1
|
Dumot C, Mantziaris G, Dayawansa S, Xu Z, Pikis S, Peker S, Samanci Y, Ardor GD, Nabeel AM, Reda WA, Tawadros SR, Abdelkarim K, El-Shehaby AMN, Emad Eldin RM, Elazzazi AH, Moreno NM, Martínez Álvarez R, Liscak R, May J, Mathieu D, Tourigny JN, Tripathi M, Rajput A, Kumar N, Kaur R, Picozzi P, Franzini A, Speckter H, Hernandez W, Brito A, Warnick RE, Alzate J, Kondziolka D, Bowden GN, Patel S, Sheehan J. Stereotactic radiosurgery for haemorrhagic cerebral cavernous malformation: a multi-institutional, retrospective study. Stroke Vasc Neurol 2024; 9:221-229. [PMID: 37586775 PMCID: PMC11221296 DOI: 10.1136/svn-2023-002380] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 07/02/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND Cerebral cavernous malformations (CCMs) frequently manifest with haemorrhages. Stereotactic radiosurgery (SRS) has been employed for CCM not suitable for resection. Its effect on reducing haemorrhage risk is still controversial. The aim of this study was to expand on the safety and efficacy of SRS for haemorrhagic CCM. METHODS This retrospective multicentric study included CCM with at least one haemorrhage treated with single-session SRS. The annual haemorrhagic rate (AHR) was calculated before and after SRS. Recurrent event analysis and Cox regression were used to evaluate factors associated with haemorrhage. Adverse radiation effects (AREs) and occurrence of new neurological deficits were recorded. RESULTS The study included 381 patients (median age: 37.5 years (Q1-Q3: 25.8-51.9) with 414 CCMs. The AHR from diagnosis to SRS excluding the first haemorrhage was 11.08 per 100 CCM-years and was reduced to 2.7 per 100 CCM-years after treatment. In recurrent event analysis, SRS, HR 0.27 (95% CI 0.17 to 0.44), p<0.0001 was associated with a decreased risk of haemorrhage, and the presence of developmental venous anomaly (DVA) with an increased risk, HR 1.60 (95% CI 1.07 to 2.40), p=0.022. The cumulative risk of first haemorrhage after SRS was 9.4% (95% CI 6% to 12.6%) at 5 years and 15.6% (95% CI% 9 to 21.8%) at 10 years. Margin doses> 13 Gy, HR 2.27 (95% CI 1.20 to 4.32), p=0.012 and the presence of DVA, HR 2.08 (95% CI 1.00 to 4.31), p=0.049 were factors associated with higher probability of post-SRS haemorrhage. Post-SRS haemorrhage was symptomatic in 22 out of 381 (5.8%) patients, presenting with transient (15/381) or permanent (7/381) neurological deficit. ARE occurred in 11.1% (46/414) CCM and was responsible for transient neurological deficit in 3.9% (15/381) of the patients and permanent deficit in 1.1% (4/381) of the patients. Margin doses >13 Gy and CCM volume >0.7 cc were associated with increased risk of ARE. CONCLUSION Single-session SRS for haemorrhagic CCM is associated with a decrease in haemorrhage rate. Margin doses ≤13 Gy seem advisable.
Collapse
Affiliation(s)
- Chloe Dumot
- Department of Neurological Surgery, Hospices Civils de Lyon, Lyon, France
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Georgios Mantziaris
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Sam Dayawansa
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Zhiyuan Xu
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Stylianos Pikis
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| | - Selcuk Peker
- Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey
| | - Yavuz Samanci
- Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey
| | - Gokce D Ardor
- Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey
| | - Ahmed M Nabeel
- Gamma-knife Center, Nasser institute Hospital, Cairo, Egypt
- Neurosurgery Department, Benha University, Benha, Egypt
| | - Wael A Reda
- Gamma-knife Center, Nasser institute Hospital, Cairo, Egypt
- Departments of Neurosurgery, Ain Shams University, Cairo, Egypt
| | - Sameh R Tawadros
- Gamma-knife Center, Nasser institute Hospital, Cairo, Egypt
- Departments of Neurosurgery, Ain Shams University, Cairo, Egypt
| | - Khaled Abdelkarim
- Gamma-knife Center, Nasser institute Hospital, Cairo, Egypt
- Department of Clinical Oncology, Ain Shams University, Cairo, Egypt
| | - Amr M N El-Shehaby
- Gamma-knife Center, Nasser institute Hospital, Cairo, Egypt
- Departments of Neurosurgery, Ain Shams University, Cairo, Egypt
| | - Reem M Emad Eldin
- Gamma-knife Center, Nasser institute Hospital, Cairo, Egypt
- Department of Radiation Oncology, National Cancer Institute, Cairo University, Giza, Egypt
| | - Ahmed H Elazzazi
- Faculty of Medicine, Extended Modular Program, Ain Shams University, Cairo, Egypt
| | | | | | - Roman Liscak
- Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czech Republic
| | - Jaromir May
- Department of Stereotactic and Radiation Neurosurgery, Na Homolce Hospital, Prague, Czech Republic
| | - David Mathieu
- Neurosurgery, Centre de recherche du CHUS, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Jean-Nicolas Tourigny
- Neurosurgery, Centre de recherche du CHUS, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | | | | | - Narendra Kumar
- Radiation Therapy, PGIMER, Chandigarh, Chandigarh, India
| | | | - Piero Picozzi
- Neurosurgery, IRCCS Istituto Clinico Humanitas, Rozzano, Milan, Italy
| | - Andrea Franzini
- Neurosurgery, IRCCS Istituto Clinico Humanitas, Rozzano, Milan, Italy
| | - Herwin Speckter
- Dominican Gamma Knife Center and Radiology Department, CEDIMAT, Santo Domingo, Dominican Republic
| | - Wenceslao Hernandez
- Dominican Gamma Knife Center and Radiology Department, CEDIMAT, Santo Domingo, Dominican Republic
| | - Anderson Brito
- Dominican Gamma Knife Center and Radiology Department, CEDIMAT, Santo Domingo, Dominican Republic
| | - Ronald E Warnick
- Gamma Knife Center, Mayfield Clinic, The Jewish Hospital - Mercy Health, Cincinnati, Ohio, USA
| | - Juan Alzate
- Neurosurgery, NYU Langone Health, New York, New York, USA
| | | | - Greg N Bowden
- Neurosurgery, University of Alberta, Edmonton, Alberta, Canada
| | - Samir Patel
- Division of Radiation Oncology, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Jason Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
| |
Collapse
|
2
|
Li X, Jones P, Zhao M. Identifying potential (re)hemorrhage among sporadic cerebral cavernous malformations using machine learning. Sci Rep 2024; 14:11022. [PMID: 38745042 PMCID: PMC11094099 DOI: 10.1038/s41598-024-61851-4] [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: 06/08/2023] [Accepted: 05/10/2024] [Indexed: 05/16/2024] Open
Abstract
The (re)hemorrhage in patients with sporadic cerebral cavernous malformations (CCM) was the primary aim for CCM management. However, accurately identifying the potential (re)hemorrhage among sporadic CCM patients in advance remains a challenge. This study aims to develop machine learning models to detect potential (re)hemorrhage in sporadic CCM patients. This study was based on a dataset of 731 sporadic CCM patients in open data platform Dryad. Sporadic CCM patients were followed up 5 years from January 2003 to December 2018. Support vector machine (SVM), stacked generalization, and extreme gradient boosting (XGBoost) were used to construct models. The performance of models was evaluated by area under receiver operating characteristic curves (AUROC), area under the precision-recall curve (PR-AUC) and other metrics. A total of 517 patients with sporadic CCM were included (330 female [63.8%], mean [SD] age at diagnosis, 42.1 [15.5] years). 76 (re)hemorrhage (14.7%) occurred during follow-up. Among 3 machine learning models, XGBoost model yielded the highest mean (SD) AUROC (0.87 [0.06]) in cross-validation. The top 4 features of XGBoost model were ranked with SHAP (SHapley Additive exPlanations). All-Elements XGBoost model achieved an AUROCs of 0.84 and PR-AUC of 0.49 in testing set, with a sensitivity of 0.86 and a specificity of 0.76. Importantly, 4-Elements XGBoost model developed using top 4 features got a AUROCs of 0.83 and PR-AUC of 0.40, a sensitivity of 0.79, and a specificity of 0.72 in testing set. Two machine learning-based models achieved accurate performance in identifying potential (re)hemorrhages within 5 years in sporadic CCM patients. These models may provide insights for clinical decision-making.
Collapse
Affiliation(s)
- Xiaopeng Li
- Department of Neurology, The First Affiliated Hospital of Henan University, Kaifeng, China
| | - Peng Jones
- Independent Researcher, Xinyang, Henan, China
| | - Mei Zhao
- Department of Neurology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Street, Nanchang, 330006, Jiangxi, China.
| |
Collapse
|
3
|
Flemming KD, Kim H, Hage S, Mandrekar J, Kinkade S, Girard R, Torbey M, Huang J, Huston J, Shu Y, Lanzino G, Selwyn R, Hart B, Mabray M, Feghali J, Sair HI, Narvid J, Lupo JM, Lee J, Stadnik A, Alcazar-Felix RJ, Shenkar R, Lane K, McBee N, Treine K, Ostapkovich N, Wang Y, Thompson R, Koenig JI, Carroll T, Hanley D, Awad I. Trial Readiness of Cavernous Malformations With Symptomatic Hemorrhage, Part I: Event Rates and Clinical Outcome. Stroke 2024; 55:22-30. [PMID: 38134268 PMCID: PMC10752254 DOI: 10.1161/strokeaha.123.044068] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 10/12/2023] [Accepted: 10/17/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Cerebral cavernous malformation with symptomatic hemorrhage (SH) are targets for novel therapies. A multisite trial-readiness project (https://www.clinicaltrials.gov; Unique identifier: NCT03652181) aimed to identify clinical, imaging, and functional changes in these patients. METHODS We enrolled adult cerebral cavernous malformation patients from 5 high-volume centers with SH within the prior year and no planned surgery. In addition to clinical and imaging review, we assessed baseline, 1- and 2-year National Institutes of Health Stroke Scale, modified Rankin Scale, European Quality of Life 5D-3 L, and patient-reported outcome-measurement information system, Version 2.0. SH and asymptomatic change rates were adjudicated. Changes in functional scores were assessed as a marker for hemorrhage. RESULTS One hundred twenty-three, 102, and 69 patients completed baseline, 1- and 2-year clinical assessments, respectively. There were 21 SH during 178.3 patient years of follow-up (11.8% per patient year). At baseline, 62.6% and 95.1% of patients had a modified Rankin Scale score of 1 and National Institutes of Health Stroke Scale score of 0 to 4, respectively, which improved to 75.4% (P=0.03) and 100% (P=0.06) at 2 years. At baseline, 74.8% had at least one abnormal patient-reported outcome-measurement information system, Version 2.0 domain compared with 61.2% at 2 years (P=0.004). The most common abnormal European Quality of Life 5D-3 L domains were pain (48.7%), anxiety (41.5%), and participation in usual activities (41.4%). Patients with prospective SH were more likely than those without SH to display functional decline in sleep, fatigue, and social function patient-reported outcome-measurement information system, Version 2.0 domains at 2 years. Other score changes did not differ significantly between groups at 2 years. The sensitivity of scores as an SH marker remained poor at the time interval assessed. CONCLUSIONS We report SH rate, functional, and patient-reported outcomes in trial-eligible cerebral cavernous malformation with SH patients. Functional outcomes and patient-reported outcomes generally improved over 2 years. No score change was highly sensitive or specific for SH and could not be used as a primary end point in a trial.
Collapse
Affiliation(s)
| | - Helen Kim
- Center for Cerebrovascular Research, Department of Anesthesiology and Perioperative Care, University of California San Francisco, San Francisco, California, USA
| | - Stephanie Hage
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Jay Mandrekar
- Department of Biostatistics, Mayo Clinic, Rochester, MN USA
| | - Serena Kinkade
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Romuald Girard
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Michel Torbey
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - John Huston
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Yunhong Shu
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Reed Selwyn
- Department of Radiology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Blaine Hart
- Department of Radiology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Marc Mabray
- Department of Radiology, University of New Mexico, Albuquerque, New Mexico, USA
| | - James Feghali
- Department of Neurosurgery, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - Haris I. Sair
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jared Narvid
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Janine M. Lupo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - Justine Lee
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Agnieszka Stadnik
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Roberto J. Alcazar-Felix
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Robert Shenkar
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Karen Lane
- Brain Injury Outcomes Unit, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - Nichole McBee
- Brain Injury Outcomes Unit, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - Kevin Treine
- Brain Injury Outcomes Unit, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - Noeleen Ostapkovich
- Brain Injury Outcomes Unit, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - Ying Wang
- Brain Injury Outcomes Unit, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - Richard Thompson
- Brain Injury Outcomes Unit, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - James I. Koenig
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA
| | - Timothy Carroll
- Department of Diagnostic Radiology, The University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| | - Daniel Hanley
- Brain Injury Outcomes Unit, Department of Neurology, Johns Hopkins University Medical Institutions, Baltimore, Maryland, USA
| | - Issam Awad
- Neurovascular Surgery Program, Department of Neurological Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA
| |
Collapse
|
4
|
Tasiou A, Brotis AG, Kalogeras A, Tzerefos C. Cavernous malformations of the central nervous system: An international consensus statement. BRAIN & SPINE 2023; 3:102707. [PMID: 38020995 PMCID: PMC10668094 DOI: 10.1016/j.bas.2023.102707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/19/2023] [Accepted: 11/04/2023] [Indexed: 12/01/2023]
Abstract
Introduction Cavernous malformations (CM) of the central nervous system constitute rare vascular lesions. They are usually asymptomatic, which has allowed their management to become quite debatable. Even when they become symptomatic their optimal mode and timing of treatment remains controversial. Research question A consensus may navigate neurosurgeons through the decision-making process of selecting the optimal treatment for asymptomatic and symptomatic CMs. Material and methods A 17-item questionnaire was developed to address controversial issues in relation to aspects of the treatment, surgical planning, optimal surgical strategy for specific age groups, the role of stereotactic radiosurgery, as well as a follow-up pattern. Consequently, a three-stage Delphi process was ran through 19 invited experts with the goal of reaching a consensus. The agreement rate for reaching a consensus was set at 70%. Results A consensus for surgical intervention was reached on the importance of the patient's age, symptomatology, and hemorrhagic recurrence; and the CM's location and size. The employment of advanced MRI techniques is considered of value for surgical planning. Observation for asymptomatic eloquent or deep-seated CMs represents the commonest practice among our panel. Surgical resection is considered when a deep-seated CM becomes symptomatic or after a second bleeding episode. Asymptomatic, image-proven hemorrhages constituted no indication for surgical resection for our panelists. Consensus was also reached on not resecting any developmental venous anomalies, and on resecting the associated hemosiderin rim only in epilepsy cases. Discussion and conclusion Our Delphi consensus provides an expert common practice for specific controversial issues of CM patient management.
Collapse
Affiliation(s)
- Anastasia Tasiou
- Department of Neurosurgery, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Alexandros G. Brotis
- Department of Neurosurgery, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Adamantios Kalogeras
- Department of Neurosurgery, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Christos Tzerefos
- Department of Neurosurgery, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece
| |
Collapse
|