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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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Behboodi B, Carton FX, Chabanas M, de Ribaupierre S, Solheim O, Munkvold BKR, Rivaz H, Xiao Y, Reinertsen I. Open access segmentations of intraoperative brain tumor ultrasound images. Med Phys 2024. [PMID: 39047165 DOI: 10.1002/mp.17317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 04/04/2024] [Accepted: 06/04/2024] [Indexed: 07/27/2024] Open
Abstract
PURPOSE Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images could play an essential role in surgical planning and resectioning brain tumors. However, validating these techniques is challenging due to the scarcity of publicly accessible sources with high-quality ground truth information. To this end, we propose a unique set of segmentations (RESECT-SEG) of cerebral structures from the previously published RESECT dataset to encourage a more rigorous development and assessment of image-processing techniques for neurosurgery. ACQUISITION AND VALIDATION METHODS The RESECT database consists of MR and intraoperative US (iUS) images of 23 patients who underwent brain tumor resection surgeries. The proposed RESECT-SEG dataset contains segmentations of tumor tissues, sulci, falx cerebri, and resection cavity of the RESECT iUS images. Two highly experienced neurosurgeons validated the quality of the segmentations. DATA FORMAT AND USAGE NOTES Segmentations are provided in 3D NIFTI format in the OSF open-science platform: https://osf.io/jv8bk. POTENTIAL APPLICATIONS The proposed RESECT-SEG dataset includes segmentations of real-world clinical US brain images that could be used to develop and evaluate segmentation and registration methods. Eventually, this dataset could further improve the quality of image guidance in neurosurgery.
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Affiliation(s)
- Bahareh Behboodi
- Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada
- School of Health, Concordia University, Montreal, Canada
| | | | - Matthieu Chabanas
- Université Grenoble Alpes, CNRS, Grenoble INP, TIMC, Grenoble, France
| | - Sandrine de Ribaupierre
- Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Bodil K R Munkvold
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Hassan Rivaz
- Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada
- School of Health, Concordia University, Montreal, Canada
| | - Yiming Xiao
- School of Health, Concordia University, Montreal, Canada
- Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada
| | - Ingerid Reinertsen
- Department of Health Research, SINTEF Digital, Trondheim, Norway
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Lakhani DA, Sabsevitz DS, Chaichana KL, Quiñones-Hinojosa A, Middlebrooks EH. Current State of Functional MRI in the Presurgical Planning of Brain Tumors. Radiol Imaging Cancer 2023; 5:e230078. [PMID: 37861422 DOI: 10.1148/rycan.230078] [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] [Indexed: 10/21/2023]
Abstract
Surgical resection of brain tumors is challenging because of the delicate balance between maximizing tumor removal and preserving vital brain functions. Functional MRI (fMRI) offers noninvasive preoperative mapping of widely distributed brain areas and is increasingly used in presurgical functional mapping. However, its impact on survival and functional outcomes is still not well-supported by evidence. Task-based fMRI (tb-fMRI) maps blood oxygen level-dependent (BOLD) signal changes during specific tasks, while resting-state fMRI (rs-fMRI) examines spontaneous brain activity. rs-fMRI may be useful for patients who cannot perform tasks, but its reliability is affected by tumor-induced changes, challenges in data processing, and noise. Validation studies comparing fMRI with direct cortical stimulation (DCS) show variable concordance, particularly for cognitive functions such as language; however, concordance for tb-fMRI is generally greater than that for rs-fMRI. Preoperative fMRI, in combination with MRI tractography and intraoperative DCS, may result in improved survival and extent of resection and reduced functional deficits. fMRI has the potential to guide surgical planning and help identify targets for intraoperative mapping, but there is currently limited prospective evidence of its impact on patient outcomes. This review describes the current state of fMRI for preoperative assessment in patients undergoing brain tumor resection. Keywords: MR-Functional Imaging, CNS, Brain/Brain Stem, Anatomy, Oncology, Functional MRI, Functional Anatomy, Task-based, Resting State, Surgical Planning, Brain Tumor © RSNA, 2023.
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Affiliation(s)
- Dhairya A Lakhani
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - David S Sabsevitz
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Kaisorn L Chaichana
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Alfredo Quiñones-Hinojosa
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
| | - Erik H Middlebrooks
- From the Department of Radiology, West Virginia University, Morgantown, WV (D.A.L.); and Departments of Psychiatry and Psychology (D.S.S.), Neurosurgery (K.L.C., A.Q.H., E.H.M.), and Radiology (E.H.M.), Mayo Clinic Florida, 4500 San Pablo Rd, Jacksonville, FL 32224
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Gamboa NT, Crabb B, Henson JC, Cole KL, Weaver BD, Karsy M, Jensen RL. High-grade glioma imaging volumes and survival: a single-institution analysis of 101 patients after resection using intraoperative MRI. J Neurooncol 2022; 160:555-565. [DOI: 10.1007/s11060-022-04159-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/05/2022] [Indexed: 11/19/2022]
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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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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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Naik A, Smith EJ, Barreau A, Nyaeme M, Cramer SW, Najafali D, Krist DT, Arnold PM, Hassaneen W. Comparison of fluorescein sodium, 5-ALA, and intraoperative MRI for resection of high-grade gliomas: A systematic review and network meta-analysis. J Clin Neurosci 2022; 98:240-247. [PMID: 35219089 DOI: 10.1016/j.jocn.2022.02.028] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/08/2022] [Accepted: 02/17/2022] [Indexed: 12/31/2022]
Abstract
High grade gliomas (HGGs) are aggressive brain tumors associated with poor prognosis despite advances in surgical treatment and therapy. Navigated tumor resection has yielded improved outcomes for patients. We compare 5-ALA, fluorescein sodium (FS), and intraoperative MRI (IMRI) with no image guidance to determine the best intraoperative navigation method to maximize rates of gross total resection (GTR) and outcomes. A frequentist network meta-analysis was performed following standard PRISMA guidelines (PROSPERO registration CRD42021268659). Surface-under-the-cumulative ranking (SUCRA) analysis was executed to hierarchically rank modalities by the outcomes of interest. Heterogeneity was measured by the I2 statistic. Publication bias was assessed by funnel plots and the use of Egger's test. Statistical significance was determined by p < 0.05. Twenty-three studies were included for analysis with a total of 2,643 patients. Network meta-analysis comparing 5-ALA, IMRI, and FS was performed. The primary outcome assessed was the rate of GTR. Analysis revealed the superiority of all intraoperative navigation to control (no navigation). SUCRA analysis revealed the superiority of IMRI + 5-ALA, IMRI alone, followed by FS, and 5-ALA. Overall survival (OS) and progression free survival (PFS) were also examined. FS (vs. control) was associated with improved OS, while IMRI was associated with improved PFS (vs. control, FS, and 5-ALA). Intraoperative navigation using IMRI, FS, and 5-ALA lead to greater rates of GTR in HGGs. FS and 5-ALA also yielded improvement in OS and PFS. Further studies are needed to evaluate differences in survival benefit, operative duration, and cost.
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Affiliation(s)
- Anant Naik
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States
| | - Emily J Smith
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States
| | - Ariana Barreau
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States
| | - Mark Nyaeme
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States
| | - Samuel W Cramer
- Department of Neurosurgery, University of Minnesota Twin-Cities, Minneapolis MN, 55455, United States
| | - Daniel Najafali
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States
| | - David T Krist
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States
| | - Paul M Arnold
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States; Department of Neurosurgery, Carle Foundation Hospital, Urbana IL 61801, United States
| | - Wael Hassaneen
- Carle Illinois College of Medicine, University of Illinois Urbana Champaign, Champaign, IL 61820, United States; Department of Neurosurgery, Carle Foundation Hospital, Urbana IL 61801, United States.
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Gosal JS, Tiwari S, Sharma T, Agrawal M, Garg M, Mahal S, Bhaskar S, Sharma RK, Janu V, Jha DK. Simulation of surgery for supratentorial gliomas in virtual reality using a 3D volume rendering technique: a poor man's neuronavigation. Neurosurg Focus 2021; 51:E23. [PMID: 34333461 DOI: 10.3171/2021.5.focus21236] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 05/18/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Different techniques of performing image-guided neurosurgery exist, namely, neuronavigation systems, intraoperative ultrasound, and intraoperative MRI, each with its limitations. Except for ultrasound, other methods are expensive. Three-dimensional virtual reconstruction and surgical simulation using 3D volume rendering (VR) is an economical and excellent technique for preoperative surgical planning and image-guided neurosurgery. In this article, the authors discuss several nuances of the 3D VR technique that have not yet been described. METHODS The authors included 6 patients with supratentorial gliomas who underwent surgery between January 2019 and March 2021. Preoperative clinical data, including patient demographics, preoperative planning details (done using the VR technique), and intraoperative details, including relevant photos and videos, were collected. RadiAnt software was used for generating virtual 3D images using the VR technique on a computer running Microsoft Windows. RESULTS The 3D VR technique assists in glioma surgery with a preoperative simulation of the skin incision and craniotomy, virtual cortical surface marking and navigation for deep-seated gliomas, preoperative visualization of morbid cortical surface and venous anatomy in surfacing gliomas, identifying the intervenous surgical corridor in both surfacing and deep-seated gliomas, and pre- and postoperative virtual 3D images highlighting the exact spatial geometric residual tumor location and extent of resection for low-grade gliomas (LGGs). CONCLUSIONS Image-guided neurosurgery with the 3D VR technique using RadiAnt software is an economical, easy-to-learn, and user-friendly method of simulating glioma surgery, especially in resource-constrained countries where expensive neuronavigation systems are not readily available. Apart from cortical sulci/gyri anatomy, FLAIR sequences are ideal for the 3D visualization of nonenhancing diffuse LGGs using the VR technique. In addition to cortical vessels (especially veins), contrast MRI sequences are perfect for the 3D visualization of contrast-enhancing high-grade gliomas.
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Affiliation(s)
| | - Sarbesh Tiwari
- 2Diagnostic & Interventional Radiology, All India Institute of Medical Sciences (AIIMS), Jodhpur, Rajasthan, India
| | | | | | | | - Sayani Mahal
- 2Diagnostic & Interventional Radiology, All India Institute of Medical Sciences (AIIMS), Jodhpur, Rajasthan, India
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Luna LP, Sherbaf FG, Sair HI, Mukherjee D, Oliveira IB, Köhler CA. Can Preoperative Mapping with Functional MRI Reduce Morbidity in Brain Tumor Resection? A Systematic Review and Meta-Analysis of 68 Observational Studies. Radiology 2021; 300:338-349. [PMID: 34060940 DOI: 10.1148/radiol.2021204723] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Background Preoperative functional MRI (fMRI) is one of several techniques developed to localize critical brain structures and brain tumors. However, the usefulness of fMRI for preoperative surgical planning and its potential effect on neurologic outcomes remain unclear. Purpose To assess the overall postoperative morbidity among patients with brain tumors by using preoperative fMRI versus surgery without this tool or with use of standard (nonfunctional) neuronavigation. Materials and Methods A systematic review and meta-analysis of studies across major databases from 1946 to June 20, 2020, were conducted. Inclusion criteria were original studies that (a) included patients with brain tumors, (b) performed preoperative neuroimaging workup with fMRI, (c) investigated the usefulness of a preoperative or intraoperative functional neuroimaging technique and used that technique to resect cerebral tumors, and (d) reported postoperative clinical measures. Pooled estimates for adverse event rate (ER) effect size (log ER, log odds ratio, or Hedges g) with 95% CIs were computed by using a random-effects model. Results Sixty-eight studies met eligibility criteria (3280 participants; 58.9% men [1555 of 2641]; mean age, 46 years ± 8 [standard deviation]). Functional deterioration after surgical procedure was less likely to occur when fMRI mapping was performed before the operation (odds ratio, 0.25; 95% CI: 0.12, 0.53; P < .001]), and postsurgical Karnofsky performance status scores were higher in patients who underwent fMRI mapping (Hedges g, 0.66; 95% CI: 0.21, 1.11; P = .004]). Craniotomies for tumor resection performed with preoperative fMRI were associated with a pooled adverse ER of 11% (95% CI: 8.4, 13.1), compared with a 21.0% ER (95% CI: 12.2, 33.5) in patients who did not undergo fMRI mapping. Conclusion From the currently available data, the benefit of preoperative functional MRI planning for the resection of brain tumors appears to reduce postsurgical morbidity, especially when used with other advanced imaging techniques, such as diffusion-tensor imaging, intraoperative MRI, or cortical stimulation. © RSNA, 2021 Online supplemental material is available for this article.
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Affiliation(s)
- Licia P Luna
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe St, Phipps B100F, Baltimore, MD 21287 (L.P.L., F.G.S., H.I.S.); Department of Neurosurgery, Johns Hopkins University, Baltimore, Md (D.M.); Department of Radiology, Hospital Geral de Fortaleza, Fortaleza, Brazil (I.B.O.); and Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil (C.A.K.)
| | - Farzaneh Ghazi Sherbaf
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe St, Phipps B100F, Baltimore, MD 21287 (L.P.L., F.G.S., H.I.S.); Department of Neurosurgery, Johns Hopkins University, Baltimore, Md (D.M.); Department of Radiology, Hospital Geral de Fortaleza, Fortaleza, Brazil (I.B.O.); and Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil (C.A.K.)
| | - Haris I Sair
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe St, Phipps B100F, Baltimore, MD 21287 (L.P.L., F.G.S., H.I.S.); Department of Neurosurgery, Johns Hopkins University, Baltimore, Md (D.M.); Department of Radiology, Hospital Geral de Fortaleza, Fortaleza, Brazil (I.B.O.); and Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil (C.A.K.)
| | - Debraj Mukherjee
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe St, Phipps B100F, Baltimore, MD 21287 (L.P.L., F.G.S., H.I.S.); Department of Neurosurgery, Johns Hopkins University, Baltimore, Md (D.M.); Department of Radiology, Hospital Geral de Fortaleza, Fortaleza, Brazil (I.B.O.); and Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil (C.A.K.)
| | - Isabella Bezerra Oliveira
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe St, Phipps B100F, Baltimore, MD 21287 (L.P.L., F.G.S., H.I.S.); Department of Neurosurgery, Johns Hopkins University, Baltimore, Md (D.M.); Department of Radiology, Hospital Geral de Fortaleza, Fortaleza, Brazil (I.B.O.); and Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil (C.A.K.)
| | - Cristiano André Köhler
- From the Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe St, Phipps B100F, Baltimore, MD 21287 (L.P.L., F.G.S., H.I.S.); Department of Neurosurgery, Johns Hopkins University, Baltimore, Md (D.M.); Department of Radiology, Hospital Geral de Fortaleza, Fortaleza, Brazil (I.B.O.); and Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil (C.A.K.)
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Bastos DCDA, Juvekar P, Tie Y, Jowkar N, Pieper S, Wells WM, Bi WL, Golby A, Frisken S, Kapur T. Challenges and Opportunities of Intraoperative 3D Ultrasound With Neuronavigation in Relation to Intraoperative MRI. Front Oncol 2021; 11:656519. [PMID: 34026631 PMCID: PMC8139191 DOI: 10.3389/fonc.2021.656519] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 04/09/2021] [Indexed: 11/15/2022] Open
Abstract
Introduction Neuronavigation greatly improves the surgeons ability to approach, assess and operate on brain tumors, but tends to lose its accuracy as the surgery progresses and substantial brain shift and deformation occurs. Intraoperative MRI (iMRI) can partially address this problem but is resource intensive and workflow disruptive. Intraoperative ultrasound (iUS) provides real-time information that can be used to update neuronavigation and provide real-time information regarding the resection progress. We describe the intraoperative use of 3D iUS in relation to iMRI, and discuss the challenges and opportunities in its use in neurosurgical practice. Methods We performed a retrospective evaluation of patients who underwent image-guided brain tumor resection in which both 3D iUS and iMRI were used. The study was conducted between June 2020 and December 2020 when an extension of a commercially available navigation software was introduced in our practice enabling 3D iUS volumes to be reconstructed from tracked 2D iUS images. For each patient, three or more 3D iUS images were acquired during the procedure, and one iMRI was acquired towards the end. The iUS images included an extradural ultrasound sweep acquired before dural incision (iUS-1), a post-dural opening iUS (iUS-2), and a third iUS acquired immediately before the iMRI acquisition (iUS-3). iUS-1 and preoperative MRI were compared to evaluate the ability of iUS to visualize tumor boundaries and critical anatomic landmarks; iUS-3 and iMRI were compared to evaluate the ability of iUS for predicting residual tumor. Results Twenty-three patients were included in this study. Fifteen patients had tumors located in eloquent or near eloquent brain regions, the majority of patients had low grade gliomas (11), gross total resection was achieved in 12 patients, postoperative temporary deficits were observed in five patients. In twenty-two iUS was able to define tumor location, tumor margins, and was able to indicate relevant landmarks for orientation and guidance. In sixteen cases, white matter fiber tracts computed from preoperative dMRI were overlaid on the iUS images. In nineteen patients, the EOR (GTR or STR) was predicted by iUS and confirmed by iMRI. The remaining four patients where iUS was not able to evaluate the presence or absence of residual tumor were recurrent cases with a previous surgical cavity that hindered good contact between the US probe and the brainsurface. Conclusion This recent experience at our institution illustrates the practical benefits, challenges, and opportunities of 3D iUS in relation to iMRI.
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Affiliation(s)
| | - Parikshit Juvekar
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Yanmei Tie
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Nick Jowkar
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Steve Pieper
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Willam M Wells
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Alexandra Golby
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Sarah Frisken
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
| | - Tina Kapur
- Department of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States
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Sefcikova V, Christofi G, Samandouras G. Commentary: Post-Acute Cognitive Rehabilitation for Adult Brain Tumor Patients. Neurosurgery 2021; 89:E295-E297. [PMID: 33763696 DOI: 10.1093/neuros/nyab064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 01/14/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Viktoria Sefcikova
- UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Gerry Christofi
- The National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - George Samandouras
- UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.,The National Hospital for Neurology and Neurosurgery, London, United Kingdom
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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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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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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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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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Metwali H, Ibrahim T, Raemaekers M. Changes in Intranetwork Functional Connectivity of Resting State Networks Between Sessions Under Anesthesia in Neurosurgical Patients. World Neurosurg 2020; 146:e351-e358. [PMID: 33228955 DOI: 10.1016/j.wneu.2020.10.102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 10/18/2020] [Accepted: 10/19/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND In this study, we evaluated the changes in resting-state networks (RSNs) under anesthesia in neurosurgical patients. METHODS RSNs were analyzed in 12 patients with pituitary adenoma presented by chiasma compression operated via standard transsphenoidal approach under propofol anesthesia before and after tumor resection. All the patients had suprasellar tumor extension with compression of the optic chiasma. We investigated second-level effects by contrasting dummy-encoded covariates representing the effects of the sessions (first vs. second) on RSNs. We corrected for multiple comparisons using a false discovery rate of 0.05 (2-sided). RESULTS Connectivity between the right and left precentral gyri (motor network) decreased significantly from the first to the second session (P = 0.0002), as did the connectivity between the postcentral gyri (P = 0.009). The same was valid for connectivity between the visual cortices (P = 0.0002). The salience network showed a significant decrease in the connectivity of the anterior part of the cingulate gyrus and insular cortex (P = 0.0001). The default mode network showed a decrease in the connectivity between the posterior part of the cingulate gyrus, parietal, and frontal cortices (P = 0.0002). There was no significant correlation between the reduction in connectivity and dose or duration of anesthesia. CONCLUSIONS Different RSNs could be identified under anesthesia and used for intraoperative brain mapping and remapping during tumor resection. However, RSNs showed a significant decrease in connectivity with the continuation of anesthesia.
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Affiliation(s)
| | | | - Mathijs Raemaekers
- Brain Center Rudolf Magnus, University Medical Center, Utrecht, The Netherlands
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Assessment of the Extent of Resection in Surgery of High-Grade Glioma-Evaluation of Black Blood Sequences for Intraoperative Magnetic Resonance Imaging at 3 Tesla. Cancers (Basel) 2020; 12:cancers12061580. [PMID: 32549304 PMCID: PMC7352835 DOI: 10.3390/cancers12061580] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/05/2020] [Accepted: 06/10/2020] [Indexed: 01/17/2023] Open
Abstract
Achieving an optimal extent of resection (EOR) whilst keeping lasting neurological decline to a minimum is paramount for modern neurosurgery in patients with high-grade glioma (HGG). To improve EOR assessment, this study introduces Black Blood (BB) imaging, which uses a selective saturation pulse to suppress the blood signal, to 3-Tesla intraoperative magnetic resonance imaging (iMRI). Seventy-three patients (56.4 ± 13.9 years, 64.4% male) with contrast-enhancing HGGs underwent iMRI, including contrast-enhanced (CE) and non-CE 3D turbo field-echo imaging (TFE; acquisition time: 4:20 min per sequence) and CE and non-CE 3D BB imaging (acquisition time: 1:36 min per sequence). Two readers (R1 and R2) retrospectively evaluated the EOR and diagnostic confidence (1—very inconfident to 5—very confident) as well as the delineation of tumor boarders and spread of contrast-enhancing tumor components (in case of contrast-enhancing tumor residuals). Furthermore, the contrast-to-noise ratio (CNR) was measured for contrast-enhancing tumor residuals. Both BB and conventional TFE imaging allowed for the correct detection of all contrast-enhancing tumor residuals intraoperatively (considering postsurgical MRI and histopathological evaluation as the ground truth for determination of the lack/presence of contrast-enhancing tumor residuals), but BB imaging showed significantly higher diagnostic confidence (R1: 4.65 ± 0.53 vs. 3.88 ± 1.02, p < 0.0001; R2: 4.75 ± 0.50 vs. 4.25 ± 0.81, p < 0.0001). Delineation of contrast-enhancing tumor residuals and detection of their spread into adjacent brain parenchyma was better for BB imaging. Accordingly, significantly higher CNRs were noted for BB imaging (48.1 ± 32.1 vs. 24.4 ± 15.3, p < 0.0001). In conclusion, BB imaging is not inferior to conventional TFE imaging for EOR assessment, but may significantly reduce scanning time for iMRI whilst increasing diagnostic confidence. Furthermore, given the better depiction of contrast-enhancing tumor residual spread and borders, BB imaging could support achieving complete macroscopic resection in patients suffering from HGG, which is clinically relevant as an optimal EOR is correlated to prolonged survival.
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Caras A, Mugge L, Miller WK, Mansour TR, Schroeder J, Medhkour A. Usefulness and Impact of Intraoperative Imaging for Glioma Resection on Patient Outcome and Extent of Resection: A Systematic Review and Meta-Analysis. World Neurosurg 2020; 134:98-110. [DOI: 10.1016/j.wneu.2019.10.072] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 10/10/2019] [Accepted: 10/11/2019] [Indexed: 10/25/2022]
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Metwali H, Raemaekers M, Kniese K, Samii A. Intraoperative Resting-State Functional Connectivity and Resting-State Networks in Patients with Intracerebral Lesions: Detectability and Variations Between Sessions. World Neurosurg 2020; 133:e197-e204. [DOI: 10.1016/j.wneu.2019.08.188] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 08/23/2019] [Accepted: 08/24/2019] [Indexed: 01/04/2023]
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Intraoperative Image-Guided Navigation in Craniofacial Surgery: Review and Grading of the Current Literature. J Craniofac Surg 2019; 30:465-472. [PMID: 30640846 DOI: 10.1097/scs.0000000000005130] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Image-guided navigation has existed for nearly 3 decades, but its adoption to craniofacial surgery has been slow. A systematic review of the literature was performed to assess the current status of navigation in craniofacial surgery. METHODS A Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) systematic review of the Medline and Web of Science databases was performed using a series of search terms related to Image-Guided Navigation and Craniofacial Surgery. Titles were then filtered for relevance and abstracts were reviewed for content. Single case reports were excluded as were animal, cadaver, and virtual data. Studies were categorized based on the type of study performed and graded using the Jadad scale and the Newcastle-Ottawa scales, when appropriate. RESULTS A total of 2030 titles were returned by our search criteria. Of these, 518 abstracts were reviewed, 208 full papers were evaluated, and 104 manuscripts were ultimately included in the study. A single randomized controlled trial was identified (Jadad score 3), and 12 studies were identified as being case control or case cohort studies (Average Newcastle-Ottawa score 6.8) The most common application of intraoperative surgical navigation cited was orbital surgery (n = 36), followed by maxillary surgery (n = 19). Higher quality studies more commonly pertained to the orbit (6/13), and consistently show improved results. CONCLUSION Image guided surgical navigation improves outcomes in orbital reconstruction. Although image guided navigation has promise in many aspects of craniofacial surgery, current literature is lacking and future studies addressing this paucity of data are needed before universal adoption can be recommended.
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Abraham P, Sarkar R, Brandel MG, Wali AR, Rennert RC, Lopez Ramos C, Padwal J, Steinberg JA, Santiago-Dieppa DR, Cheung V, Pannell JS, Murphy JD, Khalessi AA. Cost-effectiveness of Intraoperative MRI for Treatment of High-Grade Gliomas. Radiology 2019; 291:689-697. [PMID: 30912721 PMCID: PMC6543900 DOI: 10.1148/radiol.2019182095] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 01/04/2019] [Accepted: 02/04/2019] [Indexed: 01/19/2023]
Abstract
Background Intraoperative MRI has been shown to improve gross-total resection of high-grade glioma. However, to the knowledge of the authors, the cost-effectiveness of intraoperative MRI has not been established. Purpose To construct a clinical decision analysis model for assessing intraoperative MRI in the treatment of high-grade glioma. Materials and Methods An integrated five-state microsimulation model was constructed to follow patients with high-grade glioma. One-hundred-thousand patients treated with intraoperative MRI were compared with 100 000 patients who were treated without intraoperative MRI from initial resection and debulking until death (median age at initial resection, 55 years). After the operation and treatment of complications, patients existed in one of three health states: progression-free survival (PFS), progressive disease, or dead. Patients with recurrence were offered up to two repeated resections. PFS, valuation of health states (utility values), probabilities, and costs were obtained from randomized controlled trials whenever possible. Otherwise, national databases, registries, and nonrandomized trials were used. Uncertainty in model inputs was assessed by using deterministic and probabilistic sensitivity analyses. A health care perspective was used for this analysis. A willingness-to-pay threshold of $100 000 per quality-adjusted life year (QALY) gained was used to determine cost efficacy. Results Intraoperative MRI yielded an incremental benefit of 0.18 QALYs (1.34 QALYs with intraoperative MRI vs 1.16 QALYs without) at an incremental cost of $13 447 ($176 460 with intraoperative MRI vs $163 013 without) in microsimulation modeling, resulting in an incremental cost-effectiveness ratio of $76 442 per QALY. Because of parameter distributions, probabilistic sensitivity analysis demonstrated that intraoperative MRI had a 99.5% chance of cost-effectiveness at a willingness-to-pay threshold of $100 000 per QALY. Conclusion Intraoperative MRI is likely to be a cost-effective modality in the treatment of high-grade glioma. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Bettmann in this issue.
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Affiliation(s)
- Peter Abraham
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Reith Sarkar
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Michael G. Brandel
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Arvin R. Wali
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Robert C. Rennert
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Christian Lopez Ramos
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Jennifer Padwal
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Jeffrey A. Steinberg
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - David R. Santiago-Dieppa
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Vincent Cheung
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - J. Scott Pannell
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - James D. Murphy
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
| | - Alexander A. Khalessi
- From the School of Medicine (P.A., R.S., M.G.B., C.L.R., J.P.),
Department of Neurosurgery (A.R.W., R.C.R., J.A.S., D.R.S.D., V.C., J.S.P.,
A.A.K.), and Department of Radiation Oncology (J.D.M.), University of
California–San Diego, 9300 Campus Point Dr, Mail Code 7893, La Jolla, CA
92037
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Metwali H, Raemaekers M, Kniese K, Samii A. Resting-State Functional Connectivity in Neurosurgical Patients Under Propofol Anesthesia: Detectability and Variability Between Patients and Between Sessions. World Neurosurg 2019; 125:e1160-e1169. [DOI: 10.1016/j.wneu.2019.01.266] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Revised: 01/26/2019] [Accepted: 01/28/2019] [Indexed: 01/03/2023]
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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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25
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Capellades J, Puig J, Domenech S, Pujol T, Oleaga L, Camins A, Majós C, Diaz R, de Quintana C, Teixidor P, Conesa G, Plans G, Gonzalez J, García-Balañà N, Velarde JM, Balaña C. Is a pretreatment radiological staging system feasible for suggesting the optimal extent of resection and predicting prognosis in glioblastoma? An observational study. J Neurooncol 2017; 137:367-377. [DOI: 10.1007/s11060-017-2726-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 12/21/2017] [Indexed: 10/18/2022]
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26
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Zhang JS, Qu L, Wang Q, Jin W, Hou YZ, Sun GC, Li FY, Yu XG, Xu BN, Chen XL. Intraoperative visualisation of functional structures facilitates safe frameless stereotactic biopsy in the motor eloquent regions of the brain. Br J Neurosurg 2017; 32:372-380. [PMID: 29260585 DOI: 10.1080/02688697.2017.1416059] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND For stereotactic brain biopsy involving motor eloquent regions, the surgical objective is to enhance diagnostic yield and preserve neurological function. To achieve this aim, we implemented functional neuro-navigation and intraoperative magnetic resonance imaging (iMRI) into the biopsy procedure. The impact of this integrated technique on the surgical outcome and postoperative neurological function was investigated and evaluated. METHOD Thirty nine patients with lesions involving motor eloquent structures underwent frameless stereotactic biopsy assisted by functional neuro-navigation and iMRI. Intraoperative visualisation was realised by integrating anatomical and functional information into a navigation framework to improve biopsy trajectories and preserve eloquent structures. iMRI was conducted to guarantee the biopsy accuracy and detect intraoperative complications. The perioperative change of motor function and biopsy error before and after iMRI were recorded, and the role of functional information in trajectory selection and the relationship between the distance from sampling site to nearby eloquent structures and the neurological deterioration were further analyzed. RESULTS Functional neuro-navigation helped modify the original trajectories and sampling sites in 35.90% (16/39) of cases to avoid the damage of eloquent structures. Even though all the lesions were high-risk of causing neurological deficits, no significant difference was found between preoperative and postoperative muscle strength. After data analysis, 3mm was supposed to be the safe distance for avoiding transient neurological deterioration. During surgery, the use of iMRI significantly reduced the biopsy errors (p = 0.042) and potentially increased the diagnostic yield from 84.62% (33/39) to 94.87% (37/39). Moreover, iMRI detected intraoperative haemorrhage in 5.13% (2/39) of patients, all of them benefited from the intraoperative strategies based on iMRI findings. CONCLUSIONS Intraoperative visualisation of functional structures could be a feasible, safe and effective technique. Combined with intraoperative high-field MRI, it contributed to enhance the biopsy accuracy and lower neurological complications in stereotactic brain biopsy involving motor eloquent areas.
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Affiliation(s)
- Jia-Shu Zhang
- a Department of Neurosurgery , General Hospital , Beijing , China
| | - Ling Qu
- b Neurosurgery Department of Chinese PLA General Hospital , Beijing , China
| | - Qun Wang
- a Department of Neurosurgery , General Hospital , Beijing , China
| | - Wei Jin
- c Pathology Department of Chinese PLA General Hospital , Beijing , China
| | - Yuan-Zheng Hou
- a Department of Neurosurgery , General Hospital , Beijing , China
| | - Guo-Chen Sun
- a Department of Neurosurgery , General Hospital , Beijing , China
| | - Fang-Ye Li
- a Department of Neurosurgery , General Hospital , Beijing , China
| | - Xin-Guang Yu
- a Department of Neurosurgery , General Hospital , Beijing , China
| | - Ban-Nan Xu
- a Department of Neurosurgery , General Hospital , Beijing , China
| | - Xiao-Lei Chen
- a Department of Neurosurgery , General Hospital , Beijing , China
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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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Abstract
As endoscopic sinus surgery (ESS) has evolved since its introduction to the United States, so has technology for imaging the sinonasal cavities. Although imaging is most frequently performed for evaluating chronic sinusitis refractory to medical therapy, its uses have expanded beyond inflammatory sinus disease. Multidetector Computed Tomography is the current workhorse for both diagnosis and preoperative planning in prospective ESS patients, while MR imaging remains a complementary tool for evaluating suspected tumors or intracranial and orbital complications of rhinosinusitis. In this article, the authors review current trends and potential future directions in the use of these modalities for sinus imaging.
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Affiliation(s)
- Benjamin Y Huang
- Department of Radiology, University of North Carolina, CB# 7510, 101 Manning Drive, Chapel Hill, NC 27599, USA.
| | - Brent A Senior
- Department of Otolaryngology-Head and Neck Surgery, University of North Carolina, CB# 7070, 170 Manning Drive, Chapel Hill, NC 27599, USA
| | - Mauricio Castillo
- Department of Radiology, University of North Carolina, CB# 7510, 101 Manning Drive, Chapel Hill, NC 27599, USA
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Zhang H, Ma L, Wang Q, Zheng X, Xue Z, Chen XL, Yu XG, Wu C, Xu BN, Sun ZH. Intraoperative high-field MRI maximizes the extent of resection in intraventricular central neurocytoma surgery. J Clin Neurosci 2016; 28:47-54. [DOI: 10.1016/j.jocn.2015.08.045] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2015] [Revised: 08/21/2015] [Accepted: 08/25/2015] [Indexed: 10/22/2022]
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Valencia Calderón C, Castro Cevallos A, Calderón Valdiviezo A, Escobar Dávila R, Parra Rosales F, Quispe Alcocer J, Vásquez Hahn C. [Neuronavigation in the surgical planning of callosotomy]. Neurocirugia (Astur) 2015; 27:186-93. [PMID: 26260206 DOI: 10.1016/j.neucir.2015.06.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Revised: 05/30/2015] [Accepted: 06/08/2015] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To describe the usefulness of 3D computer-assisted preoperative neuronavigation for stereoscopic location of the venous sinuses, arterial branches, and corpus callosum, to extrapolate anatomical landmarks on the surgical field and make decisions before the intervention. METHODS A prospective analysis was performed on patients with refractory epilepsy who underwent neuronavigation-assisted callosotomy (BRAIN LAB Dual). RESULTS A total of 10 neuronavigation-assisted callosotomies were performed in the year 2014. The ages of the patients (4 males and 6 females) were between 4 and 13 years (mean 7; SD 3.02). The most common indication for callosotomy in our sample was Lennox Gastoux (5 patients). A right parasagittal craniotomy was performed in 8 patients. An anterior two-thirds callosotomy was performed in 8 patients and anterior three-quarters in 2 patients. The mean accuracy of the neuronavigation procedure was less than 2mm. In no cases were there significant intraoperative surgical complications. CONCLUSION Callosotomy using frameless guided neuronavigation is an accurate and safe technique in patients with epilepsy refractory to surgical resection.
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Feasibility and evaluation of dual-source transmit 3D imaging of the orbits: Comparison to high-resolution conventional MRI at 3T. Eur J Radiol 2015; 84:1150-8. [DOI: 10.1016/j.ejrad.2015.03.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Revised: 03/01/2015] [Accepted: 03/09/2015] [Indexed: 12/23/2022]
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