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Sulangi AJ, Husain A, Lei H, Okun J. Neuronavigation in glioma resection: current applications, challenges, and clinical outcomes. Front Surg 2024; 11:1430567. [PMID: 39165667 PMCID: PMC11334078 DOI: 10.3389/fsurg.2024.1430567] [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: 05/10/2024] [Accepted: 07/22/2024] [Indexed: 08/22/2024] Open
Abstract
Background Glioma resection aims for maximal tumor removal while preserving neurological function. Neuronavigation systems (NS), with intraoperative imaging, have revolutionized this process through precise tumor localization and detailed anatomical navigation. Objective To assess the efficacy and breadth of neuronavigation and intraoperative imaging in glioma resections, identify operational challenges, and provide educational insights to medical students and non-neurosurgeons regarding their practical applications. Methods This systematic review analyzed studies from 2012 to 2023 on glioma patients undergoing surgical resection with neuronavigation, sourced from MEDLINE (PubMed), Embase, and Web of Science. A database-specific search strategy was employed, with independent reviewers screening for eligibility using Rayyan and extracting data using the Joanna Briggs Institute (JBI) tool. Results The integration of neuronavigation systems with intraoperative imaging modalities such as iMRI, iUS, and 5-ALA significantly enhances gross total resection (GTR) rates and extent of resection (EOR). While advanced technology improves surgical outcomes, it does not universally reduce operative times, and its impact on long-term survival varies. Combinations like NS + iMRI and NS + 5-ALA + iMRI achieve higher GTR rates compared to NS alone, indicating that advanced imaging adjuncts enhance tumor resection accuracy and success. The results underscore the multifaceted nature of successful surgical outcomes. Conclusions Integrating intraoperative imaging with neuronavigation improves glioma resection. Ongoing research is vital to refine technology, enhance accuracy, reduce costs, and improve training, considering various factors impacting patient survival.
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Affiliation(s)
- Albert Joseph Sulangi
- Nova Southeastern University, Dr. Kiran C. Patel College of Osteopathic Medicine—Tampa Bay Regional Campus, Clearwater, FL, United States
| | - Adam Husain
- University of Texas Medical Branch, Galveston, TX, United States
| | - Haoyi Lei
- Elson S. Floyd College of Medicine, Spokane, WA, United States
| | - Jessica Okun
- Steward Medical Group, Fort Lauderdale, FL, United States
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Frisk H, Persson O, Fagerlund M, Jensdottir M, El-Hajj VG, Burström G, Sunesson A, Kits A, Majing T, Edström E, Kaijser M, Elmi-Terander A. Intraoperative MRI without an intraoperative MRI suite: a workflow for glial tumor surgery. Acta Neurochir (Wien) 2024; 166:292. [PMID: 38985352 PMCID: PMC11236858 DOI: 10.1007/s00701-024-06165-0] [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: 03/14/2024] [Accepted: 06/09/2024] [Indexed: 07/11/2024]
Abstract
BACKGROUND Intraoperative MRI (iMRI) has emerged as a useful tool in glioma surgery to safely improve the extent of resection. However, iMRI requires a dedicated operating room (OR) with an integrated MRI scanner solely for this purpose. Due to physical or economical restraints, this may not be feasible in all centers. The aim of this study was to investigate the feasibility of using a non-dedicated MRI scanner at the radiology department for iMRI and to describe the workflow with special focus on time expenditure and surgical implications. METHODS In total, 24 patients undergoing glioma surgery were included. When the resection was deemed completed, the wound was temporarily closed, and the patient, under general anesthesia, was transferred to the radiology department for iMRI, which was performed using a dedicated protocol on 1.5 or 3 T scanners. After performing iMRI the patient was returned to the OR for additional tumor resection or final wound closure. All procedural times, timestamps, and adverse events were recorded. RESULT The median time from the decision to initiate iMRI until reopening of the wound after scanning was 68 (52-104) minutes. Residual tumors were found on iMRI in 13 patients (54%). There were no adverse events during the surgeries, transfers, transportations, or iMRI-examinations. There were no wound-related complications or infections in the postoperative period or at follow-up. There were no readmissions within 30 or 90 days due to any complication. CONCLUSION Performing intraoperative MRI using an MRI located outside the OR department was feasible and safe with no adverse events. It did not require more time than previously reported data for dedicated iMRI scanners. This could be a viable alternative in centers without access to a dedicated iMRI suite.
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Affiliation(s)
- Henrik Frisk
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden.
| | - Oscar Persson
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Michael Fagerlund
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Margret Jensdottir
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | | | - Gustav Burström
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Annika Sunesson
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Annika Kits
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Tomas Majing
- Department of Perioperative Medicine and Intensive Care (PMI), Karolinska University Hospital, Stockholm, Sweden
| | - Erik Edström
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden
- Capio Spine Center Stockholm, Löwenströmska Hospital, Stockholm, Sweden
- Department of Medical Sciences, Örebro University, Örebro, Sweden
| | - Magnus Kaijser
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Adrian Elmi-Terander
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77, Stockholm, Sweden
- Capio Spine Center Stockholm, Löwenströmska Hospital, Stockholm, Sweden
- Department of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
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3
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Li Z, Song Y, Farrukh Hameed NU, Yuan S, Wu S, Gong X, Zhuang D, Lu J, Zhu F, Qiu T, Zhang J, Aibaidula A, Geng X, Yang Z, Tang W, Chen H, Zhou L, Mao Y, Wu J. Effect of high-field iMRI guided resection in cerebral glioma surgery: A randomized clinical trial. Eur J Cancer 2024; 199:113528. [PMID: 38218157 DOI: 10.1016/j.ejca.2024.113528] [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: 10/11/2023] [Revised: 12/18/2023] [Accepted: 12/26/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND Extent of resection (EOR) in glioma contributes to longer survival. The purpose of NCT01479686 was to prove whether intraoperative magnetic resonance imaging (iMRI) increases EOR in glioma surgery and benefit survival. METHODS Patients were randomized (1:1) to receive the iMRI (n = 161) or the conventional neuronavigation (n = 160). The primary endpoint was gross total resection (GTR); secondary outcomes reported were progression-free survival (PFS), overall survival (OS), and safety. RESULTS 188 high-grade gliomas (HGGs) and 133 low-grade gliomas (LGGs) were enrolled. GTR was 83.85% in the iMRI group vs. 50.00% in the control group (P < 0.0001). In 321 patients, the median PFS (mPFS) was 65.12 months in the iMRI group and 61.01 months in the control group (P = 0.0202). For HGGs, mPFS was improved in the iMRI group (19.32 vs. 13.34 months, P = 0.0015), and a trend of superior OS compared with control was observed (29.73 vs. 25.33 months, P = 0.1233). In the predefined eloquent area HGG subgroup, mPFS, and mOS were 20.47 months and 33.58 months in the iMRI vs. 12.21 months and 21.16 months in the control group (P = 0.0098; P = 0.0375, respectively). From the exploratory analyses of HGGs, residual tumor volume (TV) < 1.0 cm3 decreased the risk of survival (mPFS: 18.99 vs. 9.43 months, P = 0.0055; mOS: 29.77 vs. 18.10 months, P = 0.0042). LGGs with preoperative (pre-OP) TV > 43.1 cm3 and postoperative (post-OP) TV > 4.6 cm3 showed worse OS (P= 0.0117) CONCLUSIONS: It showed that iMRI significantly increased EOR and indicated survival benefits for HGGs, particularly eloquent HGGs. Residual TV in either HGGs or LGGs is a prognostic factor for survival.
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Affiliation(s)
- Zeyang Li
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China
| | - Yanyan Song
- Department of Biostatistics, Clinical research institute, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - N U Farrukh Hameed
- University of Pittsburgh Medical Center and Hillman Cancer Center, Department of Neurosurgery, Pittsburgh, USA
| | - Shiwen Yuan
- Department of Psychiatry and Human Behavior, Brown University, Rhode Island Hospital, 146 West River Street, Providence, RI 02904, USA
| | - Shuai Wu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China
| | - Xiu Gong
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Dongxiao Zhuang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; National Neurological Diseases Center, China
| | - Junfeng Lu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Fengping Zhu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Tianming Qiu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Jie Zhang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Abudumijiti Aibaidula
- Department of Neurosurgery, University of Missouri in Columbia, One Hospital Drive, MO, 65212, Columbia
| | - Xu Geng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Zhong Yang
- Department of Radiotherapy, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Weijun Tang
- Department of Radiotherapy, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Hong Chen
- Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China
| | - Liangfu Zhou
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China; Institute of Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jinsong Wu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Wulumuqi Zhong Road 12, Shanghai 200040, China; Neurosurgical Institute of Fudan University, China; National Neurological Diseases Center, China; Institute of Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
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Pichardo-Rojas PS, Angulo-Lozano JC, Alvarez-Castro JA, Vázquez-Alva D, Osuna-Lau RA, Choque-Ayala LC, Tandon N, Esquenazi Y. Intraoperative Magnetic Resonance Imaging (MRI)-Guided Resection of Glioblastoma: A Meta-Analysis of 1,847 Patients. World Neurosurg 2024; 182:e807-e822. [PMID: 38101537 DOI: 10.1016/j.wneu.2023.12.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 12/06/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Affiliation(s)
- Pavel S Pichardo-Rojas
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, Texas, USA.
| | - Juan Carlos Angulo-Lozano
- Laboratory of Molecular Genetics and Immunology, The Rockefeller University, New York, New York, USA
| | - José Alfonso Alvarez-Castro
- Department of Neurosurgery, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", Mexico City, Mexico
| | - Diego Vázquez-Alva
- Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México
| | | | - Luz Camila Choque-Ayala
- Facultad de Medicina, Universidad Católica Boliviana San Pablo, Santa Cruz de la Sierra, Bolivia
| | - Nitin Tandon
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, Texas, USA
| | - Yoshua Esquenazi
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, Texas, USA
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5
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Hardigan AA, Jackson JD, Patel AP. Surgical Management and Advances in the Treatment of Glioma. Semin Neurol 2023; 43:810-824. [PMID: 37963582 PMCID: PMC11229982 DOI: 10.1055/s-0043-1776766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
The care of patients with both high-grade glioma and low-grade glioma necessitates an interdisciplinary collaboration between neurosurgeons, neuro-oncologists, neurologists and other practitioners. In this review, we aim to detail the considerations, approaches and advances in the neurosurgical care of gliomas. We describe the impact of extent-of-resection in high-grade and low-grade glioma, with particular focus on primary and recurrent glioblastoma. We address advances in surgical methods and adjunct technologies such as intraoperative imaging and fluorescence guided surgery that maximize extent-of-resection while minimizing the potential for iatrogenic neurological deficits. Finally, we review surgically-mediated therapies other than resection and discuss the role of neurosurgery in emerging paradigm-shifts in inter-disciplinary glioma management such as serial tissue sampling and "window of opportunity trials".
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Affiliation(s)
- Andrew A Hardigan
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Joshua D Jackson
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Anoop P Patel
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
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6
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Rončević A, Koruga N, Soldo Koruga A, Rončević R, Rotim T, Šimundić T, Kretić D, Perić M, Turk T, Štimac D. Personalized Treatment of Glioblastoma: Current State and Future Perspective. Biomedicines 2023; 11:1579. [PMID: 37371674 DOI: 10.3390/biomedicines11061579] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/24/2023] [Accepted: 05/27/2023] [Indexed: 06/29/2023] Open
Abstract
Glioblastoma (GBM) is the most aggressive glial tumor of the central nervous system. Despite intense scientific efforts, patients diagnosed with GBM and treated with the current standard of care have a median survival of only 15 months. Patients are initially treated by a neurosurgeon with the goal of maximal safe resection of the tumor. Obtaining tissue samples during surgery is indispensable for the diagnosis of GBM. Technological improvements, such as navigation systems and intraoperative monitoring, significantly advanced the possibility of safe gross tumor resection. Usually within six weeks after the surgery, concomitant radiotherapy and chemotherapy with temozolomide are initiated. However, current radiotherapy regimens are based on population-level studies and could also be improved. Implementing artificial intelligence in radiotherapy planning might be used to individualize treatment plans. Furthermore, detailed genetic and molecular markers of the tumor could provide patient-tailored immunochemotherapy. In this article, we review current standard of care and possibilities of personalizing these treatments. Additionally, we discuss novel individualized therapeutic options with encouraging results. Due to inherent heterogeneity of GBM, applying patient-tailored treatment could significantly prolong survival of these patients.
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Affiliation(s)
- Alen Rončević
- Department of Neurosurgery, University Hospital Center Osijek, 31000 Osijek, Croatia
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Nenad Koruga
- Department of Neurosurgery, University Hospital Center Osijek, 31000 Osijek, Croatia
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Anamarija Soldo Koruga
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Neurology, University Hospital Center Osijek, 31000 Osijek, Croatia
| | - Robert Rončević
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Diagnostic and Interventional Radiology, University Hospital Center Osijek, 31000 Osijek, Croatia
| | - Tatjana Rotim
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Diagnostic and Interventional Radiology, University Hospital Center Osijek, 31000 Osijek, Croatia
| | - Tihana Šimundić
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Nephrology, University Hospital Center Osijek, 31000 Osijek, Croatia
| | - Domagoj Kretić
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Diagnostic and Interventional Radiology, University Hospital Center Osijek, 31000 Osijek, Croatia
| | - Marija Perić
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Cytology, University Hospital Center Osijek, 31000 Osijek, Croatia
| | - Tajana Turk
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Diagnostic and Interventional Radiology, University Hospital Center Osijek, 31000 Osijek, Croatia
| | - Damir Štimac
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
- Department of Radiology, National Memorial Hospital Vukovar, 32000 Vukovar, Croatia
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7
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Bonosi L, Marrone S, Benigno UE, Buscemi F, Musso S, Porzio M, Silven MP, Torregrossa F, Grasso G. Maximal Safe Resection in Glioblastoma Surgery: A Systematic Review of Advanced Intraoperative Image-Guided Techniques. Brain Sci 2023; 13:brainsci13020216. [PMID: 36831759 PMCID: PMC9954589 DOI: 10.3390/brainsci13020216] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/15/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
Glioblastoma multiforme (GBM) represents the most common and aggressive central nervous system tumor associated with a poor prognosis. The aim of this study was to depict the role of intraoperative imaging techniques in GBM surgery and how they can ensure the maximal extent of resection (EOR) while preserving the functional outcome. The authors conducted a systematic review following PRISMA guidelines on the PubMed/Medline and Scopus databases. A total of 1747 articles were identified for screening. Studies focusing on GBM-affected patients, and evaluations of EOR and functional outcomes with the aid of advanced image-guided techniques were included. The resulting studies were assessed for methodological quality using the Risk of Bias in Systematic Review tool. Open Science Framework registration DOI 10.17605/OSF.IO/3FDP9. Eighteen studies were eligible for this systematic review. Among the selected studies, eight analyzed Sodium Fluorescein, three analyzed 5-aminolevulinic acid, two evaluated IoMRI imaging, two evaluated IoUS, and three evaluated multiple intraoperative imaging techniques. A total of 1312 patients were assessed. Gross Total Resection was achieved in the 78.6% of the cases. Follow-up time ranged from 1 to 52 months. All studies assessed the functional outcome based on the Karnofsky Performance Status scale, while one used the Neurologic Assessment in Neuro-Oncology score. In 77.7% of the cases, the functional outcome improved or was stable over the pre-operative assessment. Combining multiple intraoperative imaging techniques could provide better results in GBM surgery than a single technique. However, despite good surgical outcomes, patients often present a neurocognitive decline leading to a marked deterioration of the quality of life. Advanced intraoperative image-guided techniques can allow a better understanding of the anatomo-functional relationships between the tumor and the surrounding brain, thus maximizing the EOR while preserving functional outcomes.
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Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes. Cancers (Basel) 2022; 14:cancers14225705. [PMID: 36428797 PMCID: PMC9688206 DOI: 10.3390/cancers14225705] [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: 10/24/2022] [Revised: 11/12/2022] [Accepted: 11/18/2022] [Indexed: 11/22/2022] Open
Abstract
Maximal safe resection is the mainstay of treatment in the neurosurgical management of gliomas, and preserving functional integrity is linked to favorable outcomes. How these modalities differ in their effectiveness on the extent of resection (EOR), survival, and complications remains unknown. A systematic literature search was performed with the following inclusion criteria: published between 2005 and 2022, involving brain glioma surgery, and including one or a combination of intraoperative modalities: intraoperative magnetic resonance imaging (iMRI), awake/general anesthesia craniotomy mapping (AC/GA), fluorescence-guided imaging, or combined modalities. Of 525 articles, 464 were excluded and 61 articles were included, involving 5221 glioma patients, 7(11.4%) articles used iMRI, 21(36.8%) used cortical mapping, 15(24.5%) used 5-aminolevulinic acid (5-ALA) or fluorescein sodium, and 18(29.5%) used combined modalities. The heterogeneity in reporting the amount of surgical resection prevented further analysis. Progression-free survival/overall survival (PFS/OS) were reported in 18/61(29.5%) articles, while complications and permanent disability were reported in 38/61(62.2%) articles. The reviewed studies demonstrate that intraoperative adjuncts such as iMRI, AC/GA mapping, fluorescence-guided imaging, and a combination of these modalities improve EOR. However, PFS/OS were underreported. Combining multiple intraoperative modalities seems to have the highest effect compared to each adjunct alone.
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Haddad AF, Aghi MK, Butowski N. Novel intraoperative strategies for enhancing tumor control: Future directions. Neuro Oncol 2022; 24:S25-S32. [PMID: 36322096 PMCID: PMC9629473 DOI: 10.1093/neuonc/noac090] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2023] Open
Abstract
Maximal safe surgical resection plays a key role in the care of patients with gliomas. A range of technologies have been developed to aid surgeons in distinguishing tumor from normal tissue, with the goal of increasing tumor resection and limiting postoperative neurological deficits. Technologies that are currently being investigated to aid in improving tumor control include intraoperative imaging modalities, fluorescent tumor makers, intraoperative cell and molecular profiling of tumors, improved microscopic imaging, intraoperative mapping, augmented and virtual reality, intraoperative drug and radiation delivery, and ablative technologies. In this review, we summarize the aforementioned advancements in neurosurgical oncology and implications for improving patient outcomes.
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Affiliation(s)
- Alexander F Haddad
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA
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10
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Mosteiro A, Di Somma A, Ramos PR, Ferrés A, De Rosa A, González-Ortiz S, Enseñat J, González JJ. Is intraoperative ultrasound more efficient than magnetic resonance in neurosurgical oncology? An exploratory cost-effectiveness analysis. Front Oncol 2022; 12:1016264. [PMID: 36387079 PMCID: PMC9650059 DOI: 10.3389/fonc.2022.1016264] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/05/2022] [Indexed: 11/22/2022] Open
Abstract
Objective Intraoperative imaging is a chief asset in neurosurgical oncology, it improves the extent of resection and postoperative outcomes. Imaging devices have evolved considerably, in particular ultrasound (iUS) and magnetic resonance (iMR). Although iUS is regarded as a more economically convenient and yet effective asset, no formal comparison between the efficiency of iUS and iMR in neurosurgical oncology has been performed. Methods A cost-effectiveness analysis comparing two single-center prospectively collected surgical cohorts, classified according to the intraoperative imaging used. iMR (2013-2016) and iUS (2021-2022) groups comprised low- and high-grade gliomas, with a maximal safe resection intention. Units of health gain were gross total resection and equal or increased Karnofsky performance status. Surgical and health costs were considered for analysis. The incremental cost-effectiveness ratio (ICER) was calculated for the two intervention alternatives. The cost-utility graphic and the evolution of surgical duration with the gained experience were also analyzed. Results 50 patients followed an iMR-assisted operation, while 17 underwent an iUS-guided surgery. Gross total resection was achieved in 70% with iMR and in 60% with iUS. Median postoperative Karnofsky was similar in both group (KPS 90). Health costs were € 3,220 higher with iMR, and so were surgical-related costs (€ 1,976 higher). The ICER was € 322 per complete resection obtained with iMR, and € 644 per KPS gained or maintained with iMR. When only surgical-related costs were analyzed, ICER was € 198 per complete resection with iMR and € 395 per KPS gained or maintained. Conclusion This is an unprecedented but preliminary cost-effectiveness analysis of the two most common intraoperative imaging devices in neurosurgical oncology. iMR, although being costlier and time-consuming, seems cost-effective in terms of complete resection rates and postoperative performance status. However, the differences between both techniques are small. Possibly, iMR and iUS are complementary aids during the resection: iUS real-time images assist while advancing towards the tumor limits, informing about the distance to relevant landmarks and correcting neuronavigation inaccuracy due to brain shift. Yet, at the end of resection, it is the iMR that reliably corroborates whether residual tumor remains.
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Affiliation(s)
- Alejandra Mosteiro
- Department of Neurosurgery, Hospital Clínic de Barcelona, Barcelona, Spain
- Facultad de Medicina, Universitat de Barcelona, Barcelona, Spain
- *Correspondence: Alejandra Mosteiro,
| | - Alberto Di Somma
- Department of Neurosurgery, Hospital Clínic de Barcelona, Barcelona, Spain
- Facultad de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Pedro Roldán Ramos
- Department of Neurosurgery, Hospital Clínic de Barcelona, Barcelona, Spain
- Facultad de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Abel Ferrés
- Department of Neurosurgery, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Andrea De Rosa
- Division of Neurosurgery, Università degli Studi di Napoli “Federico II”, Naples, Italy
| | - Sofía González-Ortiz
- Division of Neurosurgery, Università degli Studi di Napoli “Federico II”, Naples, Italy
| | - Joaquim Enseñat
- Department of Neurosurgery, Hospital Clínic de Barcelona, Barcelona, Spain
- Facultad de Medicina, Universitat de Barcelona, Barcelona, Spain
| | - Jose Juan González
- Department of Neurosurgery, Hospital Clínic de Barcelona, Barcelona, Spain
- Facultad de Medicina, Universitat de Barcelona, Barcelona, Spain
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Surgical Treatment of Glioblastoma: State-of-the-Art and Future Trends. J Clin Med 2022; 11:jcm11185354. [PMID: 36143001 PMCID: PMC9505564 DOI: 10.3390/jcm11185354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/17/2022] [Accepted: 08/31/2022] [Indexed: 11/22/2022] Open
Abstract
Glioblastoma (GBM) is a highly aggressive disease and is associated with poor prognosis despite treatment advances in recent years. Surgical resection of tumor remains the main therapeutic option when approaching these patients, especially when combined with adjuvant radiochemotherapy. In the present study, we conducted a comprehensive literature review on the state-of-the-art and future trends of the surgical treatment of GBM, emphasizing topics that have been the object of recent study.
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12
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Rosenstock T, Pöser P, Wasilewski D, Bauknecht HC, Grittner U, Picht T, Misch M, Onken JS, Vajkoczy P. MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases. Front Oncol 2022; 12:873175. [PMID: 35651793 PMCID: PMC9149256 DOI: 10.3389/fonc.2022.873175] [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: 02/10/2022] [Accepted: 04/07/2022] [Indexed: 11/13/2022] Open
Abstract
Object Recent studies demonstrated that gross total resection of brain metastases cannot always be achieved. Subtotal resection (STR) can result in an early recurrence and might affect patient survival. We initiated a prospective observational study to establish a MRI-based risk assessment for incomplete resection of brain metastases. Methods All patients in whom ≥1 brain metastasis was resected were prospectively included in this study (DRKS ID: DRKS00021224; Nov 2020 - Nov 2021). An interdisciplinary board of neurosurgeons and neuroradiologists evaluated the pre- and postoperative MRI (≤48h after surgery) for residual tumor. Extensive neuroradiological analyses were performed to identify risk factors for an unintended STR which were integrated into a regression tree analysis to determine the patients' individual risk for a STR. Results We included 150 patients (74 female; mean age: 61 years), in whom 165 brain metastases were resected. A STR was detected in 32 cases (19.4%) (median residual tumor volume: 1.36ml, median EORrel: 93.6%), of which 6 (3.6%) were intended STR (median residual tumor volume: 3.27ml, median EORrel: 67.3%) - mainly due to motor-eloquent location - and 26 (15.8%) were unintended STR (uSTR) (median residual tumor volume: 0.64ml, median EORrel: 94.7%). The following risk factors for an uSTR could be identified: subcortical metastasis ≥5mm distant from cortex, diffuse contrast agent enhancement, proximity to the ventricles, contact to falx/tentorium and non-transcortical approaches. Regression tree analysis revealed that the individual risk for an uSTR was mainly associated to the distance from the cortex (distance ≥5mm vs. <5mm: OR 8.0; 95%CI: 2.7 - 24.4) and the contrast agent patterns (diffuse vs. non-diffuse in those with distance ≥5mm: OR: 4.2; 95%CI: 1.3 - 13.7). The preoperative tumor volume was not substantially associated with the extent of resection. Conclusions Subcortical metastases ≥5mm distant from cortex with diffuse contrast agent enhancement showed the highest incidence of uSTR. The proposed MRI-based assessment allows estimation of the individual risk for uSTR and can help indicating intraoperative imaging.
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Affiliation(s)
- Tizian Rosenstock
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Digital Clinician Scientist Program, Berlin, Germany
| | - Paul Pöser
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - David Wasilewski
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Hans-Christian Bauknecht
- Institute of Neuroradiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Ulrike Grittner
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Thomas Picht
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Cluster of Excellence: "Matters of Activity. Image Space Material," Humboldt University, Berlin, Germany
| | - Martin Misch
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Julia Sophie Onken
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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13
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Matsumae M, Nishiyama J, Kuroda K. Intraoperative MR Imaging during Glioma Resection. Magn Reson Med Sci 2022; 21:148-167. [PMID: 34880193 PMCID: PMC9199972 DOI: 10.2463/mrms.rev.2021-0116] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/11/2021] [Indexed: 11/09/2022] Open
Abstract
One of the major issues in the surgical treatment of gliomas is the concern about maximizing the extent of resection while minimizing neurological impairment. Thus, surgical planning by carefully observing the relationship between the glioma infiltration area and eloquent area of the connecting fibers is crucial. Neurosurgeons usually detect an eloquent area by functional MRI and identify a connecting fiber by diffusion tensor imaging. However, during surgery, the accuracy of neuronavigation can be decreased due to brain shift, but the positional information may be updated by intraoperative MRI and the next steps can be planned accordingly. In addition, various intraoperative modalities may be used to guide surgery, including neurophysiological monitoring that provides real-time information (e.g., awake surgery, motor-evoked potentials, and sensory evoked potential); photodynamic diagnosis, which can identify high-grade glioma cells; and other imaging techniques that provide anatomical information during the surgery. In this review, we present the historical and current context of the intraoperative MRI and some related approaches for an audience active in the technical, clinical, and research areas of radiology, as well as mention important aspects regarding safety and types of devices.
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Affiliation(s)
- Mitsunori Matsumae
- Department of Neurosurgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan
| | - Jun Nishiyama
- Department of Neurosurgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan
| | - Kagayaki Kuroda
- Department of Human and Information Sciences, School of Information Science and Technology, Tokai University, Hiratsuka, Kanagawa, Japan
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14
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Cho SS, Salinas R, De Ravin E, Teng CW, Li C, Abdullah KG, Buch L, Hussain J, Ahmed F, Dorsey J, Mohan S, Brem S, Singhal S, Lee JYK. Near-Infrared Imaging with Second-Window Indocyanine Green in Newly Diagnosed High-Grade Gliomas Predicts Gadolinium Enhancement on Postoperative Magnetic Resonance Imaging. Mol Imaging Biol 2021; 22:1427-1437. [PMID: 31712948 DOI: 10.1007/s11307-019-01455-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Intraoperative molecular imaging with tumor-targeting fluorophores offers real-time detection of neoplastic tissue. The second window indocyanine green (SWIG) technique relies on passive accumulation of indocyanine green (ICG), a near-infrared fluorophore, in neoplastic tissues. In this study, we explore the ability of SWIG to detect neoplastic tissue and to predict postoperative magnetic resonance imaging (MRI) findings intraoperatively. PROCEDURES Retrospective data were collected from 36 patients with primary high-grade gliomas (HGG) enrolled as part of a larger trial between October 2014 and October 2018. Patients received systemic ICG infusions at 2.5-5 mg/kg 24 h preoperatively. Near-infrared fluorescence was recorded throughout the case and from biopsy specimens. The presence/location of residual SWIG signal after resection was compared to the presence/location of residual gadolinium enhancement on postoperative MRI. The extent of resection was not changed based on near-infrared imaging. RESULTS All 36 lesions demonstrated strong near-infrared fluorescence (signal-to-background = 6.8 ± 2.2) and 100 % of tumors reaching the cortex were visualized before durotomy. In 78 biopsy specimens, near-infrared imaging demonstrated higher sensitivity and accuracy than white light for diagnosing neoplastic tissue intraoperatively. Furthermore, near-infrared imaging predicted gadolinium enhancement on postoperative MRI with 91 % accuracy, with visualization of residual enhancement as small as 0.3 cm3. Patients with no residual near-infrared signal after resection were significantly more likely to have complete resection on postoperative MRI (p value < 0.0001). CONCLUSIONS Intraoperative imaging with SWIG demonstrates highly sensitive detection of HGG tissue in real time. Furthermore, post-resection near-infrared imaging correlates with postoperative MRI. Overall, our findings suggest that SWIG can provide surgeons with MRI-like results in real time, potentially increasing resection rates.
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Affiliation(s)
- Steve S Cho
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan Salinas
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Emma De Ravin
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Clare W Teng
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Carrie Li
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Kalil G Abdullah
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Love Buch
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jasmin Hussain
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Fahad Ahmed
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jay Dorsey
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Steven Brem
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sunil Singhal
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - John Y K Lee
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
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15
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Shah AS, Sylvester PT, Yahanda AT, Vellimana AK, Dunn GP, Evans J, Rich KM, Dowling JL, Leuthardt EC, Dacey RG, Kim AH, Grubb RL, Zipfel GJ, Oswood M, Jensen RL, Sutherland GR, Cahill DP, Abram SR, Honeycutt J, Shah M, Tao Y, Chicoine MR. Intraoperative MRI for newly diagnosed supratentorial glioblastoma: a multicenter-registry comparative study to conventional surgery. J Neurosurg 2021; 135:505-514. [PMID: 33035996 DOI: 10.3171/2020.6.jns19287] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 06/04/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Intraoperative MRI (iMRI) is used in the surgical treatment of glioblastoma, with uncertain effects on outcomes. The authors evaluated the impact of iMRI on extent of resection (EOR) and overall survival (OS) while controlling for other known and suspected predictors. METHODS A multicenter retrospective cohort of 640 adult patients with newly diagnosed supratentorial glioblastoma who underwent resection was evaluated. iMRI was performed in 332/640 cases (51.9%). Reviews of MRI features and tumor volumetric analysis were performed on a subsample of cases (n = 286; 110 non-iMRI, 176 iMRI) from a single institution. RESULTS The median age was 60.0 years (mean 58.5 years, range 20.5-86.3 years). The median OS was 17.0 months (95% CI 15.6-18.4 months). Gross-total resection (GTR) was achieved in 403/640 cases (63.0%). Kaplan-Meier analysis of 286 cases with volumetric analysis for EOR (grouped into 100%, 95%-99%, 80%-94%, and 50%-79%) showed longer OS for 100% EOR compared to all other groups (p < 0.01). Additional resection after iMRI was performed in 104/122 cases (85.2%) with initial subtotal resection (STR), leading to a 6.3% mean increase in EOR and a 2.2-cm3 mean decrease in tumor volume. For iMRI cases with volumetric analysis, the GTR rate increased from 54/176 (30.7%) on iMRI to 126/176 (71.5%) postoperatively. The EOR was significantly higher in the iMRI group for intended GTR and STR groups (p = 0.02 and p < 0.01, respectively). Predictors of GTR on multivariate logistic regression included iMRI use and intended GTR. Predictors of shorter OS on multivariate Cox regression included older age, STR, isocitrate dehydrogenase 1 (IDH1) wild type, no O 6-methylguanine DNA methyltransferase (MGMT) methylation, and no Stupp therapy. iMRI was a significant predictor of OS on univariate (HR 0.82, 95% CI 0.69-0.98; p = 0.03) but not multivariate analyses. Use of iMRI was not associated with an increased rate of new permanent neurological deficits. CONCLUSIONS GTR increased OS for patients with newly diagnosed glioblastoma after adjusting for other prognostic factors. iMRI increased EOR and GTR rate and was a significant predictor of GTR on multivariate analysis; however, iMRI was not an independent predictor of OS. Additional supporting evidence is needed to determine the clinical benefit of iMRI in the management of glioblastoma.
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Affiliation(s)
- Amar S Shah
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Peter T Sylvester
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Alexander T Yahanda
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Ananth K Vellimana
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Gavin P Dunn
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - John Evans
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Keith M Rich
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Joshua L Dowling
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Eric C Leuthardt
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Ralph G Dacey
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Albert H Kim
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Robert L Grubb
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Gregory J Zipfel
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Mark Oswood
- 2Department of Radiology, University of Minnesota, Minneapolis, Minnesota
- 3Allina Health, Minneapolis, Minnesota
| | - Randy L Jensen
- 4Department of Neurosurgery, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Garnette R Sutherland
- 5Department of Clinical Sciences and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Daniel P Cahill
- 6Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Steven R Abram
- 7Department of Neurosurgery, St. Thomas Hospital, Nashville, Tennessee
| | - John Honeycutt
- 8Department of Neurosurgery, Cook Children's Hospital, Fort Worth, Texas; and
| | - Mitesh Shah
- 9Department of Neurological Surgery, Goodman Campbell and Indiana University, Indianapolis, Indiana
| | - Yu Tao
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Michael R Chicoine
- 1Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
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16
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Rogers CM, Jones PS, Weinberg JS. Intraoperative MRI for Brain Tumors. J Neurooncol 2021; 151:479-490. [PMID: 33611714 DOI: 10.1007/s11060-020-03667-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 11/23/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The use of intraoperative imaging has been a critical tool in the neurosurgeon's armamentarium and is of particular benefit during tumor surgery. This article summarizes the history of its development, implementation, clinical experience and future directions. METHODS We reviewed the literature focusing on the development and clinical experience with intraoperative MRI. Utilizing the authors' personal experience as well as evidence from the literature, we present an overview of the utility of MRI during neurosurgery. RESULTS In the 1990s, the first description of using a low field MRI in the operating room was published describing the additional benefit provided by improved resolution of MRI as compared to ultrasound. Since then, implementation has varied in magnetic field strength and in configuration from floor mounted to ceiling mounted units as well as those that are accessible to the operating room for use during surgery and via an outpatient entrance to use for diagnostic imaging. The experience shows utility of this technique for increasing extent of resection for low and high grade tumors as well as preventing injury to important structures while incorporating techniques such as intraoperative monitoring. CONCLUSION This article reviews the history of intraoperative MRI and presents a review of the literature revealing the successful implementation of this technology and benefits noted for the patient and the surgeon.
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Affiliation(s)
- Cara Marie Rogers
- Department of Neurosurgery, Virginia Tech Carilion, Roanoke, VA, USA
| | - Pamela S Jones
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeffrey S Weinberg
- Department of Neurosurgery, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
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Lo YT, Lee H, Shui C, Lamba N, Korde R, Devi S, Chawla S, Nam Y, Patel R, Doucette J, Bunevicius A, Mekary RA. Intraoperative Magnetic Resonance Imaging for Low-Grade and High-Grade Gliomas: What Is the Evidence? A Meta-Analysis. World Neurosurg 2021; 149:232-243.e3. [PMID: 33540099 DOI: 10.1016/j.wneu.2021.01.089] [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: 12/08/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND The benefit of intraoperative magnetic resonance imaging (iMRI) in gliomas remains unclear. We performed a meta-analysis of outcomes with iMRI-guided surgery in high-grade gliomas (HGGs) and low-grade gliomas (LGGs). METHODS Databases were searched until November 29, 2018 for randomized controlled trials (RCTs) and observational studies (OBS) comparing iMRI use with conventional neurosurgery. Pooled risk ratios (RRs) or hazard ratios were evaluated with the random-effects model. Outcomes included extent of resection (EOR), gross total resection (GTR), progression-free survival (PFS), overall survival (OS), and length of surgery (LOS), stratified by study design and glioma grade. RESULTS Fifteen articles (3 RCTs and 12 OBS) were included. In RCTs, GTR was higher in iMRI compared with conventional neurosurgery (RR, 1.42; 95% confidence interval [CI], 1.17-1.73; I2, 7%) overall, for LGGs (1.91; 95% CI, 1.19-3.06), but not HGGs (1.24; 95% CI, 0.89-1.73), with no difference in EOR, PFS, OS, and LOS. For OBS, GTR was higher (RR, 1.65; 95% CI, 1.43-1.90; I2, 4%) overall, and for LGGs (1.63; 95% CI, 1.17-2.28; I2, 0%) and HGGs (1.62; 95% CI, 1.36-1.92; I2, 19%). EOR was greater with iMRI (6%; 95% CI, 4%-8%; I2, 44%) overall, in LGGs (5%; 95% CI, 2%-8%; I2, 37%) and HGGs (7%; 95% CI, 4%-10%; I2, 13%). There was no difference in PFS, OS, and LOS with iMRI. CONCLUSIONS IMRI use improved GTR in gliomas, including LGGs. However, no PFS and OS benefit was shown in the meta-analysis.
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Affiliation(s)
- Yu Tung Lo
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Neurosurgery, National Neuroscience Institute, Singapore
| | - Hyunkyung Lee
- School of Pharmacy, MCPHS University, Boston, Massachusetts, USA
| | - Cher Shui
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Nayan Lamba
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Radiation Oncology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Rasika Korde
- School of Pharmacy, MCPHS University, Boston, Massachusetts, USA
| | - Sharmila Devi
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA; Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Shreya Chawla
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA; Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Younjong Nam
- School of Pharmacy, MCPHS University, Boston, Massachusetts, USA
| | - Romel Patel
- School of Pharmacy, MCPHS University, Boston, Massachusetts, USA
| | - Joanne Doucette
- School of Pharmacy, MCPHS University, Boston, Massachusetts, USA
| | - Adomas Bunevicius
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA; Neuroscience Institute, Lithuanian University of Health Science, Kaunas, Lithuania; Department of Neurosurgery, University of Virginia, Charlottesville, Virginia, USA
| | - Rania A Mekary
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA; School of Pharmacy, MCPHS University, Boston, Massachusetts, USA.
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18
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Golub D, Hyde J, Dogra S, Nicholson J, Kirkwood KA, Gohel P, Loftus S, Schwartz TH. Intraoperative MRI versus 5-ALA in high-grade glioma resection: a network meta-analysis. J Neurosurg 2021; 134:484-498. [PMID: 32084631 DOI: 10.3171/2019.12.jns191203] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 12/16/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE High-grade gliomas (HGGs) continue to carry poor prognoses, and patient outcomes depend heavily on the extent of resection (EOR). The utility of conventional image-guided surgery is limited by intraoperative brain shift. More recent techniques to maximize EOR, including intraoperative imaging and the use of fluorescent dyes, combat these limitations. However, the relative efficacy of these two techniques has never been systematically compared. Thus, the authors performed an exhaustive systematic review in conjunction with quantitative network meta-analyses to evaluate the comparative effectiveness of 5-aminolevulinic acid (5-ALA) and intraoperative MRI (IMRI) in optimizing EOR in HGG. They secondarily analyzed associated progression-free and overall survival and performed subgroup analyses by level of evidence. METHODS PubMed, Embase, Cochrane Central, and Web of Science were searched for studies evaluating conventional neuronavigation, IMRI, and 5-ALA in HGG resection. The primary study endpoint was the proportion of patients attaining gross-total resection (GTR), defined as 100% elimination of contrast-enhancing lesion on postoperative MRI. Secondary endpoints included overall and progression-free survival and subgroup analyses for level of evidence. Comparative efficacy analysis of IMRI and 5-ALA was performed using Bayesian network meta-analysis models. RESULTS This analysis included 11 studies. In a classic meta-analysis, both IMRI (OR 4.99, 95% CI 2.65-9.39, p < 0.001) and 5-ALA (OR 2.866, 95% CI 2.127-3.863, p < 0.001) were superior to conventional navigation in achieving GTR. Bayesian network analysis was employed to indirectly compare IMRI to 5-ALA, and no significant difference in GTR was found between the two (OR 1.9 favoring IMRI, 95% CI 0.905-3.989, p = 0.090). A handful of studies additionally suggested that the use of either IMRI (2 and 4 studies, respectively) or 5-ALA (2 and 2 studies, respectively) improves progression-free and overall survival. CONCLUSIONS IMRI and 5-ALA are individually superior to conventional neuronavigation for achieving GTR of HGG. Between IMRI and 5-ALA, neither method is clearly more effective. Future studies evaluating the comparative cost and surgical time associated with IMRI and 5-ALA will better inform any cost-benefit analysis.
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Affiliation(s)
| | | | - Siddhant Dogra
- 2Radiology, New York University School of Medicine, New York, New York
| | - Joseph Nicholson
- 3NYU Health Sciences Library, New York University School of Medicine, New York, New York
| | - Katherine A Kirkwood
- 4Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Stephen Loftus
- 5Department of Science, Technology, Engineering and Math, Sweet Briar College, Sweet Briar, Virginia
| | - Theodore H Schwartz
- 6Departments of Neurosurgery, Otolaryngology, and Neuroscience, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, New York; and
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19
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Schupper AJ, Yong RL, Hadjipanayis CG. The Neurosurgeon's Armamentarium for Gliomas: An Update on Intraoperative Technologies to Improve Extent of Resection. J Clin Med 2021; 10:jcm10020236. [PMID: 33440712 PMCID: PMC7826675 DOI: 10.3390/jcm10020236] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/06/2021] [Accepted: 01/08/2021] [Indexed: 12/18/2022] Open
Abstract
Maximal safe resection is the standard of care in the neurosurgical treatment of high-grade gliomas. To aid surgeons in the operating room, adjuvant techniques and technologies centered around improving intraoperative visualization of tumor tissue have been developed. In this review, we will discuss the most advanced technologies, specifically fluorescence-guided surgery, intraoperative imaging, neuromonitoring modalities, and microscopic imaging techniques. The goal of these technologies is to improve detection of tumor tissue beyond what conventional microsurgery has permitted. We describe the various advances, the current state of the literature that have tested the utility of the different adjuvants in clinical practice, and future directions for improving intraoperative technologies.
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20
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Fountain DM, Bryant A, Barone DG, Waqar M, Hart MG, Bulbeck H, Kernohan A, Watts C, Jenkinson MD. Intraoperative imaging technology to maximise extent of resection for glioma: a network meta-analysis. Cochrane Database Syst Rev 2021; 1:CD013630. [PMID: 33428222 PMCID: PMC8094975 DOI: 10.1002/14651858.cd013630.pub2] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Multiple studies have identified the prognostic relevance of extent of resection in the management of glioma. Different intraoperative technologies have emerged in recent years with unknown comparative efficacy in optimising extent of resection. One previous Cochrane Review provided low- to very low-certainty evidence in single trial analyses and synthesis of results was not possible. The role of intraoperative technology in maximising extent of resection remains uncertain. Due to the multiple complementary technologies available, this research question is amenable to a network meta-analysis methodological approach. OBJECTIVES To establish the comparative effectiveness and risk profile of specific intraoperative imaging technologies using a network meta-analysis and to identify cost analyses and economic evaluations as part of a brief economic commentary. SEARCH METHODS We searched CENTRAL (2020, Issue 5), MEDLINE via Ovid to May week 2 2020, and Embase via Ovid to 2020 week 20. We performed backward searching of all identified studies. We handsearched two journals, Neuro-oncology and the Journal of Neuro-oncology from 1990 to 2019 including all conference abstracts. Finally, we contacted recognised experts in neuro-oncology to identify any additional eligible studies and acquire information on ongoing randomised controlled trials (RCTs). SELECTION CRITERIA RCTs evaluating people of all ages with presumed new or recurrent glial tumours (of any location or histology) from clinical examination and imaging (computed tomography (CT) or magnetic resonance imaging (MRI), or both). Additional imaging modalities (e.g. positron emission tomography, magnetic resonance spectroscopy) were not mandatory. Interventions included fluorescence-guided surgery, intraoperative ultrasound, neuronavigation (with or without additional image processing, e.g. tractography), and intraoperative MRI. DATA COLLECTION AND ANALYSIS Two review authors independently assessed the search results for relevance, undertook critical appraisal according to known guidelines, and extracted data using a prespecified pro forma. MAIN RESULTS We identified four RCTs, using different intraoperative imaging technologies: intraoperative magnetic resonance imaging (iMRI) (2 trials, with 58 and 14 participants); fluorescence-guided surgery with 5-aminolevulinic acid (5-ALA) (1 trial, 322 participants); and neuronavigation (1 trial, 45 participants). We identified one ongoing trial assessing iMRI with a planned sample size of 304 participants for which results are expected to be published around winter 2020. We identified no published trials for intraoperative ultrasound. Network meta-analyses or traditional meta-analyses were not appropriate due to absence of homogeneous trials across imaging technologies. Of the included trials, there was notable heterogeneity in tumour location and imaging technologies utilised in control arms. There were significant concerns regarding risk of bias in all the included studies. One trial of iMRI found increased extent of resection (risk ratio (RR) for incomplete resection was 0.13, 95% confidence interval (CI) 0.02 to 0.96; 49 participants; very low-certainty evidence) and one trial of 5-ALA (RR for incomplete resection was 0.55, 95% CI 0.42 to 0.71; 270 participants; low-certainty evidence). The other trial assessing iMRI was stopped early after an unplanned interim analysis including 14 participants; therefore, the trial provided very low-quality evidence. The trial of neuronavigation provided insufficient data to evaluate the effects on extent of resection. Reporting of adverse events was incomplete and suggestive of significant reporting bias (very low-certainty evidence). Overall, the proportion of reported events was low in most trials and, therefore, issues with power to detect differences in outcomes that may or may not have been present. Survival outcomes were not adequately reported, although one trial reported no evidence of improvement in overall survival with 5-ALA (hazard ratio (HR) 0.82, 95% CI 0.62 to 1.07; 270 participants; low-certainty evidence). Data for quality of life were only available for one study and there was significant attrition bias (very low-certainty evidence). AUTHORS' CONCLUSIONS Intraoperative imaging technologies, specifically 5-ALA and iMRI, may be of benefit in maximising extent of resection in participants with high-grade glioma. However, this is based on low- to very low-certainty evidence. Therefore, the short- and long-term neurological effects are uncertain. Effects of image-guided surgery on overall survival, progression-free survival, and quality of life are unclear. Network and traditional meta-analyses were not possible due to the identified high risk of bias, heterogeneity, and small trials included in this review. A brief economic commentary found limited economic evidence for the equivocal use of iMRI compared with conventional surgery. In terms of costs, one non-systematic review of economic studies suggested that, compared with standard surgery, use of image-guided surgery has an uncertain effect on costs and that 5-ALA was more costly. Further research, including completion of ongoing trials of ultrasound-guided surgery, is needed.
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Affiliation(s)
- Daniel M Fountain
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, UK
| | - Andrew Bryant
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | - Damiano Giuseppe Barone
- Department of Clinical Neurosciences, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Mueez Waqar
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, UK
| | - Michael G Hart
- Academic Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrookes Hospital, Cambridge, UK
| | | | - Ashleigh Kernohan
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Colin Watts
- Chair Birmingham Brain Cancer Program, University of Birmingham, Edgbaston, UK
| | - Michael D Jenkinson
- Department of Neurosurgery & Institute of Systems Molecular and Integrative Biology, The Walton Centre & University of Liverpool, Liverpool, UK
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21
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Garcia-Garcia S, García-Lorenzo B, Ramos PR, Gonzalez-Sanchez JJ, Culebras D, Restovic G, Alcover E, Pons I, Torales J, Reyes L, Sampietro-Colom L, Enseñat J. Cost-Effectiveness of Low-Field Intraoperative Magnetic Resonance in Glioma Surgery. Front Oncol 2020; 10:586679. [PMID: 33224884 PMCID: PMC7667256 DOI: 10.3389/fonc.2020.586679] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 10/09/2020] [Indexed: 12/01/2022] Open
Abstract
Object Low-field intraoperative magnetic resonance (LF-iMR) has demonstrated a slight increase in the extent of resection of intra-axial tumors while preserving patient`s neurological outcomes. However, whether this improvement is cost-effective or not is still matter of controversy. In this clinical investigation we sought to evaluate the cost-effectiveness of the implementation of a LF-iMR in glioma surgery. Methods Patients undergoing LF-iMR guided glioma surgery with gross total resection (GTR) intention were prospectively collected and compared to an historical cohort operated without this technology. Socio-demographic and clinical variables (pre and postoperative KPS; histopathological classification; Extent of resection; postoperative complications; need of re-intervention within the first year and 1-year postoperative survival) were collected and analyzed. Effectiveness variables were assessed in both groups: Postoperative Karnofsky performance status scale (pKPS); overall survival (OS); Progression-free survival (PFS); and a variable accounting for the number of patients with a greater than subtotal resection and same or higher postoperative KPS (R-KPS). All preoperative, procedural and postoperative costs linked to the treatment were considered for the cost-effectiveness analysis (diagnostic procedures, prosthesis, operating time, hospitalization, consumables, LF-iMR device, etc). Deterministic and probabilistic simulations were conducted to evaluate the consistency of our analysis. Results 50 patients were operated with LF-iMR assistance, while 146 belonged to the control group. GTR rate, pKPS, R-KPS, PFS, and 1-year OS were respectively 13,8% (not significative), 7 points (p < 0.05), 17% (p < 0.05), 38 days (p < 0.05), and 3.7% (not significative) higher in the intervention group. Cost-effectiveness analysis showed a mean incremental cost per patient of 789 € in the intervention group. Incremental cost-effectiveness ratios were 111 € per additional point of pKPS, 21 € per additional day free of progression, and 46 € per additional percentage point of R-KPS. Conclusion Glioma patients operated under LF-iMR guidance experience a better functional outcome, higher resection rates, less complications, better PFS rates but similar life expectancy compared to conventional techniques. In terms of efficiency, LF-iMR is very close to be a dominant technology in terms of R-KPS, PFS and pKPS.
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Affiliation(s)
| | - Borja García-Lorenzo
- Assessment of Innovations and New Technologies Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | | | | | - Diego Culebras
- Department of Neurological Surgery, Hospital Clinic, Barcelona, Spain
| | - Gabriela Restovic
- Assessment of Innovations and New Technologies Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Estanis Alcover
- Economic and Financial Management Department, Hospital Clinic, Barcelona, Spain
| | - Imma Pons
- Economic and Financial Management Department, Hospital Clinic, Barcelona, Spain
| | - Jorge Torales
- Department of Neurological Surgery, Hospital Clinic, Barcelona, Spain
| | - Luis Reyes
- Department of Neurological Surgery, Hospital Clinic, Barcelona, Spain
| | - Laura Sampietro-Colom
- Assessment of Innovations and New Technologies Unit, Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Joaquim Enseñat
- Department of Neurological Surgery, Hospital Clinic, Barcelona, Spain
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Yamada H, Maruyama T, Konishi Y, Masamune K, Muragaki Y. Reliability of Residual Tumor Estimation Based on Navigation Log. Neurol Med Chir (Tokyo) 2020; 60:458-467. [PMID: 32801273 PMCID: PMC7490597 DOI: 10.2176/nmc.oa.2020-0042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The mass of residual tumors has previously been estimated using time-series records of the position of surgical instruments acquired from neurosurgical navigation systems (navigation log). This method has been shown to be useful for rapid evaluation of residual tumors during resection. However, quantitative analysis of the method’s reliability has not been sufficiently reported. The effect of poor log coverage is dominant in previous studies, in that it did not highlight other disturbance factors, such as intraoperative brain shift. We analyzed 25 patients with a high log-acquisition rate that was calculated by dividing the log-available time by the instrument-use time. We estimated the region of resection using the trajectory of surgical instrument that was extracted from the navigation log. We then calculated the residual tumor region and measured its volume as log-estimation residual tumor volume (RTV). We evaluated the correlation between the log-estimation RTV and the RTV in the post-resection magnetic resonance (MR) image. We also evaluated the accuracy of detecting the residual tumor mass using the estimated residual tumor region. The log-estimation RTV and the RTV in the post-resection MR image were significantly correlated (correlation coefficient = 0.960; P <0.001). The presence of patient-wise residual tumor mass was detected with a sensitivity of 81.8% and a specificity of 92.9%. The individual residual tumor mass was detected with a positive predictive value of 72%. Estimation of residual tumor with adequate log coverage appears to be a suitable method with a high reliability. This method can support rapid decision-making during resection.
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Affiliation(s)
- Hiroyuki Yamada
- Faculty of Advanced Techno-Surgery, Tokyo Women's Medical University
| | - Takashi Maruyama
- Faculty of Advanced Techno-Surgery, Tokyo Women's Medical University.,Department of Neurosurgery, Tokyo Women's Medical University
| | - Yoshiyuki Konishi
- Faculty of Advanced Techno-Surgery, Tokyo Women's Medical University
| | - Ken Masamune
- Faculty of Advanced Techno-Surgery, Tokyo Women's Medical University
| | - Yoshihiro Muragaki
- Faculty of Advanced Techno-Surgery, Tokyo Women's Medical University.,Department of Neurosurgery, Tokyo Women's Medical University
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23
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Verburg N, de Witt Hamer PC. State-of-the-art imaging for glioma surgery. Neurosurg Rev 2020; 44:1331-1343. [PMID: 32607869 PMCID: PMC8121714 DOI: 10.1007/s10143-020-01337-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/25/2020] [Accepted: 06/15/2020] [Indexed: 11/29/2022]
Abstract
Diffuse gliomas are infiltrative primary brain tumors with a poor prognosis despite multimodal treatment. Maximum safe resection is recommended whenever feasible. The extent of resection (EOR) is positively correlated with survival. Identification of glioma tissue during surgery is difficult due to its diffuse nature. Therefore, glioma resection is imaging-guided, making the choice for imaging technique an important aspect of glioma surgery. The current standard for resection guidance in non-enhancing gliomas is T2 weighted or T2w-fluid attenuation inversion recovery magnetic resonance imaging (MRI), and in enhancing gliomas T1-weighted MRI with a gadolinium-based contrast agent. Other MRI sequences, like magnetic resonance spectroscopy, imaging modalities, such as positron emission tomography, as well as intraoperative imaging techniques, including the use of fluorescence, are also available for the guidance of glioma resection. The neurosurgeon’s goal is to find the balance between maximizing the EOR and preserving brain functions since surgery-induced neurological deficits result in lower quality of life and shortened survival. This requires localization of important brain functions and white matter tracts to aid the pre-operative planning and surgical decision-making. Visualization of brain functions and white matter tracts is possible with functional MRI, diffusion tensor imaging, magnetoencephalography, and navigated transcranial magnetic stimulation. In this review, we discuss the current available imaging techniques for the guidance of glioma resection and the localization of brain functions and white matter tracts.
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Affiliation(s)
- Niels Verburg
- Department of Neurosurgery and Cancer Center Amsterdam, Amsterdam UMC location VU University Medical Center, Amsterdam, The Netherlands. .,Division of Neurosurgery, Department of Clinical Neurosciences, Cambridge Brain Tumor Imaging Laboratory, University of Cambridge, Addenbrooke's Hospital, Hill Rd, Cambridge, CB2 0QQ, UK.
| | - Philip C de Witt Hamer
- Department of Neurosurgery and Cancer Center Amsterdam, Amsterdam UMC location VU University Medical Center, Amsterdam, The Netherlands
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24
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Surface-Registration Frameless Stereotactic Navigation Is Less Accurate During Prone Surgeries: Intraoperative Near-Infrared Visualization Using Second Window Indocyanine Green Offers an Adjunct. Mol Imaging Biol 2020; 22:1572-1580. [PMID: 32232627 DOI: 10.1007/s11307-020-01495-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Frameless neuronavigation allows neurosurgeons to visualize and relate the position of surgical instruments to intracranial pathologies based on preoperative tomographic imaging. However, neuronavigation can often be inaccurate. Multiple factors have been proposed as potential causes, and new technologies are needed to overcome these challenges. OBJECTIVE To evaluate the accuracy of neuronavigation systems compared to near-infrared (NIR) fluorescence imaging using Second Window Indocyanine Green, a novel technique, and to determine factors that lead to neuronavigation errors. METHODS A retrospective analysis was conducted on 56 patients who underwent primary resections of intracranial tumors. Patients received 5 mg/kg ICG approximately 24 h preoperatively. Intraoperatively, neuronavigation was used to plan craniotomies to place the tumors in the center. After craniotomy, NIR imaging visualized tumor-specific NIR signals. The accuracy of neuronavigation and NIR fluorescence imaging for delineating the tumor boundary prior to durotomy was compared. RESULTS The neuronavigation centers and NIR centers were 23.0 ± 7.7 % and 2.6 ± 1.1 % deviated from the tumor centers, respectively, relative to the craniotomy sizes. In 12 cases, significant changes were made to the planned durotomy based on NIR imaging. Patient position was a significant predictor of neuronavigation inaccuracy on both univariate and multivariate analysis, with the prone position having significantly higher inaccuracy (29.2 ± 8.1 %) compared to the supine (16.2 ± 8.1 %, p value < 0.001) or the lateral (17.9 ± 5.1 %, p value = 0.003) positions. CONCLUSION Patient position significantly affects neuronavigation accuracy. Intraoperative NIR fluorescence imaging before durotomy offers an opportunity to readjust the neuronavigation image space to better align with the patient space.
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25
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Piao H, Ye D, Yu T, Shi J. Comparison of intraoperative magnetic resonance imaging, ultrasound, 5-aminolevulinic acid, and neuronavigation for guidance in glioma resection: A network meta-analysis. GLIOMA 2020. [DOI: 10.4103/glioma.glioma_5_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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26
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Reliability of intraoperative ultrasound in detecting tumor residual after brain diffuse glioma surgery: a systematic review and meta-analysis. Neurosurg Rev 2019; 43:1221-1233. [PMID: 31410683 DOI: 10.1007/s10143-019-01160-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 07/28/2019] [Accepted: 08/05/2019] [Indexed: 12/11/2022]
Abstract
Intraoperative ultrasonography (iUS) is considered an accurate, safe, and cost-effective tool to estimate the extent of resection of both high-grade (HGG) and low-grade (DLGG) diffuse gliomas (DGs). However, it is currently missing an evidence-based assessment of iUS diagnostic accuracy in DGs surgery. The objective of review is to perform a systematic review and meta-analysis of the diagnostic performance of iUS in detecting tumor residue after DGs resection. A comprehensive literature search for studies published through October 2018 was performed according to PRISMA-DTA and STARD 2015 guidelines, using the following algorithm: ("ultrasound" OR "ultrasonography" OR "ultra-so*" OR "echo*" OR "eco*") AND ("brain" OR "nervous") AND ("tumor" OR "tumour" OR "lesion" OR "mass" OR "glio*" OR "GBM") AND ("surgery" OR "surgical" OR "microsurg*" OR "neurosurg*"). Pooled sensitivity, specificity, positive and negative likelihood ratios (LR+ and LR-), and diagnostic odds ratio (DOR) of iUS in DGs were calculated. A subgroup analysis for HGGs and DLGGs was also conducted. Thirteen studies were included in the systematic review (665 DGs). Ten articles (409 DGs) were selected for the meta-analysis with the following results: sensitivity 72.2%, specificity 93.5%, LR- 0.29, LR+ 3, and DOR 9.67. Heterogeneity among studies was non-significant. Subgroup analysis demonstrates a better diagnostic performance of iUS for DLGGs compared with HGGs. iUS is an effective technique in assessing DGs resection. No significant differences are seen regarding iUS modality and transducer characteristics. Its diagnostic performance is higher in DLGGs than HGGs and could be worsened by previous treatments, surgical artifacts, and small tumor residue volumes.
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27
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Liu JTC, Sanai N. Trends and Challenges for the Clinical Adoption of Fluorescence-Guided Surgery. J Nucl Med 2019; 60:756-757. [PMID: 30877178 PMCID: PMC6581224 DOI: 10.2967/jnumed.119.226795] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 03/07/2019] [Indexed: 01/11/2023] Open
Affiliation(s)
- Jonathan T C Liu
- Department of Mechanical Engineering, University of Washington, Seattle, Washington .,Department of Pathology, University of Washington School of Medicine, Seattle, Washington; and
| | - Nader Sanai
- Department of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona
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28
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Jenkinson MD, Barone DG, Bryant A, Vale L, Bulbeck H, Lawrie TA, Hart MG, Watts C. Intraoperative imaging technology to maximise extent of resection for glioma. Cochrane Database Syst Rev 2018; 1:CD012788. [PMID: 29355914 PMCID: PMC6491323 DOI: 10.1002/14651858.cd012788.pub2] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Extent of resection is considered to be a prognostic factor in neuro-oncology. Intraoperative imaging technologies are designed to help achieve this goal. It is not clear whether any of these sometimes very expensive tools (or their combination) should be recommended as standard care for people with brain tumours. We set out to determine if intraoperative imaging technology offers any advantage in terms of extent of resection over standard surgery and if any one technology was more effective than another. OBJECTIVES To establish the overall effectiveness and safety of intraoperative imaging technology in resection of glioma. To supplement this review of effects, we also wished to identify cost analyses and economic evaluations as part of a Brief Economic Commentary (BEC). SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (Issue 7, 2017), MEDLINE (1946 to June, week 4, 2017), and Embase (1980 to 2017, week 27). We searched the reference lists of all identified studies. We handsearched two journals, the Journal of Neuro-Oncology and Neuro-oncology, from 1991 to 2017, including all conference abstracts. We contacted neuro-oncologists, trial authors, and manufacturers regarding ongoing and unpublished trials. SELECTION CRITERIA Randomised controlled trials evaluating people of all ages with presumed new or recurrent glial tumours (of any location or histology) from clinical examination and imaging (computed tomography (CT) or magnetic resonance imaging (MRI), or both). Additional imaging modalities (e.g. positron emission tomography, magnetic resonance spectroscopy) were not mandatory. Interventions included intraoperative MRI (iMRI), fluorescence-guided surgery, ultrasound, and neuronavigation (with or without additional image processing, e.g. tractography). DATA COLLECTION AND ANALYSIS Two review authors independently assessed the search results for relevance, undertook critical appraisal according to known guidelines, and extracted data using a prespecified pro forma. MAIN RESULTS We identified four randomised controlled trials, using different intraoperative imaging technologies: iMRI (2 trials including 58 and 14 participants, respectively); fluorescence-guided surgery with 5-aminolevulinic acid (5-ALA) (1 trial, 322 participants); and neuronavigation (1 trial, 45 participants). We identified one ongoing trial assessing iMRI with a planned sample size of 304 participants for which results are expected to be published around autumn 2018. We identified no trials for ultrasound.Meta-analysis was not appropriate due to differences in the tumours included (eloquent versus non-eloquent locations) and variations in the image guidance tools used in the control arms (usually selective utilisation of neuronavigation). There were significant concerns regarding risk of bias in all the included studies. All studies included people with high-grade glioma only.Extent of resection was increased in one trial of iMRI (risk ratio (RR) of incomplete resection 0.13, 95% confidence interval (CI) 0.02 to 0.96; 1 study, 49 participants; very low-quality evidence) and in the trial of 5-ALA (RR of incomplete resection 0.55, 95% CI 0.42 to 0.71; 1 study, 270 participants; low-quality evidence). The other trial assessing iMRI was stopped early after an unplanned interim analysis including 14 participants, therefore the trial provides very low-quality evidence. The trial of neuronavigation provided insufficient data to evaluate the effects on extent of resection.Reporting of adverse events was incomplete and suggestive of significant reporting bias (very low-quality evidence). Overall, reported events were low in most trials. There was no clear evidence of improvement in overall survival with 5-ALA (hazard ratio 0.83, 95% CI 0.62 to 1.07; 1 study, 270 participants; low-quality evidence). Progression-free survival data were not available in an appropriate format for analysis. Data for quality of life were only available for one study and suffered from significant attrition bias (very low-quality evidence). AUTHORS' CONCLUSIONS Intra-operative imaging technologies, specifically iMRI and 5-ALA, may be of benefit in maximising extent of resection in participants with high grade glioma. However, this is based on low to very low quality evidence, and is therefore very uncertain. The short- and long-term neurological effects are uncertain. Effects of image-guided surgery on overall survival, progression-free survival, and quality of life are unclear. A brief economic commentary found limited economic evidence for the equivocal use of iMRI compared with conventional surgery. In terms of costs, a non-systematic review of economic studies suggested that compared with standard surgery use of image-guided surgery has an uncertain effect on costs and that 5-aminolevulinic acid was more costly. Further research, including studies of ultrasound-guided surgery, is needed.
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Affiliation(s)
- Michael D Jenkinson
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Lower Lane, Liverpool, Merseyside, UK, L9 7LJ
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Cordova JS, Gurbani SS, Holder CA, Olson JJ, Schreibmann E, Shi R, Guo Y, Shu HKG, Shim H, Hadjipanayis CG. Semi-Automated Volumetric and Morphological Assessment of Glioblastoma Resection with Fluorescence-Guided Surgery. Mol Imaging Biol 2017; 18:454-62. [PMID: 26463215 DOI: 10.1007/s11307-015-0900-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
PURPOSE Glioblastoma (GBM) neurosurgical resection relies on contrast-enhanced MRI-based neuronavigation. However, it is well-known that infiltrating tumor extends beyond contrast enhancement. Fluorescence-guided surgery (FGS) using 5-aminolevulinic acid (5-ALA) was evaluated to improve extent of resection (EOR) of GBMs. Preoperative morphological tumor metrics were also assessed. PROCEDURES Thirty patients from a phase II trial evaluating 5-ALA FGS in newly diagnosed GBM were assessed. Tumors were segmented preoperatively to assess morphological features as well as postoperatively to evaluate EOR and residual tumor volume (RTV). RESULTS Median EOR and RTV were 94.3 % and 0.821 cm(3), respectively. Preoperative surface area to volume ratio and RTV were significantly associated with overall survival, even when controlling for the known survival confounders. CONCLUSIONS This study supports claims that 5-ALA FGS is helpful at decreasing tumor burden and prolonging survival in GBM. Moreover, morphological indices are shown to impact both resection and patient survival.
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Affiliation(s)
- J Scott Cordova
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA
| | - Saumya S Gurbani
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA
| | - Chad A Holder
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA
| | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.,Winship Cancer Institute of Emory University, Atlanta, GA, 30322, USA
| | - Eduard Schreibmann
- Department of Radiation Oncology, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA
| | - Ran Shi
- Department of Biostatistics, Emory University School of Public Health, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA
| | - Ying Guo
- Department of Biostatistics, Emory University School of Public Health, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA
| | - Hui-Kuo G Shu
- Department of Radiation Oncology, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA.,Winship Cancer Institute of Emory University, Atlanta, GA, 30322, USA
| | - Hyunsuk Shim
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA. .,Winship Cancer Institute of Emory University, Atlanta, GA, 30322, USA.
| | - Costas G Hadjipanayis
- Department of Neurosurgery, Emory University School of Medicine, 1701 Uppergate Drive, C5018, Atlanta, GA, 30322, USA. .,Winship Cancer Institute of Emory University, Atlanta, GA, 30322, USA. .,Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, 10 Union Square, 5th Floor, Suite 5E, New York, NY, 10003, USA.
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Garzon-Muvdi T, Kut C, Li X, Chaichana KL. Intraoperative imaging techniques for glioma surgery. Future Oncol 2017; 13:1731-1745. [PMID: 28795843 DOI: 10.2217/fon-2017-0092] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Gliomas are CNS neoplasms that infiltrate the surrounding brain parenchyma, complicating their treatment. Tools that increase extent of resection while preventing neurological deficit are essential to improve prognosis of patients diagnosed with gliomas. Tools such as intraoperative MRI, ultrasound and fluorescence-guided microsurgery have been used in the surgical resection of CNS gliomas with the goal of maximizing extent of resection to improve patient outcomes. In addition, emerging experimental techniques, for example, optical coherence tomography and Raman spectroscopy are promising techniques which could 1 day add to the increasing armamentarium used in the surgical resection of CNS gliomas. Here, we present the potential advantages and limitations of these imaging techniques for the purposes of identifying gliomas in the operating room.
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Affiliation(s)
| | - Carmen Kut
- Department of Biomedical Engineering, Johns Hopkins, Baltimore, MD 21205, USA
| | - Xingde Li
- Department of Biomedical Engineering, Johns Hopkins, Baltimore, MD 21205, USA
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Li P, Qian R, Niu C, Fu X. Impact of intraoperative MRI-guided resection on resection and survival in patient with gliomas: a meta-analysis. Curr Med Res Opin 2017; 33:621-630. [PMID: 28008781 DOI: 10.1080/03007995.2016.1275935] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE This study addressed the benefit of intraoperative magnetic resonance imaging (iMRI) compared with conventional neuronavigation-guided resection in patients with gliomas. RESEARCH DESIGN AND METHODS The Medline, PubMed, Cochrane, and Google Scholar databases were searched up to 26 September 2015. Randomized controlled trials (RCTs), two-arm prospective studies, and retrospective studies in patients with glioblastoma/glioma who had received surgical treatment were included. MAIN OUTCOME MEASURES The primary outcome measures were the extent of tumor resection and tumor size reduction for using iMRI-guided or conventional neuronavigation-guided neurosurgery. Secondary outcomes included impact of surgery on 6 month progression-free survival (PFS), 12 month overall survival (OS) rates and surgical duration. RESULTS We found that iMRI was associated with greater rate of gross total resection (rGTR) compared with conventional neuronavigation procedures (3.16, 95% confidence interval [CI] 2.07-4.83, P < .001). We found no difference between the two neuronavigation approaches in extent of resection (EOR), tumor size reduction, or time required for surgery (P values ≥.065). Intraoperative MRI was associated with a higher rate of progression-free survival (PFS) compared with conventional neuronavigation (odds ratio, 1.84; 95% CI 1.15-2.95; P = .012), but the rate of overall survival (OS) between groups was similar (P = .799). Limitations of the study included the fact that data from non-RCTs was used, the small study population, and heterogeneity of outcomes across studies. CONCLUSIONS Our findings indicate that iMRI more frequently resulted in more complete resections leading to improved PFS in patients with malignant gliomas.
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Affiliation(s)
- Ping Li
- a Department of Neurosurgery , Anhui Provincial Hospital Affiliated to Anhui Medical University, Anhui Province Key Laboratory of Brain Function and Brain Disease , Hefei , Anhui , P.R. China
- b Department of Neurosurgery , South branch of Anhui Provincial Hospital, Anhui Provincial Cardiovascular and Cerebrovascular Hospital , Hefei , Anhui 230001 , P.R. China
| | - Ruobing Qian
- a Department of Neurosurgery , Anhui Provincial Hospital Affiliated to Anhui Medical University, Anhui Province Key Laboratory of Brain Function and Brain Disease , Hefei , Anhui , P.R. China
| | - Chaoshi Niu
- a Department of Neurosurgery , Anhui Provincial Hospital Affiliated to Anhui Medical University, Anhui Province Key Laboratory of Brain Function and Brain Disease , Hefei , Anhui , P.R. China
| | - Xianming Fu
- a Department of Neurosurgery , Anhui Provincial Hospital Affiliated to Anhui Medical University, Anhui Province Key Laboratory of Brain Function and Brain Disease , Hefei , Anhui , P.R. China
- b Department of Neurosurgery , South branch of Anhui Provincial Hospital, Anhui Provincial Cardiovascular and Cerebrovascular Hospital , Hefei , Anhui 230001 , P.R. China
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Volumetric Analysis Using Low-Field Intraoperative Magnetic Resonance Imaging for 168 Newly Diagnosed Supratentorial Glioblastomas: Effects of Extent of Resection and Residual Tumor Volume on Survival and Recurrence. World Neurosurg 2017; 98:73-80. [DOI: 10.1016/j.wneu.2016.10.109] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 10/21/2016] [Accepted: 10/22/2016] [Indexed: 11/18/2022]
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Mesko NW, Joyce DM, Ilaslan H, Joyce MJ. Creating an Intraoperative MRI Suite for the Musculoskeletal Tumor Center. Clin Orthop Relat Res 2016; 474:1516-22. [PMID: 26183844 PMCID: PMC4868174 DOI: 10.1007/s11999-015-4412-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Accepted: 06/10/2015] [Indexed: 01/31/2023]
Abstract
BACKGROUND Altered anatomy in a previously irradiated surgical bed can make accurate localization of anatomic landmarks and local recurrence nearly impossible. The use of intraoperative MRI (iMRI) has been described in neurosurgical settings, but to our knowledge, no such description has been made regarding its utility for local recurrence localization in sarcoma surgery. CASE DESCRIPTION A 58-year-old female presented after previously undergoing two previous resection and reresection procedures of a myxoid liposarcoma located adjacent to her proximal femoral vasculature. After postoperative radiation therapy, she was referred to our institution where she underwent two additional reexcisions of local recurrences during a 3-year span, eventually undergoing a regional rotational muscle flap for coverage. Two years after her third reexcision procedure, she presented with two additional, nonpalpable surgical-bed local recurrences. After converting an MRI bed and scanner to allow for proximal thigh imaging in an iMRI surgical suite, the patient underwent a successful resection that achieved negative margins. To date, she remains without evidence of disease at 37 months. LITERATURE REVIEW Real-time iMRI in neurosurgical studies has shown a high rate of residual disease leading to immediate subsequent reexcision, thus lending to improved rates of negative margin resection. To our knowledge, this is the first example using iMRI technology to remove a recurrent soft tissue sarcoma that otherwise was clinically nonlocalizable. CLINICAL RELEVANCE The use of an iMRI surgical suite can aid with identification of soft tissue nodules in conditions such as an altered tumor bed from prior resection and radiotherapy, which otherwise make recurrences difficult to localize. A team approach between administration, surgeons, and engineers is required to design and pragmatically implement the use of an MRI-compatible table extension to enhance existing iMRI surgical suite technology for extremity sarcoma resection procedures.
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Affiliation(s)
- Nathan W. Mesko
- Department of Orthopaedic Surgery, Cleveland Clinic, 9500 Euclid Ave. Crile Building, A-41, Cleveland, OH 44195 USA
| | - David M. Joyce
- Department of Orthopaedic Surgery, Cleveland Clinic, 9500 Euclid Ave. Crile Building, A-41, Cleveland, OH 44195 USA
| | - Hakan Ilaslan
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH USA
| | - Michael J. Joyce
- Department of Orthopaedic Surgery, Cleveland Clinic, 9500 Euclid Ave. Crile Building, A-41, Cleveland, OH 44195 USA
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Has the survival of patients with glioblastoma changed over the years? Br J Cancer 2015; 114:146-50. [PMID: 26671748 PMCID: PMC4815808 DOI: 10.1038/bjc.2015.421] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2015] [Revised: 08/01/2015] [Accepted: 11/01/2015] [Indexed: 11/21/2022] Open
Abstract
Background: Over the last decade, the approach to the management of brain tumours and the understanding of glioblastoma tumour biology has advanced and a number of therapeutic interventions have evolved, some of which have shown statistically significant effects on overall survival (OS) and progression-free survival in glioblastoma. The aim of this study is to compare survival in glioblastoma patients over a 10-year period (1999–2000 and 2009–2010). Methods: A retrospective cohort study was performed. Identification of all histologically confirmed glioblastoma in a single centre in years 1999, 2000, 2009 and 2010, and production of survival analysis comparing 1999–2000 and 2009–2010 were achieved. Results: A total of 317 patients were included in the analysis (133 in year 1999–2000, and 184 in year 2009–2010). Cox regression analysis showed that the survival was significantly longer in patients in years 2009–2010 than those in 1999–2000 at P<0.001 with HR=0.56, confidence interval (CI) (0.45–0.71). The 1- and 3-year survival rates were 20.7% and 4.4%, respectively, for patients in 1999–2000, improving to 40.0% and 10.3%, respectively, for patients in 2009–2010. The comparisons between the two groups in survival at 1, 2 and 3 years are all statistically significant at P<0.001, respectively. The median OS was 0.36 and 0.74 in 1999–2000 and 2009–2010 groups, respectively. Conclusions: Over this period, OS from glioblastoma has increased significantly in our unit. We believe this is due to the institution of evidence-based surgical and oncological strategies practised in a multidisciplinary setting.
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Perspectives in Intraoperative Diagnostics of Human Gliomas. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2015; 2015:479014. [PMID: 26543495 PMCID: PMC4620377 DOI: 10.1155/2015/479014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2015] [Accepted: 06/25/2015] [Indexed: 12/31/2022]
Abstract
Amongst large a variety of oncological diseases, malignant gliomas represent one of the most severe types of tumors. They are also the most common type of the brain tumors and account for over half of the astrocytic tumors. According to different sources, the average life expectancy of patients with various glioblastomas varies between 10 and 12 months and that of patients with anaplastic astrocytic tumors between 20 and 24 months. Therefore, studies of the physiology of transformed glial cells are critical for the development of treatment methods. Modern medical approaches offer complex procedures, including the microsurgical tumor removal, radiotherapy, and chemotherapy, supplemented with photodynamic therapy and immunotherapy. The most radical of them is surgical resection, which allows removing the largest part of the tumor, reduces the intracranial hypertension, and minimizes the degree of neurological deficit. However, complete removal of the tumor remains impossible. The main limitations are insufficient visualization of glioma boundaries, due to its infiltrative growth, and the necessity to preserve healthy tissue. This review is devoted to the description of advantages and disadvantages of modern intraoperative diagnostics of human gliomas and highlights potential perspectives for development of their treatment.
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Moiyadi AV. Intraoperative assistive technologies—the way ahead. Neurosurg Rev 2015; 38:593-4. [DOI: 10.1007/s10143-015-0631-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 01/28/2015] [Indexed: 10/23/2022]
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Witiw CD, Nathan V, Bernstein M. Economics, Innovation, and Quality Improvement in Neurosurgery. Neurosurg Clin N Am 2015; 26:197-205, viii. [DOI: 10.1016/j.nec.2014.11.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Osorio JA, Aghi MK. Optimizing glioblastoma resection: intraoperative mapping and beyond. CNS Oncol 2014; 3:359-66. [PMID: 25363008 DOI: 10.2217/cns.14.36] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The management of glioblastomas starts with surgical resection if possible, along with subsequent chemotherapy and radiation therapy. Several retrospective studies have suggested that extent of resection plays a role in the prognosis of glioblastoma patients. The importance of extent of resection must be balanced with preserving patient's functional status for tumors in eloquent areas. Here we review the preoperative imaging modalities such as functional MRI and magnetoencephalography (MEG), and the intraoperative techniques such as motor and language mapping, intraoperative MRI, and intraoperative techniques such as 5-aminolevulinic acid administration, that allow maximal safe operative resection of glioblastomas.
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Affiliation(s)
- Joseph A Osorio
- Department of Neurological Surgery, University of California, 505 Parnassus Avenue, Room M779, San Francisco, CA 94143-0112, USA
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