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Kanakarajan H, De Baene W, Gehring K, Eekers DBP, Hanssens P, Sitskoorn M. Factors associated with the local control of brain metastases: a systematic search and machine learning application. BMC Med Inform Decis Mak 2024; 24:177. [PMID: 38907265 PMCID: PMC11191176 DOI: 10.1186/s12911-024-02579-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Enhancing Local Control (LC) of brain metastases is pivotal for improving overall survival, which makes the prediction of local treatment failure a crucial aspect of treatment planning. Understanding the factors that influence LC of brain metastases is imperative for optimizing treatment strategies and subsequently extending overall survival. Machine learning algorithms may help to identify factors that predict outcomes. METHODS This paper systematically reviews these factors associated with LC to select candidate predictor features for a practical application of predictive modeling. A systematic literature search was conducted to identify studies in which the LC of brain metastases is assessed for adult patients. EMBASE, PubMed, Web-of-Science, and the Cochrane Database were searched up to December 24, 2020. All studies investigating the LC of brain metastases as one of the endpoints were included, regardless of primary tumor type or treatment type. We first grouped studies based on primary tumor types resulting in lung, breast, and melanoma groups. Studies that did not focus on a specific primary cancer type were grouped based on treatment types resulting in surgery, SRT, and whole-brain radiotherapy groups. For each group, significant factors associated with LC were identified and discussed. As a second project, we assessed the practical importance of selected features in predicting LC after Stereotactic Radiotherapy (SRT) with a Random Forest machine learning model. Accuracy and Area Under the Curve (AUC) of the Random Forest model, trained with the list of factors that were found to be associated with LC for the SRT treatment group, were reported. RESULTS The systematic literature search identified 6270 unique records. After screening titles and abstracts, 410 full texts were considered, and ultimately 159 studies were included for review. Most of the studies focused on the LC of the brain metastases for a specific primary tumor type or after a specific treatment type. Higher SRT radiation dose was found to be associated with better LC in lung cancer, breast cancer, and melanoma groups. Also, a higher dose was associated with better LC in the SRT group, while higher tumor volume was associated with worse LC in this group. The Random Forest model predicted the LC of brain metastases with an accuracy of 80% and an AUC of 0.84. CONCLUSION This paper thoroughly examines factors associated with LC in brain metastases and highlights the translational value of our findings for selecting variables to predict LC in a sample of patients who underwent SRT. The prediction model holds great promise for clinicians, offering a valuable tool to predict personalized treatment outcomes and foresee the impact of changes in treatment characteristics such as radiation dose.
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Affiliation(s)
- Hemalatha Kanakarajan
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
| | - Wouter De Baene
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| | - Karin Gehring
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
| | - Daniëlle B P Eekers
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Patrick Hanssens
- Gamma Knife Center, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
| | - Margriet Sitskoorn
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
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Mangesius J, Seppi T, Arnold CR, Mangesius S, Kerschbaumer J, Demetz M, Minasch D, Vorbach SM, Sarcletti M, Lukas P, Nevinny-Stickel M, Ganswindt U. Prognosis versus Actual Outcomes in Stereotactic Radiosurgery of Brain Metastases: Reliability of Common Prognostic Parameters and Indices. Curr Oncol 2024; 31:1739-1751. [PMID: 38668035 PMCID: PMC11049204 DOI: 10.3390/curroncol31040132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/11/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
This study aims to evaluate the clinical outcome of stereotactic radiosurgery as the sole treatment for brain metastases and to assess prognostic factors influencing survival. A total of 108 consecutive patients with 213 metastases were retrospectively analyzed. Treatment was determined with close-meshed MRI follow-up. Various prognostic factors were assessed, and several prognostic indices were compared regarding their reliability to estimate overall survival. Median overall survival was 15 months; one-year overall survival was 50.5%. Both one- and two-year local controls were 90.9%. The rate of new metastases after SRS was 49.1%. Multivariate analysis of prognostic factors revealed that the presence of extracranial metastases, male sex, lower KPI, and progressive extracranial disease were significant risk factors for decreased survival. Of all evaluated prognostic indices, the Basic Score for Brain Metastases (BSBMs) showed the best correlation with overall survival. A substantial survival advantage was found for female patients after SRS when compared to male patients (18 versus 9 months, p = 0.003). SRS of brain metastasis is a safe and effective treatment option when frequent monitoring for new metastases with MRI is performed. Common prognostic scores lack reliable estimation of survival times. Female sex should be considered as an additional independent positive prognostic factor influencing survival.
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Affiliation(s)
- Julian Mangesius
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Thomas Seppi
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | | | - Stephanie Mangesius
- Department of Neuroradiology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Johannes Kerschbaumer
- Department of Neurosurgery, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Matthias Demetz
- Department of Neurosurgery, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Danijela Minasch
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Samuel Moritz Vorbach
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Manuel Sarcletti
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Peter Lukas
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | | | - Ute Ganswindt
- Department of Radiation Oncology, Medical University of Innsbruck, 6020 Innsbruck, Austria
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Schöpe M, Sahlmann J, Jaschik S, Findeisen A, Klautke G. Comparison of patient setup accuracy for optical surface-guided and X-ray-guided imaging with respect to the impact on intracranial stereotactic radiotherapy. Strahlenther Onkol 2024; 200:60-70. [PMID: 37971534 DOI: 10.1007/s00066-023-02170-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 10/11/2023] [Indexed: 11/19/2023]
Abstract
PURPOSE The objective of this work is to estimate the patient positioning accuracy of a surface-guided radiation therapy (SGRT) system using an optical surface scanner compared to an X‑ray-based imaging system (IGRT) with respect to their impact on intracranial stereotactic radiotherapy (SRT) and intracranial stereotactic radiosurgery (SRS). METHODS Patient positioning data, both acquired with SGRT and IGRT systems at the same linacs, serve as a basis for determination of positioning accuracy. A total of 35 patients with two different open face masks (578 datasets) were positioned using X‑ray stereoscopic imaging and the patient position inside the open face mask was recorded using SGRT. The measurement accuracy of the SGRT system (in a "standard" and an SRS mode with higher resolution) was evaluated using both IGRT and SGRT patient positioning datasets taking into account the measurement errors of the X‑ray system. Based on these clinically measured datasets, the positioning accuracy was estimated using Monte Carlo (MC) simulations. The relevant evaluation criterion, as standard of practice in cranial SRT, was the 95th percentile. RESULTS The interfractional measurement displacement vector of the SGRT system, σSGRT, in high resolution mode was estimated at 2.5 mm (68th percentile) and 5 mm (95th percentile). If the standard resolution was used, σSGRT increased by about 20%. The standard deviation of the axis-related σSGRT of the SGRT system ranged between 1.5 and 1.8 mm interfractionally and 0.5 and 1.0 mm intrafractionally. The magnitude of σSGRT is mainly due to the principle of patient surface scanning and not due to technical limitations or vendor-specific issues in software or hardware. Based on the resulting σSGRT, MC simulations served as a measure for the positioning accuracy for non-coplanar couch rotations. If an SGRT system is used as the only patient positioning device in non-coplanar fields, interfractional positioning errors of up to 6 mm and intrafractional errors of up to 5 mm cannot be ruled out. In contrast, MC simulations resulted in a positioning error of 1.6 mm (95th percentile) using the IGRT system. The cause of positioning errors in the SGRT system is mainly a change in the facial surface relative to a defined point in the brain. CONCLUSION In order to achieve the necessary geometric accuracy in cranial stereotactic radiotherapy, use of an X‑ray-based IGRT system, especially when treating with non-coplanar couch angles, is highly recommended.
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Affiliation(s)
- Michael Schöpe
- Department of Radiation Oncology, Klinikum Chemnitz gGmbH, Bürgerstraße 2, 09113, Chemnitz, Germany
| | - Jacob Sahlmann
- Department of Radiation Oncology, Klinikum Chemnitz gGmbH, Bürgerstraße 2, 09113, Chemnitz, Germany
| | - Stefan Jaschik
- Department of Radiation Oncology, Klinikum Chemnitz gGmbH, Bürgerstraße 2, 09113, Chemnitz, Germany.
| | - Anne Findeisen
- Department of Radiation Oncology, Klinikum Chemnitz gGmbH, Bürgerstraße 2, 09113, Chemnitz, Germany
| | - Gunther Klautke
- Department of Radiation Oncology, Klinikum Chemnitz gGmbH, Bürgerstraße 2, 09113, Chemnitz, Germany
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Radiation therapy for melanoma brain metastases: a systematic review. Radiol Oncol 2022; 56:267-284. [PMID: 35962952 PMCID: PMC9400437 DOI: 10.2478/raon-2022-0032] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 06/17/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Radiation therapy (RT) for melanoma brain metastases, delivered either as whole brain radiation therapy (WBRT) or as stereotactic radiosurgery (SRS), is an established component of treatment for this condition. However, evidence allowing comparison of the outcomes, advantages and disadvantages of the two RT modalities is scant, with very few randomised controlled trials having been conducted. This has led to considerable uncertainty and inconsistent guideline recommendations. The present systematic review identified 112 studies reporting outcomes for patients with melanoma brain metastases treated with RT. Three were randomised controlled trials but only one was of sufficient size to be considered informative. Most of the evidence was from non-randomised studies, either specific treatment series or disease cohorts. Criteria for determining treatment choice were reported in only 32 studies and the quality of these studies was variable. From the time of diagnosis of brain metastasis, the median survival after WBRT alone was 3.5 months (IQR 2.4-4.0 months) and for SRS alone it was 7.5 months (IQR 6.7-9.0 months). Overall patient survival increased over time (pre-1989 to 2015) but this was not apparent within specific treatment groups. CONCLUSIONS These survival estimates provide a baseline for determining the incremental benefits of recently introduced systemic treatments using targeted therapy or immunotherapy for melanoma brain metastases.
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Ahmed KA, Berglund AE, Welsh EA, Naghavi AO, Kim Y, Yu M, Robinson TJ, Eschrich SA, Johnstone PAS, Torres-Roca JF. The radiosensitivity of brain metastases based upon primary histology utilizing a multigene index of tumor radiosensitivity. Neuro Oncol 2019; 19:1145-1146. [PMID: 28379582 DOI: 10.1093/neuonc/nox043] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Affiliation(s)
- Kamran A Ahmed
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Anders E Berglund
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Eric A Welsh
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Arash O Naghavi
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Youngchul Kim
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Michael Yu
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Timothy J Robinson
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Steven A Eschrich
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Peter A S Johnstone
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Javier F Torres-Roca
- Departments of Radiation Oncology, Bioinformatics, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
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Balermpas P, Stera S, Müller von der Grün J, Loutfi-Krauss B, Forster MT, Wagner M, Keller C, Rödel C, Seifert V, Blanck O, Wolff R. Repeated in-field radiosurgery for locally recurrent brain metastases: Feasibility, results and survival in a heavily treated patient cohort. PLoS One 2018; 13:e0198692. [PMID: 29874299 PMCID: PMC5991396 DOI: 10.1371/journal.pone.0198692] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Accepted: 05/23/2018] [Indexed: 01/08/2023] Open
Abstract
Purpose Stereotactic radiosurgery (SRS) is an established primary treatment for newly diagnosed brain metastases with high local control rates. However, data about local re-irradiation in case of local failure after SRS (re-SRS) are rare. We evaluated the feasibility, efficacy and patient selection characteristics in treating locally recurrent metastases with a second course of SRS. Methods We retrospectively evaluated patients with brain metastases treated with re-SRS for local tumor progression between 2011 and 2017. Patient and treatment characteristics as well as rates of tumor control, survival and toxicity were analyzed. Results Overall, 32 locally recurrent brain metastases in 31 patients were irradiated with re-SRS. Median age at re-SRS was 64.9 years. The primary histology was breast cancer and non-small-cellular lung cancer (NSCLC) in respectively 10 cases (31.3%), in 5 cases malignant melanoma (15.6%). In the first SRS-course 19 metastases (59.4%) and in the re-SRS-course 29 metastases (90.6%) were treated with CyberKnife® and the others with Gamma Knife. Median planning target volume (PTV) for re-SRS was 2.5 cm3 (range, 0.1–37.5 cm3) and median dose prescribed to the PTV was 19 Gy (range, 12–28 Gy) in 1–5 fractions to the median 69% isodose (range, 53–80%). The 1-year overall survival rate was 61.7% and the 1-year local control rate was 79.5%. The overall rate of radiological radio-necrosis was 16.1% and four patients (12.9%) experienced grade ≥ 3 toxicities. Conclusions A second course of SRS for locally recurrent brain metastases after prior local SRS appears to be feasible with acceptable toxicity and can be considered as salvage treatment option for selected patients with high performance status. Furthermore, this is the first study utilizing robotic radiosurgery for this indication, as an additional option for frameless fractionated treatment.
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Affiliation(s)
- Panagiotis Balermpas
- Department of Radiation Oncology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
- Saphir Radiosurgery Center, Frankfurt, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK) partner site: Frankfurt am Main, Germany
- * E-mail:
| | - Susanne Stera
- Department of Radiation Oncology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Jens Müller von der Grün
- Department of Radiation Oncology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Britta Loutfi-Krauss
- Department of Radiation Oncology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Marie-Thérèse Forster
- Department of Neurosurgery, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Marlies Wagner
- Institute for Neuroradiology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Christian Keller
- Department of Radiation Oncology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
- Saphir Radiosurgery Center, Frankfurt, Germany
| | - Claus Rödel
- Department of Radiation Oncology, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK) partner site: Frankfurt am Main, Germany
| | - Volker Seifert
- Department of Neurosurgery, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
| | - Oliver Blanck
- Saphir Radiosurgery Center, Frankfurt, Germany
- Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Robert Wolff
- Saphir Radiosurgery Center, Frankfurt, Germany
- Department of Neurosurgery, University Hospital Johann Wolfgang Goethe University, Frankfurt, Germany
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Dosimetric superiority of flattening filter free beams for single-fraction stereotactic radiosurgery in single brain metastasis. Oncotarget 2018; 8:35272-35279. [PMID: 27823985 PMCID: PMC5471053 DOI: 10.18632/oncotarget.13085] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2016] [Accepted: 10/28/2016] [Indexed: 12/27/2022] Open
Abstract
For single-fraction stereotactic radiosurgery (SRS) using linac in brain metastases, more accurate treatment delivery with higher tumor absorbed doses and lower absorbed doses to normal tissues remains an enormous challenge. The purpose of this study was to investigate the dosimetric superiority in flattening filter free beams (FFF) for volumetric modulated arc therapy (VMAT) in single brain metastasis. 68 patients with single brain metastasis were included in this study. Every patient was subjected to VMAT treatment plans using 6 MV standard flattened (FF) beams (VMAT_FF) and 6 MV FFF beams (VMAT_FFF) with single fraction doses of 20 Gy. Dosimetric evaluation was performed by analysis of target coverage, dose gradients, beam-on time (BOT), gantry speed and number of monitor units (MU). There were no differences between VMAT_FF and VMAT_FFF plans in conformity and MU. VMAT_FFF plans showed obvious superiority in homogeneity, dose gradients and efficiency. For the mean BOT, VMAT_FFF plans provided a significant decrease by 42.8% compared with VMAT_FF. By the use of FFF beams, brain irradiation was minimized with about 2% reductions in low-dose regions (about 5-10 Gy). FFF beams not only resulted in more efficiency by reducing treatment time, but also provided further brain sparing compared to traditional techniques for SRS in single brain metastasis.
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Radiosurgery with flattening-filter-free techniques in the treatment of brain metastases. Strahlenther Onkol 2016; 192:789-796. [DOI: 10.1007/s00066-016-1012-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 06/08/2016] [Indexed: 01/10/2023]
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Iodine-125 brachytherapy as upfront and salvage treatment for brain metastases : A comparative analysis. Strahlenther Onkol 2016; 192:780-788. [PMID: 27349709 DOI: 10.1007/s00066-016-1009-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Accepted: 05/27/2016] [Indexed: 10/21/2022]
Abstract
BACKGROUND Outcome and toxicity profiles of salvage stereotactic ablative radiation strategies for recurrent pre-irradiated brain metastases are poorly defined. This study compared risk-benefit profiles of upfront and salvage iodine-125 brachytherapy (SBT) for small brain metastases. As the applied SBT treatment algorithm required histologic proof of metastatic brain disease in all patients, we additionally aimed to elucidate the value of biopsy before SBT. PATIENTS AND METHODS Patients with small untreated (n = 20) or pre-irradiated (n =28) suspected metastases intended for upfront or salvage SBT, respectively, were consecutively included. Temporary iodine-125 implants were used (median reference dose: 50 Gy, median dose rate: 15 cGy/h). Cumulative biologically effective doses (BED) were calculated and used for risk assessment. Treatment toxicity was classified according to Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer (RTOG/EORTC) criteria. RESULTS Upfront SBT was initiated in 20 patients and salvage SBT in 23. In 5 patients, salvage SBT was withheld because of proven radiation-induced lesions. Treatment groups exhibited similar epidemiologic data except for tumor size (which was slightly smaller in the salvage group). One-year local/distant tumor control rates after upfront and salvage SBT were similar (94 %/65 % vs. 87 %/57 %, p = 0.45, respectively). Grade I/II toxicity was suffered by 2 patients after salvage SBT (cumulative BED: 192.1 Gy3 and 249.6 Gy3). No toxicity-related risk factors were identified. CONCLUSION SBT combines diagnostic yield with effective treatment in selected patients. The low toxicity rate in the salvage group points to protective radiobiologic characteristics of continuous low-dose rate irradiation. Upfront and salvage SBT are similarly effective and safe. Histologic reevaluation should be reconsidered after previous radiotherapy to avoid under- or overtreatment.
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Bohoudi O, Bruynzeel AME, Lagerwaard FJ, Cuijpers JP, Slotman BJ, Palacios MA. Isotoxic radiosurgery planning for brain metastases. Radiother Oncol 2016; 120:253-7. [PMID: 27212141 DOI: 10.1016/j.radonc.2016.05.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Revised: 04/13/2016] [Accepted: 05/01/2016] [Indexed: 12/25/2022]
Abstract
PURPOSE/OBJECTIVE(S) Radionecrosis (RN) has previously been correlated with radiosurgery (RS) dose, lesion volume, and the volume of the brain receiving specific doses, i.e. V10-14Gy. A knowledge-based individualized estimation of the optimum RS dose has been derived based on lesional volume and brain toxicity parameters. METHODS AND MATERIALS A prediction model for brain toxicity parameters and estimation of the optimum RS dose was derived using 30 historical linac-based dynamic conformal arc RS plans for single brain metastases (BM) (0.2-20.3cc) with risk-adapted dose prescription ranging from 15 to 24Gy. Derivation of the model followed a three-step process: (1) Derivation of formulas for the prediction of brain toxicity parameters V10-18Gy; (2) Establishing the relationship of the coefficients used for the prediction of V12Gy with prescription dose; (3) Derivation of the optimum prescription dose for a given maximum V12Gy as a function of a given lesion volume. Model validation was performed on 65 new patients with 138 lesions (44 with multiple BM) treated with non-coplanar volumetric modulated stereotactic arc treatment (VMAT). RESULTS A linear dependence with the PTV size was found for all investigated brain toxicity parameters (V10-18Gy). Individualized RS prescription doses can be calculated for any given PTV size based on a linear relationship between V12Gy and PTV size, according to the formula PD=[V12Gy+0.96+(1.44×PTV)]/[0.12+(0.12×PTV)]. A very good correlation (R(2)=0.991) was found between the predicted V12Gy and the resulting V12Gy in 65 new patients with 138 lesions treated with non-coplanar VMAT technique in our clinic. CONCLUSIONS A simple formula is proposed for estimation of the optimal individual RS dose for any given lesion volume for patients with (multiple) BM. This formula is based on calculation of the brain toxicity parameter, V12Gy, for the normal brain minus PTV.
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Affiliation(s)
- Omar Bohoudi
- Dept. Of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Anna M E Bruynzeel
- Dept. Of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Frank J Lagerwaard
- Dept. Of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Johan P Cuijpers
- Dept. Of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Ben J Slotman
- Dept. Of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Miguel A Palacios
- Dept. Of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands.
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Xiang Z, Chen J, Zhang H, Shen L, Wei Q. Whole Brain Radiotherapy-Based Combined Modality Treatment of Brain Metastases from Non-Small Cell Lung Cancer: A Retrospective Analysis of Prognostic Factors. Oncol Res Treat 2015; 38:35-40. [DOI: 10.1159/000371501] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Accepted: 11/27/2014] [Indexed: 11/19/2022]
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A new tool predicting survival after radiosurgery alone for one or two cerebral metastases from lung cancer. Lung 2014; 193:299-302. [PMID: 25528743 DOI: 10.1007/s00408-014-9676-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Accepted: 12/15/2014] [Indexed: 10/24/2022]
Abstract
Radiosurgery is frequently used for patients with few cerebral metastases. Decisions regarding personalized treatment should include the patient's survival prognosis. Prognostic tools should be available for estimating the remaining lifetime for each primary tumor and treatment. We designed such a tool for patients receiving radiosurgery alone for cerebral metastases from lung cancer. Ten variables were analyzed in 98 patients. On multivariate analysis, extra-cranial spread was significantly associated with worse survival (p < 0.001). A trend was observed for poorer performance status (p = 0.08) and greater diameter of cerebral lesions (p = 0.07). Points for the tool were derived from 12-month survival rates of these variables and added, resulting in sum scores of 10-16 points. Three groups were built, 10-12, 14-15, and 16 points with 12-month survival rates of 22, 52, and 79% (p < 0.001). This new tool enables physicians to estimate the survival of lung cancer patients with few cerebral metastases which should impact individualized treatment choices.
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