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Pesaresi A, La Cava P, Bonada M, Zeppa P, Melcarne A, Cofano F, Fiaschi P, Garbossa D, Bianconi A. Combined Fluorescence-Guided Surgery with 5-Aminolevulinic Acid and Fluorescein in Glioblastoma: Technical Description and Report of 100 Cases. Cancers (Basel) 2024; 16:2771. [PMID: 39199544 DOI: 10.3390/cancers16162771] [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: 07/13/2024] [Revised: 08/04/2024] [Accepted: 08/05/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND Fluorescence-guided resection (FGR) of glioblastomas has been previously explored with the use of 5-amivelulinic acid (5-ALA) and sodium fluoresceine (SF), allowing us to maximize the extent of resection (EoR). In this study, we highlight the most relevant concerns regarding this technique and present the methods and results from the experience of our center. METHODS A case series of 100 patients operated on in AOU Città della Salute e della Scienza in Turin with a histological diagnosis of glioblastoma (grade IV, according to WHO 2021) was retrospectively analyzed. Both 5-ALA and SF were administered and intraoperatively assessed with an optical microscope. RESULTS 5-ALA is the only approved drug for FGR in glioblastoma, reporting an increased EoR. Nevertheless, SF can be positively used in addition to 5-ALA to reduce the risk of false positives without increasing the rate of adverse effects. In our experience, SF was used to guide the initial phase of resection while 5-ALA was used to visualize tumor spots within the surgical cavity. In 96% of cases, gross total resection was achieved, with supra-maximal resection in 11% of cases. CONCLUSIONS Combined FGR using 5-ALA and SF seems to be a promising method of increasing the extent of resection and to improving the prognosis in glioblastoma patients.
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Affiliation(s)
- Alessandro Pesaresi
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Pietro La Cava
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Marta Bonada
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
- Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133 Milan, Italy
| | - Pietro Zeppa
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Antonio Melcarne
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Fabio Cofano
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Pietro Fiaschi
- Division of Neurosurgery, Ospedale Policlinico San Martino, IRCCS for Oncology and Neurosciences, Largo Rosanna Benzi 10, 16132 Genoa, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, University of Genoa, Largo Rosanna Benzi 10, 16132 Genoa, Italy
| | - Diego Garbossa
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
| | - Andrea Bianconi
- Neurosurgery Unit, Department of Neuroscience, University of Turin, Via Cherasco 15, 10126 Turin, Italy
- Division of Neurosurgery, Ospedale Policlinico San Martino, IRCCS for Oncology and Neurosciences, Largo Rosanna Benzi 10, 16132 Genoa, Italy
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Palavani LB, Ferreira MY, Borges PGLB, Bandeira L, da Silva Semione G, Almeida MV, Verly G, Polverini AD, Andreão FF, Camerotte R, Ferreira CC, Paiva W, Bertani R, Boockvar J. Ultrasound-Guided Resection of High-Grade Gliomas: A Single-Arm Meta-Analysis. World Neurosurg 2024; 186:17-26. [PMID: 38490442 DOI: 10.1016/j.wneu.2024.03.033] [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: 03/01/2024] [Accepted: 03/07/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND High-grade gliomas (HGGs) present a challenge in neuro-oncology, often necessitating surgical resection for optimal management. Ultrasound holds promise in achieving better gross total resection (GTR) and improving outcomes. This meta-analysis systematically evaluates literature providing robust evidence on the use of intraoperative ultrasonography (iUSG) in HGG resection. METHODS Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines a comprehensive search was made across PubMed, Embase, Cochrane, and Web of Science utilized terms related to iUSG for HGG resection. The meta-analysis examined randomized trials and observational cohort studies on iUSG-guided HGG resection. GTR, subtotal resection, and postresection complications were assessed. Statistical analysis, employing R software for a single proportion analysis with confidence intervals of 95%, I2 statistics for heterogeneity, and the instrumental variables method with restricted maximum likelihood for a random effects model. RESULTS A total of 178 patients were included in our study. The GTR overall rate in patients with iUSG-guided resection was found to be 64% (95% confidence interval: 46%-81%). Two-dimensional ultrasound remains dominant at 80% against other options of ultrasound. Complications were reported at a 15% rate (95% confidence interval: 7%-23%). CONCLUSIONS Our study provided robust data on the utilization of iUSG-guided resection regarding the attainment of GTR and the complications related to resection. However, challenges such as outcome heterogeneity and limited complication reporting highlight the need for further research to optimize iUSG in HGG treatment. Long-term follow-up studies on patient survival and postsurgery quality of life will complement existing literature, guiding clinical practices in managing HGG.
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Affiliation(s)
- Lucca B Palavani
- Department of Neurosurgery, Max Planck University Center, São Paulo, Brazil.
| | | | - Pedro G L B Borges
- Department of Neurosurgery, Fundação Técnico-Educacional Souza Marques, Rio de Janeiro, Brazil
| | - Luis Bandeira
- Department of Neurosurgery, University of Pernambuco, Recife, Brazil
| | | | - Miguel V Almeida
- Department of Neurosurgery, State University of Ceará, Fortaleza, Brazil
| | - Gabriel Verly
- Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Filipi Fim Andreão
- Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Raphael Camerotte
- Faculty of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Wellingson Paiva
- Department of Neurosurgery, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Raphael Bertani
- Department of Neurosurgery, University of Sao Paulo Medical School, São Paulo, Brazil
| | - John Boockvar
- Department of Neurosurgery, Lenox Hill Hospital, New York, New York, USA
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Safai A, Shinde S, Jadhav M, Chougule T, Indoria A, Kumar M, Santosh V, Jabeen S, Beniwal M, Konar S, Saini J, Ingalhalikar M. Developing a Radiomics Signature for Supratentorial Extra-Ventricular Ependymoma Using Multimodal MR Imaging. Front Neurol 2021; 12:648092. [PMID: 34367044 PMCID: PMC8339322 DOI: 10.3389/fneur.2021.648092] [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: 12/31/2020] [Accepted: 06/14/2021] [Indexed: 11/25/2022] Open
Abstract
Rationale and Objectives: To build a machine learning-based diagnostic model that can accurately distinguish adult supratentorial extraventricular ependymoma (STEE) from similarly appearing high-grade gliomas (HGG) using quantitative radiomic signatures from a multi-parametric MRI framework. Materials and Methods: We computed radiomic features on the preprocessed and segmented tumor masks from a pre-operative multimodal MRI dataset [contrast-enhanced T1 (T1ce), T2, fluid-attenuated inversion recovery (FLAIR), apparent diffusion coefficient (ADC)] from STEE (n = 15), HGG-Grade IV (HGG-G4) (n = 24), and HGG-Grade III (HGG-G3) (n = 36) patients, followed by an optimum two-stage feature selection and multiclass classification. Performance of multiple classifiers were evaluated on both unimodal and multimodal feature sets and most discriminative radiomic features involved in classification of STEE from HGG subtypes were obtained. Results: Multimodal features demonstrated higher classification performance over unimodal feature set in discriminating STEE and HGG subtypes with an accuracy of 68% on test data and above 80% on cross validation, along with an overall above 90% specificity. Among unimodal feature sets, those extracted from FLAIR demonstrated high classification performance in delineating all three tumor groups. Texture-based radiomic features particularly from FLAIR were most important in discriminating STEE from HGG-G4, whereas first-order features from T2 and ADC consistently ranked higher in differentiating multiple tumor groups. Conclusions: This study illustrates the utility of radiomics-based multimodal MRI framework in accurately discriminating similarly appearing adult STEE from HGG subtypes. Radiomic features from multiple MRI modalities could capture intricate and complementary information for a robust and highly accurate multiclass tumor classification.
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Affiliation(s)
- Apoorva Safai
- Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India
| | - Sumeet Shinde
- Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India
| | - Tanay Chougule
- Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India
| | - Abhilasha Indoria
- Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Manoj Kumar
- Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Vani Santosh
- Department of Neuropathology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Shumyla Jabeen
- Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Manish Beniwal
- Department of Neurosurgery, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Subhash Konar
- Department of Neurosurgery, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Jitender Saini
- Department of Neuroimaging & Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis Institute of Technology, Symbiosis International University, Pune, India
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Conner AK, Burks JD, Baker CM, Smitherman AD, Pryor DP, Glenn CA, Briggs RG, Bonney PA, Sughrue ME. Method for temporal keyhole lobectomies in resection of low- and high-grade gliomas. J Neurosurg 2018; 128:1388-1395. [DOI: 10.3171/2016.12.jns162168] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVEThe purpose of this study was to describe a method of resecting temporal gliomas through a keyhole lobectomy and to share the results of using this technique.METHODSThe authors performed a retrospective review of data obtained in all patients in whom the senior author performed resection of temporal gliomas between 2012 and 2015. The authors describe their technique for resecting dominant and nondominant gliomas, using both awake and asleep keyhole craniotomy techniques.RESULTSFifty-two patients were included in the study. Twenty-six patients (50%) had not received prior surgery. Seventeen patients (33%) were diagnosed with WHO Grade II/III tumors, and 35 patients (67%) were diagnosed with a glioblastoma. Thirty tumors were left sided (58%). Thirty procedures (58%) were performed while the patient was awake. The median extent of resection was 95%, and at least 90% of the tumor was resected in 35 cases (67%). Five of 49 patients (10%) with clinical follow-up experienced permanent deficits, including 3 patients (6%) with hydrocephalus requiring placement of a ventriculoperitoneal shunt and 2 patients (4%) with weakness. Three patients experienced early postoperative anomia, but no patients had a new speech deficit at clinical follow-up.CONCLUSIONSThe authors provide their experience using a keyhole lobectomy for resecting temporal gliomas. Their data demonstrate the feasibility of using less invasive techniques to safely and aggressively treat these tumors.
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Affiliation(s)
- Andrew K. Conner
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
| | - Joshua D. Burks
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
| | - Cordell M. Baker
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
| | - Adam D. Smitherman
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
| | - Dillon P. Pryor
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
| | - Chad A. Glenn
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
| | - Robert G. Briggs
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
| | - Phillip A. Bonney
- 2Department of Neurological Surgery, University of Southern California, Los Angeles, California
| | - Michael E. Sughrue
- 1Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma; and
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5
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A Technique for Resecting Occipital Pole Gliomas Using a Keyhole Lobectomy. World Neurosurg 2017; 106:707-714. [DOI: 10.1016/j.wneu.2017.06.181] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 06/24/2017] [Accepted: 06/28/2017] [Indexed: 11/18/2022]
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Burks JD, Conner AK, Bonney PA, Glenn CA, Smitherman AD, Ghafil CA, Briggs RG, Baker CM, Kirch NI, Sughrue ME. Frontal Keyhole Craniotomy for Resection of Low- and High-Grade Gliomas. Neurosurgery 2017; 82:388-396. [DOI: 10.1093/neuros/nyx213] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 04/03/2017] [Indexed: 11/13/2022] Open
Abstract
Abstract
BACKGROUND
Minimally invasive techniques are increasingly being used to access intra-axial brain lesions.
OBJECTIVE
To describe a method of resecting frontal gliomas through a keyhole craniotomy and share the results with these techniques.
METHODS
We performed a retrospective review of data obtained on all patients undergoing resection of frontal gliomas by the senior author between 2012 and 2015. We describe our technique for resecting dominant and nondominant gliomas utilizing both awake and asleep keyhole craniotomy techniques.
RESULTS
After excluding 1 patient who received a biopsy only, 48 patients were included in the study. Twenty-nine patients (60%) had not received prior surgery. Twenty-six patients (54%) were diagnosed with WHO grade II/III tumors, and 22 patients (46%) were diagnosed with glioblastoma. Twenty-five cases (52%) were performed awake. At least 90% of the tumor was resected in 35 cases (73%). Three of 43 patients with clinical follow-up experienced permanent deficits.
CONCLUSION
We provide our experience in using keyhole craniotomies for resecting frontal gliomas. Our data demonstrate the feasibility of using minimally invasive techniques to safely and aggressively treat these tumors.
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Affiliation(s)
- Joshua D Burks
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Andrew K Conner
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Phillip A Bonney
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Chad A Glenn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Adam D Smitherman
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Cameron A Ghafil
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Cordell M Baker
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Nicholas I Kirch
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Michael E Sughrue
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
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Abstract
Neurosurgical intervention remains the first step in effective glioma management. Mounting evidence suggests that cytoreduction for low- and high-grade gliomas is associated with a survival benefit. Beyond conventional neurosurgical principles, an array of techniques have been refined in recent years to maximize the effect of the neurosurgical oncologist and facilitate the impact of subsequent adjuvant therapy. With intraoperative mapping techniques, aggressive microsurgical resection can be safely pursued even when tumors occupy essential functional pathways. Other adjunct techniques, such as intraoperative magnetic resonance imaging, intraoperative ultrasonography, and fluorescence-guided surgery, can be valuable tools to safely reduce the tumor burden of low- and high-grade gliomas. Taken together, this collection of surgical strategies has pushed glioma extent of resection towards the level of cellular resolution.
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Affiliation(s)
- Colin Watts
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK.
| | - Nader Sanai
- Barrow Brain Tumor Research Center, Barrow Neurological Institute, Phoenix, AZ, USA
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Abstract
OPINION STATEMENT Treatment of patients with high-grade glioma (HGG) should begin with thorough evaluation by a specialized multidisciplinary team to determine whether or not the patient is appropriate for surgery, chemotherapy and radiotherapy. Particular attention should be paid to the performance status and neurological function. Surgery is the first step in therapeutic intervention. Patients undergo either biopsy, debulking surgery or maximal resection depending on the anatomical location of the tumour and the patient's clinical condition. Extent of resection has a prognostic value. In patients who are 'fit for surgery', the aim is to remove all contrast-enhancing tumour without causing neurological deficit. If microsurgical resection is not feasible, then a biopsy, either open or stereotactic, should be performed to confirm high-grade glioma diagnosis and to perform molecular genetic analyses (MGMT methylation status, loss of heterozygosity in 1p/19q, IDH1 status) as this has treatment implications. Over the past decade, much glioma research has focussed on novel surgical approaches to improve long-term outcomes. The evidence to support the benefit of maximizing extent of resection is growing. Advances in neurosurgical techniques allow safer, more aggressive surgery to maximize tumour resection whilst minimizing neurological deficit. Surgical adjuncts including advanced neuronavigation, intraoperative magnetic resonance imaging, high-frequency ultrasonography, fluorescence-guided microsurgery using intraoperative fluorescence, functional mapping of motor and language pathways, and locally delivered therapies are extending the armamentarium of the neurosurgeon to provide patients with the best outcome. Operating on elderly patients and those with recurrent disease, although controversial, is becoming more common due to emerging neurosurgical approaches. Here, we discuss the emerging surgical techniques and comment on the future of HGG surgery.
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Affiliation(s)
- Fahid Tariq Rasul
- Department of Clinical Neurosciences, Brain Repair Centre, University of Cambridge, ED Adrian Building, Forvie Site, Robinson Way, Cambridge, CB2 0PY, UK,
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