1
|
Ren L, Chen J, Deng J, Qing X, Cheng H, Wang D, Ji J, Chen H, Juratli TA, Wakimoto H, Gong Y, Hua L. The development of a combined clinico-radiomics model for predicting post-operative recurrence in atypical meningiomas: a multicenter study. J Neurooncol 2024; 166:59-71. [PMID: 38146046 DOI: 10.1007/s11060-023-04511-3] [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: 10/27/2023] [Accepted: 11/14/2023] [Indexed: 12/27/2023]
Abstract
PURPOSE Atypical meningiomas could manifest early recurrence after surgery and even adjuvant radiotherapy. We aimed to construct a clinico-radiomics model to predict post-operative recurrence of atypical meningiomas based on clinicopathological and radiomics features. MATERIALS AND METHODS The study cohort was comprised of 224 patients from two neurosurgical centers. 164 patients from center I were divided to the training cohort for model development and the testing cohort for internal validation. 60 patients from center II were used for external validation. Clinicopathological characteristics, radiological semantic, and radiomics features were collected. A radiomic signature was comprised of four radiomics features. A clinico-radiomics model combining the radiomics signature and clinical characteristics was constructed to predict the recurrence of atypical meningiomas. RESULTS 1920 radiomics features were extracted from the T1 Contrast and T2-FLAIR sequences of patients in center I. The radiomics signature was able to differentiate post-operative patients into low-risk and high-risk groups based on tumor recurrence (P < 0.001). A clinic-radiomics model was established by combining age, extent of resection, Ki-67 index, surgical history and the radiomics signature for recurrence prediction in atypical meningiomas. The model achieved a good prediction performance with the integrated AUC of 0.858 (0.802-0.915), 0.781 (0.649-0.912) and 0.840 (0.747-0.933) in the training, internal validation and external validation cohort, respectively. CONCLUSIONS The present study established a radiomics signature and a clinico-radiomics model with a favorable performance in predicting tumor recurrence for atypical meningiomas.
Collapse
Affiliation(s)
- Leihao Ren
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China
| | - Jiawei Chen
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China
| | - Jiaojiao Deng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China
| | - Xie Qing
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China
| | - Haixia Cheng
- Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Daijun Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China
| | - Jing Ji
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hong Chen
- Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tareq A Juratli
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Ye Gong
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
- Institute of Neurosurgery, Fudan University, Shanghai, China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China.
- Department of Critical Care Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Lingyang Hua
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
- Institute of Neurosurgery, Fudan University, Shanghai, China.
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China.
| |
Collapse
|
2
|
Alhalabi OT, Heene S, Landré V, Neumann JO, Scherer M, Ishak B, Kiening K, Zweckberger K, Unterberg AW, Younsi A. Spinal oncologic paraparesis: Analysis of neurological and surgical outcomes in patients with intramedullary, extramedullary, and extradural tumors. Front Oncol 2023; 12:1003084. [PMID: 36686806 PMCID: PMC9846080 DOI: 10.3389/fonc.2022.1003084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 12/12/2022] [Indexed: 01/05/2023] Open
Abstract
Objectives Paraparesis due to oncologic lesions of the spine warrants swift neurosurgical intervention to prevent permanent disability and hence maintain independence of affected patients. Clinical parameters that predict a favorable outcome after surgical intervention could aid decision-making in emergency situations. Methods Patients who underwent surgical intervention for paraparesis (grade of muscle strength <5 according to the British Medical Research Council grading system) secondary to spinal neoplasms between 2006 and 2020 were included in a single-center retrospective analysis. Pre- and postoperative clinical data were collected. The neurological status was assessed using the modified McCormick Disability Scale (mMcC) Score. In a univariate analysis, patients with favorable (discharge mMcC improved or stable at <3) and non-favorable outcome (discharge mMcC deteriorated or stable at >2) and different tumor anatomical compartments were statistically compared. Results 117 patients with oncologic paraparesis pertaining to intramedullary lesions (n=17, 15%), intradural extramedullary (n=24, 21%) and extradural lesions (n=76, 65%) with a mean age of 65.3 ± 14.6 years were included in the analysis. Thoracic tumors were the most common (77%), followed by lumbar and cervical tumors (13% and 12%, respectively). Surgery was performed within a mean of 36±60 hours of admission across all tumors and included decompression over a median of 2 segments (IQR:1-3) and mostly subtotal tumor resection (n=83, 71%). Surgical and medical complications were documented in 9% (n=11) and 7% (n=8) of cases, respectively. The median hospital length-of-stay was 9 (7-13) days. Upon discharge, the median mMcC score had improved from 3 to 2 (p<0.0001). At last follow-up (median 180; IQR 51-1080 days), patients showed an improvement in their mean Karnofsky Performance Score (KPS) from 51.7±18.8% to 65.3±20.4% (p<0.001). Localization in the intramedullary compartment, a high preoperative mMcC score, in addition to bladder and bowel dysfunction were associated with a non-favorable outcome (p<0.001). Conclusion The data presented on patients with spinal oncologic paraparesis provide a risk-benefit narrative that favors surgical intervention across all etiologies. At the same time, they outline clinical factors that confer a less-favorable outcome like intramedullary tumor localization, a high McCormick score and/or bladder and bowel abnormalities at admission.
Collapse
Affiliation(s)
- Obada T. Alhalabi
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany,*Correspondence: Obada T. Alhalabi,
| | - Stefan Heene
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Vincent Landré
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Jan-Oliver Neumann
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Moritz Scherer
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Basem Ishak
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Karl Kiening
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Zweckberger
- Department of Neurosurgery, City Hospital of Brunswick, Brunswick, Germany
| | | | - Alexander Younsi
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| |
Collapse
|
3
|
Ueno H, Tsutsumi S, Hashizume A, Sugiyama N, Ishii H. Atypical meningioma originating from the spinal accessory nerve. Surg Neurol Int 2022; 13:598. [PMID: 36761262 PMCID: PMC9899469 DOI: 10.25259/sni_1085_2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 12/20/2022] [Indexed: 01/01/2023] Open
Abstract
Background Atypical meningiomas rarely originate from the spinal accessory nerve at the C1-C2 level. Case Description A 57-year-old female presented with a 1-month history of headache. The cervical MR revealed a well-demarcated intradural/extramedullary tumor compressing the spinal cord at the C1-C2 level that measured 12 mm × 10 mm × 25 mm. She underwent microsurgical tumor resection. Intraoperatively, the tumor was adherent to the spinal accessory nerve, rather than the dura mater. Gross total tumor resection was performed, and the pathology was consistent with an atypical meningioma. Conclusion Atypical meningiomas rarely originate from the spinal accessory nerve. Gross total resection is the procedures of choice to mitigate the risk of tumor recurrence.
Collapse
Affiliation(s)
- Hideaki Ueno
- Department of Neurological Surgery, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Satoshi Tsutsumi
- Department of Neurological Surgery, Juntendo University Urayasu Hospital, Urayasu, Japan.,Corresponding author: Satoshi Tsutsumi, Department of Neurological Surgery, Juntendo University Urayasu Hospital, Urayasu, Japan.
| | - Akane Hashizume
- Department of Pathology, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Natsuki Sugiyama
- Department of Neurological Surgery, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Hisato Ishii
- Department of Neurological Surgery, Juntendo University Urayasu Hospital, Urayasu, Japan
| |
Collapse
|
4
|
El-Hajj VG, Pettersson Segerlind J, Burström G, Edström E, Elmi-Terander A. Current knowledge on spinal meningiomas: a systematic review protocol. BMJ Open 2022; 12:e061614. [PMID: 35738657 PMCID: PMC9226977 DOI: 10.1136/bmjopen-2022-061614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Meningiomas are primary central nervous system tumours that arise from both cranial and spinal meninges. Spinal meningiomas occur less frequently than their cranial counterparts and are consequently given less attention in the literature. Therefore, systematic studies are needed to summarise the current knowledge on spinal meningiomas, providing a solid evidence base for treatment strategies. This systematic review of the literature will therefore assess studies describing spinal meningiomas, their epidemiology, diagnostics, treatment and outcomes. METHODS AND ANALYSIS Electronic databases, including PubMed, Web of Science and Embase, will be searched using the keywords "spinal" and "meningioma". The search will be set to provide only English studies published after 2000 to avoid any conflicts regarding terminology and classification, as well as to reflect the current status. Case reports, editorials, letters and reviews will also be excluded. Reference lists of relevant records will also be searched. Identified studies will be screened for inclusion, by one reviewer in a first step and then three in the next step to decrease the risk of bias. The results will be categorised to allow for a structured summary of the outcomes and their evidence grade conforming to the Grading of Recommendations, Assessment, Development and Evaluation approach. Categories may include: epidemiology, histopathology, radiological diagnostics, surgery, complications, non-surgical or adjuvant treatments, disease outcomes and predictors, and lastly recurrence. This review will summarise the current knowledge on spinal meningiomas to allow for a better understanding of the disease and contribute to improve its management. For clinicians, the systematic collection and grading of available evidence may aid in decision making and for those seeking to further the scientific field, this review may help to identify areas where knowledge is currently lacking. ETHICS AND DISSEMINATION Ethics approval was not required for our systematic review as it is based on existing publications. The results will be disseminated via submission for publication in a peer-reviewed journal.
Collapse
Affiliation(s)
- Victor Gabriel El-Hajj
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Jenny Pettersson Segerlind
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Gustav Burström
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Erik Edström
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Adrian Elmi-Terander
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| |
Collapse
|
5
|
Jin MC, Ho AL, Feng AY, Medress ZA, Pendharkar AV, Rezaii P, Ratliff JK, Desai AM. Prediction of Discharge Status and Readmissions after Resection of Intradural Spinal Tumors. Neurospine 2022; 19:133-145. [PMID: 35378587 PMCID: PMC8987552 DOI: 10.14245/ns.2143244.622] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 02/07/2022] [Indexed: 11/19/2022] Open
Abstract
Objective Intradural spinal tumors are uncommon and while associations between clinical characteristics and surgical outcomes have been explored, there remains a paucity of literature unifying diverse predictors into an integrated risk model. To predict postresection outcomes for patients with spinal tumors.
Methods IBM MarketScan Claims Database was queried for adult patients receiving surgery for intradural tumors between 2007 and 2016. Primary outcomes-of-interest were nonhome discharge and 90-day postdischarge readmissions. Secondary outcomes included hospitalization duration and postoperative complications. Risk modeling was developed using a regularized logistic regression framework (LASSO, least absolute shrinkage and selection operator) and validated in a withheld subset.
Results A total of 5,060 adult patients were included. Most surgeries utilized a posterior approach (n=5,023, 99.3%) and tumors were most commonly found in the thoracic region (n=1,941, 38.4%), followed by the lumbar (n=1,781, 35.2%) and cervical (n=1,294, 25.6%) regions. Compared to models using only tumor-specific or patient-specific features, our integrated models demonstrated better discrimination (area under the curve [AUC] [nonhome discharge] = 0.786; AUC [90-day readmissions] = 0.693) and accuracy (Brier score [nonhome discharge] = 0.155; Brier score [90-day readmissions] = 0.093). Compared to those predicted to be lowest risk, patients predicted to be highest-risk for nonhome discharge required continued care 16.3 times more frequently (64.5% vs. 3.9%). Similarly, patients predicted to be at highest risk for postdischarge readmissions were readmitted 7.3 times as often as those predicted to be at lowest risk (32.6% vs. 4.4%).
Conclusion Using a diverse set of clinical characteristics spanning tumor-, patient-, and hospitalization-derived data, we developed and validated risk models integrating diverse clinical data for predicting nonhome discharge and postdischarge readmissions.
Collapse
Affiliation(s)
- Michael C. Jin
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Allen L. Ho
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Austin Y. Feng
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Zachary A. Medress
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Arjun V. Pendharkar
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Paymon Rezaii
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - John K. Ratliff
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Atman M. Desai
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
- Corresponding Author Atman M. Desai https://orcid.org/0000-0001-8387-3808 Department of Neurosurgery, Stanford University, Director of Neurosurgical Spine Oncology, 213 Quarry Road, 4th Fl MC 5958, Palo Alto, CA 94304, USA
| |
Collapse
|
6
|
Dauleac C, Leroy HA, Karnoub MA, Obled L, Mertens P, Assaker R. Minimally invasive surgery for intradural spinal meningioma: a new standard? A comparative study between minimally invasive and open approaches. Neurochirurgie 2022; 68:379-385. [DOI: 10.1016/j.neuchi.2022.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/20/2021] [Accepted: 01/10/2022] [Indexed: 10/19/2022]
|
7
|
Long-Term Follow-Up and Predictors of Functional Outcome after Surgery for Spinal Meningiomas: A Population-Based Cohort Study. Cancers (Basel) 2021; 13:cancers13133244. [PMID: 34209578 PMCID: PMC8269374 DOI: 10.3390/cancers13133244] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/10/2021] [Accepted: 06/25/2021] [Indexed: 12/16/2022] Open
Abstract
Simple Summary Spinal meningiomas are the most common adult primary intradural spinal tumors. While mostly benign, they may give rise to spinal cord compression with acute or chronic neurologic dysfunction. The primary treatment is surgical resection. Previous studies, limited by small sample sizes and short follow-up times, report that histopathological grade, tumor localization and size affect outcomes following surgery. In this population-based cohort study, we retrospectively reviewed 129 cases of surgically treated spinal meningiomas to assess postoperative complications, long-term clinical and radiological outcomes, predictors of neurological improvement and potential differences between elderly and non-elderly patients. Our median follow-up time was 8.2 years. We found that surgery was associated with significant neurological improvement. There was no significant difference in postoperative complications, tumor control or neurological improvement between elderly and non-elderly. Shorter time from diagnosis to surgery, larger tumor size and spinal cord compression predicted postoperative outcomes. Abstract Spinal meningiomas are the most common adult primary spinal tumor, constituting 24–45% of spinal intradural tumors and 2% of all meningiomas. The aim of this study was to assess postoperative complications, long-term outcomes, predictors of functional improvement and differences between elderly (≥70 years) and non-elderly (18–69 years) patients surgically treated for spinal meningiomas. Variables were retrospectively collected from patient charts and magnetic resonance images. Baseline comparisons, paired testing and regression analyses were used. In conclusion, 129 patients were included, with a median follow-up time of 8.2 years. Motor deficit was the most common presenting symptom (66%). The median time between diagnosis and surgery was 1.3 months. A postoperative complication occurred in 10 (7.8%) and tumor growth or recurrence in 6 (4.7%) patients. Surgery was associated with significant improvement of motor and sensory deficit, gait disturbance, bladder dysfunction and pain. Time to surgery, tumor area and the degree of spinal cord compression significantly predicted postoperative improvement in a modified McCormick scale (mMCs) in the univariable regression analysis, and spinal cord compression showed independent risk association in multivariable analysis. There was no difference in improvement, complications or tumor control between elderly and non-elderly patients. We concluded that surgery of spinal meningiomas was associated with significant long-term neurological improvement, which could be predicted by time to surgery, tumor size and spinal cord compression.
Collapse
|
8
|
Kilinc F, Setzer M, Marquardt G, Keil F, Dubinski D, Bruder M, Seifert V, Behmanesh B. Functional outcome and morbidity after microsurgical resection of spinal meningiomas. Neurosurg Focus 2021; 50:E20. [PMID: 33932928 DOI: 10.3171/2021.2.focus201116] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 02/17/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The aim of this study was to evaluate functional outcome, surgical morbidity, and factors that affect outcomes of surgically treated patients. METHODS The authors retrospectively analyzed patients who underwent microsurgical resection for spinal meningiomas between 2009 and 2020. Patient data and potential variables were collected and evaluated consecutively. Functional outcomes were evaluated using univariate and multivariate analyses. RESULTS A total of 119 patients underwent microsurgical resection of spinal meningioma within the study period. After a mean follow-up of 25.4 ± 37.1 months, the rates of overall complication, tumor recurrence, and poor functional outcome were 9.2%, 7.6%, and 5%, respectively. Age, sex, revision surgery, and tumor recurrence were identified as independent predictors of poor functional outcome. Obesity and surgeon's experience had an impact on the complication rate, whereas extent of resection and tumor calcification affected the rate of tumor recurrence. CONCLUSIONS Microsurgical resection of spinal meningiomas remains safe. Nevertheless, some aspects, such as obesity and experience of the surgeons that result in a higher complication rate and ultimately affect clinical outcome, should be considered when performing surgery.
Collapse
Affiliation(s)
| | | | | | - Fee Keil
- 2Neuroradiology, Goethe-University, Frankfurt am Main, Germany
| | | | | | | | | |
Collapse
|
9
|
Hua L, Zhu H, Deng J, Tian M, Jiang X, Tang H, Luan S, Wakimoto H, Xie Q, Gong Y. Clinical and prognostic features of spinal meningioma: a thorough analysis from a single neurosurgical center. J Neurooncol 2018; 140:639-647. [PMID: 30209689 DOI: 10.1007/s11060-018-2993-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 08/28/2018] [Indexed: 11/26/2022]
Abstract
PURPOSE The aim of this study was to thoroughly analyze the clinical characteristics of a large cohort of spinal meningioma (SM) from a single neurological center and identify risk factors associated with worse progression free survival and neurological function outcome. METHODS Clinical information was retrieved from 483 SM and 9806 cranial meningioma cases who were operated in our center between 2003 and 2013. 194 SM patients who were followed at the main branch were used for prognostic analyses that included both recurrence free survival and neurological functions based on Modified McCormick scale (MMS). RESULTS Females were predominant (P < 0.001). High grade tumors were not common (WHO grade II, 2.9%; grade III, 1.7%), while the clear cell subtype was frequent within grade II SMs (6/14, 42.9%). Macroscopic total resection was achieved in all SMs (Simpson grade I, 30.9%; grade II, 65.5%; grade III, 3.6%) with a low complications rate (4.6%) and provided neurological improvement in 80 patients (41.2%). Recurrence was seen in 9 cases (4.6%) and associated with high WHO grade, male, prior recurrence, and Simpson grade III. High WHO grade and high Ki-67 index were identified to be independent factors predictive of both neurological function deterioration and impaired post-operative neurological status. CONCLUSIONS Our analysis of the largest SM cohort in scale from a single institution offers a comprehensive view of the clinical characteristics of surgically treated SM, revealing the distinct biology of SM in comparison to its cranial counterparts, and providing guidance to improve surgical management of SM.
Collapse
Affiliation(s)
- Lingyang Hua
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Hongda Zhu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Jiaojiao Deng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Mi Tian
- Department of Critical Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xuewei Jiang
- Department of Critical Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hailiang Tang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Shihai Luan
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Qing Xie
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.
| | - Ye Gong
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.
- Department of Critical Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
| |
Collapse
|
10
|
Frati A, Pesce A, Toccaceli G, Fraschetti F, Caruso R, Raco A. Spinal Meningiomas Prognostic Evaluation Score (SPES): predicting the neurological outcomes in spinal meningioma surgery. Neurosurg Rev 2018. [PMID: 29516306 DOI: 10.1007/s10143-018-0961-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Among many factors leading to a worse functional prognosis in spinal meningioma (SM) surgery, in a previous study, we recognized anterior/anterolateral axial topography, sphincter involvement at first evaluation, surgery performed on a recurrence, and worse preoperative functional status. The purpose of this paper is to evaluate the cumulative weight of these factors on prognosis through a multinomial logistic regression model performed on an original evaluation scale designed by the authors on the ground of the experience of the neurosurgical departments of our University. The original SM database composed of 173 cases was classified in regard to sex, age, symptoms, axial and sagittal location, Simpson grade resection, and functional pre/postoperative status. Fine presurgical and follow-up reevaluations were available. The authors propose a scale (Spinal Meningiomas Prognostic Evaluation Score (SPES)) of preoperative evaluation to assess the surgery-related risk of neurological worsening experienced by the patients included in the present cohort. The authors describe a strong statistical association between the SPES and the follow-up Frankel and McCormick scores (r = - 460 and .441, p .001, both). Through a univariate ANOVA analysis, we disclosed that patients presenting scores 2 and 3 had a significantly higher association to lesser Frankel and McCormick postoperative scores, in respect to patients presenting SPES scores 0-1 (univariate ANOVA, p .008 and .011). Anterior or anterolateral axial location, operating on a recurrence of SM, sphincter involvement, and worse functional grade at onset present, along with the SPES scores are fairly predictive and reliable in respect to the long-term results of patients suffering from SM.
Collapse
Affiliation(s)
- Alessandro Frati
- IRCCS "Neuromed" Neurosurgery Department, Sapienza University, Rome, Italy
| | - Alessandro Pesce
- NESMOS Department Neurosurgery Department, Sapienza University, Rome, Italy. .,Azienda Universitario-Ospedaliera Sant'Andrea, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
| | - Giada Toccaceli
- NESMOS Department Neurosurgery Department, Sapienza University, Rome, Italy.,Azienda Universitario-Ospedaliera Sant'Andrea, Via di Grottarossa, 1035-1039, 00189, Rome, Italy
| | - Flavia Fraschetti
- NESMOS Department Neurosurgery Department, Sapienza University, Rome, Italy.,Azienda Universitario-Ospedaliera Sant'Andrea, Via di Grottarossa, 1035-1039, 00189, Rome, Italy
| | - Riccardo Caruso
- Neurosurgery Division of "Neurology and Psychiatry" Department, Sapienza University, Rome, Italy
| | - Antonino Raco
- NESMOS Department Neurosurgery Department, Sapienza University, Rome, Italy.,Azienda Universitario-Ospedaliera Sant'Andrea, Via di Grottarossa, 1035-1039, 00189, Rome, Italy
| |
Collapse
|