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Shor D, Louie AV, Zeng KL, Menjak IB, Atenafu EG, Chia-Lin Tseng, Detsky J, Larouche J, Zhang B, Soliman H, Myrehaug S, Maralani P, Hwang DM, Sahgal A, Chen H. Utility of molecular markers in predicting local control specific to lung cancer spine metastases treated with stereotactic body radiotherapy. J Neurooncol 2024; 167:275-283. [PMID: 38526757 DOI: 10.1007/s11060-024-04603-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 02/07/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND AND PURPOSE We report outcomes following spine stereotactic body radiotherapy (SBRT) in metastatic non-small cell lung cancer (NSCLC) and the significance of programmed death-ligand 1 (PD-L1) status, epidermal growth factor receptor (EGFR) mutation and timing of immune check point inhibitors (ICI) on local failure (LF). MATERIALS AND METHODS 165 patients and 389 spinal segments were retrospectively reviewed from 2009 to 2021. Baseline patient characteristics, treatment and outcomes were abstracted. Primary endpoint was LF and secondary, overall survival (OS) and vertebral compression fracture (VCF). Multivariable analysis (MVA) evaluated factors predictive of LF and VCF. RESULTS The median follow-up and OS were: 13.0 months (range, 0.5-95.3 months) and 18.4 months (95% CI 11.4-24.6). 52.1% were male and 76.4% had adenocarcinoma. Of the 389 segments, 30.3% harboured an EGFR mutation and 17.0% were PD-L1 ≥ 50%. The 24 months LF rate in PD-L1 ≥ 50% vs PD-L1 < 50% was 10.7% vs. 38.0%, and in EGFR-positive vs. negative was 18.1% vs. 30.0%. On MVA, PD-L1 status of ≥ 50% (HR 0.32, 95% CI 0.15-0.69, p = 0.004) significantly predicted for lower LF compared to PD-L1 < 50%. Lower LF trend was seen with ICI administration peri and post SBRT (HR 0.41, 95% CI 0.16-1.05, p = 0.062). On MVA, polymetastatic disease (HR 3.28, 95% CI 1.84-5.85, p < 0.0001) and ECOG ≥ 2 (HR 1.87, 95% CI 1.16-3.02, p = 0.011) significantly predicted for worse OS and absence of baseline VCF predicted for lower VCF rate (HR 0.20, 95% CI 0.10-0.39, p < 0.0001). CONCLUSION We report a significant association of PD-L1 ≥ 50% status on improved LC rates from spine SBRT in NSCLC patients.
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Affiliation(s)
- Dana Shor
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Alexander V Louie
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Kang Liang Zeng
- Department of Radiation Oncology, Simcoe Muskoka Regional Cancer Centre, Barrie, ON, Canada
| | - Ines B Menjak
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Jeremie Larouche
- Division of Orthopedic Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Beibei Zhang
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - David M Hwang
- Department of Laboratory Medicine & Molecular Diagnostics, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada.
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Ong WL, Stewart J, Sahgal A, Soliman H, Tseng CL, Detsky J, Chen H, Ho L, Das S, Maralani P, Lipsman N, Stanisz G, Perry J, Lim-Fat MJ, Atenafu EG, Lau A, Ruschin M, Myrehaug S. Predictors of tumour dynamics over a 6-week course of concurrent chemoradiotherapy for glioblastoma and the impact on survival. Int J Radiat Oncol Biol Phys 2024:S0360-3016(24)00453-X. [PMID: 38561051 DOI: 10.1016/j.ijrobp.2024.03.036] [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: 08/29/2023] [Revised: 02/09/2024] [Accepted: 03/20/2024] [Indexed: 04/04/2024]
Abstract
PURPOSE We present the final analyses of tumour dynamics and their prognostic significance during a 6-week course of concurrent chemoradiotherapy (chemoRT) for glioblastoma (GBM) in the GLIO study. METHODS AND MATERIALS This is a prospective serial MR imaging study in 129 patients with GBM who had MRIs obtained at RT planning (F0), fraction-10 (F10), fraction-20 (F20), and 1-month post-RT. Tumour dynamics assessed included gross tumour volume (GTV) relative to F0 (Vrel), and tumour migration distance (dmigration). Covariables evaluated included: corpus callosum involvement, extent of surgery, MGMT methylation and IDH mutation status. RESULTS The median Vrel were 0.85 (range: 0.25-2.29) at F10, 0.79 (range: 0.09-2.22) at F20 and 0.78 (range: 0.13-4.27) at P1M. The median dmigration were 4.7mm (range: 1.1-20.4mm) at F10, 4.7mm (range: 0.8-20.7mm) at F20 and 6.1mm (range: 0.0-45.5mm) at P1M. Compared to patients who had corpus callosum involvement (n=26), those without corpus callosum involvement (n=103) had significant Vrel reduction at F20 (P=0.03) and smaller dmigration at F20 (P=0.007). Compared to patients who had biopsy alone (n=19) and subtotal resection (n=71), those who had gross total resection (n=38) had significant Vrel reduction at F10 (P=0.001) and F20 (P=0.001) and a smaller dmigration at F10 (P=0.03) and F20 (P=0.002). MGMT methylation and IDH mutation status were not significantly associated with tumour dynamics. The median progression free survival and overall survival (OS) were 8.5 months (95%CI=6.9-9.9) and 20.4 months (95%CI=17.6-25.2). In multivariable analyses, patients with Vrel≥1.33 at F10 had worse OS (HR=4.6; 95%CI=1.8-11.4; P=0.001), while patients with dmigration≥5mm at 1-month post-RT had worse PFS (HR=1.76; 95%CI=1.08-2.87) and OS (HR=2.2; 95%CI=1.2-4.0; P=0.007). CONCLUSION Corpus callosum involvement and extent of surgery are independent predictors of tumour dynamics during RT and can enable patient selection for adaptive RT strategies. Significant tumour enlargement at F10 and tumour migration 1-month post-RT were associated with poorer OS.
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Affiliation(s)
- Wee Loon Ong
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada; Alfred Health Radiation Oncology, Central Clinical School, Monash University, Melbourne, Australia
| | - James Stewart
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Ling Ho
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Sunit Das
- Division of Neurosurgery, University of Toronto, Toronto, Canada; Division of Neurosurgery and Centre for Ethics, St Michael's Hospital, Toronto, Canada; The Arthur and Sonia Labatt Brain Tumour Research Centre, SickKids Hospital, Toronto, Canada
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Nir Lipsman
- Division of Neurosurgery, University of Toronto, Toronto, Canada; Department of Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto Canada
| | - Greg Stanisz
- Department of Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada; Department of Neurosurgery and Paediatric Neurosurgery, Medical University Lublin, Poland
| | - James Perry
- Division of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Mary Jane Lim-Fat
- Division of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, University of Toronto, Toronto, Canada.
| | - Angus Lau
- Department of Physical Sciences, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, University of Toronto, Toronto, Canada; Department of Medical Physics, Sunnybrook Odette Cancer Centre, Toronto, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada.
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Zeng KL, Soliman H, Myrehaug S, Tseng CL, Detsky J, Chen H, Lim-Fat MJ, Ruschin M, Atenafu EG, Keith J, Lipsman N, Heyn C, Maralani P, Das S, Pirouzmand F, Sahgal A. Dose-Escalated Radiation Therapy Is Associated With Improved Outcomes for High-Grade Meningioma. Int J Radiat Oncol Biol Phys 2024; 118:662-671. [PMID: 37793575 DOI: 10.1016/j.ijrobp.2023.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 09/12/2023] [Accepted: 09/16/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE The optimal modern radiation therapy (RT) approach after surgery for atypical and malignant meningioma is unclear. We present results of dose escalation in a single-institution cohort spanning 2000 to 2021. METHODS AND MATERIALS Consecutive patients with histopathologic grade 2 or 3 meningioma treated with RT were reviewed. A dose-escalation cohort (≥66 Gy equivalent dose in 2-Gy fractions using an α/β = 10) was compared with a standard-dose cohort (<66 Gy). Outcomes were progression-free survival (PFS), cause-specific survival, overall survival (OS), local failure (LF), and radiation necrosis. RESULTS One hundred eighteen patients (111 grade 2, 94.1%) were identified; 54 (45.8%) received dose escalation and 64 (54.2%) standard dose. Median follow-up was 45.4 months (IQR, 24.0-80.0 months) and median OS was 9.7 years (Q1: 4.6 years, Q3: not reached). All dose-escalated patients had residual disease versus 65.6% in the standard-dose cohort (P < .001). PFS at 3, 4, and 5 years in the dose-escalated versus standard-dose cohort was 78.9%, 72.2%, and 64.6% versus 57.2%, 49.1%, and 40.8%, respectively, (P = .030). On multivariable analysis, dose escalation (hazard ratio [HR], 0.544; P = .042) was associated with improved PFS, whereas ≥2 surgeries (HR, 1.989; P = .035) and older age (HR, 1.035; P < .001) were associated with worse PFS. The cumulative risk of LF was reduced with dose escalation (P = .016). Multivariable analysis confirmed that dose escalation was protective for LF (HR, 0.483; P = .019), whereas ≥2 surgeries before RT predicted for LF (HR, 2.145; P = .008). A trend was observed for improved cause-specific survival and OS in the dose-escalation cohort (P < .1). Seven patients (5.9%) developed symptomatic radiation necrosis with no significant difference between the 2 cohorts. CONCLUSIONS Dose-escalated RT with ≥66 Gy for high-grade meningioma is associated with improved local control and PFS with an acceptable risk of radiation necrosis.
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Affiliation(s)
- K Liang Zeng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mary-Jane Lim-Fat
- Division of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, Toronto, Ontario, Canada
| | - Julia Keith
- Department of Anatomic Pathology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Nir Lipsman
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chris Heyn
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sunit Das
- Division of Neurosurgery, Unity Health Toronto, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Farhad Pirouzmand
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
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4
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Moore-Palhares D, Zeng KL, Tseng CL, Chen H, Myrehaug S, Soliman H, Maralani P, Larouche J, Shakil H, Jerzak K, Ruschin M, Zhang B, Atenafu EG, Sahgal A, Detsky J. Stereotactic Body Radiation Therapy for Sacral Metastases: Deviation From Recommended Target Volume Delineation Increases the Risk of Local Failure. Int J Radiat Oncol Biol Phys 2024:S0360-3016(24)00282-7. [PMID: 38395085 DOI: 10.1016/j.ijrobp.2024.01.213] [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: 07/25/2023] [Revised: 01/03/2024] [Accepted: 01/26/2024] [Indexed: 02/25/2024]
Abstract
PURPOSE Although spine stereotactic body radiation therapy (SBRT) is considered a standard of care in the mobile spine, mature evidence reporting outcomes specific to sacral metastases is lacking. Furthermore, there is a need to validate the existing sacral SBRT international consensus contouring guidelines to define the optimal contouring approach. We report mature rates of local failure (LF), adverse events, and the effect of contouring deviations in the largest experience to date specific to sacrum SBRT. METHODS AND MATERIALS Consecutive patients who underwent sacral SBRT from 2010 to 2021 were retrospectively reviewed. The primary endpoint was magnetic resonance imaging-based LF with a focus on adherence to target volume contouring recommendations. Secondary endpoints included vertebral compression fracture and neural toxicity. RESULTS Of the 215 sacrum segments treated in 112 patients, most received 30 Gy/4 fractions (51%), 24 Gy/2 fractions (31%), or 30 Gy/5 fractions (10%). Sixteen percent of segments were nonadherent to the consensus guideline with a more restricted target volume (undercontoured). The median follow-up was 21.4 months (range, 1.5-116.9 months). The cumulative incidence of LF at 1 and 2 years was 18.4% and 23.1%, respectively. In those with guideline adherent versus nonadherent contours, the LF rate at 1 year was 15.1% versus 31.4% and at 2 years 18.8% versus 40.0% (hazard ratio [HR], 2.5; 95% CI, 1.4-4.6; P = .003), respectively. On multivariable analysis, guideline nonadherence (HR, 2.4; 95% CI, 1.3-4.7; P = .008), radioresistant histology (HR, 2.4; 95% CI, 1.4-4.1; P < .001), and extraosseous extension (HR, 2.5; 95% CI, 1.3-4.7; P = .005) predicted for an increased risk of LF. The cumulative incidence of vertebral compression fracture was 7.1% at 1 year and 12.3% at 2 years. Seven patients (6.3%) developed peripheral nerve toxicity, of whom 4 had been previously radiated. CONCLUSIONS Sacral SBRT is associated with high efficacy rates and an acceptable toxicity profile. Adhering to consensus guidelines for target volume delineation is recommended to reduce the risk of LF.
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Affiliation(s)
- Daniel Moore-Palhares
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - K Liang Zeng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jeremie Larouche
- Division of Orthopedic Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Husain Shakil
- Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Katarzyna Jerzak
- Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Beibei Zhang
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
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Chen H, Atenafu EG, Zeng KL, Chan A, Detsky J, Myrehaug S, Soliman H, Tseng CL, Sahgal A, Maralani PJ. Magnetic Resonance Imaging Frequency After Stereotactic Body Radiation Therapy for Spine Metastases. Int J Radiat Oncol Biol Phys 2024:S0360-3016(24)00319-5. [PMID: 38373656 DOI: 10.1016/j.ijrobp.2024.02.010] [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: 09/07/2023] [Revised: 01/03/2024] [Accepted: 02/08/2024] [Indexed: 02/21/2024]
Abstract
PURPOSE Stereotactic body radiation therapy (SBRT) is increasingly being used to treat spine metastases. Current post-SBRT imaging surveillance strategies in this patient population may benefit from a more data-driven and personalized approach. The objective of this study was to develop risk-stratified post-SBRT magnetic resonance imaging (MRI) surveillance strategies using quantitative methods. METHODS AND MATERIALS Adult patients with bony spine metastases treated with SBRT between 2008 and 2021 and who had at least 2 follow-up spine MRIs were reviewed retrospectively. A recursive partitioning analysis model was developed to separate patients into different risk categories for post-SBRT progression anywhere within the spine. Imaging intervals were derived for each risk category using parametric survival regression based on multiple expected spine progression rates per scan. RESULTS A total of 446 patients and 1039 vertebral segments were included. Cumulative incidence of spine progression was 19.2% at 1 year, 26.7% at 2 years, and 35.3% at 4 years. The internally validated risk stratification model was able to divide patients into 3 risk categories based on epidural disease, paraspinal disease, and Spinal Instability Neoplastic Score category. The 4-year risk of spine progression was 23.4%, 39.0%, and 51.8%, respectively, for the low-, intermediate-, and high-risk groups. Using an expected per-scan spine progression rate of 3.75%, the low-risk group would require follow-up scans every 6.0 months (95% CI, 4.9-7.6) and the intermediate-risk group would require surveillance every 3.1 months (95% CI, 2.6-3.7). At an expected spine progression rate of 5%, the high-risk group would require surveillance every 1.3 months (95% CI, 1.1-1.6) during the first 13.2 months after SBRT and every 5.9 months thereafter (95% CI, 2.8-12.3). CONCLUSIONS Data-driven follow-up MRI surveillance intervals at a range of expected spine progression rates have been determined for patients at different risks of spine progression based on an internally validated, single-institution risk stratification model.
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Affiliation(s)
- Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada.
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, University of Toronto, Toronto, Ontario Canada
| | - K Liang Zeng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Aimee Chan
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Pejman J Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Myrehaug S, Ng S, Hallet J, Singh S. Not for NEN? Role of External Beam Radiation for Neuroendocrine Neoplasms. Int J Radiat Oncol Biol Phys 2023; 117:785-786. [PMID: 37838446 DOI: 10.1016/j.ijrobp.2023.02.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/08/2023] [Accepted: 02/12/2023] [Indexed: 10/16/2023]
Affiliation(s)
- Sten Myrehaug
- Susan Leslie Clinic for Neuroendocrine Tumors, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sylvia Ng
- Susan Leslie Clinic for Neuroendocrine Tumors, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Julie Hallet
- Susan Leslie Clinic for Neuroendocrine Tumors, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Simron Singh
- Susan Leslie Clinic for Neuroendocrine Tumors, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Ontario, Canada
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Metser U, Ezzat S, Singh S, Myrehaug S, Rahimi S, Gray D, Singnurkar A. 68 Ga-DOTATATE PET/CT in the Initial Diagnosis of Patients With Clinical, Imaging, and/or Biochemical Suspicion of a Neuroendocrine Tumor. Clin Nucl Med 2023; 48:933-936. [PMID: 37703482 DOI: 10.1097/rlu.0000000000004829] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
PURPOSE The aim of this study was to assess the yield of somatostatin receptor PET in patients with clinical, imaging, and/or biochemical suspicion of a neuroendocrine tumor (NET). PATIENTS AND METHODS This analysis includes patients referred for the initial diagnosis of an unconfirmed NET, as part of a prospective, single-arm registry study (NCT03873870) assessing the utility of 68 Ga-DOTATATE PET/CT in the management of NETs. Inclusion criteria to this cohort consisted of elevated biomarkers and/or clinical presentation suspicious for a NET, with negative conventional cross-sectional imaging, or presence of a lesion suspicious for a NET on conventional imaging, not amenable for biopsy. Patients with histological confirmation of a NET were excluded. RESULTS There were 220 patients included between April 2019 and March 2022 with a mean age ± SD of 59.5 ± 16.1 years with biochemical, morphological, and/or clinical suspicion of a NET. Overall, 132/220 patients (60%) had a positive 68 Ga-DOTATATE PET/CT. 68 Ga-DOTATATE PET/CT confirmed a type 2 somatostatin receptor overexpressing tumor in 123/171 (71.9%) of patients with a radiographically suspicious abnormality. The positivity rate for pancreatic, small bowel/mesenteric, adrenal, and other sites was 78/96 (81.2%), 38/57 (66.7%), 7/7 (100%), and 1/11 (9.1%), respectively. 68 Ga-DOTATATE PET/CT was positive in 9/49 (18.4%) of those with a biochemical and/or clinical suspicion of a NET. CONCLUSIONS 68 Ga-DOTATATE PET/CT is positive in nearly 3 of 4 patients with morphological suspicion of a NET, with the highest yield in those with pancreatic and small bowel or mesenteric masses, and in approximately 1 of 6 patients with biochemical and/or clinical suspicion of a NET.
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Affiliation(s)
- Ur Metser
- From the Departments of Medical Imaging
| | - Shereen Ezzat
- Medicine, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto
| | | | - Sten Myrehaug
- Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto
| | | | - Daryl Gray
- Department of Surgery, London Health Sciences Centre-Victoria Hospital, Western University, London
| | - Amit Singnurkar
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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Lawrence LSP, Chan RW, Chen H, Stewart J, Ruschin M, Theriault A, Myrehaug S, Detsky J, Maralani PJ, Tseng CL, Soliman H, Jane Lim-Fat M, Das S, Stanisz GJ, Sahgal A, Lau AZ. Diffusion-weighted imaging on an MRI-linear accelerator to identify adversely prognostic tumour regions in glioblastoma during chemoradiation. Radiother Oncol 2023; 188:109873. [PMID: 37640160 DOI: 10.1016/j.radonc.2023.109873] [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: 04/21/2023] [Revised: 07/12/2023] [Accepted: 08/20/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND AND PURPOSE Survival in glioblastoma might be extended by escalating the radiotherapy dose to treatment-resistant tumour and adapting to tumour changes. Diffusion-weighted imaging (DWI) on MRI-linear accelerators (MR-Linacs) could be used to identify a dose escalation target, but its prognostic value must be demonstrated. The purpose of this study was to determine whether MR-Linac DWI can assess treatment response in glioblastoma and whether changes in DWI show greater prognostic value than changes in the contrast-enhancing gross tumour volume (GTV). MATERIALS AND METHODS Seventy-five patients with glioblastoma were treated with chemoradiotherapy, of which 32 were treated on a 1.5 T MRI-linear accelerator (MR-Linac). Patients were imaged with simulation MRI scanners (MR-sim) at treatment planning and weeks 2, 4, and 10 after treatment start. Twenty-eight patients had additional MR-Linac DWI sequences. Cox modelling was used to evaluate the correlation of overall and progression-free survival (OS and PFS) with clinical variables and volumetric changes in the GTV and low-ADC regions (ADC < 1.25 µm2/ms within GTV). RESULTS In total, 479 MR-Linac DWI and 289 MR-sim DWI datasets were analyzed. MR-Linac low-ADC changes between weeks 2 and 5 inclusive were prognostic for OS (hazard ratio lower limits ≥ 1.2, p-values ≤ 0.02). MR-sim low-ADC changes showed greater correlation with OS and PFS than GTV changes (e.g., OS hazard ratio at week 2 was 3.4 (p <0.001) for low-ADC versus 2.0 (p = 0.022) for GTV). CONCLUSION MR-Linac DWI can measure low-ADC tumour volumes that correlate with OS and PFS better than contrast-enhancing GTV. Low-ADC regions could serve as dose escalation targets.
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Affiliation(s)
| | - Rachel W Chan
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - James Stewart
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Aimee Theriault
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman J Maralani
- Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mary Jane Lim-Fat
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sunit Das
- Keenan Chair in Surgery, St. Michael's Hospital, Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
| | - Greg J Stanisz
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada; Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Angus Z Lau
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
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9
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Moore-Palhares D, Sahgal A, Zeng KL, Myrehaug S, Tseng CL, Detsky J, Chen H, Ruschin M, Atenafu EG, Wilson J, Larouche J, da Costa L, Maralani PJ, Soliman H. 30 Gy in 4 Stereotactic Body Radiotherapy Fractions for Complex Spinal Metastases: Mature Outcomes Supporting This Novel Regimen. Neurosurgery 2023; 93:813-823. [PMID: 37074052 DOI: 10.1227/neu.0000000000002498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/23/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND AND OBJECTIVES We designed a 30 Gy in 4 fractions stereotactic body radiotherapy protocol, as an alternative option to our standard 2-fraction approach, for primarily large volume, multilevel, or previously radiated spinal metastases. We report imaging-based outcomes of this novel fractionation scheme. METHODS The institutional database was reviewed to identify all patients who underwent 30 Gy/4 fractions from 2010 to 2021. Primary outcomes were magnetic resonance-based vertebral compression fracture (VCF) and local failure per treated vertebral segment. RESULTS We reviewed 245 treated segments in 116 patients. The median age was 64 years (range, 24-90). The median number of consecutive segments within the treatment volume was 2 (range, 1-6), and the clinical target volume (CTV) was 126.2 cc (range, 10.4-863.5). Fifty-four percent had received at least 1 previous course of radiotherapy, and 31% had previous spine surgery at the treated segment. The baseline Spinal Instability Neoplastic Score was stable, potentially unstable, and unstable for 41.6%, 51.8%, and 6.5% of segments, respectively. The cumulative incidence of local failure was 10.7% (95% CI 7.1-15.2) at 1 year and 16% (95% CI 11.5-21.2) at 2 years. The cumulative incidence of VCF was 7.3% (95% CI 4.4-11.2) at 1 year and 11.2% (95% CI 7.5-15.8) at 2 years. On multivariate analysis, age ≥68 years ( P = .038), CTV volume ≥72 cc ( P = .021), and no previous surgery ( P = .021) predicted an increased risk of VCF. The risk of VCF for CTV volumes <72 cc/≥72 cc was 1.8%/14.6% at 2 years. No case of radiation-induced myelopathy was observed. Five percent of patients developed plexopathy. CONCLUSION 30 Gy in 4 fractions was safe and efficacious despite the population being at increased risk of toxicity. The lower risk of VCF in previously stabilized segments highlights the potential for a multimodal treatment approach for complex metastases, especially for those with a CTV volume of ≥72 cc.
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Affiliation(s)
- Daniel Moore-Palhares
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - K Liang Zeng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, University of Toronto, Toronto , Ontario , Canada
| | - Jeff Wilson
- Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto , Ontario , Canada
| | - Jeremie Larouche
- Division of Orthopedic Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Leodante da Costa
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Pejman Jabehdar Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Ontario , Canada
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10
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Heyn C, Moody AR, Tseng CL, Wong E, Kang T, Kapadia A, Howard P, Maralani P, Symons S, Goubran M, Martel A, Chen H, Myrehaug S, Detsky J, Sahgal A, Soliman H. Segmentation of Brain Metastases Using Background Layer Statistics (BLAST). AJNR Am J Neuroradiol 2023; 44:1135-1143. [PMID: 37735088 PMCID: PMC10549939 DOI: 10.3174/ajnr.a7998] [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: 05/24/2023] [Accepted: 08/16/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND AND PURPOSE Accurate segmentation of brain metastases is important for treatment planning and evaluating response. The aim of this study was to assess the performance of a semiautomated algorithm for brain metastases segmentation using Background Layer Statistics (BLAST). MATERIALS AND METHODS Nineteen patients with 48 parenchymal and dural brain metastases were included. Segmentation was performed by 4 neuroradiologists and 1 radiation oncologist. K-means clustering was used to identify normal gray and white matter (background layer) in a 2D parameter space of signal intensities from postcontrast T2 FLAIR and T1 MPRAGE sequences. The background layer was subtracted and operator-defined thresholds were applied in parameter space to segment brain metastases. The remaining voxels were back-projected to visualize segmentations in image space and evaluated by the operators. Segmentation performance was measured by calculating the Dice-Sørensen coefficient and Hausdorff distance using ground truth segmentations made by the investigators. Contours derived from the segmentations were evaluated for clinical acceptance using a 5-point Likert scale. RESULTS The median Dice-Sørensen coefficient was 0.82 for all brain metastases and 0.9 for brain metastases of ≥10 mm. The median Hausdorff distance was 1.4 mm. Excellent interreader agreement for brain metastases volumes was found with an intraclass correlation coefficient = 0.9978. The median segmentation time was 2.8 minutes/metastasis. Forty-five contours (94%) had a Likert score of 4 or 5, indicating that the contours were acceptable for treatment, requiring no changes or minor edits. CONCLUSIONS We show accurate and reproducible segmentation of brain metastases using BLAST and demonstrate its potential as a tool for radiation planning and evaluating treatment response.
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Affiliation(s)
- Chris Heyn
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
- Sunnybrook Research Institute (C.H., A.R.M., M.G., A.M.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Alan R Moody
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
- Sunnybrook Research Institute (C.H., A.R.M., M.G., A.M.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology (C.-L.T., H.C., S.M., J.D., A.S., H.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Erin Wong
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Tony Kang
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Anish Kapadia
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Peter Howard
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Pejman Maralani
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Sean Symons
- From the Department of Medical Imaging (C.H., A.R.M., E.W., T.K., A.K., P.H., P.M., S.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Maged Goubran
- Sunnybrook Research Institute (C.H., A.R.M., M.G., A.M.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
- Department of Medical Biophysics (M.G., A.M.), University of Toronto, Toronto, Ontario, Canada
| | - Anne Martel
- Sunnybrook Research Institute (C.H., A.R.M., M.G., A.M.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
- Department of Medical Biophysics (M.G., A.M.), University of Toronto, Toronto, Ontario, Canada
| | - Hanbo Chen
- Department of Radiation Oncology (C.-L.T., H.C., S.M., J.D., A.S., H.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology (C.-L.T., H.C., S.M., J.D., A.S., H.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology (C.-L.T., H.C., S.M., J.D., A.S., H.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology (C.-L.T., H.C., S.M., J.D., A.S., H.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology (C.-L.T., H.C., S.M., J.D., A.S., H.S.), Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
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11
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Singh S, Hope TA, Bergsland EB, Bodei L, Bushnell DL, Chan JA, Chasen BR, Chauhan A, Das S, Dasari A, Del Rivero J, El-Haddad G, Goodman KA, Halperin DM, Lewis MA, Lindwasser OW, Myrehaug S, Raj NP, Reidy-Lagunes DL, Soares HP, Strosberg JR, Kohn EC, Kunz PL. Consensus report of the 2021 National Cancer Institute neuroendocrine tumor clinical trials planning meeting. J Natl Cancer Inst 2023; 115:1001-1010. [PMID: 37255328 PMCID: PMC10483264 DOI: 10.1093/jnci/djad096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 10/24/2022] [Revised: 05/01/2023] [Accepted: 05/11/2023] [Indexed: 06/01/2023] Open
Abstract
Important progress has been made over the last decade in the classification, imaging, and treatment of neuroendocrine neoplasm (NENs), with several new agents approved for use. Although the treatment options available for patients with well-differentiated neuroendocrine tumors (NETs) have greatly expanded, the rapidly changing landscape has presented several unanswered questions about how best to optimize, sequence, and individualize therapy. Perhaps the most important development over the last decade has been the approval of 177Lu-DOTATATE for treatment of gastroenteropancreatic-NETs, raising questions around optimal sequencing of peptide receptor radionuclide therapy (PRRT) relative to other therapeutic options, the role of re-treatment with PRRT, and whether PRRT can be further optimized through use of dosimetry among other approaches. The NET Task Force of the National Cancer Institute GI Steering Committee convened a clinical trial planning meeting in 2021 with multidisciplinary experts from academia, the federal government, industry, and patient advocates to develop NET clinical trials in the era of PRRT. Key clinical trial recommendations for development included 1) PRRT re-treatment, 2) PRRT and immunotherapy combinations, 3) PRRT and DNA damage repair inhibitor combinations, 4) treatment for liver-dominant disease, 5) treatment for PRRT-resistant disease, and 6) dosimetry-modified PRRT.
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Affiliation(s)
- Simron Singh
- Department of Medicine, Sunnybrook Health Sciences Centre, Odette Cancer Center, University of Toronto, Toronto, ON, Canada
| | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Emily B Bergsland
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Lisa Bodei
- Department of Radiology, Memorial Sloan Kettering Cancer Center, Molecular Imaging and Therapy Service, New York, NY, USA
| | | | - Jennifer A Chan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Beth R Chasen
- Department of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aman Chauhan
- Department of Medicine, University of Miami Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Satya Das
- Late-Stage Development, Oncology R&D AstraZeneca, Gaithersburg, MD, USA
| | - Arvind Dasari
- Department of GI Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaydira Del Rivero
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ghassan El-Haddad
- Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Karyn A Goodman
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY, USA
| | - Daniel M Halperin
- Department of GI Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mark A Lewis
- Department of Medicine, Intermountain Health, Salt Lake City, UT, USA
| | - O Wolf Lindwasser
- Coordinating Center for Clinical Trials, National Cancer Institute, Bethesda, MD, USA
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, Odette Cancer Center, Toronto, ON, Canada
| | - Nitya P Raj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Heloisa P Soares
- Department of Medicine, Huntsman Cancer Institute at University of Utah, Salt Lake City, UT, USA
| | | | | | - Pamela L Kunz
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
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12
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Id Said B, Soliman H, Moravan V, Myrehaug S, Tseng CL, Detsky J, Sahgal A, Warner E, Jerzak KJ. Patterns of treatment and outcomes of patients with brain-only metastatic breast cancer. J Neurooncol 2023; 164:437-445. [PMID: 37634217 DOI: 10.1007/s11060-023-04421-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/09/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND We characterized the risk factors and survival of metastatic breast cancer (MBC) patients with brain metastases (BrM) as the first and only site of disease in a large, retrospective cohort. METHODS MBC patients treated for BrM with radiation at a quaternary institution between 2005 and 2019 were identified. MBC patients with BrM but without concurrent extracranial metastases (ECM) or leptomeningeal disease (LMD) were classified as brain-only. Factors associated with brain-only MBC, brain-specific progression free survival (bsPFS) and overall survival (OS) were investigated. RESULTS A total of 691 patients with MBC and BrM were analyzed. Among them, 67 patients (9.7%, n = 67/691) presented with brain-only MBC without concurrent ECM/LMD. Within this subgroup, 40 patients (5.8%, n = 40/691) remained free of any ECM or LMD, while 17 patients (2.5%) developed LMD, and 10 patients (1.4%%) developed ECM with a median follow-up of 8 months (IQR 2-35). Patients with brain-only MBC were more likely to have a single BrM [OR 3.41 (1.62-7.19), p = 0.001] and either HER2+ [OR 3.3 (1.13-9.65), p = 0.03] or TNBC [OR 4.09 (1.42-11.74), p = 0.009] subtypes. Patients who presented with brain-only MBC also had significantly longer OS [HR 0.45, (0.22-0.86), p = 0.008] and a trend toward longer bsPFS [HR 0.67 (0.44-1.03), p = 0.05] compared to those with concurrent ECM/LMD. CONCLUSION Patients with brain-only MBC had a longer bsPFS and OS than those with ECM. Patients with HER2+ and TNBC were more likely to have brain-only disease compared to those with HR+/HER2- MBC.
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Affiliation(s)
- Badr Id Said
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | | | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Ellen Warner
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Katarzyna J Jerzak
- Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.
- Department of Medicine, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada.
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13
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Jabehdar Maralani P, Stewart J, Hiremath S, Lawrence L, Chan R, Lau A, Chen H, Chan A, Zeng LK, Tseng CL, Myrehaug S, Soliman H, Detsky J, Heyn C, Lim Fat M, Lipsman N, Sahgal A. Relationship between apparent diffusion coefficient and survival as a function of distance from gross tumor volume on radiation planning MRI in newly diagnosed glioblastoma. J Neurooncol 2023; 164:597-605. [PMID: 37707752 DOI: 10.1007/s11060-023-04440-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 08/26/2023] [Indexed: 09/15/2023]
Abstract
PURPOSE To investigate the changes in apparent diffusion coefficient (ADC) within incrementally-increased margins beyond the gross tumor volume (GTV) on post-operative radiation planning MRI and their prognostic utility in glioblastoma. METHODS Radiation planning MRIs of adult patients with newly diagnosed glioblastoma from 2017 to 2020 were assessed. The ADC values were normalized to contralateral normal white matter (nADC). Using 1 mm isotropic incremental margin increases from the GTV, the nADC values were calculated at each increment. Age, ECOG performance status, extent of resection and MGMT promoter methylation status were obtained from medical records. Using univariate and multivariable Cox regression analysis, association of nADC to progression-free and overall survival (PFS, OS) was assessed at each increment. RESULTS Seventy consecutive patients with mean age of 53.6 ± 10.3 years, were evaluated. The MGMT promoter was methylated in 31 (44.3%), unmethylated in 36 (51.6%) and unknown in 3 (4.3%) patients. 11 (16%) underwent biopsy, 41 (44%) subtotal resection and 18 (26%) gross total resection. For each 1 mm increase in distance from GTV, the nADC decreased by 0.16% (p < 0.0001). At 1-5 mm increment, the nADC was associated with OS (p < 0.01). From 6 to 11 mm increment the nADC was associated with OS with the p-value gradually increasing from 0.018 to 0.046. nADC was not associated with PFS. CONCLUSION The nADC values at 1-11 mm increments from the GTV margin were associated with OS. Future prospective multicenter studies are needed to validate the findings and to pave the way for the utilization of ADC for margin reduction in radiation planning.
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Affiliation(s)
- Pejman Jabehdar Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
| | - James Stewart
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Shivaprakash Hiremath
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Liam Lawrence
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Rachel Chan
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Angus Lau
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Aimee Chan
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Liang K Zeng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Chinthaka Heyn
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - MaryJane Lim Fat
- Division of Neurology, Department of Medicine, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Nir Lipsman
- Division of Neurosurgery, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
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14
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Eads JR, Halfdanarson TR, Asmis T, Bellizzi AM, Bergsland EK, Dasari A, El-Haddad G, Frumovitz M, Meyer J, Mittra E, Myrehaug S, Nakakura E, Raj N, Soares HP, Untch B, Vijayvergia N, Chan JA. Expert Consensus Practice Recommendations of the North American Neuroendocrine Tumor Society for the management of high grade gastroenteropancreatic and gynecologic neuroendocrine neoplasms. Endocr Relat Cancer 2023; 30:e220206. [PMID: 37184955 PMCID: PMC10388681 DOI: 10.1530/erc-22-0206] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 05/15/2023] [Indexed: 05/16/2023]
Abstract
High-grade neuroendocrine neoplasms are a rare disease entity and account for approximately 10% of all neuroendocrine neoplasms. Because of their rarity, there is an overall lack of prospectively collected data available to advise practitioners as to how best to manage these patients. As a result, best practices are largely based on expert opinion. Recently, a distinction was made between well-differentiated high-grade (G3) neuroendocrine tumors and poorly differentiated neuroendocrine carcinomas, and with this, pathologic details, appropriate imaging practices and treatment have become more complex. In an effort to provide practitioners with the best guidance for the management of patients with high-grade neuroendocrine neoplasms of the gastrointestinal tract, pancreas, and gynecologic system, the North American Neuroendocrine Tumor Society convened a panel of experts to develop a set of recommendations and a treatment algorithm that may be used by practitioners for the care of these patients. Here, we provide consensus recommendations from the panel on pathology, imaging practices, management of localized disease, management of metastatic disease and surveillance and draw key distinctions as to the approach that should be utilized in patients with well-differentiated G3 neuroendocrine tumors vs poorly differentiated neuroendocrine carcinomas.
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Affiliation(s)
- Jennifer R Eads
- Division of Hematology and Oncology, Abramson Cancer Center, University of Pennsylvania, Pennsylvania, USA
| | | | - Tim Asmis
- Division of Medical Oncology, University of Ottawa, Ottawa, Ontario, Canada
| | - Andrew M Bellizzi
- Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Emily K Bergsland
- Department of Medicine, University of California, San Francisco, California, USA
| | - Arvind Dasari
- Division of Gastrointestinal Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ghassan El-Haddad
- Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Michael Frumovitz
- Division of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Joshua Meyer
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
| | - Erik Mittra
- Division of Molecular Imaging and Therapy, Oregon Health & Science University, Portland, Oregon, USA
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Eric Nakakura
- Department of Surgery, University of California, San Francisco, California, USA
| | - Nitya Raj
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Heloisa P Soares
- Division of Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Salt Lake City, Utah, USA
| | - Brian Untch
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Namrata Vijayvergia
- Department of Hematology and Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
| | - Jennifer A Chan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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15
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Moore-Palhares D, Chen H, Keith J, Wang M, Myrehaug S, Tseng CL, Detsky J, Perry J, Lim-Fat MJ, Heyn C, Maralani P, Lipsman N, Das S, Sahgal A, Soliman H. Correction to: Re-irradiation for recurrent high-grade glioma: an analysis of prognostic factors for survival and predictors of radiation necrosis. J Neurooncol 2023; 163:553. [PMID: 37378836 DOI: 10.1007/s11060-023-04364-w] [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: 06/29/2023]
Affiliation(s)
- Daniel Moore-Palhares
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Julia Keith
- Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Michael Wang
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - James Perry
- Division of Neurology, Department of Medicine Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Mary Jane Lim-Fat
- Division of Neurology, Department of Medicine Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Chris Heyn
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Nir Lipsman
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Sunit Das
- Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada.
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16
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Moore-Palhares D, Chen H, Keith J, Wang M, Myrehaug S, Tseng CL, Detsky J, Perry J, Lim-Fat MJ, Heyn C, Maralani P, Lipsman N, Das S, Sahgal A, Soliman H. Re-irradiation for recurrent high-grade glioma: an analysis of prognostic factors for survival and predictors of radiation necrosis. J Neurooncol 2023; 163:541-551. [PMID: 37256526 DOI: 10.1007/s11060-023-04340-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 05/11/2023] [Indexed: 06/01/2023]
Abstract
PURPOSE Recurrent high-grade glioma (rHGG) is a heterogeneous population, and the ideal patient selection for re-irradiation (re-RT) has yet to be established. This study aims to identify prognostic factors for rHGG patients treated with re-RT. METHODS We retrospectively reviewed consecutive adults with rHGG who underwent re-RT from 2009 to 2020 from our institutional database. The primary objective was overall survival (OS). Secondary endpoints included prognostic factors for early death (< 6 months after re-RT) and predictors of radiation necrosis (RN). RESULTS For the 79 patients identified, the median OS after re-RT was 9.9 months (95% CI 8.3-11.6). On multivariate analyses, re-resection at progression (HR 0.56, p = 0.027), interval from primary treatment to first progression ≥ 16.3 months (HR 0.61, p = 0.034), interval from primary treatment to re-RT ≥ 23.9 months (HR 0.35, p < 0.001), and re-RT PTV volume < 112 cc (HR 0.27, p < 0.001) were prognostic for improved OS. Patients who had unmethylated-MGMT tumours (OR 12.4, p = 0.034), ≥ 3 prior systemic treatment lines (OR 29.1, p = 0.022), interval to re-RT < 23.9 months (OR 9.0, p = 0.039), and re-RT PTV volume ≥ 112 cc (OR 17.8, p = 0.003) were more likely to die within 6 months of re-RT. The cumulative incidence of RN was 11.4% (95% CI 4.3-18.5) at 12 months. Concurrent bevacizumab use (HR < 0.001, p < 0.001) and cumulative equivalent dose in 2 Gy fractions (EQD2, α/β = 2) < 99 Gy2 (HR < 0.001, p < 0.001) were independent protective factors against RN. Re-RT allowed for less corticosteroid dependency. Sixty-six percent of failures after re-RT were in-field. CONCLUSION We observe favorable OS rates following re-RT and identified prognostic factors, including methylation status, that can assist in patient selection and clinical trial design. Concurrent use of bevacizumab mitigated the risk of RN.
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Affiliation(s)
- Daniel Moore-Palhares
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Julia Keith
- Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Michael Wang
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - James Perry
- Division of Neurology, Department of Medicine Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Mary Jane Lim-Fat
- Division of Neurology, Department of Medicine Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Chris Heyn
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Nir Lipsman
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Sunit Das
- Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada.
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17
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Nguyen EK, Ruschin M, Zhang B, Soliman H, Myrehaug S, Detsky J, Chen H, Sahgal A, Tseng CL. Stereotactic body radiotherapy for spine metastases: a review of 24 Gy in 2 daily fractions. J Neurooncol 2023; 163:15-27. [PMID: 37155133 DOI: 10.1007/s11060-023-04327-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 04/24/2023] [Indexed: 05/10/2023]
Abstract
PURPOSE Stereotactic body radiotherapy (SBRT) has proven to be a highly effective treatment for selected patients with spinal metastases. Randomized evidence shows improvements in complete pain response rates and local control with lower retreatment rates favoring SBRT, compared to conventional external beam radiotherapy (cEBRT). While there are several reported dose-fractionation schemes for spine SBRT, 24 Gy in 2 fractions has emerged with Level 1 evidence providing an excellent balance between minimizing treatment toxicity while respecting patient convenience and financial strain. METHODS We provide an overview of the 24 Gy in 2 SBRT fraction regimen for spine metastases, which was developed at the University of Toronto and tested in an international Phase 2/3 randomized controlled trial. RESULTS The literature summarizing global experience with 24 Gy in 2 SBRT fractions suggests 1-year local control rates ranging from 83-93.9%, and 1-year rates of vertebral compression fracture ranging from 5.4-22%. Reirradiation of spine metastases that failed prior cEBRT is also feasible with 24 Gy in 2 fractions, and 1-year local control rates range from 72-86%. Post-operative spine SBRT data are limited but do support the use of 24 Gy in 2 fractions with reported 1-year local control rates ranging from 70-84%. Typically, the rates of plexopathy, radiculopathy and myositis are under 5% in those series reporting mature follow up, with no cases of radiation myelopathy (RM) reported in the de novo setting when the spinal cord avoidance structure is limited to 17 Gy in 2 fractions. However, re-irradiation RM has been observed following 2 fraction SBRT. More recently, 2-fraction dose escalation with 28 Gy, with a higher dose constraint to the critical neural tissues, has been reported suggesting improved rates of local control. This regimen may be important in those patients with radioresistant histologies, high grade epidural disease, and/or paraspinal disease. CONCLUSION The dose-fractionation of 24 Gy in 2 fractions is well-supported by published literature and is an ideal starting point for centers looking to establish a spine SBRT program.
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Affiliation(s)
- Eric K Nguyen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Beibei Zhang
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
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18
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Bateni SB, Coburn NG, Law C, Singh S, Myrehaug S, Assal A, Hallet J. Second primary cancers and survival among neuroendocrine tumor patients. Endocr Relat Cancer 2023:ERC-22-0337. [PMID: 37184947 DOI: 10.1530/erc-22-0337] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 05/15/2023] [Indexed: 05/16/2023]
Abstract
There is an increased risk of second primary cancers (SPCs) after neuroendocrine tumor (NET) diagnosis. The clinical significance of SPCs in this population is unknown. The purpose of this study was to evaluate the association between SPCs after NET diagnosis and survival. We performed a population-based, retrospective cohort study of NET patients (gastrointestinal, pancreatic, or lung primary) from 2000-2016 using the Surveillance, Epidemiology, and End Results (SEER) database. Cox regression models assessed the association between SPCs and NET-specific (NET-SS), cancer-specific (CSS), and overall survival (OS). Of 58,553 NET patients, 7.9% experienced a SPC. SPCs were associated with worse OS (HR 2.14, 95%CI 1.94-2.36) and CSS (HR 2.31, 95%CI 2.06-2.59) with no difference in NET-SS (HR 1.04, 95%CI 0.87-1.23). Stratified analyses by histologic grade showed similar results for well and moderately differentiated NETs, but no difference in OS or CSS for poorly differentiated NETs (p>0.05). In stratified analyses by NET site, SPCs were associated with worse OS (HR 3.41, 95%CI 3.01-3.87) and CSS (HR 4.96, 95%CI 4.28-5.74) in gastrointestinal NETs and worse OS (HR 1.25, 95%CI 1.03-1.52) with no difference in CSS (HR 1.08, 95%CI 0.85-1.36) in lung NETs. SPCs were not associated with a difference in OS or CSS in pancreatic NETs (p>0.05). In conclusion, SPCs after NETs were associated with inferior OS and CSS compared to no SPC, but were not associated with NET-SS. These data highlight the need for long-term follow-up in NETs to include detection of SPCs to ensure early diagnosis and timely management.
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Affiliation(s)
- Sarah B Bateni
- S Bateni, Surgery, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, 35294, United States
| | | | - Calvin Law
- C Law, Surgery, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Simron Singh
- S Singh, Medicine, Temetry Faculty of Medicine, Toronto, Canada
| | - Sten Myrehaug
- S Myrehaug, Radiation Oncology, Odette Cancer Centre, Toronto, Canada
| | - Angela Assal
- A Assal, Medicine, University of Toronto, Toronto, Canada
| | - Julie Hallet
- J Hallet, Surgery , University of Toronto, Toronto, Canada
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19
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Yan M, Lee M, Myrehaug S, Tseng CL, Detsky J, Chen H, Das S, Yeboah C, Lipsman N, Costa LD, Holden L, Heyn C, Maralani P, Ruschin M, Sahgal A, Soliman H. Hypofractionated stereotactic radiosurgery (HSRS) as a salvage treatment for brain metastases failing prior stereotactic radiosurgery (SRS). J Neurooncol 2023; 162:119-128. [PMID: 36914878 DOI: 10.1007/s11060-023-04265-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 02/09/2023] [Indexed: 03/14/2023]
Abstract
INTRODUCTION Various treatment options exist to salvage stereotactic radiosurgery (SRS) failures for brain metastases, including repeat SRS and hypofractionated SRS (HSRS). Our objective was to report outcomes specific to salvage HSRS for brain metastases that failed prior HSRS/SRS. METHODS Patients treated with HSRS to salvage local failures (LF) following initial HSRS/SRS, between July 2010 and April 2020, were retrospectively reviewed. The primary outcomes were the rates of LF, radiation necrosis (RN), and symptomatic radiation necrosis (SRN). Univariable (UVA) and multivariable (MVA) analyses using competing risk regression were performed to identify predictive factors for each endpoint. RESULTS 120 Metastases in 91 patients were identified. The median clinical follow up was 13.4 months (range 1.1-111.1), and the median interval between SRS courses was 13.1 months (range 3.0-56.5). 115 metastases were salvaged with 20-35 Gy in 5 fractions and the remaining five with a total dose ranging from 20 to 24 Gy in 3-fractions. 67 targets (56%) were postoperative cavities. The median re-treatment target volume and biological effective dose (BED10) was 9.5 cc and 37.5 Gy, respectively. The 6- and 12- month LF rates were 18.9% and 27.7%, for RN 13% and 15.6%, and for SRN were 6.1% and 7.0%, respectively. MVA identified larger re-irradiation volume (hazard ratio [HR] 1.02, p = 0.04) and shorter interval between radiosurgery courses (HR 0.93, p < 0.001) as predictors of LF. Treatment of an intact target was associated with a higher risk of RN (HR 2.29, p = 0.04). CONCLUSION Salvage HSRS results in high local control rates and toxicity rates that compare favorably to those single fraction SRS re-irradiation experiences reported in the literature.
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Affiliation(s)
- Michael Yan
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Minha Lee
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Sunit Das
- Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Collins Yeboah
- Department of Medical Physics, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Nir Lipsman
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Leodante Da Costa
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Lori Holden
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Chinthaka Heyn
- Division of Radiology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Pejman Maralani
- Division of Radiology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Mark Ruschin
- Department of Medical Physics, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada.
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20
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MacLean MA, Georgiopoulos M, Charest-Morin R, Goodwin CR, Laufer I, Dea N, Shin JH, Gokaslan ZL, Rhines LD, O'Toole JE, Sciubba DM, Fehlings MG, Stephens BF, Bettegowda C, Myrehaug S, Disch AC, Netzer C, Kumar N, Sahgal A, Germscheid NM, Weber MH. Perception of frailty in spinal metastatic disease: international survey of the AO Spine community. J Neurosurg Spine 2023:1-11. [PMID: 36883617 DOI: 10.3171/2023.1.spine221433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/26/2023] [Indexed: 03/06/2023]
Abstract
OBJECTIVE Frailty has not been clearly defined in the context of spinal metastatic disease (SMD). Given this, the objective of this study was to better understand how members of the international AO Spine community conceptualize, define, and assess frailty in SMD. METHODS The AO Spine Knowledge Forum Tumor conducted an international cross-sectional survey of the AO Spine community. The survey was developed using a modified Delphi technique and was designed to capture preoperative surrogate markers of frailty and relevant postoperative clinical outcomes in the context of SMD. Responses were ranked using weighted averages. Consensus was defined as ≥ 70% agreement among respondents. RESULTS Results were analyzed for 359 respondents, with an 87% completion rate. Study participants represented 71 countries. In the clinical setting, most respondents informally assess frailty and cognition in patients with SMD by forming a general perception based on clinical condition and patient history. Consensus was attained among respondents regarding the association between 14 preoperative clinical variables and frailty. Severe comorbidities, extensive systemic disease burden, and poor performance status were most associated with frailty. Severe comorbidities associated with frailty included high-risk cardiopulmonary disease, renal failure, liver failure, and malnutrition. The most clinically relevant outcomes were major complications, neurological recovery, and change in performance status. CONCLUSIONS The respondents recognized that frailty is important, but they most commonly evaluate it based on general clinical impressions rather than using existing frailty tools. The authors identified numerous preoperative surrogate markers of frailty and postoperative clinical outcomes that spine surgeons perceived as most relevant in this population.
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Affiliation(s)
- Mark A MacLean
- 1Department of Surgery, Division of Neurosurgery, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Raphaële Charest-Morin
- 3Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - C Rory Goodwin
- 4Department of Neurosurgery, Spine Division, Duke University, Durham, North Carolina
| | - Ilya Laufer
- 5Department of Neurosurgery, New York University Langone Health, New York, New York
| | - Nicolas Dea
- 3Spine Surgery Institute, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - John H Shin
- 6Department of Neurosurgery, Massachusetts General Hospital, Harvard University, Boston, Massachusetts
| | - Ziya L Gokaslan
- 7Department of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Laurence D Rhines
- 8Department of Neurosurgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John E O'Toole
- 9Department of Neurosurgery, Rush University, Chicago, Illinois
| | - Daniel M Sciubba
- 10Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, New York
| | - Michael G Fehlings
- 11Department of Surgery, Division of Neurosurgery and Spine Program, University of Toronto, University Health Network, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Byron F Stephens
- 12Department of Orthopaedic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Chetan Bettegowda
- 13Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sten Myrehaug
- 14Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Alexander C Disch
- 15Department of Orthopaedics, University Hospital Carl Gustav Carus at the TU Dresden, Dresden, Germany
| | - Cordula Netzer
- 16Department of Spine Surgery, University Hospital of Basel, Basel, Switzerland
| | - Naresh Kumar
- 17Department of Orthopedic Surgery, National University Health System, Singapore; and
| | - Arjun Sahgal
- 14Department of Radiation Oncology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | | | - Michael H Weber
- 2Department of Surgery, Spine Surgery Program, McGill University, Montréal, Québec, Canada
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21
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Burgess L, Zeng KL, Myrehaug S, Soliman H, Tseng CL, Detsky J, Chen H, Moore-Palhares D, Witiw CD, Zhang B, Maralani P, Sahgal A. Stereotactic Body Radiotherapy for Posterior Element Only Spinal Metastases: A First Report on Outcomes and Validation of Recommended Clinical Target Volume Delineation Practice. Pract Radiat Oncol 2023:S1879-8500(23)00063-2. [PMID: 36997023 DOI: 10.1016/j.prro.2023.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/27/2023] [Accepted: 03/04/2023] [Indexed: 03/30/2023]
Abstract
PURPOSE Spine stereotactic body radiotherapy (SBRT) results in improved local control and pain response compared to conventional external beam radiotherapy. Consensus exists stipulating that MRI-based delineation of the clinical target volume (CTV) is critical and based on spine segment sector involvement. The applicability of contouring guidelines to metastases involving the posterior elements alone remains to be validated, and the purpose of this report was to determine the patterns of failure and safety of treating posterior element metastases when the vertebral body (VB) was intentionally excluded from the CTV. METHODS AND MATERIALS A retrospective review of a prospectively maintained database of 605 patients and 1412 spine segments treated with spine SBRT was performed. Only treated segments involving the posterior elements alone were included for the analyses. The primary outcome was local failure, as per SPINO recommendations, and secondary outcomes included patterns of failure, toxicities. RESULTS 24/605 patients and 31/1412 segments were treated to the posterior elements only. Local failure occurred in 11/31 segments. The cumulative rate of local recurrence was 9.7% at 12 months and 30.8% at 24 months. Amongst local failures, the most common histologies were renal cell carcinoma (36.4%) and non-small cell lung cancer (36.4%) and 73% had baseline paraspinal disease extension. 6/11 (54.5%) failed exclusively within treated CTV sectors and 5/11 (45.5%) with both treated and adjacent untreated sectors. Four of these 5 cases had recurrent disease extending into the VB, but no failure was observed exclusively within the VB. CONCLUSIONS Posterior element alone metastases are rare. Our analyses support SBRT consensus contouring guidelines such that the VB can be excluded from CTV in spinal metastases confined to the posterior elements.
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22
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Yan M, Holden L, Detsky J, Tseng CL, Soliman H, Myrehaug S, Husain Z, Das S, Yeboah C, Lipsman N, Ruschin M, Sahgal A. Conventionally fully fractionated Gamma Knife Icon re-irradiation of primary recurrent intracranial tumors: the first report indicating feasibility and safety. J Neurosurg 2023; 138:674-682. [PMID: 35986735 DOI: 10.3171/2022.6.jns22998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 06/17/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE With the incorporation of real-time image guidance on the Gamma Knife system allowing for mask-based immobilization (Gamma Knife Icon [GKI]), conventionally fully fractionated (1.8-3.0 Gy/day) GKI radiation can now be delivered to take advantage of an inherently minimal margin for delivery uncertainty, sharp dose falloff, and inhomogeneous dose distribution. This case series details the authors' preliminary experience in re-irradiating 7 complex primary intracranial tumors, which were considered to have been previously maximally radiated and situated adjacent to critical organs at risk. METHODS The authors retrospectively reviewed all patients who received fractionated re-irradiation using GKI at the Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada, between 2016 and 2021. Patients with brain metastases, and those who received radiotherapy courses in 5 or fewer fractions, were excluded. All radiotherapy doses were converted to the equivalent total dose in 2-Gy fractions (EQD2), with the assumption of an α/β ratio of 2 for late normal tissue toxicity and 10 for the tumor. RESULTS A total of 7 patients were included in this case series. Three patients had recurrent meningiomas, as well as 1 patient each with ependymoma, intracranial sarcoma, pituitary macroadenoma, and papillary pineal tumor. Six patients had undergone prior linear accelerator-based conventional fractionated radiotherapy and 1 patient had undergone prior proton therapy. Patients were re-irradiated with a median (range) total dose of 50.4 (30-63.4) Gy delivered in a median (range) of 28 (10-38) fractions with GKI. The median (range) target volume was 6.58 (0.2-46.3) cm3. The median (range) cumulative mean EQD2 administered to the tumor was 121.1 (107.9-181.3) Gy, and the median (range) maximum point EQD2 administered to the brainstem, optic nerves, and optic chiasm were 91.6 (74.0-111.5) Gy, 58.9 (6.3-102.9) Gy, and 59.9 (36.7-127.3) Gy, respectively. At a median (range) follow-up of 15 (6-42) months, 6 of 7 patients were alive with 4 having locally controlled disease. Only 3 patients experienced treatment-related toxicities, which were self-limited. CONCLUSIONS Fractionated radiotherapy using GKI may be a safe and effective method for the re-irradiation of complex progressive primary intracranial tumors, where the aim is to minimize the potential for serious late effects.
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Affiliation(s)
- Michael Yan
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
| | - Lori Holden
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
| | - Jay Detsky
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
| | - Chia-Lin Tseng
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
| | - Hany Soliman
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
| | - Sten Myrehaug
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
| | - Zain Husain
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
| | - Sunit Das
- 2Division of Neurosurgery, St. Michael's Hospital
| | - Collins Yeboah
- 3Department of Medical Physics, Sunnybrook Health Sciences Centre; and
| | - Nir Lipsman
- 4Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Mark Ruschin
- 3Department of Medical Physics, Sunnybrook Health Sciences Centre; and
| | - Arjun Sahgal
- 1Department of Radiation Oncology, Sunnybrook Health Sciences Centre
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23
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Zeng KL, Abugarib A, Soliman H, Myrehaug S, Husain ZA, Detsky J, Ruschin M, Karotki A, Atenafu EG, Larouche J, Campbell M, Maralani P, Sahgal A, Tseng CL. Dose-Escalated 2-Fraction Spine Stereotactic Body Radiation Therapy: 28 Gy Versus 24 Gy in 2 Daily Fractions. Int J Radiat Oncol Biol Phys 2023; 115:686-695. [PMID: 36309076 DOI: 10.1016/j.ijrobp.2022.09.076] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/18/2022] [Accepted: 09/21/2022] [Indexed: 01/19/2023]
Abstract
PURPOSE Stereotactic body radiation therapy (SBRT) for spine metastases improves pain response rates compared with conventional external beam radiation therapy; however, the optimal fractionation schedule is unclear. We report local control and toxicity outcomes after dose-escalated 2-fraction spine SBRT. METHODS AND MATERIALS A prospectively maintained institutional database of over 600 patients and 1400 vertebral segments treated with spine SBRT was reviewed to identify those prescribed 28 or 24 Gy in 2 daily fractions. The primary endpoint was magnetic resonance imaging based local failure (LF), and secondary endpoints included overall survival and vertebral compression fracture (VCF). RESULTS A total of 947 treated vertebral segments in 482 patients were identified, of which 301 segments in 159 patients received 28 Gy, and 646 segments in 323 patients received 24 Gy in 2 fractions. Median follow-up per patient was 23.5 months, and median overall survival was 49.1 months. In the 28 Gy cohort, the 6-, 12-, and 24-month cumulative incidences of LF were 3.5%, 5.4%, and 11.1%, respectively, versus 6.0%, 12.5%, and 17.6% in the 24 Gy cohort, respectively (P = .008). On multivariable analysis, 24 Gy (hazard ratio [HR], 1.525; 95% confidence interval, 1.039-2.238; P = .031), paraspinal disease extension (HR, 1.422; 95% confidence interval, 1.010-2.002; P = .044), and epidural extension in either radioresistant or radiosensitive histologies (HR, 2.117 and 1.227, respectively; P = .003) were prognostic for higher rates of LF. Risk of VCF was 5.5%, 7.6%, and 10.7% at 6, 12, and 24 months, respectively, and was similar between cohorts (P = .573). Spinal malalignment (P < .001), baseline VCF (P = .003), junctional spine location (P = .030), and greater minimum dose to 90% of planning target volume were prognostic for higher rates of VCF. CONCLUSIONS Dose escalation to 28 Gy in 2 daily fractions was associated with improved local control without increasing the risk of VCF. The 2-year local control rates are consistent with those predicted by the Hypofractionated Treatment Effects in the Clinic spine tumor control probability model, and these data will inform a proposed dose escalation randomized trial.
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Affiliation(s)
- K Liang Zeng
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Ahmed Abugarib
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Clinical Oncology Department, Sohag University Hospital, Sohag, Egypt
| | - Hany Soliman
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Zain A Husain
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mark Ruschin
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Aliaksandr Karotki
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, Toronto, Ontario, Canada
| | - Jeremie Larouche
- Division of Orthopedic Surgery and Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mikki Campbell
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
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24
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Moore-Palhares D, Ho L, Lu L, Chugh B, Vesprini D, Karam I, Soliman H, Symons S, Leung E, Loblaw A, Myrehaug S, Stanisz G, Sahgal A, Czarnota GJ. Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience. Radiat Oncol 2023; 18:27. [PMID: 36750891 PMCID: PMC9903411 DOI: 10.1186/s13014-023-02209-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/16/2023] [Indexed: 02/09/2023] Open
Abstract
PURPOSE Integrating magnetic resonance (MR) into radiotherapy planning has several advantages. This report details the clinical implementation of an MR simulation (MR-planning) program for external beam radiotherapy (EBRT) in one of North America's largest radiotherapy programs. METHODS AND MATERIALS An MR radiotherapy planning program was developed and implemented at Sunnybrook Health Sciences Center in 2016 with two dedicated wide-bore MR platforms (1.5 and 3.0 Tesla). Planning MR was sequentially implemented every 3 months for separate treatment sites, including the central nervous system (CNS), gynecologic (GYN), head and neck (HN), genitourinary (GU), gastrointestinal (GI), breast, and brachial plexus. Essential protocols and processes were detailed in this report, including clinical workflow, optimized MR-image acquisition protocols, MR-adapted patient setup, strategies to overcome risks and challenges, and an MR-planning quality assurance program. This study retrospectively reviewed simulation site data for all MR-planning sessions performed for EBRT over the past 5 years. RESULTS From July 2016 to December 2021, 8798 MR-planning sessions were carried out, which corresponds to 25% of all computer tomography (CT) simulations (CT-planning) performed during the same period at our institution. There was a progressive rise from 80 MR-planning sessions in 2016 to 1126 in 2017, 1492 in 2018, 1824 in 2019, 2040 in 2020, and 2236 in 2021. As a result, the relative number of planning MR/CT increased from 3% of all planning sessions in 2016 to 36% in 2021. The most common site of MR-planning was CNS (49%), HN (13%), GYN (12%), GU (12%), and others (8%). CONCLUSION Detailed clinical processes and protocols of our MR-planning program were presented, which have been improved over more than 5 years of robust experience. Strategies to overcome risks and challenges in the implementation process are highlighted. Our work provides details that can be used by institutions interested in implementing an MR-planning program.
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Affiliation(s)
- Daniel Moore-Palhares
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Ling Ho
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada
| | - Lin Lu
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada
| | - Brige Chugh
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Danny Vesprini
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Irene Karam
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Hany Soliman
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Sean Symons
- grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada ,grid.413104.30000 0000 9743 1587Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Eric Leung
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Andrew Loblaw
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Sten Myrehaug
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Greg Stanisz
- grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Arjun Sahgal
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Gregory J. Czarnota
- grid.413104.30000 0000 9743 1587Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, T2, Toronto, ON M4N3M5 Canada ,grid.17063.330000 0001 2157 2938Department of Radiation Oncology, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Physical Sciences, Sunnybrook Research Institute, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Medical Biophysics, University of Toronto, Toronto, Canada
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Meloche-Dumas L, Mercier F, Barabash T, Law C, Singh S, Myrehaug S, Chan W, Hallet J. Liver-directed therapy of neuroendocrine liver metastases. J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.4_suppl.647] [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: 01/26/2023] Open
Abstract
647 Background: While there have been major advances in the care of neuroendocrine tumors (NETs), there is still no widely adopted therapeutic sequencing in metastatic NETs. The roles and benefits of locoregional treatments need reassessment, in order to define a modern therapeutic algorithm. We examined contemporary short-term outcomes of liver-directed therapy for metastatic NETs. Methods: We conducted a population-based retrospective cohort study of patients with metastatic NETs (2000-2019) undergoing liver embolization (LE) or liver resection (LR). Outcomes were 30-day major morbidity (Clavien-Dindo grade 3-5) and/or re-admission (composite) and length of hospital stay. Modified Poisson regression accounting for clustering at the hospital level examined factors associated with outcomes in both treatment groups. Results: Overall, 1,224 LEs and 502 LRs were performed for 5,159 patients with metastatic NETs. Median length of hospital stay was 1 day (IQR 1-4) for liver embolization and 7 days (IQR 5-9) for liver resection. 30-day major morbidity and re-admission occurred after 213 LEs (17.4%) including 40 (3.3%) deaths, and 138 LRs (27.5%) including 11 (2.2%) deaths. There were 25 (2%) LEs followed by infectious complications. Factors independently associated with increased risk after LE were prior LE treatment (adjusted relative risk- aRR 0.62; 95%CI 0.44-0.88), rural residence (aRR 0.43; 95%CI 0.20-0.91) and high comorbidity burden (aRR 1.85; 95%CI 1.34-2.54). The only factor independently associated with increased risk after LR was metachronous metastases (RR 0.60; 95%CI 0.37-0.98). Conclusions: In this contemporary cohort, LE was associated with mortality similar to that of LR. Prior LE, rural residence, comorbidities, and metachronous metastatic diagnosis were associated with higher risk of major morbidity and re-admission. This information is important when discussing the use of and choice of liver-directed therapies in the multi-disciplinary management of metastatic NETs. Further characterization of long-term outcomes and patient-reported outcomes will further support decision-making, counselling, and patient preparation.
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Affiliation(s)
| | - Frédéric Mercier
- Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, QC, Canada
| | - Tori Barabash
- Sunnybrook Research Institute, Cancer Program, Evaluative Clinical Sciences, Toronto, ON, Canada
| | - Calvin Law
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Simron Singh
- Sunnybrook Health Sciencies, Toronto, ON, Canada
| | - Sten Myrehaug
- Odette Cancer Centre/Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | | | - Julie Hallet
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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26
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Stewart J, Sahgal A, Zadeh MM, Moazen B, Jabehdar Maralani P, Breen S, Lau A, Binda S, Keller B, Husain Z, Myrehaug S, Detsky J, Soliman H, Tseng CL, Ruschin M. Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy. Clin Transl Radiat Oncol 2023; 39:100582. [PMID: 36699195 PMCID: PMC9869418 DOI: 10.1016/j.ctro.2023.100582] [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: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/18/2023] Open
Abstract
Purpose Magnetic resonance image-guided radiotherapy for intracranial indications is a promising advance; however, uncertainties remain for both target localization after translation-only MR setup and intrafraction motion. This investigation quantified these uncertainties and developed a population-based planning target volume (PTV) model to explore target and organ-at-risk (OAR) volumetric coverage tradeoffs. Methods Sixty-six patients, 49 with a primary brain tumor and 17 with a post-surgical resection cavity, treated on a 1.5T-based MR-linac across 1329 fractions were included. At each fraction, patients were setup by translation-only fusion of the online T1 MRI to the planning image. Each fusion was independently repeated offline accounting for rotations. The six degree-of-freedom difference between fusions was applied to transform the planning CTV at each fraction (CTVfx). A PTV model parameterized by volumetric CTVfx coverage, proportion of fractions, and proportion of patients was developed. Intrafraction motion was quantified in a 412 fraction subset as the fusion difference between post- and pre-irradiation T1 MRIs. Results For the left-right/anterior-posterior/superior-inferior axes, mean ± SD of the rotational fusion differences were 0.1 ± 0.8/0.1 ± 0.8/-0.2 ± 0.9°. Covering 98 % of the CTVfx in 95 % of fractions in 95 % of patients required a 3 mm PTV margin. Margin reduction decreased PTV-OAR overlap; for example, the proportion of optic chiasm overlapped by the PTV was reduced up to 23.5 % by margin reduction from 4 mm to 3 mm. Conclusions An evidence-based PTV model was developed for brain cancer patients treated on the MR-linac. Informed by this model, we have clinically adopted a 3 mm PTV margin for conventionally fractionated intracranial patients.
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Affiliation(s)
- James Stewart
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Mahtab M. Zadeh
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Bahareh Moazen
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Pejman Jabehdar Maralani
- Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Stephen Breen
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
- Department of Medical Physics, Sunnybrook Odette Cancer Centre, Toronto, Canada
| | - Angus Lau
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Shawn Binda
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
| | - Brian Keller
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
- Department of Medical Physics, Sunnybrook Odette Cancer Centre, Toronto, Canada
| | - Zain Husain
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
- Department of Medical Physics, Sunnybrook Odette Cancer Centre, Toronto, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Corresponding author at: Department of Medical Physics, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada.
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27
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Dunne EM, Myrehaug S, Sahgal A. Stereotactic Body Radiotherapy for Painful Spinal Metastases - A Significant Advance in the Field of Radiation Oncology. Clin Oncol (R Coll Radiol) 2023; 35:e104-e105. [PMID: 36437160 DOI: 10.1016/j.clon.2022.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 11/11/2022] [Indexed: 11/26/2022]
Affiliation(s)
- E M Dunne
- Department of Radiation Oncology, BC Cancer - Vancouver Centre, Vancouver, British Columbia, Canada.
| | - S Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - A Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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28
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Selim Y, Di Lena É, Abu-Omar N, Baig Z, Verhoeff K, La J, Purich K, Albacete S, Valji R, Purich K, Safar A, Schellenberg M, Schellenberg M, Schellenberg M, Schellenberg M, Schellenberg M, Schellenberg M, Daza J, Glass LT, Verhoeff K, Johnson G, Guidolin K, Glass LT, Balvardi S, Gawad N, McKechnie T, McKechnie T, Purich K, Henley J, Imbert E, Li C, Skinner S, Lenet T, Lenet T, Metz J, Ahn H(S, Do U, Rouhi A, Greenberg B, Muaddi H, Park L, Vogt K, Bradley N, Deng SX, Murphy P, Alhabboubi M, Lie J, Laplante S, Lie J, Drung J, Nixon T, Allard-Coutu A, Mansouri S, Lee A, Tweedy J, D’Elia MA, Hopkins B, Srivastava A, Alibhai K, Lee C, Moon J(J, How N, Spoyalo K, Lalande A, Baig Z, Schweitzer C, Keogh J, Huo B, Patel YS, Patel YS, Jogiat U, McGuire AL, Jogiat U, Lee Y, Barber E, Akhtar-Danesh GG, Bondzi-Simpson A, Bowker R, Ahmadi N, Abdul SA, Patel P, Harrison L, Shi G, Shi G, Alaichi JA, Kidane B, Qu LC, Alaichi J, Mackay E, Lee J, Purich K, Castelo M, Caycedo-Marulanda A, Caycedo-Marulanda A, Brennan K, Brennan K, Brennan K, Garfinkle R, Sharma S, Candy S, Patel S, LeGal G, Spadafora S, Maclellan S, Trottier D, Jonker D, Asmis T, Mallick R, Ramsay T, Carrier M, McKechnie T, Shojaei D, Motamedi A, Ghuman A, Karimuddin A, Raval M, Brown C, Shojaei D, Wang H, Buie D, Wang H, McKechnie T, Buie D, Al Busaidi N, Rajabiyazdi F, Demian M, Boutros M, Farooq A, Brown C, Phang T, Ghuman A, Karimuddin A, McKechnie T, Raval M, Udwadia F, Marinescu D, Alqahtani M, Pang A, Vasilevsky CA, Boutros M, Oviedo SC, McFadden N, Spence R, Lee L, Hirsch G, Neumann K, Neumann K, Spence R, Johnson G, Singh H, Helewa R, Yilbas A, Netto FS, Katz J, Robitaille S, Sharma B, Khan U, Selzner M, Mocanu V, Dang J, Wilson H, Switzer N, Birch D, Karmali S, Mocanu V, Robitaille S, Jogiat U, Forbes H, Switzer N, Birch D, Karmali S, Verhoeff K, Mocanu V, Kung J, Purich K, Switzer N, Sadri H, Birch D, Karmali S, Tassé N, Tchernof A, Nadeau M, Dawe P, Beckett A, Biertho L, Lin A, Verhoeff K, Selznick S, Mocanu V, Kung JY, Birch DW, Karmali S, Switzer NJ, Fowler-Woods M, Fowler-Woods A, Shingoose G, Hatala A, Daeninck F, Wiseman V, Vergis A, Hardy K, Clouston K, Debru E, Sun W, Dang J, Switzer N, Birch D, Karmali S, De Gara C, Wiseman V, Halasz J, Dang J, Switzer N, Kanji A, Birch D, Modi R, Karmali S, Gu J, Jarrar A, Kolozsvari N, Wiseman V, Samarasinghe Y, Chen L, Hapugall A, Javidan A, McKechnie T, Doumouras A, Hong D, Laplante S, Stogryn S, Maeda A, Brennan K, Jackson T, Okrainec A, Birch D, Karmali S, Kanji A, Switzer N, Balas M, Gee D, Hutter M, Meireles O, Baker L, Jung J, Vergis A, Hardy K, Boudreau V, Hong D, Anvari M, Iranmanesh P, Barlow K, Cookson T, Bolis R, Ichhpuniani S, Shanthanna H, Shiroky J, Deghan S, Zevin B, Cloutier Z, Cookson T, Barlow K, Boudreau V, Anvari M, Brodie J, Johnson G, O’Brien E, Tedman-Aucoin K, Lawlor D, Murphy R, Twells L, Pace D, Ellsmere J, Evans B, Zhang T, Deehan E, Zhang L, Kao D, Hotte N, Birch D, Karmali S, Samarasinghe K, Walter J, Madsen K, 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Clinical delays and comparative outcomes in younger and older adults with colorectal cancer: a systematic review04. Recurrence rates of rectal cancer after transanal total mesorectal excision (taTME): a systematic review and meta-analysis05. Transanal total mesorectal excision for abdominoperineal resection (taTME-APR) is associated with poor oncological outcomes in rectal cancer patients: a word of caution from a multicentric Canadian cohort study06. Association between survival and receipt of recommended and timely treatment in locally advanced rectal cancer: a population-based study07. Trends and the impact of incomplete preoperative staging in rectal cancer08. Postoperative outcomes after elective colorectal surgery in patients with cirrhosis09. Bowel stimulation before loop ileostomy closure to reduce postoperative ileus: a multicentre, single-blinded, randomized controlled trial10. Recurrence following perineal rectosigmoidectomy ( Altemeier) with levatorplasty: a systematic review and meta-analysis11. Nonmodifiable risk factors and receipt of surveillance investigations following treatment of rectal cancer12. Safety and effectiveness of endoscopic full-thickness resection for the management of colorectal lesions: a systematic review and meta-analysis13. Impact of preoperative carbohydrate loading before colectomy: a systematic review and meta-analysis of randomized controlled trials14. Statin therapy in patients undergoing short-course neoadjuvant radiotherapy for rectal cancer15. Feasibility of targeted lymphadenectomy during complete mesocolic excision for colon cancer using indocyanine green immunofluorescence lymphatic mapping16. Feasibility of expanding an ambulatory colectomy protocol: a retrospective analysis of early discharge following minimally invasive colectomy in an enhanced recovery pathway17. Impact of rectal cancer on bowel dysfunction before treatment and its relationship with post-treatment function18. Canadian cost–utility analysis of artificial-intelligence-assisted colonoscopy for adenoma detection in fecal immunochemical-based colorectal cancer screening19. A comparison of outcomes following intracorporeal and extracorporeal anastomotic techniques in laparoscopic right colectomies20. Assessment of metabolic signatures using desorption electrospray ionization mass spectrometry (DESI) and rapid evaporative ionization mass spectrometry (REIMS) of rectal cancer samples to assist in determining treatment response21. The association between hospital characteristics and minimally invasive rectal cancer surgery: a population-based study22. Cancer centre level designation and the impact on treatment and outcomes in those with rectal cancer: a population-based study23. Oncological outcomes after colorectal cancer in patients with liver cirrhosis: a systematic review and meta-analysis24. Optimal preoperative nutrition for penetrating Crohn disease: a systematic review and meta-analysis25. Lymph node ratio as a predictor of survival for colon cancer: a systematic review and meta-analysis26. Barriers and facilitators for use of new recommendations for optimal endoscopic localization of colorectal neoplasms according to gastroenterologists and surgeons27. Emergency colorectal surgery in patients with cirrhosis: a population-based descriptive study28. Local recurrence rates and associated risk factors after transanal endoscopic microsurgery for benign polyps and adenocarcinomas29. Bowel dysfunction impacts mental health after restorative proctectomy for rectal cancer30. Evolution of psychological morbidity following restorative proctectomy for rectal cancer: a systematic review and meta-analysis31. Frailty predicts LARS and quality of life in rectal cancer survivors after restorative proctectomy32. Low anterior resection syndrome in a reference North American population: prevalence and predictive factors33. The evolution of enhanced recovery: same day discharge after laparoscopic colectomy34. Effect of ERAS protocols on length of stay after colorectal surgery: an interrupted time series analysis35. Practice patterns and outcomes in individuals with cirrhosis and colorectal cancer: a population-based study36. Understanding the impact of bowel function on quality of life after rectal cancer surgery37. Right-sided colectomies for diverticulitis have worse outcomes compared with left-sided colectomies38. Symptom burden and time from symptom onset to cancer diagnosis in patients with early-onset colorectal cancer39. The impact of access to robotic rectal surgery at a tertiary care centre: a Canadian perspective40. Management of rectal neuroendocrine tumours by transanal endoscopic microsurgery41. The gut microbiota modulates colorectal anastomotic healing in patients undergoing surgery for colorectal cancer42. Is there added risk of complications for concomitant procedures during an ileocolic resection for Crohn disease?43. Cost of stoma-related hospital readmissions for rectal cancer patients following restorative proctectomy with a diverting loop ileostomy: a nationwide readmissions database analysis44. Older age associated with quality of rectal cancer care: an ACS-NSQIP database study45. Outcomes of patients undergoing elective bowel resection before and after implementation of an anemia screening and treatment program47. Loop ileostomy closure as a 23-hour stay procedure: a randomized controlled trial48. Extended duration perioperative thromboprophylaxis with low-molecular-weight heparin to improve disease-free survival following surgical resection of colorectal cancer: a multicentre randomized controlled trial (PERIOP-01 Trial)49. Three-stage versus modified 2-stage ileal pouch anal anastomosis: perioperative outcomes, function and quality of life50. Compliance with extended venous thromboembolism prophylaxis in rectal cancer51. Extended-duration venous thromboembolism prophylaxis after diversion in rectal cancer52. Financial and occupational impact of low anterior resection syndrome: a qualitative study53. Nonoperative management for rectal cancer: patient perspectives54. Trends in ileostomy-related emergency department visits for rectal cancer patients55. Long-term implications of treatment of fecal incontinence: a single Canadian centre’s retrospective cohort study: a 17-year follow-up56. Externally benchmarking colorectal resection outcomes in our province against the ACS NSQIP risk calculator: identifying opportunities for improvement57. Externally benchmarking our provincial colectomy outcomes against the ACS NSQIP using the Codman Score: to identify possible opportunities for improvement of outcomes58. Rural v. urban documentation of recommended practices for optimal endoscopic colorectal lesion localization01. Incidence of in-hospital opioid use and pain after inguinal hernia repair02. Ventral hernia repair following liver transplantation: outcome of repair techniques and risk factors for recurrence01. Impact of the COVID-19 pandemic on bariatric surgery in North America: a retrospective analysis of 834 647 patients02. Patient selection and 30-day outcomes of SADI-S compared to RYGB: a retrospective cohort study of 47 375 patients03. New persistent opioid use following bariatric surgery: a systematic review and pooled proportion meta-analysis04. Bariatric surgery should be offered to active-duty military personnel: a retrospective study of the Canadian Armed Forces experience05. Opioid prescribing practices and use following bariatric surgery: a systematic review and pooled summary of data06. Sacred sharing circles: urban Indigenous Manitobans’ experiences with bariatric surgery07. Gastrogastric hernia after laparoscopic gastric great curve plication: a video presentation08. Characterization of comorbidities predictive of bariatric surgery09. Efficacy of preoperative high-dose liraglutide in patients with superobesity10. The effect of linear stapled gastrojejunostomy size in Roux-en-Y gastric bypass11. Fragility of statistically significant outcomes in randomized trials comparing bariatric surgeries12. Weight loss outcomes for patients undergoing conversion to Roux-en-Y gastric bypass after sleeve gastrectomy13. Are long waiting lists for bariatric surgery detrimental to patients? A single-centre experience14. Does upper gastrointestinal swallow study after bariatric surgery lead to earlier detection of leak?15. Pharmaceutical utilization before and after bariatric surgery16. Same-day discharge Roux-en-Y gastric bypass at a Canadian bariatric centre: pathway implementation and early experiences17. Safety and efficiency of performing primary bariatric surgery at an ambulatory site of a tertiary care hospital: a 5-year experience18. Impact of psychiatric diagnosis on weight loss outcomes 3 years after bariatric surgery19. Ursodeoxycholic acid (UDCA) for prevention of gallstone disease after laparoscopic sleeve gastrectomy (LSG): an Atlantic Canada perspective20. Fecal microbial transplantation and fibre supplementation in patients with severe obesity and metabolic syndrome: a randomized double-blind, placebo-controlled phase 2 trial01. Incidence, timing and outcomes of venous thromboembolism in patients undergoing surgery for esophagogastric cancer: a population-based cohort study04. Omission of axillary staging and survival in elderly women with early-stage breast cancer: a population-based cohort study05. Patients’ experiences receiving cancer surgery during the COVID-19 pandemic: a qualitative study06. Cancer surgery outcomes are better at high-volume centres07. Attitudes of Canadian colorectal cancer care providers toward liver transplantation for colorectal liver metastases: a national survey08. Quality of narrative central and lateral neck dissection reports for thyroid cancer treatment suggests need for a national standardized synoptic operative template09. Transoral endoscopic thyroidectomy vestibular approach (TOETVA): indications and technique10. Temporal trends in lymph node assessment as a quality indicator in colorectal cancer patients treated at a high-volume Canadian centre11. Molecular landscape of early-stage breast cancer with nodal metastasis12. Beta testing of a risk-stratified patient decision aid to facilitate shared decision making for postoperative extended thromboprophylaxis in patients undergoing major abdominal surgery for cancer13. Breast reconstruction use and impact on oncologic outcomes among inflammatory breast cancer patients: a systematic review14. Association between patient-reported symptoms and health care resource utilization: a first step to develop patient-centred value measures in cancer care15. Complications after colorectal liver metastases resection in Newfoundland and Labrador16. Why do patients with nonmetastatic primary retroperitoneal sarcoma not undergo resection?17. Loss of FAM46Cexpression predicts inferior postresection survival and induces ion channelopathy in gastric adenocarcinoma18. Liver-directed therapy of neuroendocrine liver metastases19. Neoadjuvant pembrolizumab use in microsatellite instability high (MSI-H) rectal cancer: benefits of its use in lynch syndrome20. MOLLI for excision of nonpalpable breast lesions: a case series22. Patients awaiting mastectomy report increased depression, anxiety, and decreased quality of life compared with patients awaiting lumpectomy for treatment of breast cancer23. Is microscopic margin status important in retroperitoneal sarcoma (RPS) resection? A systematic review and meta-analysis24. Absence of benefit of routine surveillance in very-low-risk and low-risk gastric gastrointestinal stromal tumors25. Effect of intraoperative in-room specimen radiography on margin status in breast-conserving surgery26. Active surveillance for DCIS of the breast: qualitative interviews with patients and physicians01 Outcomes following extrahepatic and intraportal pancreatic islet transplantation: a comparative cohort study02. Cholang-funga-gitis03. Evaluating the effect of a low-calorie prehepatectomy diet on perioperative outcomes: a systematic review and meta-analysis04. Toxicity profiles of systemic therapy for advanced hepatocellular carcinoma: a systematic review to guide neoadjuvant trials05. Should cell salvage be used in liver resection and transplantation? A systematic review and meta-analysis06. The association between surgeon and hospital variation in use of laparoscopic liver resection and short-term outcomes07. Systematic review and meta-analysis of prognostic factors for early recurrence in intrahepatic cholangiocarcinoma after curative-intent resection08. Impact of neoadjuvant chemotherapy on postoperative outcomes of patients undergoing hepatectomy for intrahepatic cholangiocarcinoma: ACS-NSQIP propensity-matched analysis09. The impact of prophylactic negative pressure wound therapy on surgical site infections in pancreatic resection: a systematic review and meta-analysis10. Does hepatic pedicle clamping increase the risk of colonic anastomotic leak after combined hepatectomy and colectomy? Analysis of the ACS NSQIP database11. Development of a culture process to grow a full-liver tissue substitute12. Liver transplantation for fibrolamellar hepatocellular carcinoma: an analysis of the European Liver Transplant Registry13. Arming beneficial viruses to treat pancreatic cancer14. Hepaticoduodenostomy versus hepaticojenunostomy for biliary reconstruction: a retrospective review of a single-centre experience15. Feasibility and safety of a “shared care” model in complex hepatopancreatobiliary surgery: a 5-year analysis of pancreaticoduodenectomy16. Laparoscopic v. open pancreaticoduodenectomy: initial institutional experience and NSQIP-matched analysis17. Laparoscopic spleen-preserving distal pancreatectomy: Why not do a Warshaw?18. The impact of COVID-19 on pancreaticoduodenectomy outcomes in a high-volume hepatopancreatobiliary centre19. Transitioning from open to minimally invasive pancreaticoduodenectomy: the learning curve factor in an academic centre20. Closed-incision negative-pressure wound therapy following pancreaticoduodenectomy for prevention of surgical site infections in high-risk patients21. Robotic Appleby procedure for recurrent pancreatic cancer22. The influence of viral hepatitis status on posthepatectomy complications in patients with hepatocellular carcinoma: a NSQIP analysis. Can J Surg 2022. [DOI: 10.1503/cjs.014322] [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: 12/05/2022] Open
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Tseng CL, Chen H, Stewart J, Lau AZ, Chan RW, Lawrence LSP, Myrehaug S, Soliman H, Detsky J, Lim-Fat MJ, Lipsman N, Das S, Heyn C, Maralani PJ, Binda S, Perry J, Keller B, Stanisz GJ, Ruschin M, Sahgal A. High grade glioma radiation therapy on a high field 1.5 Tesla MR-Linac - workflow and initial experience with daily adapt-to-position (ATP) MR guidance: A first report. Front Oncol 2022; 12:1060098. [PMID: 36518316 PMCID: PMC9742425 DOI: 10.3389/fonc.2022.1060098] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [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: 10/02/2022] [Accepted: 11/10/2022] [Indexed: 07/30/2023] Open
Abstract
PURPOSE This study reports the workflow and initial clinical experience of high grade glioma (HGG) radiotherapy on the 1.5 T MR-Linac (MRL), with a focus on the temporal variations of the tumor and feasibility of multi-parametric image (mpMRI) acquisition during routine treatment workflow. MATERIALS AND METHODS Ten HGG patients treated with radiation within the first year of the MRL's clinical operation, between October 2019 and August 2020, were identified from a prospective database. Workflow timings were recorded and online adaptive plans were generated using the Adapt-To-Position (ATP) workflow. Temporal variation within the FLAIR hyperintense region (FHR) was assessed by the relative FHR volumes (n = 281 contours) and migration distances (maximum linear displacement of the volume). Research mpMRIs were acquired on the MRL during radiation and changes in selected functional parameters were investigated within the FHR. RESULTS All patients completed radiotherapy to a median dose of 60 Gy (range, 54-60 Gy) in 30 fractions (range, 30-33), receiving a total of 287 fractions on the MRL. The mean in-room time per fraction with or without post-beam research imaging was 42.9 minutes (range, 25.0-69.0 minutes) and 37.3 minutes (range, 24.0-51.0 minutes), respectively. Three patients (30%) required re-planning between fractions 9 to 12 due to progression of tumor and/or edema identified on daily MRL imaging. At the 10, 20, and 30-day post-first fraction time points 3, 3, and 4 patients, respectively, had a FHR volume that changed by at least 20% relative to the first fraction. Research mpMRIs were successfully acquired on the MRL. The median apparent diffusion coefficient (ADC) within the FHR and the volumes of FLAIR were significantly correlated when data from all patients and time points were pooled (R=0.68, p<.001). CONCLUSION We report the first clinical series of HGG patients treated with radiotherapy on the MRL. The ATP workflow and treatment times were clinically acceptable, and daily online MRL imaging triggered adaptive re-planning for selected patients. Acquisition of mpMRIs was feasible on the MRL during routine treatment workflow. Prospective clinical outcomes data is anticipated from the ongoing UNITED phase 2 trial to further refine the role of MR-guided adaptive radiotherapy.
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Affiliation(s)
- Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - James Stewart
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Angus Z. Lau
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
- Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Rachel W. Chan
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
| | | | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Mary Jane Lim-Fat
- Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Nir Lipsman
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Sunit Das
- Division of Neurosurgery, St. Michael’s Hospital, University of Toronto, Toronto, ON, Canada
| | - Chinthaka Heyn
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Pejman J. Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Shawn Binda
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - James Perry
- Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Brian Keller
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Greg J. Stanisz
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
- Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland
| | - Mark Ruschin
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
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Oglesby RT, Lam WW, Ruschin M, Holden L, Sarfehnia A, Yeboah C, Sahgal A, Soliman H, Detsky J, Tseng CL, Myrehaug S, Husain Z, Lau AZ, Stanisz GJ, Chugh BP. Skull phantom-based methodology to validate MRI co-registration accuracy for Gamma Knife radiosurgery. Med Phys 2022; 49:7071-7084. [PMID: 35842918 DOI: 10.1002/mp.15851] [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: 03/21/2022] [Revised: 05/09/2022] [Accepted: 06/28/2022] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Target localization, for stereotactic radiosurgery (SRS) treatment with Gamma Knife, has become increasingly reliant on the co-registration between the planning MRI and the stereotactic cone-beam computed tomography (CBCT). Validating image registration between modalities would be particularly beneficial when considering the emergence of novel functional and metabolic MRI pulse sequences for target delineation. This study aimed to develop a phantom-based methodology to quantitatively compare the co-registration accuracy of the standard clinical imaging protocol to a representative MRI sequence that was likely to fail co-registration. The comparative methodology presented in this study may serve as a useful tool to evaluate the clinical translatability of novel MRI sequences. METHODS A realistic human skull phantom with fiducial marker columns was designed and manufactured to fit into a typical MRI head coil and the Gamma Knife patient positioning system. A series of "optimized" 3D MRI sequences-T1 -weighted Dixon, T1 -weighted fast field echo (FFE), and T2 -weighted fluid-attenuated inversion recovery (FLAIR)-were acquired and co-registered to the CBCT. The same sequences were "compromised" by reconstructing without geometric distortion correction and re-collecting with lower signal-to-noise-ratio (SNR) to simulate a novel MRI sequence with poor co-registration accuracy. Image similarity metrics-structural similarity (SSIM) index, mean squared error (MSE), and peak SNR (PSNR)-were used to quantitatively compare the co-registration of the optimized and compromised MR images. RESULTS The ground truth fiducial positions were compared to positions measured from each optimized image volume revealing a maximum median geometric uncertainty of 0.39 mm (LR), 0.92 mm (AP), and 0.13 mm (SI) between the CT and CBCT, 0.60 mm (LR), 0.36 mm (AP), and 0.07 mm (SI) between the CT and T1 -weighted Dixon, 0.42 mm (LR), 0.23 mm (AP), and 0.08 mm (SI) between the CT and T1 -weighted FFE, and 0.45 mm (LR), 0.19 mm (AP), and 1.04 mm (SI) between the CT and T2 -weighted FLAIR. Qualitatively, pairs of optimized and compromised image slices were compared using a fusion image where separable colors were used to differentiate between images. Quantitatively, MSE was the most predictive and SSIM the second most predictive metric for evaluating co-registration similarity. A clinically relevant threshold of MSE, SSIM, and/or PSNR may be defined beyond which point an MRI sequence should be rejected for target delineation based on its dissimilarity to an optimized sequence co-registration. All dissimilarity thresholds calculated using correlation coefficients with in-plane geometric uncertainty would need to be defined on a sequence-by-sequence basis and validated with patient data. CONCLUSION This study utilized a realistic skull phantom and image similarity metrics to develop a methodology capable of quantitatively assessing whether a modern research-based MRI sequence can be co-registered to the Gamma Knife CBCT with equal or less than equal accuracy when compared to a clinically accepted protocol.
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Affiliation(s)
- Ryan T Oglesby
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Wilfred W Lam
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Mark Ruschin
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Lori Holden
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Arman Sarfehnia
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.,Department of Physics, Ryerson University, Toronto, Ontario, Canada
| | - Collins Yeboah
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Zain Husain
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Angus Z Lau
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Greg J Stanisz
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Neurosurgery and Paediatric Neurosurgery, Medical University of Lublin, Lublin, Poland.,Department of Physics, Ryerson University, Toronto, Ontario, Canada
| | - Brige P Chugh
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.,Department of Physics, Ryerson University, Toronto, Ontario, Canada
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Mehrabian H, Chan RW, Sahgal A, Chen H, Theriault A, Lam WW, Myrehaug S, Tseng CL, Husain Z, Detsky J, Soliman H, Stanisz GJ. Chemical Exchange Saturation Transfer MRI for Differentiating Radiation Necrosis From Tumor Progression in Brain Metastasis-Application in a Clinical Setting. J Magn Reson Imaging 2022; 57:1713-1725. [PMID: 36219521 DOI: 10.1002/jmri.28440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 07/15/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND High radiation doses of stereotactic radiosurgery (SRS) for brain metastases (BM) can increase the likelihood of radiation necrosis (RN). Advanced MRI sequences can improve the differentiation between RN and tumor progression (TP). PURPOSE To use saturation transfer MRI methods including chemical exchange saturation transfer (CEST) and magnetization transfer (MT) to distinguish RN from TP. STUDY TYPE Prospective cohort study. SUBJECTS Seventy patients (median age 60; 73% females) with BM (75 lesions) post-SRS. FIELD STRENGTH/SEQUENCE 3-T, CEST imaging using low/high-power (saturation B1 = 0.52 and 2.0 μT), quantitative MT imaging using B1 = 1.5, 3.0, and 5.0 μT, WAter Saturation Shift Referencing (WASSR), WAter Shift And B1 (WASABI), T1 , and T2 mapping. All used gradient echoes except T2 mapping (gradient and spin echo). ASSESSMENT Voxel-wise metrics included: magnetization transfer ratio (MTR); apparent exchange-dependent relaxation (AREX); MTR asymmetry; normalized MT exchange rate and pool size product; direct water saturation peak width; and the observed T1 and T2 . Regions of interests (ROIs) were manually contoured on the post-Gd T1 w. The mean (of median ROI values) was compared between groups. Clinical outcomes were determined by clinical and radiologic follow-up or histopathology. STATISTICAL TESTS t-Test, univariable and multivariable logistic regression, receiver operating characteristic, and area under the curve (AUC) with sensitivity/specificity values with the optimal cut point using the Youden index, Akaike information criterion (AIC), Cohen's d. P < 0.05 with Bonferroni correction was considered significant. RESULTS Seven metrics showed significant differences between RN and TP. The high-power MTR showed the highest AUC of 0.88, followed by low-power MTR (AUC = 0.87). The combination of low-power CEST scans improved the separation compared to individual parameters (with an AIC of 70.3 for low-power MTR/AREX). Cohen's d effect size showed that the MTR provided the largest effect sizes among all metrics. DATA CONCLUSION Significant differences between RN and TP were observed based on saturation transfer MRI. EVIDENCE LEVEL 3 Technical Efficacy: Stage 2.
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Affiliation(s)
- Hatef Mehrabian
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Rachel W Chan
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Aimee Theriault
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Wilfred W Lam
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Zain Husain
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Greg J Stanisz
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Department of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, Lublin, Poland
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Jabehdar Maralani P, Chen H, Moazen B, Mojtahed Zadeh M, Salehi F, Chan A, Zeng LK, Abugharib A, Tseng CL, Husain Z, Myrehaug S, Soliman H, Detsky J, Heyn C, Ruschin M, Larouche J, Sahgal A. Proposing a quantitative MRI-based linear measurement framework for response assessment following stereotactic body radiation therapy in patients with spinal metastasis. J Neurooncol 2022; 160:265-272. [PMID: 36203028 DOI: 10.1007/s11060-022-04152-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 09/28/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE To provide evidence towards a quantitative response assessment framework incorporating MRI-based linear measurements for spinal metastasis that predicts outcome following stereotactic body radiation therapy (SBRT). METHODS Adult patients with de novo spinal metastases treated with SBRT between 2008 and 2018 were retrospectively assessed. The metastatic lesions involving the pedicles, articular processes, lamina, transverse process, spinous process and vertebral body at leach level were measured separately using linear measurements on pre- and all post-SBRT MRIs. The outcome was segment-specific progression (SSP) using SPINO guidelines which was dated to the first clinical documentation of progression, or the date of the associated MRI if imaging was the reason for progression. Random forest analysis for variable selection and recursive partitioning analysis for SSP probability prediction were used. RESULTS Five Hundred Ninety-three spinal levels (323 patients) from 4081 MRIs were evaluated. The appearance of new T1 hypointensity and increase in Bilsky grade had an odds ratio (OR) of 33.5 and 15.5 for SSP, respectively. Compared to baseline, an increase of > 3 mm in any lesion dimension, combined with a 1.67-fold increase in area, had an OR of 4.6 for SSP. The sensitivity, specificity, positive predictive value, negative predictive value, balanced accuracy and area under the curve of the training model were 96.7%, 89.6%, 28.6%, 99.8%, 93.2% and 0.905 and of the test model were 91.3%, 89.3%, 27.1% 99.6%, 90.3% and 0.933, respectively. CONCLUSION With further refinement and validation in prospective multicentre studies, MRI-based linear measurements can help predict response assessment in SBRT-treated spinal metastases.
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Affiliation(s)
- Pejman Jabehdar Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, AG270c, Toronto, ON, M4N 3M5, Canada.
| | - Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Bahareh Moazen
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, AG270c, Toronto, ON, M4N 3M5, Canada
| | - Mahtab Mojtahed Zadeh
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, AG270c, Toronto, ON, M4N 3M5, Canada
| | - Fateme Salehi
- Department of Radiology, McMaster University, Hamilton, Canada
| | - Aimee Chan
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, AG270c, Toronto, ON, M4N 3M5, Canada
| | - Liang K Zeng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Ahmed Abugharib
- Department of Clinical Oncology, Sohag University Hospital, Sohag, Egypt
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Zain Husain
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Chinthaka Heyn
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, AG270c, Toronto, ON, M4N 3M5, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
| | - Jeremie Larouche
- Division of Orthopedic Surgery, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, Canada
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Palhares D, Chen H, Wang M, Myrehaug S, Detsky J, Tseng CLE, Husain Z, Lim-fat MJ, Lipsman N, Das S, Keith J, Sahgal A, Soliman H. 43: Predictive Factors for Survival and Radiation Necrosis in Patients with Recurrent High-Grade Glioma Treated with Re-Irradiation. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)04322-5] [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: 11/15/2022]
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Hudson JM, Stewart J, Zeng KL, Chen H, Ruschin M, Soliman H, Myrehaug S, Husain Z, Sahgal A, Detsky J. 2: Impact of MGMT Promoter Methylation Status on Tumour Dynamics During Weekly Adaptive Radiotherapy for Glioblastoma. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)04281-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Zeng KL, Myrehaug S, Soliman H, Husain ZA, Tseng CL, Detsky J, Ruschin M, Atenafu E, Witiw C, Larouche J, da Costa L, Maralani PJ, Parulekar W, Sahgal A. 47: Mature Local Control and Reirradiation Rates Comparing Spine Stereotactic Body Radiotherapy to Conventional Palliative External Beam Radiotherapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)04326-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Zeng KL, Abugharib A, Soliman H, Myrehaug S, Husain Z, Detsky J, Ruschin M, Karotki A, Atenafu E, Maralani P, Sahgal A, Tseng CL. 83: Dose-Escalated Two-Fraction Spine Stereotactic Body Radiotherapy: 28 GY Versus 24 GY in 2 Daily Fractions. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)04362-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Palhares D, Zeng KL, Myrehaug S, Tseng CL(E, Detsky J, Husain Z, Heyn C(C, Maralani P, da Costa L, Larouche J, Sahgal A, Soliman H. 77: Outcomes of 30GY in 4 Fractions for Spine Stereotactic Body Radiotherapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)04356-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Yan M, Holden L, Wang M, Soliman H, Myrehaug S, Tseng CL, Detsky J, Ruschin M, Tjong M, Atenafu EG, Das S, Lipsman N, Heyn C, Sahgal A, Husain Z. Gamma knife icon based hypofractionated stereotactic radiosurgery (GKI-HSRS) for brain metastases: impact of dose and volume. J Neurooncol 2022; 159:705-712. [PMID: 35999435 DOI: 10.1007/s11060-022-04115-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 07/21/2022] [Accepted: 08/09/2022] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Gamma Knife Icon-based hypofractionated stereotactic radiosurgery (GKI-HSRS) is a novel technical paradigm in the treatment of brain metastases that allows for both the dosimetric benefits of the GKI stereotactic radiosurgery (SRS) platform as well as the biologic benefits of fractionation. We report mature local control and adverse radiation effect (ARE) outcomes following 5 fraction GKI-HSRS for intact brain metastases. METHODS Patients with intact brain metastases treated with 5-fraction GKI-HSRS were retrospectively reviewed. Survival, local control, and adverse radiation effect rates were determined. Univariable and multivariable regression (MVA) were performed on potential predictive factors. RESULTS Two hundred and ninety-nine metastases in 146 patients were identified. The median clinical follow-up was 10.7 months (range 0.5-47.6). The median total dose and prescription isodose was 27.5 Gy (range, 20-27.5) in 5 daily fractions and 52% (range, 45-93), respectively. The median overall survival (OS) was 12.7 months, and the 1-year local failure rate was 15.2%. MVA identified a total dose of 27.5 Gy vs. ≤ 25 Gy (hazard ratio [HR] 0.59, p = 0.042), and prior chemotherapy exposure (HR 1.99, p = 0.015), as significant predictors of LC. The 1-year ARE rate was 10.8% and the symptomatic ARE rate was 1.8%. MVA identified a gross tumor volume of ≥ 4.5 cc (HR 7.29, p < 0.001) as a significant predictor of symptomatic ARE. CONCLUSION Moderate total doses in 5 daily fractions of GKI-HSRS were associated with high rates of LC and a low incidence of symptomatic ARE.
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Affiliation(s)
- Michael Yan
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Lori Holden
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Michael Wang
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Mark Ruschin
- Department of Medical Physics, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Michael Tjong
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, Princess Margaret Cancer Center, University of Toronto, Toronto, Canada
| | - Sunit Das
- Department of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Nir Lipsman
- Department of Neurosurgery, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Canada
| | - Chinthaka Heyn
- Department of Radiology, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada
| | - Zain Husain
- Department of Radiation Oncology, Odette Cancer Center, University of Toronto, Toronto, Canada. .,Sunnybrook Health Sciences Center, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
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Hudson JM, Stewart J, Zeng KL, Chen H, Ruschin M, Soliman H, Tseng CL, Myrehaug S, Husain Z, Sahgal A, Detsky J. LOCL-16 IMPACT OF MGMT PROMOTER METHYLATION STATUS ON TUMOR DYNAMICS DURING WEEKLY ADAPTIVE RADIOTHERAPY FOR GLIOBLASTOMA. Neurooncol Adv 2022. [PMCID: PMC9354172 DOI: 10.1093/noajnl/vdac078.058] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
PURPOSE
Adaptive MRI-guided radiotherapy (RT) on a 1.5T-MR-Linac using reduced clinical target volumes (CTV) of 5mm instead of the 15mm standard for glioblastoma (GBM) is currently being evaluated on the UNITED clinical trial (NCT04726397). We explored the morphological changes that occur during adaptive RT with concurrent temozolomide between tumors with MGMT promotor methylation (MGMT-m) vs. unmethylation (MGMT-um).
METHODS
Thirty patients with IDH-wildtype GBMs were treated with 60Gy in 30 (n=12) or 40Gy in 15 fractions (n=18) (Fx). The CTV included a 5mm expansion on the gross tumor volume (GTV) +/- FLAIR hyperintense areas-at-risk and a 3mm planning target volume. Planning was performed on a pre-treatment reference MRI (FxRef) followed by weekly on-line adaptive re-planning at Fx1, Fx6, etc. acquired on the MR-Linac. Interim fractions were image-guided by pre-beam-on onboard MRI. The GTV/CTVs were quantified by their absolute volumes, volumes relative to the FxRef and the maximum linear distance from the edges of the reference contour to the weekly adapted contours (migration distance, dmig). MGMT promoter methylation status was explored as a fixed effect in a linear mixed statistical model.
RESULTS
Weekly median changes in GTV relative to FxRef in MGMT-um tumors (n=12) were 10.3%, 9.2%, 10.6%, 14.5%, 18.0% and 17.3%, respectively, while for MGMT-m (n=18) were 3.4%, 0.0%, -8.6%, -11.3%, -11.3% and -5.6% (p=0.021). Between FxRef and Fx1, the GTV increased by over 10% in 58% of MGMT-um tumors vs. 33% of MGMT-m tumors. Similar significant trends were observed with the CTVs. MGMT-um tumors had significantly larger dmig compared to tumors with MGMT-m (median 9.6mm vs. 5.8mm, respectively (p=0.018)).
CONCLUSIONS
MGMT-um GBM exhibited significant changes in morphology and migration distance between the time of treatment planning to the first treatment fraction, as well as throughout a course of RT. In this population, our results support a greater frequency of imaging and plan adaptation when applying personalized reduced CTV margins.
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Affiliation(s)
- John M Hudson
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - James Stewart
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - K Liang Zeng
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Hanbo Chen
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Hany Soliman
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Zain Husain
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
| | - Jay Detsky
- Department of Radiation Oncology, University of Toronto , Toronto , Canada
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre , Toronto , Canada
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Chan D, Rodriguez-Freixinos V, Doherty M, Wasson K, Iscoe N, Raskin W, Hallet J, Myrehaug S, Law C, Thawer A, Nguyen K, Singh S. Avelumab in unresectable/metastatic, progressive, grade 2–3 neuroendocrine neoplasms (NENs): Combined results from NET-001 and NET-002 trials. Eur J Cancer 2022; 169:74-81. [DOI: 10.1016/j.ejca.2022.03.029] [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] [Received: 01/21/2022] [Revised: 03/07/2022] [Accepted: 03/18/2022] [Indexed: 11/30/2022]
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Hudson JM, Singh S, Milot L, Patel C, Bailey C, Rodriguez-Freixinos V, Chan D, Hallet J, Law C, Myrehaug S. Dynamic Contrast-enhanced CT to Evaluate Early Response in Neuroendocrine Liver Metastases Treated With Everolimus and Radiation. Anticancer Res 2022; 42:3523-3527. [PMID: 35790284 DOI: 10.21873/anticanres.15838] [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: 04/26/2022] [Revised: 05/19/2022] [Accepted: 05/23/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND/AIM The optimal method to evaluate response of neuroendocrine liver metastases (NELM) to radiation treatment (RT) is unknown; tumor perfusion parameters were evaluated by using dynamic contrast-enhanced computed tomography (DCE-CT) to correlate with efficacy in a prospective pilot study utilizing everolimus with radiotherapy for NELM. PATIENTS AND METHODS Fourteen patients with progressive NELM received everolimus for 28 days prior to, concurrent with, and 14 days following radiation. Patients had a DCE-CT at baseline (t0), prior to radiation (t1) and 7 days after radiation (t2). Per lesion response was evaluated per standard response evaluation criteria (RECIST v1.1). Median statistics of the perfusion parameters were tabulated and included: blood flow (BF), blood volume (BV), and permeability (PS). Correlations between the parameters and the maximum percent change in size of the NELM at 12-months were explored. NELM not treated with radiation served as an internal control. RESULTS Twenty-one treated NELM in 10 patients were evaluable. Compared to t0, BV increased at t1 (median 11%, range -15 to +37%, p=0.59), and then decreased significantly at t2 (median -8.4%, range -29 to +5.4%, p<0.03). A trend of increased BV in internal controls at each time point supports that the observed effect is due to radiation. Conventional objective response rate was 33%; no progression was seen within 12-months. CONCLUSION Changes in DCE-CT were observed in patients receiving everolimus and radiation for NELM, with BV decreasing significantly following radiotherapy. Given the challenges in assessing response in NELM using traditional response evaluation criteria in any context, DCE-CT appears to be a promising modality.
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Affiliation(s)
- John Monte Hudson
- Department of Radiation Oncology, University of Toronto, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Simron Singh
- Division of Medical Oncology, University of Toronto, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Laurent Milot
- Body and VIR Department, University Hospital Edouard Herriot, Lyon, France
| | - Chirag Patel
- Department of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Colleen Bailey
- Sunnybrook Research Institute, Odette Cancer Research Program, Toronto, ON, Canada
| | - Victor Rodriguez-Freixinos
- Division of Medical Oncology, University of Toronto, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - David Chan
- Department of Medical Oncology, University of Sydney, Royal North Shore Hospital, St. Leonards, NSW, Australia
| | - Julie Hallet
- Department of Surgery, University of Toronto, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Calvin Law
- Department of Surgery, University of Toronto, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, University of Toronto, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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Id Said B, Chen H, Jerzak KJ, Warner E, Myrehaug S, Tseng CL, Detsky J, Husain Z, Sahgal A, Soliman H. Trastuzumab emtansine increases the risk of stereotactic radiosurgery-induced radionecrosis in HER2 + breast cancer. J Neurooncol 2022; 159:177-183. [PMID: 35715667 DOI: 10.1007/s11060-022-04055-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/01/2022] [Indexed: 12/22/2022]
Abstract
INTRODUCTION In this study, we investigate factors associated with radionecrosis (RN) in HER2 + (human epidermal growth factor receptor 2) patients with brain metastases (BrM) treated with stereotactic radiosurgery (SRS). METHODS Patients with HER2 + breast cancer BrM treated with SRS (2010-2020) were identified from an institutional database. The incidence of RN was determined per treated BrM according to serial imaging and/or histology. Factors associated with RN such as age, RT dose, BrM volume, and initiation of Trastuzumab Emtansine (T-DM1) were investigated with univariate and multivariable analyses (MVA). RESULTS 67 HER2 + patients with 223 BrM were identified. 21 patients (31.3%) were treated with T-DM1 post-SRS, including 14 patients (20.9%) who received T-DM1 within 12 months of SRS. The median follow-up was 15.6 (interquartile range (IQR) 5.4-35.3) months. The overall probability of RN post-SRS was 21.6% (95% confidence interval (CI) 2.7-10.7), and the 1 and 2 year risk was 6.7% (95% CI 2.7-10.7) and 15.2% (95% CI 9.2-21.3). MVA identified T-DM1 treatment post-SRS (hazard ratio (HR) 2.5, 95% CI 1.2-5.3, p = 0.02) and equivalent dose in 2 Gy fractions (EQD2) > 90 Gy2 (HR 2.4, 95% CI 1.1-5.1, p = 0.02) as predictors of RN. Patients treated with T-DM1 and SRS had a 29.9% (95% CI 15.3-44.6%) probability of RN, with a 25.2% (95% CI 12.8-37.6%) risk at 1- and 2 years post-T-DM1. The majority of RN were symptomatic (71%), with a median time to RN of 4.8 months. CONCLUSION T-DM1 exposure post-SRS was associated with a higher risk of RN among patients with HER2 + BrM.
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Affiliation(s)
- Badr Id Said
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada
| | - Katarzyna J Jerzak
- Department of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Ellen Warner
- Department of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, Toronto, ON, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada
| | - Zain Husain
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Science Centre, 2075 Bayview Ave., T2 181, Toronto, ON, M4N 3M5, Canada.
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Zeng KL, Myrehaug S, Soliman H, Husain ZA, Tseng CL, Detsky J, Ruschin M, Atenafu EG, Witiw CD, Larouche J, da Costa L, Maralani PJ, Parulekar WR, Sahgal A. Mature Local Control and Reirradiation Rates Comparing Spine Stereotactic Body Radiotherapy to Conventional Palliative External Beam Radiotherapy. Int J Radiat Oncol Biol Phys 2022; 114:293-300. [PMID: 35675854 DOI: 10.1016/j.ijrobp.2022.05.043] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [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: 01/25/2022] [Revised: 05/18/2022] [Accepted: 05/27/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE Stereotactic body radiotherapy (SBRT) improves complete pain response for painful spinal metastases compared to conventional external beam radiotherapy (cEBRT). We report mature local control and reirradiation rates in a large cohort of patients treated with SBRT vs. cEBRT enrolled previously in the Canadian Clinical Trials Group Symptom Control (SC).24 phase II/III trial. METHODS/MATERIALS 137/229 (60%) patients randomized to 24 Gy in 2 SBRT fractions or 20 Gy in 5 cEBRT fractions were retrospectively reviewed. By including all treated spinal segments, we report on 66 patients (119 spine segments) treated with SBRT, and 71 patients (169 segments) treated with cEBRT. The primary outcomes were MR-based local control and reirradiation rates for each treated spine segment. RESULTS The median follow-up was 11.3 months (IQR: 5.3-27.7 months), and median OS in the SBRT and cEBRT cohorts were 21.6 (95%CI: 11.3 - upper bound not reached) and 18.9 (95%CI: 12.2-29.1) months (p=0.428), respectively. The cohorts were balanced with respect to radioresistant histology and presence of "Mass" (paraspinal and/or epidural disease extension). Risk of local failure after SBRT vs. cEBRT at 6, 12 and 24 months were 2.8% (95%CI: 0.8%-7.4%) vs. 11.2% (95%CI: 6.9%-16.6%), 6.1% (95%CI: 2.5%-12.1%) vs. 28.4% (95%CI: 21.3%-35.9%) and 14.8% (95%CI: 8.2-23.1%) vs. 35.6% (95%CI: 27.8%-43.6%), respectively (p<0.001). cEBRT (HR:3.48, 95%CI:1.94-6.25, p<0.001) and presence of "Mass" (HR:2.07, 95%CI:1.29-3.31, p=0.002) independently predicted local failure on multivariable analysis. The 1-year reirradiation rates and median times to reirradiation after SBRT vs. cEBRT, were 2.2% (95%CI: 0.4-7.0%) vs 15.8% (95%CI: 10.4-22.3%) (p=0.002) and 22.9 months vs. 9.5 months respectively. cEBRT (HR:2.60, 95%CI: 1.27-5.30, p=0.009) and radioresistant histology (HR:2.00, 95%CI: 1.12-3.60, p=0.020) independently predicted for reirradiation. 8/12 iatrogenic vertebral compression fractures (VCFs) were after SBRT and 4/12 after cEBRT; Grade 3 toxicities were isolated to the SBRT cohort (5/12). CONCLUSIONS Risk of local failure and reirradiation is lower with SBRT compared to cEBRT for spinal metastases. Although the iatrogenic VCF rates were within expectations, Grade 3 VCF were isolated to the SBRT cohort.
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Affiliation(s)
- K Liang Zeng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Zain A Husain
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Christopher D Witiw
- Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Jeremie Larouche
- Division of Orthopedic Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Leodante da Costa
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman Jabehdar Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Wendy R Parulekar
- Canadian Cancer Trials Group, Queens's University, Kingston, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.
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Abugharib A, Zeng KL, Tseng CL, Soliman H, Myrehaug S, Husain Z, Maralani PJ, Larouche J, Cheung P, Emmenegger U, Atenafu EG, Sahgal A, Detsky JS. Spine Stereotactic Body Radiotherapy for Prostate Cancer Metastases and the Impact of Hormone Sensitivity Status on Local Control. Neurosurgery 2022; 90:743-749. [PMID: 35343467 DOI: 10.1227/neu.0000000000001909] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/15/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Stereotactic body radiotherapy (SBRT) is used to deliver ablative dose of radiation to spinal metastases. OBJECTIVE To report the first dedicated series of spine SBRT specific to prostate cancer (PCa) metastases with outcomes reported according to hormone sensitivity status. METHODS A prospective database was reviewed identifying patients with PCa treated with spine SBRT. This included those with hormone-sensitive PCa (HSPC) and castrate-resistant PCa (CRPC). The primary end point was MRI-based local control (LC). RESULTS A total of 183 spine segments in 93 patients were identified; 146 segments had no prior radiation and 37 had been previously radiated; 27 segments were postoperative. The median follow-up was 31 months. At the time of SBRT, 50 patients had HSPC and the remaining 43 had CRPC. The most common fractionation scheme was 24-28 Gy in 2 SBRT fractions (76%). LC rates at 1 and 2 years were 99% and 95% and 94% and 78% for the HSPC and CRPC cohorts, respectively. For patients treated with de novo SBRT, a higher risk of local failure was observed in patients with CRPC (P = .0425). The 1-year and 2-year overall survival rates were significantly longer at 98% and 95% in the HSPC cohort compared with 79% and 65% in the CRPC cohort (P = .0005). The cumulative risk of vertebral compression fracture at 2 years was 10%. CONCLUSION Favorable LC rates were observed after spine SBRT for PCa metastases; strategies to improve long-term LC in patients with CRPC require further investigation.
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Affiliation(s)
- Ahmed Abugharib
- Department of Clinical Oncology, Sohag University Hospital, Sohag University, Sohag, Egypt.,Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - K Liang Zeng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Zain Husain
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman Jabehdar Maralani
- Department of Medical Imaging, Neuroradiology Division, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jeremie Larouche
- Department of Surgery, Division of Orthopaedic Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Patrick Cheung
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Urban Emmenegger
- Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jay S Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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Geraghty BJ, Dasgupta A, Sandhu M, Malik N, Maralani PJ, Detsky J, Tseng CL, Soliman H, Myrehaug S, Husain Z, Perry J, Lau A, Sahgal A, Czarnota GJ. Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiation planning volumes. J Neurooncol 2022; 156:579-588. [PMID: 34981301 DOI: 10.1007/s11060-021-03939-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 11/14/2021] [Accepted: 12/27/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Quantitative image analysis using pre-operative magnetic resonance imaging (MRI) has been able to predict survival in patients with glioblastoma (GBM). The study explored the role of postoperative radiation (RT) planning MRI-based radiomics to predict the outcomes, with features extracted from the gross tumor volume (GTV) and clinical target volume (CTV). METHODS Patients with IDH-wildtype GBM treated with adjuvant RT having MRI as a part of RT planning process were included in the study. 546 features were extracted from each GTV and CTV. A LASSO Cox model was applied, and internal validation was performed using leave-one-out cross-validation with overall survival as endpoint. Cross-validated time-dependent area under curve (AUC) was constructed to test the efficacy of the radiomics model, and clinical features were used to generate a combined model. Analysis was done for the entire group and in individual surgical groups-gross total excision (GTR), subtotal resection (STR), and biopsy. RESULTS 235 patients were included in the study with 57, 118, and 60 in the GTR, STR, and biopsy subgroup, respectively. Using the radiomics model, binary risk groups were feasible in the entire cohort (p < 0.01) and biopsy group (p = 0.04), but not in the other two surgical groups individually. The integrated AUC (iAUC) was 0.613 for radiomics-based classification in the biopsy subgroup, which improved to 0.632 with the inclusion of clinical features. CONCLUSION Imaging features extracted from the GTV and CTV regions can lead to risk-stratification of GBM undergoing biopsy, while the utility in other individual subgroups needs to be further explored.
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Affiliation(s)
- Benjamin J Geraghty
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Archya Dasgupta
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Michael Sandhu
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Nauman Malik
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Pejman Jabehdar Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada.,Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Zain Husain
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - James Perry
- Department of Neurology, Sunnybrook Health Sciences Centre, Toronto, Canada.,Department of Medicine, University of Toronto, Toronto, Canada
| | - Angus Lau
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Canada.,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Gregory J Czarnota
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada. .,Department of Radiation Oncology, University of Toronto, Toronto, Canada. .,Physical Sciences, Sunnybrook Research Institute, Toronto, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, Canada.
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Tan H, Stewart J, Ruschin M, Wang MH, Myrehaug S, Tseng CL, Detsky J, Husain Z, Chen H, Sahgal A, Soliman H. Inter-fraction dynamics during post-operative 5 fraction cavity hypofractionated stereotactic radiotherapy with a MR LINAC: a prospective serial imaging study. J Neurooncol 2022; 156:569-577. [PMID: 34981300 DOI: 10.1007/s11060-021-03938-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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: 10/30/2021] [Accepted: 12/27/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE/OBJECTIVE(S) This study examined changes in the clinical target volume (CTV) and associated clinical implications on a magnetic resonance imaging linear accelerator (MR LINAC) during hypofractionated stereotactic radiotherapy (HSRT) to resected brain metastases. In addition, the suitability of using T2/FLAIR (T2f) sequence to define CTV was explored by assessing contouring variability between gadolinium-enhanced T1 (T1c) and T2f sequences. MATERIALS/METHODS Fifteen patients treated to either 27.5 or 30 Gy with five fraction HSRT were imaged with T1c and T2f sequences during treatment; T1c was acquired at planning (FxSim), and fraction 3 (Fx3), and T2f was acquired at FxSim and all five fractions. The CTV were contoured on all acquired images. Inter-fraction cavity dynamics and CTV contouring variability were quantified using absolute volume, Dice similarity coefficient (DSC), and Hausdorff distance (HD) metrics. RESULTS The median CTV on T1c and T2f sequences at FxSim were 12.0cm3 (range, 1.2-30.1) and 10.2cm3 (range, 2.9-27.9), respectively. At Fx3, the median CTV decreased in both sequences to 9.3cm3 (range, 3.7-25.9) and 8.6cm3 (range, 3.3-22.5), translating to a median % relative reduction of - 11.4% on T1c (p = 0.009) and - 8.4% on T2f (p = 0.032). We observed a median % relative reduction in CTV between T1c and T2f at FxSim of - 6.0% (p = 0.040). The mean DSC was 0.85 ± 0.10, and the mean HD was 5.3 ± 2.7 mm when comparing CTV on T1c and T2f at FxSim. CONCLUSION Statistically significant reductions in cavity CTV was observed during HSRT, supporting the use of MR image guided radiation therapy and treatment adaptation to mitigate toxicity. Significant CTV contouring variability was seen between T1c and T2f sequences. Trial registration NCT04075305 - August 30, 2019.
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Affiliation(s)
- Hendrick Tan
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
- GenesisCare, Perth, WA, Australia
| | - James Stewart
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
- Department of Medical Physics, Sunnybrook Odette Cancer Centre, Toronto, Canada
| | - Michael H Wang
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Zain Husain
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Hanbo Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
- Department of Radiation Oncology, University of Toronto, Toronto, Canada.
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47
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Stewart J, Sahgal A, Chan AKM, Soliman H, Tseng CL, Detsky J, Myrehaug S, Atenafu EG, Helmi A, Perry J, Keith J, Jane Lim-Fat M, Munoz DG, Zadeh G, Shultz DB, Das S, Coolens C, Alcaide-Leon P, Maralani PJ. Pattern of Recurrence of Glioblastoma Versus Grade 4 IDH-Mutant Astrocytoma Following Chemoradiation: A Retrospective Matched-Cohort Analysis. Technol Cancer Res Treat 2022; 21:15330338221109650. [PMID: 35762826 PMCID: PMC9247382 DOI: 10.1177/15330338221109650] [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: 11/30/2022] Open
Abstract
Background and Purpose: To quantitatively compare the recurrence
patterns of glioblastoma (isocitrate dehydrogenase-wild type) versus grade 4
isocitrate dehydrogenase-mutant astrocytoma (wild type isocitrate dehydrogenase
and mutant isocitrate dehydrogenase, respectively) following primary
chemoradiation. Materials and Methods: A retrospective matched
cohort of 22 wild type isocitrate dehydrogenase and 22 mutant isocitrate
dehydrogenase patients were matched by sex, extent of resection, and corpus
callosum involvement. The recurrent gross tumor volume was compared to the
original gross tumor volume and clinical target volume contours from
radiotherapy planning. Failure patterns were quantified by the incidence and
volume of the recurrent gross tumor volume outside the gross tumor volume and
clinical target volume, and positional differences of the recurrent gross tumor
volume centroid from the gross tumor volume and clinical target volume.
Results: The gross tumor volume was smaller for wild type
isocitrate dehydrogenase patients compared to the mutant isocitrate
dehydrogenase cohort (mean ± SD: 46.5 ± 26.0 cm3 vs
72.2 ± 45.4 cm3, P = .026). The recurrent gross
tumor volume was 10.7 ± 26.9 cm3 and 46.9 ± 55.0 cm3
smaller than the gross tumor volume for the same groups
(P = .018). The recurrent gross tumor volume extended outside
the gross tumor volume in 22 (100%) and 15 (68%) (P= .009) of
wild type isocitrate dehydrogenase and mutant isocitrate dehydrogenase patients,
respectively; however, the volume of recurrent gross tumor volume outside the
gross tumor volume was not significantly different (12.4 ± 16.1 cm3
vs 8.4 ± 14.2 cm3, P = .443). The recurrent gross
tumor volume centroid was within 5.7 mm of the closest gross tumor volume edge
for 21 (95%) and 22 (100%) of wild type isocitrate dehydrogenase and mutant
isocitrate dehydrogenase patients, respectively. Conclusion: The
recurrent gross tumor volume extended beyond the gross tumor volume less often
in mutant isocitrate dehydrogenase patients possibly implying a differential
response to chemoradiotherapy and suggesting isocitrate dehydrogenase status
might be used to personalize radiotherapy. The results require validation in
prospective randomized trials.
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Affiliation(s)
- James Stewart
- Department of Radiation Oncology, Sunnybrook 151192Odette Cancer Centre, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook 151192Odette Cancer Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, 7938University of Toronto, Toronto, Ontario, Canada
| | - Aimee K M Chan
- Department of Medical Imaging, 7938University of Toronto, 71545Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook 151192Odette Cancer Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, 7938University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook 151192Odette Cancer Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, 7938University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook 151192Odette Cancer Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, 7938University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook 151192Odette Cancer Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, 7938University of Toronto, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, 7938University of Toronto, 7989University Health Network, Toronto, Ontario, Canada
| | - Ali Helmi
- Department of Medical Imaging, 7938University of Toronto, 71545Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - James Perry
- Division of Neurology, 7938University of Toronto, 71545Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Julia Keith
- Department of Laboratory Medicine & Pathobiology, 7938University of Toronto, 71545Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Mary Jane Lim-Fat
- Division of Neurology, 7938University of Toronto, 71545Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - David G Munoz
- Department of Pathology, 7938University of Toronto, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Gelareh Zadeh
- Division of Neurosurgery, Department of Surgery, 7938University of Toronto, 7989University Health Network, Toronto, Ontario, Canada
| | - David B Shultz
- Department of Radiation Oncology, 7938University of Toronto, Toronto, Ontario, Canada.,Department of Radiation Oncology, 7989University Health Network, Toronto, Ontario, Canada
| | - Sunit Das
- Division of Neurosurgery, Department of Surgery, 7938University of Toronto, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Catherine Coolens
- Department of Radiation Oncology, 7938University of Toronto, Toronto, Ontario, Canada.,Department of Radiation Oncology, 7989University Health Network, Toronto, Ontario, Canada
| | - Paula Alcaide-Leon
- Department of Medical Imaging, 7938University of Toronto, 7989University Health Network, Toronto, Ontario, Canada
| | - Pejman Jabehdar Maralani
- Department of Medical Imaging, 7938University of Toronto, 71545Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Wang MH, Kim A, Ruschin M, Tan H, Soliman H, Myrehaug S, Detsky J, Husain Z, Atenafu EG, Keller B, Sahgal A, Tseng CL. Comparison of Prospectively Generated Glioma Treatment Plans Clinically Delivered on Magnetic Resonance Imaging (MRI)-Linear Accelerator (MR-Linac) Versus Conventional Linac: Predicted and Measured Skin Dose. Technol Cancer Res Treat 2022; 21:15330338221124695. [PMID: 36071647 PMCID: PMC9459463 DOI: 10.1177/15330338221124695] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Introduction: Magnetic resonance imaging-linear accelerator
radiotherapy is an innovative technology that requires special consideration for
secondary electron interactions within the magnetic field, which can alter dose
deposition at air–tissue interfaces. As part of ongoing quality assurance and
quality improvement of new radiotherapy technologies, the purpose of this study
was to evaluate skin dose modelled from the treatment planning systems of a
magnetic resonance imaging-linear accelerator and a conventional linear
accelerator, and then correlate with in vivo measurements of delivered skin dose
from each linear accelerator. Methods: In this prospective cohort
study, 37 consecutive glioma patients had treatment planning completed and
approved prior to radiotherapy initiation using commercial treatment planning
systems: a Monte Carlo-based algorithm for magnetic resonance imaging-linear
accelerator or a convolution-based algorithm for conventional linear
accelerator. In vivo skin dose was measured using an optically stimulated
luminescent dosimeter. Results: Monte Carlo-based magnetic
resonance imaging-linear accelerator plans and convolution-based conventional
linear accelerator plans had similar dosimetric parameters for target volumes
and organs-at-risk. However, magnetic resonance imaging-linear accelerator plans
had 1.52 Gy higher mean dose to air cavities (P < .0001) and
1.10 Gy higher mean dose to skin (P < .0001). In vivo skin
dose was 14.5% greater for magnetic resonance imaging-linear accelerator
treatments (P = .0027), and was more accurately predicted by
Monte Carlo-based calculation (ρ = 0.95,
P < .0001) versus convolution-based
(ρ = 0.80, P = .0096).
Conclusion: This is the first prospective dosimetric comparison
of glioma patients clinically treated on both magnetic resonance imaging-linear
accelerator and conventional linear accelerator. Our findings suggest that skin
doses were significantly greater with magnetic resonance imaging-linear
accelerator plans but correlated better with in vivo measurements of actual skin
dose from delivered treatments. Future magnetic resonance imaging-linear
accelerator planning processes are being designed to account for skin dosimetry
and treatment delivery.
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Affiliation(s)
- Michael H Wang
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Anthony Kim
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada.,Department of Medical Physics, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada.,Department of Medical Physics, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Hendrick Tan
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Zain Husain
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, 7989University Health Network, 7938University of Toronto, Toronto, Ontario, Canada
| | - Brian Keller
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada.,Department of Medical Physics, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, 7938University of Toronto, Toronto, Ontario, Canada
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49
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Hudson JM, Chung HTK, Chu W, Taggar A, Davis LE, Hallet J, Law CHL, Singh S, Myrehaug S. Stereotactic Ablative Radiotherapy for the Management of Liver Metastases from Neuroendocrine Neoplasms: A Preliminary Study. Neuroendocrinology 2022; 112:153-160. [PMID: 33530088 DOI: 10.1159/000514914] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 01/21/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Liver metastases are common in patients with neuroendocrine neoplasms. The role of stereotactic ablative radiotherapy (SABR) is not well understood in this population. OBJECTIVE The objective of this study was to evaluate the safety and efficacy of SABR in treating well-differentiated neuroendocrine liver metastases (WD-NELM). METHODS A retrospective review of patients with WD-NELM treated with SABR was conducted between January 2015 and July 2019. Demographic, treatment, and clinical/radiographic follow-up data were abstracted. RECIST 1.1 criteria were applied to each individual target to evaluate the response to treatment. Local control (LC) and progression-free survival (PFS) were determined using the Kaplan-Meier methodology. Toxicity was reported according to the CTCAE v5.0. RESULTS Twenty-five patients with a total of 53 liver metastases treated with SABR were identified. Most patients (68%) had midgut tumors, were grade 2 (80%), and had high-volume intrahepatic and/or extrahepatic disease (76%). The median number of liver metastases treated was 2, with a median size of 2.5 cm. The median radiation dose delivered was 50 Gy/5 fractions. The median follow-up was 14 months; 24 of the 25 patients were alive at the time of analysis. The objective response rate was 32%, with improvement or stability in 96% of lesions treated. The median time to best response was 9 months. The 1-year LC and PFS were 92 and 44%, respectively. No grade 3/4 acute or late toxicity was identified. CONCLUSIONS Liver SABR is a safe and promising means of providing LC for WD-NELM. This treatment modality should be evaluated in selected patients in concert with strategies to manage systemic disease.
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Affiliation(s)
- John Monte Hudson
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Hans Tse-Kan Chung
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - William Chu
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Amandeep Taggar
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Laura Ellen Davis
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada
| | - Julie Hallet
- Department of Surgical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Calvin How Lim Law
- Department of Surgical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Simron Singh
- Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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50
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Bateni SB, Coburn NG, Law CHL, Singh S, Myrehaug S, Assal A, Hallet J. Incidence and Predictors of Second Primary Cancers in Patients With Neuroendocrine Tumors. JAMA Oncol 2021; 7:1718-1720. [PMID: 34591069 DOI: 10.1001/jamaoncol.2021.4531] [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: 11/14/2022]
Affiliation(s)
- Sarah B Bateni
- Division of General Surgery, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Natalie G Coburn
- Division of General Surgery, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Calvin H L Law
- Division of General Surgery, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Simron Singh
- Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sten Myrehaug
- Division of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Angela Assal
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada.,Division of Endocrinology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Julie Hallet
- Division of General Surgery, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Division of General Surgery, University of Toronto, Toronto, Ontario, Canada
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