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Martín-Abreu C, Fariña-Jerónimo H, Plata-Bello J. Radiological and Not Clinical Variables Guide the Surgical Plan in Patients with Glioblastoma. Curr Oncol 2024; 31:1899-1912. [PMID: 38668045 PMCID: PMC11049408 DOI: 10.3390/curroncol31040142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/28/2024] [Accepted: 03/30/2024] [Indexed: 04/28/2024] Open
Abstract
Background and Purpose: The extent of resection is the most important prognostic factor in patients with glioblastoma. However, the factors influencing the decision to perform a biopsy instead of maximal resection have not been clearly established. The aim of this study was to analyze the factors associated with the intention to achieve maximal resection in glioblastoma patients. Methods: A retrospective single-center case-series analysis of patients with a new diagnosis of glioblastoma was performed. Patients were distributed into two groups: the biopsy (B) and complete resection (CR) groups. To identify factors associated with the decision to perform a B or CR, uni- and multivariate binary logistic regression analyses were performed. Cox regression analysis was also performed in the B and CR groups. Results: Ninety-nine patients with a new diagnosis of glioblastoma were included. Sixty-eight patients (68.7%) were treated with CR. Ring-enhancement and edema volume on presurgical magnetic resonance imaging were both associated with CR. Corpus callosum involvement and proximity to the internal capsule were identified as factors associated with the decision to perform a biopsy. In the multivariate analysis, edema volume (OR = 1.031; p = 0.002) and proximity to the internal capsule (OR = 0.104; p = 0.001) maintained significance and were considered independent factors. In the survival analysis, only corpus callosum involvement (HR = 2.055; p = 0.035) and MGMT status (HR = 0.484; p = 0.027) presented statistical significance in the CR group. Conclusions: The volume of edema and proximity to the internal capsule were identified as independent factors associated with the surgical decision. The radiological evaluation and not the clinical situation of the patient influences the decision to perform a biopsy or CR.
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Affiliation(s)
- Carla Martín-Abreu
- Department of Medical Oncology, Hospital Universitario de Canarias, 38320 La Laguna, Spain
| | - Helga Fariña-Jerónimo
- Department of Neurosurgery, Hospital Universitario de Canarias, 38320 La Laguna, Spain
| | - Julio Plata-Bello
- Department of Neurosurgery, Hospital Universitario de Canarias, 38320 La Laguna, Spain
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Wykes V, Zisakis A, Irimia M, Ughratdar I, Sawlani V, Watts C. Importance and Evidence of Extent of Resection in Glioblastoma. J Neurol Surg A Cent Eur Neurosurg 2020; 82:75-86. [PMID: 33049795 DOI: 10.1055/s-0040-1701635] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Maximal safe resection is an essential part of the multidisciplinary care of patients with glioblastoma. A growing body of data shows that gross total resection is an independent prognostic factor associated with improved clinical outcome. The relationship between extent of glioblastoma (GB) resection and clinical benefit depends critically on the balance between cytoreduction and avoiding neurologic morbidity. The definition of the extent of tumor resection, how this is best measured pre- and postoperatively, and its relation to volume of residual tumor is still discussed. We review the literature supporting extent of resection in GB, highlighting the importance of a standardized definition and measurement of extent of resection to allow greater collaboration in research projects and trials. Recent developments in neurosurgical techniques and technologies focused on maximizing extent of resection and safety are discussed.
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Affiliation(s)
- Victoria Wykes
- Institute of Cancer and Genomic Sciences, University of Birmingham College of Medical and Dental Sciences, Birmingham, United Kingdom of Great Britain and Northern Ireland.,Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Athanasios Zisakis
- Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Mihaela Irimia
- Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Ismail Ughratdar
- Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Vijay Sawlani
- Department of Radiology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Colin Watts
- Institute of Cancer and Genomic Sciences, University of Birmingham College of Medical and Dental Sciences, Birmingham, United Kingdom of Great Britain and Northern Ireland.,Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
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Ius T, Pignotti F, Della Pepa GM, La Rocca G, Somma T, Isola M, Battistella C, Gaudino S, Polano M, Dal Bo M, Bagatto D, Pegolo E, Chiesa S, Arcicasa M, Olivi A, Skrap M, Sabatino G. A Novel Comprehensive Clinical Stratification Model to Refine Prognosis of Glioblastoma Patients Undergoing Surgical Resection. Cancers (Basel) 2020; 12:cancers12020386. [PMID: 32046132 PMCID: PMC7072471 DOI: 10.3390/cancers12020386] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/29/2020] [Accepted: 02/05/2020] [Indexed: 12/14/2022] Open
Abstract
Despite recent discoveries in genetics and molecular fields, glioblastoma (GBM) prognosis still remains unfavorable with less than 10% of patients alive 5 years after diagnosis. Numerous studies have focused on the research of biological biomarkers to stratify GBM patients. We addressed this issue in our study by using clinical/molecular and image data, which is generally available to Neurosurgical Departments in order to create a prognostic score that can be useful to stratify GBM patients undergoing surgical resection. By using the random forest approach [CART analysis (classification and regression tree)] on Survival time data of 465 cases, we developed a new prediction score resulting in 10 groups based on extent of resection (EOR), age, tumor volumetric features, intraoperative protocols and tumor molecular classes. The resulting tree was trimmed according to similarities in the relative hazard ratios amongst groups, giving rise to a 5-group classification tree. These 5 groups were different in terms of overall survival (OS) (p < 0.000). The score performance in predicting death was defined by a Harrell’s c-index of 0.79 (95% confidence interval [0.76–0.81]). The proposed score could be useful in a clinical setting to refine the prognosis of GBM patients after surgery and prior to postoperative treatment.
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Affiliation(s)
- Tamara Ius
- Neurosurgery Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy;
- Correspondence: or ; Tel.: 0039-347-0178730/0039-0432
| | - Fabrizio Pignotti
- Department of Neurosurgery, Mater Olbia Hospital, 07026 Olbia, Italy; (F.P.); (G.S.); (G.L.R.)
| | | | - Giuseppe La Rocca
- Department of Neurosurgery, Mater Olbia Hospital, 07026 Olbia, Italy; (F.P.); (G.S.); (G.L.R.)
- Institute of Neurosurgery, Catholic University, 00168 Rome, Italy; (G.M.D.P.); (A.O.)
| | - Teresa Somma
- Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli Federico II, 80131 Naples, Italy;
| | - Miriam Isola
- Department of Medicine, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy; (M.I.); (C.B.)
| | - Claudio Battistella
- Department of Medicine, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy; (M.I.); (C.B.)
| | - Simona Gaudino
- Institute of radiology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
| | - Maurizio Polano
- Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy; (M.P.); (M.D.B.)
| | - Michele Dal Bo
- Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy; (M.P.); (M.D.B.)
| | - Daniele Bagatto
- Neuroradiology Unit, Department of Diagnostic Imaging ASUIUD Udine, 33100 Udine, Italy;
| | - Enrico Pegolo
- Institute of Pathology, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy;
| | - Silvia Chiesa
- Radiation Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
| | - Mauro Arcicasa
- Department of Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy;
| | - Alessandro Olivi
- Institute of Neurosurgery, Catholic University, 00168 Rome, Italy; (G.M.D.P.); (A.O.)
| | - Miran Skrap
- Neurosurgery Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy;
| | - Giovanni Sabatino
- Department of Neurosurgery, Mater Olbia Hospital, 07026 Olbia, Italy; (F.P.); (G.S.); (G.L.R.)
- Institute of Neurosurgery, Catholic University, 00168 Rome, Italy; (G.M.D.P.); (A.O.)
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Ius T, Pignotti F, Della Pepa GM, Bagatto D, Isola M, Battistella C, Gaudino S, Pegolo E, Chiesa S, Arcicasa M, La Rocca G, Olivi A, Skrap M, Sabatino G. Glioblastoma: from volumetric analysis to molecular predictors. J Neurosurg Sci 2020; 66:173-186. [PMID: 32031360 DOI: 10.23736/s0390-5616.20.04850-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Despite decades of therapeutic and molecular refinements, the prognosis of patients with glioblastoma (GBM) still remains unfavorable. Integrative clinical studies allow a better understanding of the natural evolution of GBM. To assess independent predictors of overall survival (OS) and progression free survival (PFS) clinical, surgical, molecular and radiological variables were evaluated. A novel preoperative volumetric magnetic resonance imaging (MRI) index for tumor prognosis in GBM patients was investigated. METHODS A cohort of 195 cases of patients operated for newly GBM were analyzed. Extent of tumoral resection (EOR), tumor growth pattern, expressed by preoperative volumetric ΔT1-T2 MRI index, molecular markers such as O6-methylguanine-DNA methyltransferase (MGMT) methylation and isocitrate dehydrogenase 1/2 (IDH1/2) mutation, were analyzed. Analysis of survival was done using Cox-proportional hazard models. RESULTS The 1-, 2- years estimated OS and PFS rate for the whole population were 61% and 27%, 38% and 17%, respectively. A better survival rate, both in terms of survival and tumor progression, was observed in patient with higher EOR (p=0.000), younger age (p=0.000), MGMT methylation status (p=0.001) and lower preoperative ΔT1-T2 MRI index (p=0.004). Regarding the tumor growth pattern a cut-off value of 0.75 was found to discriminate patient with different prognosis. Patients with a preoperative ΔT1-T2 MRI index <0.75 had a 1-year estimated OS of 67%, otherwise patients with a preoperative ΔT1-T2 MRI index >0.75 hada 1-year estimated OS of 34%. CONCLUSIONS In this investigation longer survival is associated with younger age, EOR, promoter methylation of MGMT and preoperative tumor volumetric features expressed by ΔT1-T2 MRI index. The preoperative ΔT1-T2 MRI index could be a promising prognostic factor potentially useful in GBM management. Future investigations based on multiparametric MRI data and next generation sequences analysis, may better clarify this result.
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Affiliation(s)
- Tamara Ius
- Neurosurgery Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, Udine, Italy -
| | | | | | - Daniele Bagatto
- Neuroradiology Unit, Department of Diagnostic Imaging ASUIUD Udine, Italy
| | - Miriam Isola
- Department of Medicine, Santa Maria della Misericordia University Hospital, Udine, Italy
| | - Claudio Battistella
- Department of Medicine, Santa Maria della Misericordia University Hospital, Udine, Italy
| | - Simona Gaudino
- Institute of Radiology, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy
| | - Enrico Pegolo
- Institute of Pathology, Santa Maria della Misericordia University Hospital, Udine, Italy
| | - Silvia Chiesa
- Institute of Radiotherapy, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy
| | | | | | | | - Miran Skrap
- Neurosurgery Unit, Department of Neuroscience, Santa Maria della Misericordia University Hospital, Udine, Italy
| | - Giovanni Sabatino
- Institute of Neurosurgery, Catholic University, Rome, Italy.,Department of Neurosurgery, Mater Olbia Hospital, Olbia, Italy
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The role of tailored intraoperative neurophysiological monitoring in glioma surgery: a single institute experience. J Neurooncol 2020; 146:459-467. [PMID: 32020476 DOI: 10.1007/s11060-019-03347-0] [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] [Received: 09/30/2019] [Accepted: 11/15/2019] [Indexed: 10/25/2022]
Abstract
INTRODUCTION Glioma surgery near the functional area is still a dilemma. Intraoperative neurophysiologic monitoring (IONM) and functional mapping can play a role to maximize the extent of resection (EOR), while minimizing the risk of sequelae. We herein review the utility of tailored intraoperative mapping and monitoring in patients undergoing glioma surgery in our institute. METHODS Patients were divided into two groups on the basis of application tailored IONM (group A, 2013-2017, n = 53) or not (group B, 2008-2012, n = 49) between January 2008 and December 2017. The setup, tailored IONM protocols, surgery, and clinical results of all patients with eloquent glioma were analyzed with the EOR, functionality scores, overall survival (OS) and progression-free survival (PFS) retrospectively. RESULTS The 102 patients were considered eligible for analysis. High grade and low grade gliomas accounted for 73 (72%) and 29 (28%) cases, respectively. There was a positive association between the application of neuromonitor and post-operative functional preservation, but no significant statistical differences over the EOR, OS and PFS between the two groups. CONCLUSIONS In our experience, tailored intraoperative functional mapping provides an effective neurological function preservation. Routine implementation of neurophysiological monitoring with adequate pre-operative planning and intraoperative teamwork in eloquent glioma can get more satisfied functional preservation. Due to the maturation and experience of our IONM team may also be the variation factor, prospective studies with a more prominent sample and proper multivariate analysis will be expected to determine the real benefit.
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