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Kotecha R, La Rosa A, Brown PD, Vogelbaum MA, Navarria P, Bodensohn R, Niyazi M, Karschnia P, Minniti G. Multidisciplinary management strategies for recurrent brain metastasis after prior radiotherapy: An overview. Neuro Oncol 2025; 27:597-615. [PMID: 39495010 PMCID: PMC11889725 DOI: 10.1093/neuonc/noae220] [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] [Indexed: 11/05/2024] Open
Abstract
As cancer patients with intracranial metastatic disease experience increasingly prolonged survival, the diagnosis and management of recurrent brain metastasis pose significant challenges in clinical practice. Prior to deciding upon a management strategy, it is necessary to ascertain whether patients have recurrent/progressive disease vs adverse radiation effect, classify the recurrence as local or distant in the brain, evaluate the extent of intracranial disease (size, number and location of lesions, and brain metastasis velocity), the status of extracranial disease, and enumerate the interval from the last intracranially directed intervention to disease recurrence. A spectrum of salvage local treatment options includes surgery (resection and laser interstitial thermal therapy [LITT]) with or without adjuvant radiotherapy in the forms of external beam radiotherapy, intraoperative radiotherapy, or brachytherapy. Nonoperative salvage local treatments also range from single fraction and fractionated stereotactic radiosurgery (SRS/FSRS) to whole brain radiation therapy (WBRT). Optimal integration of systemic therapies, preferably with central nervous system (CNS) activity, may also require reinterrogation of brain metastasis tissue to identify actionable molecular alterations specific to intracranial progressive disease. Ultimately, the selection of the appropriate management approach necessitates a sophisticated understanding of patient, tumor, and prior treatment-related factors and is often multimodal; hence, interdisciplinary evaluation for such patients is indispensable.
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Affiliation(s)
- Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida, USA
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
- Department of Translational Medicine, Hebert Wertheim College of Medicine, Florida International University, Miami, Florida, USA
| | - Alonso La Rosa
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida, USA
- Department of Radiation Oncology, Hospital Universitario La Paz, Madrid, Spain
| | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Hospital-IRCCS, Rozzano, Milan, Italy
| | - Raphael Bodensohn
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
| | - Maximilian Niyazi
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Tübingen, Germany
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Philipp Karschnia
- Department of Neurosurgery, Friedrich-Alexander-University, Erlangen-Nuremberg, Germany
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
| | - Giuseppe Minniti
- Department of Radiological Sciences, Oncology, and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli (IS), Italy
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2
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Lin J, Kaiser Y, Wiestler B, Bernhardt D, Combs SE, Delbridge C, Meyer B, Gempt J, Aftahy AK. Cytoreduction of Residual Tumor Burden Is Decisive for Prolonged Survival in Patients with Recurrent Brain Metastases-Retrospective Analysis of 219 Patients. Cancers (Basel) 2023; 15:5067. [PMID: 37894435 PMCID: PMC10605169 DOI: 10.3390/cancers15205067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/10/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Despite advances in treatment for brain metastases (BMs), the prognosis for recurrent BMs remains poor and requires further research to advance clinical management and improve patient outcomes. In particular, data addressing the impact of tumor volume and surgical resection with regard to survival remain scarce. METHODS Adult patients with recurrent BMs between December 2007 and December 2022 were analyzed. A distinction was made between operated and non-operated patients, and the residual tumor burden (RTB) was determined by using (postoperative) MRI. Survival analysis was performed and RTB cutoff values were calculated using maximally selected log-rank statistics. In addition, further analyses on systemic tumor progression and (postoperative) tumor therapy were conducted. RESULTS In total, 219 patients were included in the analysis. Median age was 60 years (IQR 52-69). Median preoperative tumor burden was 2.4 cm3 (IQR 0.8-8.3), and postoperative tumor burden was 0.5 cm3 (IQR 0.0-2.9). A total of 95 patients (43.4%) underwent surgery, and complete cytoreduction was achieved in 55 (25.1%) patients. Median overall survival was 6 months (IQR 2-10). Cutoff RTB in all patients was 0.12 cm3, showing a significant difference (p = 0.00029) in overall survival (OS). Multivariate analysis showed preoperative KPSS (HR 0.983, 95% CI, 0.967-0.997, p = 0.015), postoperative tumor burden (HR 1.03, 95% CI 1.008-1.053, p = 0.007), and complete vs. incomplete resection (HR 0.629, 95% CI 0.420-0.941, p = 0.024) as significant. Longer survival was significantly associated with surgery for recurrent BMs (p = 0.00097), and additional analysis demonstrated the significant effect of complete resection on survival (p = 0.0027). In the subgroup of patients with systemic progression, a cutoff RTB of 0.97 cm3 (p = 0.00068) was found; patients who had received surgery also showed prolonged OS (p = 0.036). Single systemic therapy (p = 0.048) and the combination of radiotherapy and systemic therapy had a significant influence on survival (p = 0.036). CONCLUSIONS RTB is a strong prognostic factor for survival in patients with recurrent BMs. Operated patients with recurrent BMs showed longer survival independent of systemic progression. Maximal cytoreduction should be targeted to achieve better long-term outcomes.
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Affiliation(s)
- Jonas Lin
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
| | - Yannik Kaiser
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
| | - Benedikt Wiestler
- Department of Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
| | - Denise Bernhardt
- Department of Radiation Oncology, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Stephanie E. Combs
- Department of Radiation Oncology, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
- Department of Radiation Sciences (DRS) Helmholtz Zentrum Munich, Institute of Innovative Radiotherapy (iRT), 81675 Munich, Germany
| | - Claire Delbridge
- Department of Neuropathology, Institute of Pathology, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
| | - Jens Gempt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Amir Kaywan Aftahy
- Department of Neurosurgery, School of Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany
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Diehl CD, Giordano FA, Grosu AL, Ille S, Kahl KH, Onken J, Rieken S, Sarria GR, Shiban E, Wagner A, Beck J, Brehmer S, Ganslandt O, Hamed M, Meyer B, Münter M, Raabe A, Rohde V, Schaller K, Schilling D, Schneider M, Sperk E, Thomé C, Vajkoczy P, Vatter H, Combs SE. Opportunities and Alternatives of Modern Radiation Oncology and Surgery for the Management of Resectable Brain Metastases. Cancers (Basel) 2023; 15:3670. [PMID: 37509330 PMCID: PMC10377800 DOI: 10.3390/cancers15143670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
Postsurgical radiotherapy (RT) has been early proven to prevent local tumor recurrence, initially performed with whole brain RT (WBRT). Subsequent to disadvantageous cognitive sequalae for the patient and the broad distribution of modern linear accelerators, focal irradiation of the tumor has omitted WBRT in most cases. In many studies, the effectiveness of local RT of the resection cavity, either as single-fraction stereotactic radiosurgery (SRS) or hypo-fractionated stereotactic RT (hFSRT), has been demonstrated to be effective and safe. However, whereas prospective high-level incidence is still lacking on which dose and fractionation scheme is the best choice for the patient, further ablative techniques have come into play. Neoadjuvant SRS (N-SRS) prior to resection combines straightforward target delineation with an accelerated post-surgical phase, allowing an earlier start of systemic treatment or rehabilitation as indicated. In addition, low-energy intraoperative RT (IORT) on the surgical bed has been introduced as another alternative to external beam RT, offering sterilization of the cavity surface with steep dose gradients towards the healthy brain. This consensus paper summarizes current local treatment strategies for resectable brain metastases regarding available data and patient-centered decision-making.
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Affiliation(s)
- Christian D Diehl
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, 80336 München, Germany
| | - Frank A Giordano
- Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Anca-L Grosu
- Department of Radiation Oncology, University Medical Center, Medical Faculty, 79106 Freiburg, Germany
| | - Sebastian Ille
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Klaus-Henning Kahl
- Department of Radiation Oncology, University Medical Center Augsburg, 86156 Augsburg, Germany
| | - Julia Onken
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
- Berlin Institute of Health, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Stefan Rieken
- Department of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany
- Comprehensive Cancer Center Niedersachsen (CCC-N), 37075 Göttingen, Germany
| | - Gustavo R Sarria
- Department of Radiation Oncology, University Hospital Bonn, University of Bonn, 53127 Bonn, Germany
| | - Ehab Shiban
- Department of Neurosurgery, University Medical Center Augsburg, 86156 Augsburg, Germany
| | - Arthur Wagner
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Jürgen Beck
- Department of Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany
| | - Stefanie Brehmer
- Department of Neurosurgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Oliver Ganslandt
- Neurosurgical Clinic, Klinikum Stuttgart, 70174 Stuttgart, Germany
| | - Motaz Hamed
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Marc Münter
- Department of Radiation Oncology, Klinikum Stuttgart Katharinenhospital, 70174 Stuttgart, Germany
| | - Andreas Raabe
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Veit Rohde
- Department of Neurosurgery, Universitätsmedizin Göttingen, 37075 Göttingen, Germany
| | - Karl Schaller
- Department of Neurosurgery, University of Geneva Medical Center & Faculty of Medicine, 1211 Geneva, Switzerland
| | - Daniela Schilling
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Matthias Schneider
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Elena Sperk
- Mannheim Cancer Center, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Claudius Thomé
- Department of Neurosurgery, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Hartmut Vatter
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, 80336 München, Germany
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Steinmann J, Rapp M, Sadat H, Staub-Bartelt F, Turowski B, Steiger HJ, Hänggi D, Sabel M, Kamp MA. The impact of preoperative MRI-based apparent diffusion coefficients on local recurrence and outcome in patients with cerebral metastases. Br J Neurosurg 2023; 37:12-19. [PMID: 32990044 DOI: 10.1080/02688697.2020.1817856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Surgery of single cerebral metastases is standard but frequently fails to achieve local tumour control. Reliable predictors for local tumour progression and overall survival are unknown. MRI-based apparent diffusion coefficients (ADC) correlate with tumour cellularity and invasion. The present study analysed a potential relation between the MRI based apparent diffusion coefficients local recurrence and outcome in patients with brain metastases. METHODS A retrospective analysis was performed for patients with cerebral metastases and complete surgical resection evaluated by an early postoperative MRI < 72h. Minimal ADC and mean ADC were assessed in preoperative 1,5T-MRI scans by placing regions of interests in the tumour and the peritumoural tissue. RESULTS Analysis of the relation between ADC values, local progression and outcome was performed in 86 patients with a mean age of 59 years (range 33-83 years). Primary site was NSCLC in 37.2% of all cases. Despite complete resection 33.7% of all patients suffered from local in-brain-progression. There were no significant differences in ADC values in groups based on histology. In the present cohort, the mean ADCmin and the mean ADCmean within the metastasis did not differ significantly between patients with and without a later local in-brain progression (634 × 10-6 vs. 661 × 10-6 mm2/s and 1324 × 10-6 vs. 1361 × 10-6 mm2/s; 1100 × 10-6 vs. 1054 × 10-6 mm2/s; each p > 0.05). Mean ADC values did not correlate significantly with PFS and OAS. CONCLUSION In the present study analysed ADC values had no significant impact on local in brain progression and survival parameters.
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Affiliation(s)
- Julia Steinmann
- Klinik für Neurochirurgie, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - Marion Rapp
- Klinik für Neurochirurgie, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - Hosai Sadat
- Klinik für Neurochirurgie, Heinrich-Heine-Universität, Düsseldorf, Germany
| | | | - Bernd Turowski
- Klinik für Radiologie, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - Hans-Jakob Steiger
- Klinik für Neurochirurgie, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - Daniel Hänggi
- Klinik für Neurochirurgie, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - Michael Sabel
- Klinik für Neurochirurgie, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - Marcel A Kamp
- Klinik für Neurochirurgie, Heinrich-Heine-Universität, Düsseldorf, Germany
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5
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Tewarie IA, Hulsbergen AFC, Jessurun CAC, Rendon LF, Mekary RA, Smith TR, Broekman MLD. Risk Factors of Second Local Recurrence in Surgically Treated Recurrent Brain Metastases: An Exploratory Analysis. World Neurosurg 2022; 167:e639-e647. [PMID: 36028114 DOI: 10.1016/j.wneu.2022.08.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/12/2022] [Accepted: 08/13/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND A first local recurrence is common after resection or radiotherapy for brain metastasis (BM). However, patients with BMs can develop multiple local recurrences over time. Published data on second local recurrences are scarce. This study aimed to report predictors associated with a second local recurrence in patients with BMs who underwent a craniotomy for a first locally recurrent BM. METHODS Patients were identified from a database at Brigham and Women's Hospital in Boston. Hazard ratios and 95% confidence intervals for predictors of a second local recurrence were computed using a Cox proportional hazards model. RESULTS Of 170 identified surgically treated first locally recurrent lesions, 74 (43.5%) progressed to second locally recurrent lesions at a median of 7 months after craniotomy. Subtotal resection of the first local BM recurrence was significantly associated with shorter time to second local recurrence (hazard ratio = 2.09; 95% confidence interval, 1.27-3.45). Infratentorial location was associated with a worse second local recurrence prognosis (hazard ratio = 2.22; 95% confidence interval, 1.24-3.96). CONCLUSIONS A second local recurrence occurred after 43.5% of craniotomies for first recurrent lesions. Subtotal resection and infratentorial location were the strongest risk factors for worse second local recurrence prognosis following resection of first recurrent BM.
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Affiliation(s)
- Ishaan Ashwini Tewarie
- Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands; School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA; Department of Neurosurgery, Haaglanden Medical Center, The Hague, The Netherlands
| | - Alexander F C Hulsbergen
- Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands; School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA; Department of Neurosurgery, Haaglanden Medical Center, The Hague, The Netherlands
| | - Charissa A C Jessurun
- Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands; School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA; Department of Neurosurgery, Haaglanden Medical Center, The Hague, The Netherlands
| | - Luis F Rendon
- Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Rania A Mekary
- Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA
| | - Timothy R Smith
- Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Marike L D Broekman
- Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Department of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands; School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA; Department of Neurosurgery, Haaglanden Medical Center, The Hague, The Netherlands.
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6
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Hulsbergen AFC, Lo YT, Awakimjan I, Kavouridis VK, Phillips JG, Smith TR, Verhoeff JJC, Yu KH, Broekman MLD, Arnaout O. Survival Prediction After Neurosurgical Resection of Brain Metastases: A Machine Learning Approach. Neurosurgery 2022; 91:381-388. [PMID: 35608378 PMCID: PMC10553019 DOI: 10.1227/neu.0000000000002037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 03/24/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Current prognostic models for brain metastases (BMs) have been constructed and validated almost entirely with data from patients receiving up-front radiotherapy, leaving uncertainty about surgical patients. OBJECTIVE To build and validate a model predicting 6-month survival after BM resection using different machine learning algorithms. METHODS An institutional database of 1062 patients who underwent resection for BM was split into an 80:20 training and testing set. Seven different machine learning algorithms were trained and assessed for performance; an established prognostic model for patients with BM undergoing radiotherapy, the diagnosis-specific graded prognostic assessment, was also evaluated. Model performance was assessed using area under the curve (AUC) and calibration. RESULTS The logistic regression showed the best performance with an AUC of 0.71 in the hold-out test set, a calibration slope of 0.76, and a calibration intercept of 0.03. The diagnosis-specific graded prognostic assessment had an AUC of 0.66. Patients were stratified into regular-risk, high-risk and very high-risk groups for death at 6 months; these strata strongly predicted both 6-month and longitudinal overall survival ( P < .0005). The model was implemented into a web application that can be accessed through http://brainmets.morethanml.com . CONCLUSION We developed and internally validated a prediction model that accurately predicts 6-month survival after neurosurgical resection for BM and allows for meaningful risk stratification. Future efforts should focus on external validation of our model.
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Affiliation(s)
- Alexander F. C. Hulsbergen
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
- Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Yu Tung Lo
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
- Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Ilia Awakimjan
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
| | - Vasileios K. Kavouridis
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
| | - John G. Phillips
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
- Radiation Oncology, Tennessee Oncology, Nashville, Tennessee, USA
| | - Timothy R. Smith
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
| | - Joost J. C. Verhoeff
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Utrecht, The Netherlands
| | - Kun-Hsing Yu
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA;
| | - Marike L. D. Broekman
- Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, Leiden, The Netherlands
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Omar Arnaout
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
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7
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Kotecha R, Ahluwalia MS, Siomin V, McDermott MW. Surgery, Stereotactic Radiosurgery, and Systemic Therapy in the Management of Operable Brain Metastasis. Neurol Clin 2022; 40:421-436. [DOI: 10.1016/j.ncl.2021.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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8
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Hulsbergen AFC, Abunimer AM, Ida F, Kavouridis VK, Cho LD, Tewarie IA, Mekary RA, Schucht P, Phillips JG, Verhoeff JJC, Broekman MLD, Smith TR. Neurosurgical resection for locally recurrent brain metastasis. Neuro Oncol 2021; 23:2085-2094. [PMID: 34270740 DOI: 10.1093/neuonc/noab173] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND In patients with locally recurrent brain metastases (LRBMs), the role of (repeat) craniotomy is controversial. This study aimed to analyze long-term oncological outcomes in this heterogeneous population. METHODS Craniotomies for LRBM were identified from a tertiary neuro-oncological institution. First, we assessed overall survival (OS) and intracranial control (ICC) stratified by molecular profile, prognostic indices, and multimodality treatment. Second, we compared LRBMs to propensity score-matched patients who underwent craniotomy for newly diagnosed brain metastases (NDBM). RESULTS Across 180 patients, median survival after LRBM resection was 13.8 months and varied by molecular profile, with >24 months survival in ALK/EGFR+ lung adenocarcinoma and HER2+ breast cancer. Furthermore, 102 patients (56.7%) experienced intracranial recurrence; median time to recurrence was 5.6 months. Compared to NDBMs (n = 898), LRBM patients were younger, more likely to harbor a targetable mutation and less likely to receive adjuvant radiation (p < 0.05). After 1:3 propensity matching stratified by molecular profile, LRBM patients generally experienced shorter OS (hazard ratio 1.67 and 1.36 for patients with or without a mutation, p < 0.05) but similar ICC (hazard ratio 1.11 in both groups, p > 0.20) compared to NDBM patients with similar baseline. Results across specific molecular subgroups suggested comparable effect directions of varying sizes. CONCLUSIONS In our data, patients with LRBMs undergoing craniotomy comprised a subgroup of brain metastasis patients with relatively favorable clinical characteristics and good survival outcomes. Recurrent status predicted shorter OS but did not impact ICC. Craniotomy could be considered in selected, prognostically favorable patients.
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Affiliation(s)
- Alexander F C Hulsbergen
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, The Hague/Leiden, Zuid-Holland, The Netherlands
| | - Abdullah M Abunimer
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Fidelia Ida
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Department of Pharmaceutical Business and Administrative Sciences, School of Pharmacy, MCPHS University, Boston, Massachusetts, United States
| | - Vasileios K Kavouridis
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Department of Neurosurgery, St. Olavs Hospital, Trondheim, Norway
| | - Logan D Cho
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Icahn School of Medicine at Mount Sinai, New York City, New York, United States
| | - Ishaan A Tewarie
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, The Hague/Leiden, Zuid-Holland, The Netherlands
| | - Rania A Mekary
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Department of Pharmaceutical Business and Administrative Sciences, School of Pharmacy, MCPHS University, Boston, Massachusetts, United States
| | - Philippe Schucht
- Department of Neurosurgery, University Hospital Bern, Kanton Bern, Switzerland
| | - John G Phillips
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States.,Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Joost J C Verhoeff
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Utrecht, The Netherlands
| | - Marike L D Broekman
- Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, The Hague/Leiden, Zuid-Holland, The Netherlands.,Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Timothy R Smith
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
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Proescholdt MA, Schödel P, Doenitz C, Pukrop T, Höhne J, Schmidt NO, Schebesch KM. The Management of Brain Metastases-Systematic Review of Neurosurgical Aspects. Cancers (Basel) 2021; 13:1616. [PMID: 33807384 PMCID: PMC8036330 DOI: 10.3390/cancers13071616] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 03/23/2021] [Accepted: 03/26/2021] [Indexed: 02/07/2023] Open
Abstract
The multidisciplinary management of patients with brain metastases (BM) consists of surgical resection, different radiation treatment modalities, cytotoxic chemotherapy, and targeted molecular treatment. This review presents the current state of neurosurgical technology applied to achieve maximal resection with minimal morbidity as a treatment paradigm in patients with BM. In addition, we discuss the contribution of neurosurgical resection on functional outcome, advanced systemic treatment strategies, and enhanced understanding of the tumor biology.
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Affiliation(s)
- Martin A. Proescholdt
- Department of Neurosurgery, University Hospital Regensburg, 93053 Regensburg, Germany; (M.A.P.); (P.S.); (C.D.); (J.H.); (N.O.S.)
- Wilhelm Sander Neuro-Oncology Unit, University Hospital Regensburg, 93053 Regensbur, Germany;
| | - Petra Schödel
- Department of Neurosurgery, University Hospital Regensburg, 93053 Regensburg, Germany; (M.A.P.); (P.S.); (C.D.); (J.H.); (N.O.S.)
- Wilhelm Sander Neuro-Oncology Unit, University Hospital Regensburg, 93053 Regensbur, Germany;
| | - Christian Doenitz
- Department of Neurosurgery, University Hospital Regensburg, 93053 Regensburg, Germany; (M.A.P.); (P.S.); (C.D.); (J.H.); (N.O.S.)
- Wilhelm Sander Neuro-Oncology Unit, University Hospital Regensburg, 93053 Regensbur, Germany;
| | - Tobias Pukrop
- Wilhelm Sander Neuro-Oncology Unit, University Hospital Regensburg, 93053 Regensbur, Germany;
- Department of Medical Oncology, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Julius Höhne
- Department of Neurosurgery, University Hospital Regensburg, 93053 Regensburg, Germany; (M.A.P.); (P.S.); (C.D.); (J.H.); (N.O.S.)
- Wilhelm Sander Neuro-Oncology Unit, University Hospital Regensburg, 93053 Regensbur, Germany;
| | - Nils Ole Schmidt
- Department of Neurosurgery, University Hospital Regensburg, 93053 Regensburg, Germany; (M.A.P.); (P.S.); (C.D.); (J.H.); (N.O.S.)
- Wilhelm Sander Neuro-Oncology Unit, University Hospital Regensburg, 93053 Regensbur, Germany;
| | - Karl-Michael Schebesch
- Department of Neurosurgery, University Hospital Regensburg, 93053 Regensburg, Germany; (M.A.P.); (P.S.); (C.D.); (J.H.); (N.O.S.)
- Wilhelm Sander Neuro-Oncology Unit, University Hospital Regensburg, 93053 Regensbur, Germany;
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10
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Risk factors for in-brain local progression in elderly patients after resection of cerebral metastases. Sci Rep 2019; 9:7431. [PMID: 31092876 PMCID: PMC6520351 DOI: 10.1038/s41598-019-43942-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 05/02/2019] [Indexed: 12/26/2022] Open
Abstract
Intracranial metastases are the most frequent brain tumor with recurrence rates after treatment of around 40–60%. Age is still considered a determinant of treatment and prognosis in this pathology. Recent studies analyzing the impact of metastasectomy in elderly patients focused on reporting perioperative mortality and morbidity rates but not on the evaluation of oncological outcome parameters. Aim of this study is to determine risk factors for in-brain local recurrence after brain surgery in this sub-population. From October 2009 until September 2016 all patients aged 65 years and above with histopathologically confirmed metastasis after surgical resection were retrospectively studied. Clinical, radiological and perioperative information was collected and statistically analysed. Follow-up consisted of clinical and radiological assessment every 3-months following surgery. 78 patients were included, of these 50% were female (39 patients). Median age was 71 years (66–83). Early postoperative-MRI verified a complete surgical resection in 41 patients (52.6%) and showed a tumor-remnant in 15 patients (19.2%). In 22 patients the MRI result was inconclusive (28.2%). None of the patients experienced severe complications due to surgery. The median postoperative NIHSS was adequate 1 ± 1.4 (0–6), nonetheless, insignificantly improved in comparison to the preoperative NIHSS (p = 0.16). A total of 20 patients (25.6%) presented local recurrence. The only statistically significant factor for development of local in-brain recurrence after resection of cerebral metastases in patients above 65 years of age was a tumor-remnant in the early postoperative MRI (p = 0.00005). Median overall survival was 13 months. Local in-brain recurrence after surgical resection of a cerebral metastasis in patients above 65 years of age was 25.6%. In our analysis, tumor-remnant in early postoperative MRI is the only risk factor for local in-brain recurrence. Oncological parameters in the present cohort do not seem to differ from recent phase III studies with non-geriatric patients. Nevertheless, controlled studies on the impact of metastasectomy in elderly patients delivering high quality reliable data are required.
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Romagna A, Alexander R, Schwartz C, Ladisich B, Hitzl W, Heidorn SC, Winkler PA, Muacevic A. CyberKnife Radiosurgery in Recurrent Brain Metastases: Do the Benefits Outweigh the Risks? Cureus 2018; 10:e3741. [PMID: 30800551 PMCID: PMC6384047 DOI: 10.7759/cureus.3741] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Introduction Local treatment concepts are in high demand in the salvage treatment of recurrent brain metastases. Still, their risks and benefits are scarcely characterized. In this study, we analyzed the outcome and risk-/benefit-ratio of salvage CyberKnife (Accuray Incorporated, Sunnyvale, California, US) radiosurgery in the treatment of recurrent brain metastases after whole brain radiotherapy (WBRT). Materials and methods Seventy-six patients with 166 recurrent brain metastases and a multimodal pretreatment were retrospectively investigated. All patients underwent salvage CyberKnife radiosurgery (single fraction, reference dose: 17-22 Gy). Study endpoints were post-recurrence survival (PRS) after salvage treatment as well as local and distant tumor control rates. Central nervous system (CNS) toxicity was assessed according to the toxicity criteria of the Radiation Therapy Oncology Group and the European Organization for Research and Treatment of Cancer (RTOG/EORTC)). Results The population was homogenous regarding its demographic parameters. All patients had a history of WBRT prior to salvage CyberKnife radiosurgery. PRS was 13.3 months (10.4 - 16.2 months), one-year local and distant tumor control rates were 87% (95% CI: 75-99) and 38% (95% CI: 23-52), respectively. Eighteen patients suffered from RTOG/EORTC grade I/II toxicity. No toxicity-related risk factors were identified. Discussion This study found indicative survival and tumor control rates as well as a favorable risk/benefit ratio regarding radiotoxicity in salvage CyberKnife radiosurgery. These results point to a proactive therapeutic strategy based on appropriate patient selection instead of therapeutic nihilism.
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Affiliation(s)
| | - Romagna Alexander
- Neurosurgery, Christian-Doppler-Medical Center, Paracelsus Private Medical University, Salzburg, AUT
| | - Christoph Schwartz
- Neurosurgery, Christian-Doppler-Medical Center, Paracelsus Private Medical University, Salzburg, AUT
| | - Barbara Ladisich
- Neurosurgery, Christian-Doppler-Medical Center, Paracelsus Private Medical University, Salzburg, AUT
| | - Wolfgang Hitzl
- Biostatistics, Christian-Doppler-Medical Center, Paracelsus Private Medical University, Salzburg, AUT
| | | | - Peter A Winkler
- Neurosurgery, Christian-Doppler-Medical Center, Paracelsus Private Medical University, Salzburg, AUT
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Kamp MA, Munoz-Bendix C, Mijderwijk HJ, Turowski B, Dibué-Adjei M, von Saß C, Cornelius JF, Steiger HJ, Rapp M, Sabel M. Is 5-ALA fluorescence of cerebral metastases a prognostic factor for local recurrence and overall survival? J Neurooncol 2018; 141:547-553. [DOI: 10.1007/s11060-018-03066-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 11/28/2018] [Indexed: 11/30/2022]
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