY, Pajovic S, Buczkowicz P, Morrison A, Bouffet E, Bartels U, Becher O, Hawkins C, Truffaux N, Puget S, Philippe C, Gump W, Castel D, Taylor K, Mackay A, Le Dret L, Saulnier P, Calmon R, Boddaert N, Blauwblomme T, Sainte-Rose C, Jones C, Mutchnick I, Grill J, Liu X, Ebling M, Ide J, Wang L, Davis E, Marchionni M, Stuart D, Alberta J, Kieran M, Li KKW, Stiles C, Agar N, Remke M, Cavalli FMG, Northcott PA, Kool M, Pfister SM, Taylor MD, Project MAGIC, Tien AC, Pang JCS, Griveau A, Rowitch D, Ramkissoon L, Horowitz P, Craig J, Ramkissoon S, Rich B, Bergthold G, Tabori U, Taha H, Ng HK, Bowers D, Hawkins C, Packer R, Eberhart C, Goumnerova L, Chan J, Santagata S, Pomeroy S, Ligon A, Kieran M, Jackson S, Beroukhim R, Ligon K, Kuan CT, Chandramohan V, Keir S, Pastan I, Bigner D, Zhou Z, Ho S, Voss H, Patay Z, Souweidane M, Salloum R, DeWire M, Fouladi M, Goldman S, Chow L, Hummel T, Dorris K, Miles L, Sutton M, Howarth R, Stevenson C, Leach J, Griesinger A, Donson A, Hoffman L, Birks D, Amani V, Handler M, Foreman N, Sangar MC, Pai A, Pedro K, Ditzler SH, Girard E, Olson J, Gustafson WC, Meyerowitz J, Nekritz E, Charron E, Matthay K, Hertz N, Onar-Thomas A, Shokat K, Weiss W, Hanaford A, Raabe E, Eberhart C, Griesinger A, Donson A, Hoffman L, Amani V, Birks D, Gajjar A, Handler M, Mulcahy-Levy J, Foreman N, Olow AK, Dasgupta T, Yang X, Mueller S, Hashizume R, Kolkowitz I, Weiss W, Broniscer A, Resnick AC, Sievert AJ, Nicolaides T, Prados MD, Berger MS, Gupta N, James CD, Haas-Kogan DA, Flores C, Pham C, Dietl SM, Snyder D, Sanchez-Perez L, Bigner D, Sampson J, Mitchell D, Prakash V, Batanian J, Guzman M, Geller T, Pham CD, Wolfl M, Pei Y, Flores C, Snyder D, Bigner DD, Sampson JH, Wechsler-Reya RJ, Mitchell DA, Van Ommeren R, Venugopal C, Manoranjan B, Beilhack A, McFarlane N, Hallett R, Hassell J, Dunn S, Singh S, Dasgupta T, Olow A, Yang X, Hashizume R, Mueller S, Riedel S, Nicolaides T, Kolkowitz I, Weiss W, Prados M, Gupta N, James CD, Haas-Kogan D, Zhao H, Li L, Picotte K, Monoranu C, Stewart R, Modzelewska K, Boer E, Picard D, Huang A, Radiloff D, Lee C, Dunn S, Hutt M, Nazarian J, Dietl S, Price A, Lim KJ, Warren K, Chang H, Eberhart CG, Raabe EH, Persson A, Huang M, Chandler-Militello D, Li N, Vince GH, Berger M, James D, Goldman S, Weiss W, Lindquist R, Tate M, Rowitch D, Alvarez-Buylla A, Hoffman L, Donson A, Eyrich M, Birks D, Griesinger A, Amani V, Handler M, Foreman N, Meijer L, Walker D, Grundy R, O'Dowd S, Jaspan T, Schlegel PG, Dineen R, Fotovati A, Radiloff D, Coute N, Triscott J, Chen J, Yip S, Louis D, Toyota B, Hukin J, Weitzel D, Rassekh SR, Singhal A, Dunham C, Dunn S, Ahsan S, Hanaford A, Taylor I, Eberhart C, Raabe E, Sun YG, Ashcraft K, Stiles C, Han L, Zhang K, Chen L, Shi Z, Pu P, Dong L, Kang C, Cordero F, Lewis P, Liu C, Hoeman C, Schroeder K, Allis CD, Becher O, Gururangan S, Grant G, Driscoll T, Archer G, Herndon J, Friedman H, Li W, Kurtzberg J, Bigner D, Sampson J, Mitchell D, Yadavilli S, Kambhampati M, Becher O, MacDonald T, Bellamkonds R, Packer R, Buckley A, Nazarian J, DeWire M, Fouladi M, Stewart C, Wetmore C, Hawkins C, Jacobs C, Yuan Y, Goldman S, Fisher P, Rodriguez R, Rytting M, Bouffet E, Khakoo Y, Hwang E, Foreman N, Gilbert M, Gilbertson R, Gajjar A, Saratsis A, Yadavilli S, Wetzel W, Snyder K, Kambhampati M, Hall J, Raabe E, Warren K, Packer R, Nazarian J, Thompson J, Griesinger A, Foreman N, Spazojevic I, Rush S, Levy JM, Hutt M, Karajannis MA, Shah S, Eberhart CG, Raabe E, Rodriguez FJ, Gump J, Donson A, Tovmasyan A, Birks D, Handler M, Foreman N, Hankinson T, Torchia J, Khuong-Quang DA, Ho KC, Picard D, Letourneau L, Chan T, Peters K, Golbourn B, Morrissy S, Birks D, Faria C, Foreman N, Taylor M, Rutka J, Pfister S, Bouffet E, Hawkins C, Batinic-Haberle I, Majewski J, Kim SK, Jabado N, Huang A, Ladner T, Tomycz L, Watchmaker J, Yang T, Kaufman L, Pearson M, Dewhirst M, Ogg RJ, Scoggins MA, Zou P, Taherbhoy S, Jones MM, Li Y, Glass JO, Merchant TE, Reddick WE, Conklin HM, Gholamin S, Gajjar A, Khan A, Kumar A, Tye GW, Broaddus WC, Van Meter TE, Shih DJH, Northcott PA, Remke M, Korshunov A, Mitra S, Jones DTW, Kool M, Pfister SM, Taylor MD, Mille F, Levesque M, Remke M, Korshunov A, Izzi L, Kool M, Richard C, Northcott PA, Taylor MD, Pfister SM, Charron F, Yu F, Masoud S, Nguyen B, Vue N, Schubert S, Tolliday N, Kong DS, Sengupta S, Weeraratne D, Schreiber S, Cho YJ, Birks D, Jones K, Griesinger A, Amani V, Handler M, Vibhakar R, Achrol A, Foreman N, Brown R, Rangan K, Finlay J, Olch A, Freyer D, Bluml S, Gate D, Danielpour M, Rodriguez J, Shae JJ, Kim GB, Levy R, Bannykh S, Breunig JJ, Town T, Monje-Deisseroth M, Cho YJ, Weissman I, Cheshier S, Buczkowicz P, Rakopoulos P, Bouffet E, Morrison A, Bartels U, Becher O, Hawkins C, Dey A, Kenney A, Van Gool S, Pauwels F, De Vleeschouwer S, Barszczyk M, Buczkowicz P, Castelo-Branco P, Mack S, Nethery-Brokx K, Morrison A, Taylor M, Dirks P, Tabori U, Hawkins C, Chandramohan V, Keir ST, Bao X, Pastan IH, Kuan CT, Bigner DD, Bender S, Jones D, Kool M, Sturm D, Korshunov A, Lichter P, Pfister SM, Chen M, Lu J, Wang J, Keir S, Zhang M, Zhao S, Mook R, Barak L, Lyerly HK, Chen W, Ramachandran C, Nair S, Escalon E, Khatib Z, Quirrin KW, Melnick S, Kievit F, Stephen Z, Wang K, Silber J, Ellenbogen R, Zhang M, Hutzen B, Studebaker A, Bratasz A, Powell K, Raffel C, Guo C, Chang CC, Wortham M, Chen L, Kernagis D, Qin X, Cho YW, Chi JT, Grant G, McLendon R, Yan H, Ge K, Papadopoulos N, Bigner D, He Y, Cristiano B, Venkataraman S, Birks DK, Alimova I, Harris PS, Dubuc A, Taylor MD, Foreman NK, Vibhakar R, Ichimura K, Fukushima S, Totoki Y, Suzuki T, Mukasa A, Saito N, Kumabe T, Tominaga T, Kobayashi K, Nagane M, Iuchi T, Mizoguchi M, Sasaki T, Tamura K, Sugiyama K, Narita Y, Shibui S, Matsutani M, Shibata T, Nishikawa R, Northcott P, Zichner T, Jones D, Kool M, Jager N, Feychting M, Lannering B, Tynes T, Wesenberg F, Hauser P, Ra YS, Zitterbart K, Jabado N, Chan J, Fults D, Mueller S, Grajkowska W, Lichter P, Korbel J, Pfister S, Kool M, Jones DTW, Jaeger N, Northcott PA, Pugh T, Hovestadt V, Markant SL, Esparza LA, Bourdeaut F, Remke M, Taylor MD, Cho YJ, Pomeroy SL, Schueller U, Korshunov A, Eils R, Wechsler-Reya RJ, Lichter P, Pfister SM, Keir S, Pegram C, Lipp E, Rasheed A, Chandramohan V, Kuan CT, Kwatra M, Yan H, Bigner D, Chornenkyy Y, Buczkowicz P, Agnihotri S, Becher O, Hawkins C, Rogers H, Mayne C, Kilday JP, Coyle B, Grundy R, Sun T, Warrington N, Luo J, Brooks M, Dahiya S, Sengupta R, Rubin J, Erdreich-Epstein A, Robison N, Ren X, Zhou H, Ji L, Margo A, Jones D, Pfister S, Kool M, Sposto R, Asgharzadeh S, Clifford S, Gustafsson G, Ellison D, Figarella-Branger D, Doz F, Rutkowski S, Lannering B, Pietsch T, Broniscer A, Tatevossian R, Sabin N, Klimo P, Dalton J, Lee R, Gajjar A, Ellison D, Garzia L, Dubuc A, Pitcher G, Northcott P, Mariampillai A, Chan T, Skowron P, Wu X, Yao Y, Hawkins C, Peacock J, Zayne K, Croul S, Rutka J, Kenney A, Huang A, Yang V, Baylin S, Salter M, Taylor M, Ward S, Sengupta R, Rubin J, Garzia L, Morrissy S, Skowron P, Jelveh S, Lindsay P, Largaespada D, Collier L, Dupuy A, Hill R, Taylor M, Lulla RR, Laskowski J, Fangusaro J, DiPatri AJ, Alden T, Vanin EF, Tomita T, Goldman S, Soares MB, Rajagopal MU, Lau LS, Hathout Y, Gordish-Dressman H, Rood B, Datar V, Bochare S, Singh A, Khatau S, Fangusaro J, Goldman S, Lulla R, Rajaram V, Gopalakrishnan V, Morfouace M, Shelat A, Jaccus M, Freeman B, Zindy F, Robinson G, Guy K, Stewart C, Gajjar A, Roussel M, Krebs S, Chow K, Yi Z, Brawley V, Ahmed N, Gottschalk S, Lerner R, Harness J, Yoshida Y, Santos R, Torre JDL, Nicolaides T, Ozawa T, James D, Petritsch C, Vitte J, Chareyre F, Stemmer-Rachamimov A, Giovannini M, Hashizume R, Yu-Jen L, Tom M, Ihara Y, Huang X, Waldman T, Mueller S, Gupta N, James D, Shevtsov M, Yakovleva L, Nikolaev B, Dobrodumov A, Onokhin K, Bychkova N, Mikhrina A, Khachatryan W, Guzhova I, Martynova M, Bystrova O, Ischenko A, Margulis B, Martin A, Nirschl C, Polanczyk M, Cohen K, Pardoll D, Drake C, Lim M, Crowther A, Chang S, Yuan H, Deshmukh M, Gershon T, Meyerowitz JG, Gustafson WC, Nekritz EA, Swartling F, Shokat KM, Ruggero D, Weiss WA, Bergthold G, Rich B, Bandopadhayay P, Chan J, Santaga S, Hoshida Y, Golub T, Tabak B, Ferrer-Luna R, Grill J, Wen PY, Stiles C, Kieran M, Ligon K, Beroukhim R, Lulla RR, Laskowski J, Gireud M, Fangusaro J, Goldman S, Gopalakrishnan V, Merino D, Shlien A, Pienkowska M, Tabori U, Gilbertson R, Malkin D, Mueller S, Hashizume R, Yang X, Kolkowitz I, Olow A, Phillips J, Smirnov I, Tom M, Prados M, Berger M, Gupta N, Haas-Kogan D, Beez T, Sarikaya-Seiwert S, Janssen G, Felsberg J, Steiger HJ, Hanggi D, Marino AM, Baryawno N, Johnsen JI, Ostman A, Wade A, Engler JR, Robinson AE, Phillips JJ, Witt H, Sill M, Mack SC, Wani KM, Lambert S, Tzaridis T, Bender S, Jones DT, Milde T, Northcott PA, Kool M, von Deimling A, Kulozik AE, Witt O, Lichter P, Collins VP, Aldape K, Taylor MD, Korshunov A, Pfister SM, Hatcher R, Das C, Datar V, Taylor P, Singh A, Lee D, Fuller G, Ji L, Fangusaro J, Rajaram V, Goldman S, Eberhart C, Gopalakrishnan V, Griveau A, Lerner R, Ihrie R, Sugiarto S, Ihara Y, Reichholf B, Huillard E, Mcmahon M, James D, Phillips J, Buylla AA, Rowitch D, Petritsch C, Snuderl M, Batista A, Kirkpatrick N, de Almodovar CR, Riedemann L, Knevels E, Schmidt T, Peterson T, Roberge S, Bais C, Yip S, Hasselblatt M, Rossig C, Ferrara N, Klagsbrun M, Duda D, Fukumura D, Xu L, Carmeliet P, Jain R, Nguyen A, Pencreach E, Lasthaus C, Lobstein V, Guerin E, Guenot D, Entz-Werle N, Diaz R, Golbourn B, Faria C, Shih D, MacKenzie D, Picard D, Bryant M, Smith C, Taylor M, Huang A, Rutka J, Gromeier M, Desjardins A, Sampson JH, Threatt SJE, Herndon JE, Friedman A, Friedman HS, Bigner DD, Cavalli FMG, Morrissy AS, Li Y, Chu A, Remke M, Thiessen N, Mungall AJ, Bader GD, Malkin D, Marra MA, Taylor MD, Manoranjan B, Wang X, Hallett R, Venugopal C, Mack S, McFarlane N, Nolte S, Scheinemann K, Gunnarsson T, Hassell J, Taylor M, Lee C, Triscott J, Foster C, Dunham C, Hawkins C, Dunn S, Singh S, McCrea HJ, Bander E, Venn RA, Reiner AS, Iorgulescu JB, Puchi LA, Schaefer PM, Cederquist G, Greenfield JP, Tsoli M, Luk P, Dilda P, Hogg P, Haber M, Ziegler D, Mack S, Agnihotri S, Witt H, Shih D, Wang X, Ramaswamy V, Zayne K, Bertrand K, Massimi L, Grajkowska W, Lach B, Gupta N, Weiss W, Guha A, Zadeh G, Rutka J, Korshunov A, Pfister S, Taylor M, Mack S, Witt H, Jager N, Zuyderduyn S, Nethery-Brokx K, Garzia L, Zayne K, Wang X, Barszczyk M, Wani K, Bouffet E, Weiss W, Hawkins C, Rutka J, Bader G, Aldape K, Dirks P, Pfister S, Korshunov A, Taylor M, Engler J, Robinson A, Wade A, Molinaro A, Phillips J, Ramaswamy V, Remke M, Bouffet E, Faria C, Shih D, Gururangan S, McLendon R, Schuller U, Ligon K, Pomeroy S, Jabado N, Dunn S, Fouladi M, Rutka J, Hawkins C, Tabori U, Packer R, Pfister S, Korshunov A, Taylor M, Faria C, Dubuc A, Golbourn B, Diaz R, Agnihotri S, Sabha N, Luck A, Leadly M, Reynaud D, Wu X, Remke M, Ramaswamy V, Northcott P, Pfister S, Croul S, Kool M, Korshunov A, Smith C, Taylor M, Rutka J, Pietsch T, Doerner E, Muehlen AZ, Velez-Char N, Warmuth-Metz M, Kortmann R, von Hoff K, Friedrich C, Rutkowski S, von Bueren A, Lu YJ, James CD, Hashizume R, Mueller S, Phillips J, Gupta N, Sturm D, Northcott PA, Jones DTW, Korshunov A, Picard D, Lichter P, Huang A, Pfister SM, Kool M, Ward J, Teague C, Shriyan B, Grundy R, Rahman R, Taylor K, Mackay A, Morozova O, Butterfield Y, Truffaux N, Philippe C, Vinci M, de Torres C, Cruz O, Mora J, Hargrave D, Puget S, Yip S, Jones C, Grill J, Smith S, Ward J, Tan C, Grundy R, Rahman R, Bjerke L, Mackay A, Nandhabalan M, Burford A, Jury A, Popov S, Bax D, Carvalho D, Taylor K, Vinci M, Bajrami I, McGonnell I, Lord C, Reis R, Hargrave D, Ashworth A, Workman P, Jones C, Carvalho D, Mackay A, Burford A, Bjerke L, Chen L, Kozarewa I, Lord C, Ashworth A, Hargrave D, Reis R, Jones C, Marigil M, Jauregui PJ, Alonso M, Chan TS, Hawkins C, Picard D, Henkin J, Huang A, Trubicka J, Kucharczyk M, Pelc M, Chrzanowska K, Ciara E, Perek-Polnik M, Grajkowska W, Piekutowska-Abramczuk D, Jurkiewicz D, Luczak S, Borucka-Mankiewicz M, Kowalski P, Krajewska-Walasek M, de Mola RML, Laskowski J, Fangusaro J, Costa FF, Vanin EF, Goldman S, Soares MB, Lulla RR, Mann A, Venugopal C, Vora P, Singh M, van Ommeren R, McFarlane N, Manoranjan B, Qazi M, Scheinemann K, MacDonald P, Delaney K, Whitton A, Dunn S, Singh S, Sievert A, Lang SS, Boucher K, Madsen P, Slaunwhite E, Choudhari N, Kellet M, Storm P, Resnick A, Agnihotri S, Burrell K, Fernandez N, Golbourn B, Clarke I, Barszczyk M, Sabha N, Dirks P, Jones C, Rutka J, Zadeh G, Hawkins C, Murphy B, Obad S, Bihannic L, Ayrault O, Zindy F, Kauppinen S, Roussel M, Golbourn B, Agnihotri S, Cairns R, Mischel P, Aldape K, Hawkins C, Zadeh G, Rutka J, Rush S, Donson A, Kleinschmidt-DeMasters B, Bemis L, Birks D, Chan M, Smith A, Handler M, Foreman N, Gronych J, Jones DTW, Zuckermann M, Hutter S, Korshunov A, Kool M, Ryzhova M, Reifenberger G, Pfister SM, Lichter P, Jones DTW, Hovestadt V, Picelli S, Wang W, Northcott PA, Kool M, Jager N, Reifenberger G, Rutkowski S, Pietsch T, Sultan M, Yaspo ML, Landgraf P, Eils R, Korshunov A, Zapatka M, Pfister SM, Radlwimmer B, Lichter P, Huang Y, Mao H, Wang Y, Kogiso M, Zhao X, Baxter P, Man C, Wang Z, Zhou Y, Li XN, Chung AH, Crabtree D, Schroeder K, Becher OJ, Panosyan E, Wang Y, Lasky J, Liu Z, Zhao X, Wang Y, Mao H, Huang Y, Kogiso M, Baxter P, Adesina A, Su J, Picard D, Huang A, Perlaky L, Chintagumpala M, Lau C, Blaney S, Li XN, Huang M, Persson A, Swartling F, Moriarity B. Abstracts. Neuro Oncol 2013. [DOI: 10.1093/neuonc/not047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Figley SA, Chen Y, Maeda A, Conroy L, McMullen JD, Silver JI, Stapleton S, Vitkin A, Lindsay P, Burrell K, Zadeh G, Fehlings MG, DaCosta RS. A spinal cord window chamber model for in vivo longitudinal multimodal optical and acoustic imaging in a murine model. PLoS One 2013; 8:e58081. [PMID: 23516432 PMCID: PMC3597636 DOI: 10.1371/journal.pone.0058081] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2012] [Accepted: 01/30/2013] [Indexed: 02/05/2023] Open
Abstract
In vivo and direct imaging of the murine spinal cord and its vasculature using multimodal (optical and acoustic) imaging techniques could significantly advance preclinical studies of the spinal cord. Such intrinsically high resolution and complementary imaging technologies could provide a powerful means of quantitatively monitoring changes in anatomy, structure, physiology and function of the living cord over time after traumatic injury, onset of disease, or therapeutic intervention. However, longitudinal in vivo imaging of the intact spinal cord in rodent models has been challenging, requiring repeated surgeries to expose the cord for imaging or sacrifice of animals at various time points for ex vivo tissue analysis. To address these limitations, we have developed an implantable spinal cord window chamber (SCWC) device and procedures in mice for repeated multimodal intravital microscopic imaging of the cord and its vasculature in situ. We present methodology for using our SCWC to achieve spatially co-registered optical-acoustic imaging performed serially for up to four weeks, without damaging the cord or induction of locomotor deficits in implanted animals. To demonstrate the feasibility, we used the SCWC model to study the response of the normal spinal cord vasculature to ionizing radiation over time using white light and fluorescence microscopy combined with optical coherence tomography (OCT) in vivo. In vivo power Doppler ultrasound and photoacoustics were used to directly visualize the cord and vascular structures and to measure hemoglobin oxygen saturation through the complete spinal cord, respectively. The model was also used for intravital imaging of spinal micrometastases resulting from primary brain tumor using fluorescence and bioluminescence imaging. Our SCWC model overcomes previous in vivo imaging challenges, and our data provide evidence of the broader utility of hybridized optical-acoustic imaging methods for obtaining multiparametric and rich imaging data sets, including over extended periods, for preclinical in vivo spinal cord research.
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Affiliation(s)
- Sarah A Figley
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
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Desrosiers M, DeWerd L, Deye J, Lindsay P, Murphy MK, Mitch M, Macchiarini F, Stojadinovic S, Stone H. The Importance of Dosimetry Standardization in Radiobiology. J Res Natl Inst Stand Technol 2013; 118:403-18. [PMID: 26401441 PMCID: PMC4487307 DOI: 10.6028/jres.118.021] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/17/2013] [Indexed: 05/14/2023]
Abstract
Radiation dose is central to much of radiobiological research. Precision and accuracy of dose measurements and reporting of the measurement details should be sufficient to allow the work to be interpreted and repeated and to allow valid comparisons to be made, both in the same laboratory and by other laboratories. Despite this, a careful reading of published manuscripts suggests that measurement and reporting of radiation dosimetry and setup for radiobiology research is frequently inadequate, thus undermining the reliability and reproducibility of the findings. To address these problems and propose a course of action, the National Cancer Institute (NCI), the National Institute of Allergy and Infectious Diseases (NIAID), and the National Institute of Standards and Technology (NIST) brought together representatives of the radiobiology and radiation physics communities in a workshop in September, 2011. The workshop participants arrived at a number of specific recommendations as enumerated in this paper and they expressed the desirability of creating dosimetry standard operating procedures (SOPs) for cell culture and for small and large animal experiments. It was also felt that these SOPs would be most useful if they are made widely available through mechanism(s) such as the web, where they can provide guidance to both radiobiologists and radiation physicists, be cited in publications, and be updated as the field and needs evolve. Other broad areas covered were the need for continuing education through tutorials at national conferences, and for journals to establish standards for reporting dosimetry. This workshop did not address issues of dosimetry for studies involving radiation focused at the sub-cellular level, internally-administered radionuclides, biodosimetry based on biological markers of radiation exposure, or dose reconstruction for epidemiological studies.
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Affiliation(s)
- Marc Desrosiers
- National Institute of Standards and Technology, Gaithersburg, Maryland 20899
| | - Larry DeWerd
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - James Deye
- National Cancer Institute, National Institute of Health, Bethesda, Maryland
| | - Patricia Lindsay
- Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Mark K Murphy
- Battelle–Pacific Northwest National Laboratory, Richland, Washington
| | - Michael Mitch
- National Institute of Standards and Technology, Gaithersburg, Maryland 20899
| | - Francesca Macchiarini
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | | | - Helen Stone
- National Cancer Institute, National Institute of Health, Bethesda, Maryland
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Cuthbert D, Catton C, Lindsay P, Jiang H, Craig T. Dose Conformality and Acute Toxicity Analysis in Patients With Prostate Adenocarcinoma Treated With Volumetric Modulated Arc Therapy (VMAT) Versus Conventional Intensity Modulated Radiation Therapy (IMRT). Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.1059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Taremi M, Hope A, Lindsay P, Dahele M, Fung S, Purdie TG, Jaffray D, Dawson L, Bezjak A. Predictors of radiotherapy induced bone injury (RIBI) after stereotactic lung radiotherapy. Radiat Oncol 2012; 7:159. [PMID: 22985910 PMCID: PMC3534507 DOI: 10.1186/1748-717x-7-159] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Accepted: 09/10/2012] [Indexed: 01/09/2023] Open
Abstract
Background The purpose of this study was to identify clinical and dosimetric factors associated with radiotherapy induced bone injury (RIBI) following stereotactic lung radiotherapy. Methods Inoperable patients with early stage non-small cell lung cancer, treated with SBRT, who received 54 or 60 Gy in 3 fractions, and had a minimum of 6 months follow up were reviewed. Archived treatment plans were retrieved, ribs delineated individually and treatment plans re-computed using heterogeneity correction. Clinical and dosimetric factors were evaluated for their association with rib fracture using logistic regression analysis; a dose-event curve and nomogram were created. Results 46 consecutive patients treated between Oct 2004 and Dec 2008 with median follow-up 25 months (m) (range 6 – 51 m) were eligible. 41 fractured ribs were detected in 17 patients; median time to fracture was 21 m (range 7 – 40 m). The mean maximum point dose in non-fractured ribs (n = 1054) was 10.5 Gy ± 10.2 Gy, this was higher in fractured ribs (n = 41) 48.5 Gy ± 24.3 Gy (p < 0.0001). On univariate analysis, age, dose to 0.5 cc of the ribs (D0.5), and the volume of the rib receiving at least 25 Gy (V25), were significantly associated with RIBI. As D0.5 and V25 were cross-correlated (Spearman correlation coefficient: 0.57, p < 0.001), we selected D0.5 as a representative dose parameter. On multivariate analysis, age (odds ratio: 1.121, 95% CI: 1.04 – 1.21, p = 0.003), female gender (odds ratio: 4.43, 95% CI: 1.68 – 11.68, p = 0.003), and rib D0.5 (odds ratio: 1.0009, 95% CI: 1.0007 – 1.001, p < 0.0001) were significantly associated with rib fracture. Using D0.5, a dose-event curve was constructed estimating risk of fracture from dose at the median follow up of 25 months after treatment. In our cohort, a 50% risk of rib fracture was associated with a D0.5 of 60 Gy. Conclusions Dosimetric and clinical factors contribute to risk of RIBI and both should be included when modeling risk of toxicity. A nomogram is presented using D0.5, age, and female gender to estimate risk of RIBI following SBRT. This requires validation.
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Affiliation(s)
- Mojgan Taremi
- Radiation Medicine Program, Princess Margaret Hospital, Toronto, ON, Canada.
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