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Lewis D, Li KL, Djoukhadar I, Hannan CJ, Pathmanaban ON, Coope DJ, King AT. Emerging strategies for the prediction of behaviour, growth, and treatment response in vestibular schwannoma. Acta Neurochir (Wien) 2025; 167:116. [PMID: 40261443 PMCID: PMC12014738 DOI: 10.1007/s00701-025-06522-7] [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: 03/14/2025] [Accepted: 04/06/2025] [Indexed: 04/24/2025]
Abstract
Vestibular schwannoma (VS) can present several management challenges for the clinician. Their unpredictable potential for growth creates uncertainty regarding when active treatment should be initiated, and once growth is confirmed which treatment option should be adopted, notably surgery or radiotherapy, and in particular stereotactic radiosurgery (SRS). The obvious benefits of SRS would ideally come with the ability to reliably predict long-term radiosurgery response/failure. Differentiation from temporary post-treatment phenomena such as transient tumour expansion or reactive swelling remains an unmet need. More powerful again would be the pre-treatment identification of which tumours will respond to radiosurgery and which will not. Over the past decade, there has been emerging interest in the development of non-invasive biomarkers, including imaging, for predicting growth and treatment response in VS. Alongside clinical radiographic predictors for VS growth such as extracanalicular tumour location and growth in the first year, studies have shown potential promise for advanced MRI and blood-based biomarkers that capture pathophysiological mechanism behind VS growth. Emerging interest in radiomics-based analyses of routinely acquired MRI, and the use of physiological imaging techniques such as dynamic-contrast enhanced MRI for pre- and post-treatment evaluation of tumour microvasculature and microstructure holds promise for revolutionizing this area. This article explores the current state of identifying VS growth at initial presentation, predicting treatment response to SRS and detecting early treatment failure, and finally the potential for developing more personalized patient selection for drug therapies, including bevacizumab, as well as emerging novel therapeutics for these tumours.
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Affiliation(s)
- Daniel Lewis
- Division of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
- Department of Neurosurgery, Salford Royal Hospital, Nothern Care Alliance NHS Foundation Trust, Manchester, M6 8HD, UK.
| | - Ka-Loh Li
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Ibrahim Djoukhadar
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Cathal J Hannan
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - David J Coope
- Division of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
| | - Andrew T King
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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Stastna D, Macfarlane R, Axon P, Mannion R, Donnelly N, Tysome JR, Mathews R, Guilfoyle M, Borsetto D, Jayapalan R, Lawes I, Buttimore J, Bance M. Scoring System Assessing Risks of Growth in Sporadic Vestibular Schwannoma. Neurosurgery 2025; 96:681-692. [PMID: 39471095 DOI: 10.1227/neu.0000000000003170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 06/28/2024] [Indexed: 11/01/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Surveillance studies offer sparse knowledge of predictors of future growth in sporadic vestibular schwannomas (VS).Our aim was identification of these risk factors. We propose a scoring system to estimate the risk of growth in sporadic vestibular schwannoma. METHODS This retrospective study is based on the demographic and radiological data of 615 adult patients under the surveillance for single VS in our center. Univariate analysis, multivariate regression, and Kaplan-Meier analysis were used when appropriate. The regression coefficient-based "VS score" was calculated based on Cox proportional-hazards regression. RESULTS During surveillance, 285 tumors (46%) remained stable, 314 tumors (51%) grew, and 16 tumors (3%) shrank. The significant risks factors for future growth identified both in univariate and multivariate analyses were younger age at onset, cystic morphology, larger tumor volume, and cisternal location (as per Hannover grade). The proportion of growing tumors was 40%, 75%, and 96% among the homogeneous VS, primary cystic, and VS transformed to cystic, respectively. Moreover, tumor growth during the 1st year was significant predictor of continuous growth. Our "VS score" includes variables such as age, sex, morphology, and Hannover grade. The score extends between -3 and 6 points. Kaplan-Meier, confusion matrix, and receiver operating characteristic analysis proved high accuracy of our scoring model. CONCLUSION Our retrospective study revealed that younger age, cystic morphology, cisternal extent, larger volume, and growth during 1st year were strong predictors of future growth. Moreover, we propose a scoring system that accurately estimates the risks of future tumor growth.
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Affiliation(s)
- Daniela Stastna
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Robert Macfarlane
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Patrick Axon
- Department of ENT, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Richard Mannion
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Neil Donnelly
- Department of ENT, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - James R Tysome
- Department of ENT, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Rajeev Mathews
- Department of ENT, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Mathew Guilfoyle
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Daniele Borsetto
- Department of ENT, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Ronie Jayapalan
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Indu Lawes
- Department of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Juliette Buttimore
- Department of ENT, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
| | - Manohar Bance
- Department of ENT, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge , UK
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Gugel I, Aboutaha N, Pfluegler B, Ernemann U, Schuhmann MU, Tatagiba M, Grimm F. Comparison of 1D and 3D volume measurement techniques in NF2-associated vestibular schwannoma monitoring. Sci Rep 2025; 15:2313. [PMID: 39824854 PMCID: PMC11742393 DOI: 10.1038/s41598-025-85386-4] [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: 09/27/2024] [Accepted: 01/02/2025] [Indexed: 01/20/2025] Open
Abstract
To compare 1D (linear) tumor volume calculations and classification systems with 3D-segmented volumetric analysis (SVA), focusing specifically on their effectiveness in the evaluation and management of NF2-associated vestibular schwannomas (VS). VS were clinically followed every 6 months with cranial, thin-sliced (< 3 mm) MRI. We retrospectively reviewed and used T1-weighted post-contrast enhanced (gadolinium) images for both SVA and linear measurements. 3D-SVA was performed manually or combined with semiautomated segmentation by using axial planes. The maximum linear dimensions (MLD) were determined in three dimensions (anteroposterior, transverse, and craniocaudal planes) using axial and coronal planes. The MLD was cubed (MLD3), and orthogonal analysis (OA) was derived to establish comparability with the SVA. The Hannover and Koos classification was used to depict the size ratio in each MRI and tumor. A linear regression model was performed to compare 1D/classification systems to SVA, and the percentage deviation change of MLD3 and OA to SVA was established using a one-way multivariate variance analysis. 2586 SVA and 10344 linear measurements were performed in a cohort of 149 NF2 patients and 292 associated VS. All measurement techniques (MLD3, OA, KOOS, and Hannover) significantly (and strongly, r2 > 0.5) correlated with SVA (p < 0.001). The OA showed an even stronger positive correlation than the MLD3 to SVA. Smaller classified tumors (T1/T2, K1/K2) exhibited a low-moderate positive correlation (r2 = 0.23-0.44) compared to medium-sized (T3, K2/3) and large tumors (T4, K4; r2 = 0.54-0.76). Pre- and postoperative MLD3 and OA statistically significantly predict SVA (p < 0.001), but the postoperative correlation was weaker, particularly for MLD3 to SVA values. All analyses showed a large scatter range. In the percentage deviation analysis of MLD3 and OA from SVA, small tumors (K1/K2, T1/T2) were overestimated. Compared to the SVA, the MLD3 and especially the OA are a time-saving alternative for monitoring the tumor volume of NF2-associated VS. However, the scatter range in small/surgically reduced tumors is enormous. For this reason, they are not recommended for monitoring off-label therapy with Bevacizumab or for treatment decisions depending on a precise assessment of tumor volume and growth. Developing deep learning-based volume determinations in the future is essential to reduce SVA's time intensity.
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Affiliation(s)
- Isabel Gugel
- Department of Neurosurgery, Centre of Neurofibromatosis and Schwannomatosis, Centre for Rare Diseases, University Hospital Tübingen, Tübingen, Germany.
| | - Nuran Aboutaha
- Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Bianca Pfluegler
- Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Ulrike Ernemann
- Department of Neuroradiology, University Hospital Tübingen, Tübingen, Germany
| | - Martin Ulrich Schuhmann
- Department of Neurosurgery, Centre of Neurofibromatosis and Schwannomatosis, Centre for Rare Diseases, Division of Pediatric Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Marcos Tatagiba
- Department of Neurosurgery, Centre of Neurofibromatosis and Schwannomatosis, Centre for Rare Diseases, University Hospital Tübingen, Tübingen, Germany
| | - Florian Grimm
- Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
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Gregory GE, Haley MJ, Jones AP, Hannan CJ, Evans DG, King AT, Paszek P, Pathmanaban ON, Couper KN, Brough D. Alternatively activated macrophages are associated with faster growth rate in vestibular schwannoma. Brain Commun 2024; 6:fcae400. [PMID: 39611183 PMCID: PMC11604085 DOI: 10.1093/braincomms/fcae400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 09/03/2024] [Accepted: 11/11/2024] [Indexed: 11/30/2024] Open
Abstract
The variability in vestibular schwannoma growth rates greatly complicates clinical treatment. Management options are limited to radiological observation, surgery, radiotherapy and, in specific cases, bevacizumab therapy. As such, there is a pressing requirement for growth restricting drugs for vestibular schwannoma. This study explored potential predictors of vestibular schwannoma growth in depth, highlighting differences between static and growing vestibular schwannoma to identify potential therapeutic targets. High-dimensional imaging was used to characterize the tumour micro-environment of four static and five growing vestibular schwannoma (indicated by volumetric change < 20% or ≥ 20% per year, respectively). Single-cell spatial information and protein expression data from a panel of 35 tumour immune-targeted antibodies identified specific cell populations, their expression profiles and their spatial localization within the tumour micro-environment. Growing vestibular schwannoma contained significantly more proliferative and non-proliferative alternatively activated tumour-associated macrophages per millimetre square compared with static vestibular schwannoma. Furthermore, two additional proliferative cell types were identified in growing and static vestibular schwannoma: transitioning monocytes and programmed cell death ligand 1 (PD-L1+) Schwann cells. In agreement, growing vestibular schwannoma was characterized by a tumour micro-environment composed of immune-enriched, proliferative neighbourhoods, whereas static vestibular schwannoma were composed of tumour-enriched, non-proliferative neighbourhoods. Finally, classically activated macrophages significantly colocalized with alternatively activated macrophages in static vestibular schwannoma, but this sequestration was reduced in growing vestibular schwannoma. This study provides a novel, spatial characterization of the immune landscape in growing vestibular schwannoma, whilst highlighting the need for new therapeutic targets that modulate the tumour immune micro-environment.
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Affiliation(s)
- Grace E Gregory
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester M13 9PT, UK
| | - Michael J Haley
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester M13 9PT, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Adam P Jones
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester M13 9PT, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Cathal J Hannan
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- The Walton Centre NHS Foundation Trust, The Walton Centre, Fazakerley, Liverpool L9 7LJ, UK
| | - D Gareth Evans
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- Division of Evolution, Infection and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK
| | - Andrew T King
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- Division of Cardiovascular Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford M6 8HD, UK
| | - Pawel Paszek
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester M13 9PT, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-105 Warsaw, Poland
| | - Omar N Pathmanaban
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester M13 9PT, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford M6 8HD, UK
| | - Kevin N Couper
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester M13 9PT, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - David Brough
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester M13 9PT, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester M13 9PT, UK
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Chaulagain RP, Shrestha Y, K.C. K, Baral A. Bilateral vestibular schwannoma with a cooccurring meningioma in a child: a case report and review of literature. Ann Med Surg (Lond) 2024; 86:4247-4254. [PMID: 38989221 PMCID: PMC11230781 DOI: 10.1097/ms9.0000000000002217] [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: 04/24/2024] [Accepted: 05/15/2024] [Indexed: 07/12/2024] Open
Abstract
Introduction Meningioma and vestibular schwannoma (VS) are the first and second most common benign central nervous system tumors. The coexistence of VS and meningioma presents a rare clinical scenario, particularly in pediatric patients. This report presents a case of bilateral VS with a cooccurring meningioma in a Nepali child and provides an overview of the literature on this condition. Case report A 15-year-old male presented with bilateral sensorineural hearing loss, seizures, and neurological deficits and was ultimately diagnosed with concomitant bilateral acoustic neuroma and meningioma. The patient underwent radiosurgery for bilateral VS and nonoperative management of the meningioma. Long-term follow-up revealed symptomatic improvement, emphasizing the importance of a multidisciplinary approach in managing such complex cases. The management of these tumors requires tailored treatment strategies guided by tumor characteristics and associated risks. Discussion Meningioma and VS are common tumors of the central nervous system. Their coexistence is possible in neurofibromatosis type 2 but is exceedingly rare in pediatric age group. The tumors, often coexisting, pose diagnostic challenges. Diagnosis relies on clinical and genetic features, with multidisciplinary management involving various specialists. Treatment aims to preserve function and quality of life, utilizing approaches such as bevacizumab and surgical intervention. The role of radiation therapy remains uncertain. Genetic testing and regular monitoring are vital for early detection and intervention. Conclusion The cooccurrence of acoustic neuromas and meningiomas is poorly understood, with limited reported cases and unclear pathophysiological mechanisms. Further research into the genetic and molecular mechanisms underlying the coexistence of these tumors is needed to optimize patient outcomes in this rare clinical entity.
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Affiliation(s)
- Ram P. Chaulagain
- Department: Department of Internal Medicine The Second Affiliated Hospital of Harbin Medical University, Harbin City, China
| | | | - Kusha K.C.
- Department of Child HealthTribhuvan University Teaching Hospital
| | - Abal Baral
- No department Ministry of Health and Population, Kathmandu, Nepal
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Lewis D, Li KL, Waqar M, Coope DJ, Pathmanaban ON, King AT, Djoukhadar I, Zhao S, Cootes TF, Jackson A, Zhu X. Low-dose GBCA administration for brain tumour dynamic contrast enhanced MRI: a feasibility study. Sci Rep 2024; 14:4905. [PMID: 38418818 PMCID: PMC10902320 DOI: 10.1038/s41598-024-53871-x] [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: 06/14/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024] Open
Abstract
A key limitation of current dynamic contrast enhanced (DCE) MRI techniques is the requirement for full-dose gadolinium-based contrast agent (GBCA) administration. The purpose of this feasibility study was to develop and assess a new low GBCA dose protocol for deriving high-spatial resolution kinetic parameters from brain DCE-MRI. Nineteen patients with intracranial skull base tumours were prospectively imaged at 1.5 T using a single-injection, fixed-volume low GBCA dose, dual temporal resolution interleaved DCE-MRI acquisition. The accuracy of kinetic parameters (ve, Ktrans, vp) derived using this new low GBCA dose technique was evaluated through both Monte-Carlo simulations (mean percent deviation, PD, of measured from true values) and an in vivo study incorporating comparison with a conventional full-dose GBCA protocol and correlation with histopathological data. The mean PD of data from the interleaved high-temporal-high-spatial resolution approach outperformed use of high-spatial, low temporal resolution datasets alone (p < 0.0001, t-test). Kinetic parameters derived using the low-dose interleaved protocol correlated significantly with parameters derived from a full-dose acquisition (p < 0.001) and demonstrated a significant association with tissue markers of microvessel density (p < 0.05). Our results suggest accurate high-spatial resolution kinetic parameter mapping is feasible with significantly reduced GBCA dose.
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Affiliation(s)
- Daniel Lewis
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Stott Lane, Salford, Greater Manchester, M6 8HD, UK.
| | - Ka-Loh Li
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Mueez Waqar
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - David J Coope
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Andrew T King
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Ibrahim Djoukhadar
- Department of Neuroradiology, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sha Zhao
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Timothy F Cootes
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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7
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Li KL, Lewis D, Zhu X, Coope DJ, Djoukhadar I, King AT, Cootes T, Jackson A. A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis. Pharmaceuticals (Basel) 2023; 16:1282. [PMID: 37765090 PMCID: PMC10534691 DOI: 10.3390/ph16091282] [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: 07/03/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
This study aimed to develop and evaluate a new DCE-MRI processing technique that combines LEGATOS, a dual-temporal resolution DCE-MRI technique, with multi-kinetic models. This technique enables high spatial resolution interrogation of flow and permeability effects, which is currently challenging to achieve. Twelve patients with neurofibromatosis type II-related vestibular schwannoma (20 tumours) undergoing bevacizumab therapy were imaged at 1.5 T both before and at 90 days following treatment. Using the new technique, whole-brain, high spatial resolution images of the contrast transfer coefficient (Ktrans), vascular fraction (vp), extravascular extracellular fraction (ve), capillary plasma flow (Fp), and the capillary permeability-surface area product (PS) could be obtained, and their predictive value was examined. Of the five microvascular parameters derived using the new method, baseline PS exhibited the strongest correlation with the baseline tumour volume (p = 0.03). Baseline ve showed the strongest correlation with the change in tumour volume, particularly the percentage tumour volume change at 90 days after treatment (p < 0.001), and PS demonstrated a larger reduction at 90 days after treatment (p = 0.0001) when compared to Ktrans or Fp alone. Both the capillary permeability-surface area product (PS) and the extravascular extracellular fraction (ve) significantly differentiated the 'responder' and 'non-responder' tumour groups at 90 days (p < 0.05 and p < 0.001, respectively). These results highlight that this novel DCE-MRI analysis approach can be used to evaluate tumour microvascular changes during treatment and the need for future larger clinical studies investigating its role in predicting antiangiogenic therapy response.
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Affiliation(s)
- Ka-Loh Li
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
| | - Daniel Lewis
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
- Wolfson Molecular Imaging Centre, University of Manchester, 27 Palatine Road, Manchester M20 3LJ, UK
| | - David J. Coope
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Ibrahim Djoukhadar
- Department of Neuroradiology, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK;
| | - Andrew T. King
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Timothy Cootes
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
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Madhani AS, King S, Zhu J, Karmali F, Welling DB, Cai W, Jordan JT, Lewis RF. Vestibular dysfunction in neurofibromatosis type 2-related schwannomatosis. Brain Commun 2023; 5:fcad089. [PMID: 37025569 PMCID: PMC10072238 DOI: 10.1093/braincomms/fcad089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 12/09/2022] [Accepted: 03/21/2023] [Indexed: 04/08/2023] Open
Abstract
Neurofibromatosis type 2-related schwannomatosis is a genetic disorder characterized by neurologic tumours, most typically vestibular schwannomas that originate on the vestibulo-cochlear nerve(s). Although vestibular symptoms can be disabling, vestibular function has never been carefully analysed in neurofibromatosis type 2-related schwannomatosis. Furthermore, chemotherapy (e.g. bevacizumab) can reduce tumour volume and improve hearing in neurofibromatosis type 2-related schwannomatosis, but nothing is known about its vestibular effects. In this report, we studied the three primary vestibular-mediated behaviours (eye movements, motion perception and balance), clinical vestibular disability (dizziness and ataxia), and imaging and hearing in eight untreated patients with neurofibromatosis type 2-related schwannomatosis and compared their results with normal subjects and patients with sporadic, unilateral vestibular schwannoma tumours. We also examined how bevacizumab affected two patients with neurofibromatosis type 2-related schwannomatosis. Vestibular schwannomas in neurofibromatosis type 2-related schwannomatosis degraded vestibular precision (inverse of variability, reflecting a reduced central signal-to-noise ratio) but not vestibular accuracy (amplitude relative to ideal amplitude, reflecting the central signal magnitude) and caused clinical disability. Bevacizumab improved vestibular precision and clinical disability in both patients with neurofibromatosis type 2-related schwannomatosis but did not affect vestibular accuracy. These results demonstrate that vestibular schwannoma tumours in our neurofibromatosis type 2-related schwannomatosis population degrade the central vestibular signal-to-noise ratio, while bevacizumab improves the signal-to-noise ratio, changes that can be explained mechanistically by the addition (schwannoma) and suppression (bevacizumab) of afferent neural noise.
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Affiliation(s)
- Amsal S Madhani
- Department of Otolargynology, Massachusetts Eye and Ear,
Boston, MA, USA
| | - Susan King
- Department of Otolargynology, Massachusetts Eye and Ear,
Boston, MA, USA
| | - Jennifer Zhu
- Department of Otolargynology, Massachusetts Eye and Ear,
Boston, MA, USA
| | - Faisal Karmali
- Department of Otolargynology, Massachusetts Eye and Ear,
Boston, MA, USA
- Department of Otolaryngology Head and Neck Surgery, Harvard Medical
School, Boston, MA, USA
| | - D Bradley Welling
- Department of Otolargynology, Massachusetts Eye and Ear,
Boston, MA, USA
- Department of Otolaryngology Head and Neck Surgery, Harvard Medical
School, Boston, MA, USA
| | - Wenli Cai
- Department of Neurology, Massachusetts General Hospital,
Boston, MA, USA
- Department of Radiology, Harvard Medical School,
Boston, MA, USA
| | - Justin T Jordan
- Department of Neurology, Massachusetts General Hospital,
Boston, MA, USA
- Department of Neurology, Harvard Medical School,
Boston, MA, USA
| | - Richard F Lewis
- Department of Otolargynology, Massachusetts Eye and Ear,
Boston, MA, USA
- Department of Otolaryngology Head and Neck Surgery, Harvard Medical
School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital,
Boston, MA, USA
- Department of Neurology, Harvard Medical School,
Boston, MA, USA
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9
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Constanzo F, Teixeira BCDA, Sens P, Smaili H, Escuissato DL, Ramina R. Perfusion-weighted imaging in vestibular schwannoma: the influence that cystic status and tumor size have on perfusion profiles. Radiol Bras 2023; 56:67-74. [PMID: 37168041 PMCID: PMC10165972 DOI: 10.1590/0100-3984.2022.0035] [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: 03/21/2022] [Accepted: 09/12/2022] [Indexed: 05/13/2023] Open
Abstract
Objective The perfusion profile of vestibular schwannomas (VSs) and the factors that influence it have yet to be determined. Materials and Methods Twenty patients with sporadic VS were analyzed by calculating parameters related to the extravascular extracellular space (EES)-the volume transfer constant between a vessel and the EES (Ktrans); the EES volume per unit of tissue volume (Ve); and the rate transfer constant between EES and blood plasma (Kep)-as well as the relative cerebral blood volume (rCBV), and by correlating those parameters with the size of the tumor and its structure (solid, cystic, or heterogeneous). Results Although Ktrans, Ve, and Kep were measurable in all tumors, rCBV was measurable only in large tumors. We detected a positive correlation between Ktrans and rCBV (r = 0.62, p = 0.031), a negative correlation between Ve and Kep (r = -0.51, p = 0.021), and a positive correlation between Ktrans and Ve only in solid VSs (r = 0.64, p = 0.048). Comparing the means for small and large VSs, we found that the former showed lower Ktrans (0.13 vs. 0.029, p < 0.001), higher Kep (0.68 vs. 0.46, p = 0.037), and lower Ve (0.45 vs. 0.83, p < 0.001). The mean Ktrans was lower in the cystic portions of cystic VSs than in their solid portions (0.14 vs. 0.32, p < 0.001), as was the mean Ve (0.37 vs. 0.78, p < 0.001). There were positive correlations between the solid and cystic portions for Ktrans (r = 0.71, p = 0.048) and Kep (r = 0.74, p = 0.037). Conclusion In VS, tumor size appears to be consistently associated with perfusion values. In cystic VS, the cystic portions seem to have lower Ktrans and Ve than do the solid portions.
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Affiliation(s)
- Felipe Constanzo
- Clínica Biobío, Concepción, Chile
- Hospital Clínico Regional de Concepción, Concepción,
Chile
| | | | - Patricia Sens
- Instituto de Neurologia de Curitiba (INC), Curitiba, PR, Brazil
| | - Hamzah Smaili
- Instituto de Neurologia de Curitiba (INC), Curitiba, PR, Brazil
| | | | - Ricardo Ramina
- Instituto de Neurologia de Curitiba (INC), Curitiba, PR, Brazil
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10
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Waqar M, Van Houdt PJ, Hessen E, Li KL, Zhu X, Jackson A, Iqbal M, O’Connor J, Djoukhadar I, van der Heide UA, Coope DJ, Borst GR. Visualising spatial heterogeneity in glioblastoma using imaging habitats. Front Oncol 2022; 12:1037896. [PMID: 36505856 PMCID: PMC9731157 DOI: 10.3389/fonc.2022.1037896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/31/2022] [Indexed: 11/26/2022] Open
Abstract
Glioblastoma is a high-grade aggressive neoplasm characterised by significant intra-tumoral spatial heterogeneity. Personalising therapy for this tumour requires non-invasive tools to visualise its heterogeneity to monitor treatment response on a regional level. To date, efforts to characterise glioblastoma's imaging features and heterogeneity have focussed on individual imaging biomarkers, or high-throughput radiomic approaches that consider a vast number of imaging variables across the tumour as a whole. Habitat imaging is a novel approach to cancer imaging that identifies tumour regions or 'habitats' based on shared imaging characteristics, usually defined using multiple imaging biomarkers. Habitat imaging reflects the evolution of imaging biomarkers and offers spatially preserved assessment of tumour physiological processes such perfusion and cellularity. This allows for regional assessment of treatment response to facilitate personalised therapy. In this review, we explore different methodologies to derive imaging habitats in glioblastoma, strategies to overcome its technical challenges, contrast experiences to other cancers, and describe potential clinical applications.
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Affiliation(s)
- Mueez Waqar
- Department of Neurosurgery, Geoffrey Jefferson Brain Research Centre, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
| | - Petra J. Van Houdt
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Eline Hessen
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ka-Loh Li
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
| | - Xiaoping Zhu
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
| | - Alan Jackson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
- Department of Neuroradiology, Geoffrey Jefferson Brain Research Centre, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom
| | - Mudassar Iqbal
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
| | - James O’Connor
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
- Department of Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Ibrahim Djoukhadar
- Department of Neuroradiology, Geoffrey Jefferson Brain Research Centre, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom
| | - Uulke A. van der Heide
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands
| | - David J. Coope
- Department of Neurosurgery, Geoffrey Jefferson Brain Research Centre, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, United Kingdom
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
| | - Gerben R. Borst
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom
- Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom
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11
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Zhang DF, Ma H, Yang GJ, Zhang ZP, He YF, Feng MY, Shan BC, Xu XF, Ding YY, Cheng YQ. Blood–brain barrier and brain structural changes in lung cancer patients with non-brain metastases. Front Oncol 2022; 12:1015011. [PMID: 36330467 PMCID: PMC9623018 DOI: 10.3389/fonc.2022.1015011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/27/2022] [Indexed: 11/22/2022] Open
Abstract
Purpose To explore the relationship between blood-brain barrier (BBB) leakage and brain structure in non-brain metastasis lung cancer (LC) by magnetic resonance imaging (MRI) as well as to indicate the possibility of brain metastasis (BM) occurrence. Patients and methods MRI were performed in 75 LC patients and 29 counterpart healthy peoples (HCs). We used the Patlak pharmacokinetic model to calculate the average leakage in each brain region according to the automated anatomical labeling (AAL) atlas. The thickness of the cortex and the volumes of subcortical structures were calculated using the FreeSurfer base on Destrieux atlas. We compared the thickness of the cerebral cortex, the volumes of subcortical structures, and the leakage rates of BBB, and evaluated the relationships between these parameters. Results Compared with HCs, the leakage rates of seven brain regions were higher in patients with advanced LC (aLC). In contrast to patients with early LC (eLC), the cortical thickness of two regions was decreased in aLCs. The volumes of twelve regions were also reduced in aLCs. Brain regions with increased BBB penetration showed negative correlations with thinner cortices and reduced subcortical structure volumes (P<0.05, R=-0.2 to -0.50). BBB penetration was positively correlated with tumor size and with levels of the tumor marker CYFRA21-1 (P<0.05, R=0.2–0.70). Conclusion We found an increase in BBB permeability in non-BM aLCs that corresponded to a thinner cortical thickness and smaller subcortical structure volumes. With progression in LC staging, BBB shows higher permeability and may be more likely to develop into BM.
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Affiliation(s)
- Da-Fu Zhang
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, China
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Huan Ma
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
- Department of Psychiatry, the Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Guang-Jun Yang
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Zhi-Ping Zhang
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Yin-Fu He
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Mao-Yang Feng
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Bao-Ci Shan
- Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Xiu-Feng Xu
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Clinical Research Center for Mental Disorders, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- *Correspondence: Xiu-Feng Xu, ; Ying-Ying Ding, ; Yu-Qi Cheng,
| | - Ying-Ying Ding
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
- *Correspondence: Xiu-Feng Xu, ; Ying-Ying Ding, ; Yu-Qi Cheng,
| | - Yu-Qi Cheng
- Department of Psychiatry, the First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Clinical Research Center for Mental Disorders, The First Affiliated Hospital of Kunming Medical University, Kunming, China
- *Correspondence: Xiu-Feng Xu, ; Ying-Ying Ding, ; Yu-Qi Cheng,
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12
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Alnefaie N, Almutairi OT, Alturki AY, Bafaquh M. Bibliometric analysis of the top 100 most-cited articles in neurofibromatosis. Surg Neurol Int 2022; 13:282. [PMID: 35855179 PMCID: PMC9282785 DOI: 10.25259/sni_114_2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 06/10/2022] [Indexed: 11/04/2022] Open
Abstract
Background:
Neurofibromatosis (NF) is an umbrella term that refers to three distinct disease entities: NF Type 1, Type 2, and schwannomatosis. Here, we reviewed the scientific performance and the most influential publications on NF.
Methods:
A keyword-based search was performed using the Scopus database. The top 100 articles were grouped based on NF types and the studied entities. The differences between the articles, authors, and journals were quantified based on certain parameters. Other parameters were collected for the complete citational analysis.
Results:
The top 100 articles were published between 1961 and 2020. The most trending period of research was in the 1990s and articles studying the clinical aspect and the underlying genetic correlation made up 84% of all articles from the list. The United States of America (USA) had the highest number of contributions (69 articles, 69%). The top institute of contribution to the list was the Howard Hughes Medical Institute, USA (14 articles, 14%). Author-based analysis reveals that the neurologist D. H. Gutmann from St. Louis Children’s Hospital, USA, was the most active and authored 11 articles (11%) on the list.
Conclusion:
The publication trends show that articles studying medical and surgical management were of little interest. The top 100 articles did not include any randomized control trials, and the highest level of evidence was obtained from reviews of pooled knowledge as well as population-based and longitudinal studies.
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13
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Surrogate vascular input function measurements from the superior sagittal sinus are repeatable and provide tissue-validated kinetic parameters in brain DCE-MRI. Sci Rep 2022; 12:8737. [PMID: 35610281 PMCID: PMC9130284 DOI: 10.1038/s41598-022-12582-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 04/27/2022] [Indexed: 01/08/2023] Open
Abstract
Accurate vascular input function (VIF) derivation is essential in brain dynamic contrast-enhanced (DCE) MRI. The optimum site for VIF estimation is, however, debated. This study sought to compare VIFs extracted from the internal carotid artery (ICA) and its branches with an arrival-corrected vascular output function (VOF) derived from the superior sagittal sinus (VOFSSS). DCE-MRI datasets from sixty-six patients with different brain tumours were retrospectively analysed and plasma gadolinium-based contrast agent (GBCA) concentration-time curves used to extract VOF/VIFs from the SSS, the ICA, and the middle cerebral artery. Semi-quantitative parameters across each first-pass VOF/VIF were compared and the relationship between these parameters and GBCA dose was evaluated. Through a test-retest study in 12 patients, the repeatability of each semiquantitative VOF/VIF parameter was evaluated; and through comparison with histopathological data the accuracy of kinetic parameter estimates derived using each VOF/VIF and the extended Tofts model was also assessed. VOFSSS provided a superior surrogate global input function compared to arteries, with greater contrast-to-noise (p < 0.001), higher peak (p < 0.001, repeated-measures ANOVA), and a greater sensitivity to interindividual plasma GBCA concentration. The repeatability of VOFSSS derived semi-quantitative parameters was good to excellent (ICC = 0.717-0.888) outperforming arterial based approaches. In contrast to arterial VIFs, kinetic parameters obtained using a SSS derived VOF permitted detection of intertumoural differences in both microvessel surface area and cell density within resected tissue specimens. These results support the usage of an arrival-corrected VOFSSS as a surrogate vascular input function for kinetic parameter mapping in brain DCE-MRI.
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14
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Hwang I, Choi SH, Kim JW, Yeon EK, Lee JY, Yoo RE, Kang KM, Yun TJ, Kim JH, Sohn CH. Response prediction of vestibular schwannoma after gamma-knife radiosurgery using pretreatment dynamic contrast-enhanced MRI: a prospective study. Eur Radiol 2022; 32:3734-3743. [PMID: 35084518 DOI: 10.1007/s00330-021-08517-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 11/09/2021] [Accepted: 12/10/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVES There are few known predictive factors for response to gamma-knife radiosurgery (GKRS) in vestibular schwannoma (VS). We investigated the predictive role of pretreatment dynamic contrast-enhanced (DCE)-MRI parameters regarding the tumor response after GKRS in sporadic VS. METHODS This single-center prospective study enrolled participants between April 2017 and February 2019. We performed a volumetric measurement of DCE-MRI-derived parameters before GKRS. The tumor volume was measured in a follow-up MRI. The pharmacokinetic parameters were compared between responders and nonresponders according to 20% or more tumor volume reduction. Stepwise multivariable logistic regression analyses were performed, and the diagnostic performance of DCE-MRI parameters for the prediction of tumor response was evaluated by receiver operating characteristic curve analysis. RESULTS Ultimately, 35 participants (21 women, 52 ± 12 years) were included. There were 22 (62.9%) responders with a mean follow-up interval of 30.2 ± 5.7 months. Ktrans (0.036 min-1 vs. 0.057 min-1, p = .008) and initial area under the time-concentration curve within 90 s (IAUC90) (84.4 vs. 143.6, p = .003) showed significant differences between responders and nonresponders. Ktrans (OR = 0.96, p = .021) and IAUC90 (OR = 0.97, p = .004) were significant differentiating variables in each multivariable model with clinical variables for tumor response prediction. Ktrans showed a sensitivity of 81.8% and a specificity of 69.2%, and IAUC90 showed a sensitivity of 100% and a specificity of 53.8% for tumor response prediction. CONCLUSION DCE-MRI (particularly Ktrans and IAUC90) has the potential to be a predictive factor for tumor response in VS after GKRS. KEY POINTS •Pretreatment prediction of gamma-knife radiosurgery response in vestibular schwannoma is still challenging. •Dynamic contrast-enhanced MRI could have predictive value for the response of vestibular schwannoma after gamma-knife radiosurgery.
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Affiliation(s)
- Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. .,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. .,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. .,Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, 08826, Republic of Korea.
| | - Jin Wook Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eung Koo Yeon
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Ji Ye Lee
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Roh-Eul Yoo
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae Jin Yun
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji-Hoon Kim
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
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15
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Özer H, Yazol M, Erdoğan N, Emmez ÖH, Kurt G, Öner AY. Dynamic contrast-enhanced magnetic resonance imaging for evaluating early response to radiosurgery in patients with vestibular schwannoma. Jpn J Radiol 2022; 40:678-688. [PMID: 35038116 DOI: 10.1007/s11604-021-01245-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/28/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE This study aimed to use dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to evaluate early treatment response in vestibular schwannoma (VS) patients after radiosurgery. METHODS Twenty-four VS patients who underwent gamma knife radiosurgery were prospectively followed up for at least four years. DCE-MRI sequences, in addition to standard MRI protocol, were obtained prior to radiosurgery, at 3 and 6 months. Conventionally, treatment responses based on tumor volume changes were classified as regression or stable (RS), transient tumor enlargement (TTE), and continuous tumor enlargement (CTE). DCE-MRI parameters, such as Ktrans, Kep and Ve, were compared according to follow-up periods and between groups. The diagnostic performance was tested using receiver operating characteristic (ROC) curves. RESULTS Changes in tumor volume were as follows at the last 48 months of follow-up: RS in 11 patients (45.8%), TTE in 10 patients (41.7%), and CTE in three patients (12.5%). The median time required to distinguish TTE from CTE using conventional MRI was 12 months (range 9-18). The Ktrans and Ve were significantly decreased in patients with RS and TTE at 3 and 6 months, but did not differ significantly in patients with CTE. There were no significant differences in Ktrans and Ve between patients with RS and TTE at 3 and 6 months. Both Ktrans and Ve demonstrated high diagnostic performance in evaluating early treatment response to radiosurgery in patients with VS. CONCLUSION DCE-MRI may aid in the monitoring and early prediction of treatment response in patients with VS following radiosurgery.
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Affiliation(s)
- Halil Özer
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey.
| | - Merve Yazol
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey
| | - Nesrin Erdoğan
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey
| | - Ömer Hakan Emmez
- Department of Neurosurgery, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Gökhan Kurt
- Department of Neurosurgery, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Ali Yusuf Öner
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey
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16
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Li KL, Lewis D, Coope DJ, Roncaroli F, Agushi E, Pathmanaban ON, King AT, Zhao S, Jackson A, Cootes T, Zhu X. The LEGATOS technique: A new tissue-validated dynamic contrast-enhanced MRI method for whole-brain, high-spatial resolution parametric mapping. Magn Reson Med 2021; 86:2122-2136. [PMID: 33991126 DOI: 10.1002/mrm.28842] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 04/23/2021] [Accepted: 04/24/2021] [Indexed: 01/06/2023]
Abstract
PURPOSE A DCE-MRI technique that can provide both high spatiotemporal resolution and whole-brain coverage for quantitative microvascular analysis is highly desirable but currently challenging to achieve. In this study, we sought to develop and validate a novel dual-temporal resolution (DTR) DCE-MRI-based methodology for deriving accurate, whole-brain high-spatial resolution microvascular parameters. METHODS Dual injection DTR DCE-MRI was performed and composite high-temporal and high-spatial resolution tissue gadolinium-based-contrast agent (GBCA) concentration curves were constructed. The high-temporal but low-spatial resolution first-pass GBCA concentration curves were then reconstructed pixel-by-pixel to higher spatial resolution using a process we call LEGATOS. The accuracy of kinetic parameters (Ktrans , vp , and ve ) derived using LEGATOS was evaluated through simulations and in vivo studies in 17 patients with vestibular schwannoma (VS) and 13 patients with glioblastoma (GBM). Tissue from 15 tumors (VS) was examined with markers for microvessels (CD31) and cell density (hematoxylin and eosin [H&E]). RESULTS LEGATOS derived parameter maps offered superior spatial resolution and improved parameter accuracy compared to the use of high-temporal resolution data alone, provided superior discrimination of plasma volume and vascular leakage effects compared to other high-spatial resolution approaches, and correlated with tissue markers of vascularity (P ≤ 0.003) and cell density (P ≤ 0.006). CONCLUSION The LEGATOS method can be used to generate accurate, high-spatial resolution microvascular parameter estimates from DCE-MRI.
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Affiliation(s)
- Ka-Loh Li
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Daniel Lewis
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.,Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom
| | - David J Coope
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Federico Roncaroli
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Erjon Agushi
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Omar N Pathmanaban
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Andrew T King
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Sha Zhao
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Timothy Cootes
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
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17
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Lewis D, Donofrio CA, O'Leary C, Li KL, Zhu X, Williams R, Djoukhadar I, Agushi E, Hannan CJ, Stapleton E, Lloyd SK, Freeman SR, Wadeson A, Rutherford SA, Hammerbeck-Ward C, Evans DG, Jackson A, Pathmanaban ON, Roncaroli F, King AT, Coope DJ. The microenvironment in sporadic and neurofibromatosis type II-related vestibular schwannoma: the same tumor or different? A comparative imaging and neuropathology study. J Neurosurg 2021; 134:1419-1429. [PMID: 32470937 DOI: 10.3171/2020.3.jns193230] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Accepted: 03/11/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Inflammation and angiogenesis may play a role in the growth of sporadic and neurofibromatosis type 2 (NF2)-related vestibular schwannoma (VS). The similarities in microvascular and inflammatory microenvironment have not been investigated. The authors sought to compare the tumor microenvironment (TME) in sporadic and NF2-related VSs using a combined imaging and tissue analysis approach. METHODS Diffusion MRI and high-temporal-resolution dynamic contrast-enhanced (DCE) MRI data sets were prospectively acquired in 20 NF2-related and 24 size-matched sporadic VSs. Diffusion metrics (mean diffusivity, fractional anisotropy) and DCE-MRI-derived microvascular biomarkers (transfer constant [Ktrans], fractional plasma volume, tissue extravascular-extracellular space [ve], longitudinal relaxation rate, tumoral blood flow) were compared across both VS groups, and regression analysis was used to evaluate the effect of tumor size, pretreatment tumor growth rate, and tumor NF2 status (sporadic vs NF2-related) on each imaging parameter. Tissues from 17 imaged sporadic VSs and a separate cohort of 12 NF2-related VSs were examined with immunohistochemistry markers for vessels (CD31), vessel permeability (fibrinogen), and macrophage density (Iba1). The expression of vascular endothelial growth factor (VEGF) and VEGF receptor 1 was evaluated using immunohistochemistry, Western blotting, and double immunofluorescence. RESULTS Imaging data demonstrated that DCE-MRI-derived microvascular characteristics were similar in sporadic and NF2-related VSs. Ktrans (p < 0.001), ve (p ≤ 0.004), and tumoral free water content (p ≤ 0.003) increased with increasing tumor size and pretreatment tumor growth rate. Regression analysis demonstrated that with the exception of mean diffusivity (p < 0.001), NF2 status had no statistically significant effect on any of the imaging parameters or the observed relationship between the imaging parameters and tumor size (p > 0.05). Tissue analysis confirmed the imaging metrics among resected sporadic VSs and demonstrated that across all VSs studied, there was a close association between vascularity and Iba1+ macrophage density (r = 0.55, p = 0.002). VEGF was expressed by Iba1+ macrophages. CONCLUSIONS The authors present the first in vivo comparative study of microvascular and inflammatory characteristics in sporadic and NF2-related VSs. The imaging and tissue analysis results indicate that inflammation is a key contributor to TME and should be viewed as a therapeutic target in both VS groups.
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Affiliation(s)
- Daniel Lewis
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
- 2Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester
| | - Carmine A Donofrio
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Claire O'Leary
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
- 3Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester
| | - Ka-Loh Li
- 2Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester
| | - Xiaoping Zhu
- 2Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester
| | - Ricky Williams
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Ibrahim Djoukhadar
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Erjon Agushi
- 2Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester
| | - Cathal J Hannan
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Emma Stapleton
- 4Department of Otolaryngology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Simon K Lloyd
- 4Department of Otolaryngology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Simon R Freeman
- 4Department of Otolaryngology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Andrea Wadeson
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Scott A Rutherford
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Charlotte Hammerbeck-Ward
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
| | - D Gareth Evans
- 5Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester
| | - Alan Jackson
- 2Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester
| | - Omar N Pathmanaban
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
- 6Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester; and
| | - Federico Roncaroli
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
- 3Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester
| | - Andrew T King
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
- 7Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, United Kingdom
| | - David J Coope
- 1Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre
- 3Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester
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18
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Ardern-Holmes S, White C, Bahure S, So S, McCowage G, Hovey E, Troon S, De Souza P, Simes J, Slancar M, Dexter M, Wong M. The Effect of Bevacizumab on Vestibular Schwannoma Related to Neurofibromatosis Type 2. AUSTRALASIAN JOURNAL OF NEUROSCIENCE 2021. [DOI: 10.21307/ajon-2021-002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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19
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Goldbrunner R, Weller M, Regis J, Lund-Johansen M, Stavrinou P, Reuss D, Evans DG, Lefranc F, Sallabanda K, Falini A, Axon P, Sterkers O, Fariselli L, Wick W, Tonn JC. EANO guideline on the diagnosis and treatment of vestibular schwannoma. Neuro Oncol 2021; 22:31-45. [PMID: 31504802 DOI: 10.1093/neuonc/noz153] [Citation(s) in RCA: 223] [Impact Index Per Article: 55.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
The level of evidence to provide treatment recommendations for vestibular schwannoma is low compared with other intracranial neoplasms. Therefore, the vestibular schwannoma task force of the European Association of Neuro-Oncology assessed the data available in the literature and composed a set of recommendations for health care professionals. The radiological diagnosis of vestibular schwannoma is made by magnetic resonance imaging. Histological verification of the diagnosis is not always required. Current treatment options include observation, surgical resection, fractionated radiotherapy, and radiosurgery. The choice of treatment depends on clinical presentation, tumor size, and expertise of the treating center. In small tumors, observation has to be weighed against radiosurgery, in large tumors surgical decompression is mandatory, potentially followed by fractionated radiotherapy or radiosurgery. Except for bevacizumab in neurofibromatosis type 2, there is no role for pharmacotherapy.
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Affiliation(s)
- Roland Goldbrunner
- Center of Neurosurgery, Department of General Neurosurgery, University of Cologne, Cologne, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Jean Regis
- Department of Functional and Stereotactic Neurosurgery and Radiosurgery, Timone University Hospital, Marseille, France
| | - Morten Lund-Johansen
- Department of Neurosurgery, Bergen University Hospital and Department of Clinical Medicine, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Pantelis Stavrinou
- Center of Neurosurgery, Department of General Neurosurgery, University of Cologne, Cologne, Germany
| | - David Reuss
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine and NW Laboratory Genetics Hub, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Florence Lefranc
- Department of Neurosurgery, Erasmus Hospital, Free University of Brussels, Brussels, Belgium
| | - Kita Sallabanda
- Department of Neurosurgery, University Hospital San Carlos, Complutense University of Madrid, Madrid, Spain; University Hospital San Carlos, CyberKnife Centre, Genesiscare Madrid, Madrid, Spain
| | - Andrea Falini
- Department of Neuroradiology, IRCCS San Raffaele Scientific Institute and Vita-Salute San Raffaele University, Milan, Italy
| | - Patrick Axon
- Cambridge Skull Base Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Olivier Sterkers
- Department of Otolaryngology, Unit of Otology, Auditory implants and Skull Base Surgery, Public Assistance-Paris Hospital, Pitié-Salpêtrière Group Hospital, Paris, France
| | - Laura Fariselli
- Unit of Radiotherapy, Neurological Institute Carlo Best, Milan, Italy
| | - Wolfgang Wick
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery Ludwig-Maximilians University and DKTK partner site, University of Munich, Munich, Germany
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20
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Massaad E, Hamidi N, Goetz J, Padmanaban V, Mau C, Tsang D, de Moraes FY, Chung C, Zacharia BE, Mansouri A. Equivalent Efficacy and Safety of Radiosurgery for Cystic and Solid Vestibular Schwannomas: A Systematic Review. World Neurosurg 2021; 146:322-331.e1. [PMID: 33212274 DOI: 10.1016/j.wneu.2020.11.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/06/2020] [Accepted: 11/07/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND Cystic vestibular schwannomas (VS) are associated with unpredictable growth behavior and potentially worse surgical outcomes compared with their solid counterparts. Growth control and potential adverse effects of radiosurgery for cystic VS have created concerns surrounding this modality. We sought to compare the treatment efficacy and safety profile of radiosurgery between cystic and solid VS through a systematic review. METHODS PubMed, EMBASE, Web of Science, and Cochrane were searched for related terms and studies reporting radiosurgical outcomes of cystic and solid VS. A meta-analysis was performed to compare the rates of tumor control. Random-effect models with generic inverse variance method was used to calculate overall pooled estimates. Study quality was assessed with the Newcastle Ottawa Criteria. RESULTS In total, 2989 studies were retrieved, and 6 including 1358 VS (79.89% solid; 20.11% cystic, median follow-up range 31.8-150 months) were selected. The median maximal dose was 25 Gy (range, 13-36 Gy) and the median marginal tumor dose was 12 Gy (10-18 Gy). There was no difference between cystic and solid VS (risk ratio, 1.02; 95% confidence interval 0.94-1.10; P = 0.69; I2 = 78%). Transient enlargement of cystic tumors may be associated with trigeminal or facial neuropathy. CONCLUSIONS The evidence collected by this study suggests that radiosurgery for cystic VS exhibits effective tumor control probabilities similar to solid VS. Consensus definitions and standard criteria are needed in the future to better understand the patterns of tumor growth and response to treatment following radiosurgery for cystic VS, as well as long-term neurological and functional outcomes.
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Affiliation(s)
- Elie Massaad
- Clinical Investigation Program, Harvard Medical School, Boston, Massachusetts, USA
| | - Nima Hamidi
- Doctor of Osteopathic Medicine Program, Arizona College of Osteopathic Medicine, Glendale, Arizona, USA
| | - Jacalynn Goetz
- Doctor of Osteopathic Medicine Program, Arizona College of Osteopathic Medicine, Glendale, Arizona, USA
| | - Varun Padmanaban
- Penn State Department of Neurosurgery, Hershey, Pennsylvania, USA
| | - Christine Mau
- Penn State Department of Neurosurgery, Hershey, Pennsylvania, USA
| | - Derek Tsang
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Fabio Y de Moraes
- Department of Oncology, Division of Radiation Oncology Queen's University, Kingston, Ontario, Canada
| | - Caroline Chung
- Department of Radiation Oncology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
| | - Brad E Zacharia
- Penn State Department of Neurosurgery, Hershey, Pennsylvania, USA; Penn State Cancer Institute, Hershey, Pennsylvania, USA
| | - Alireza Mansouri
- Penn State Department of Neurosurgery, Hershey, Pennsylvania, USA; Penn State Cancer Institute, Hershey, Pennsylvania, USA.
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21
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Hannan CJ, Lewis D, O'Leary C, Donofrio CA, Evans DG, Stapleton E, Freeman SR, Lloyd SK, Rutherford SA, Hammerbeck-Ward C, Brough D, Allan SM, Coope D, King AT, Pathmanaban ON. Beyond Antoni: A Surgeon's Guide to the Vestibular Schwannoma Microenvironment. Skull Base Surg 2020; 83:1-10. [DOI: 10.1055/s-0040-1716688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 07/25/2020] [Indexed: 10/23/2022]
Abstract
Abstract
Introduction Vestibular schwannomas (VS) are histologically benign tumors arising from cranial nerve VIII. Far from a homogenous proliferation of Schwann cells, mounting evidence has highlighted the complex nature of the inflammatory microenvironment in these tumors.
Methods A review of the literature pertaining to inflammation, inflammatory molecular pathways, and immune-related therapeutic targets in VS was performed. Relevant studies published up to June 2020 were identified based on a literature search in the PubMed and MEDLINE databases and the findings were synthesized into a concise narrative review of the topic.
Results The VS microenvironment is characterized by a dense infiltrate of inflammatory cells, particularly macrophages. Significantly higher levels of immune cell infiltration are observed in growing versus static tumors, and there is a demonstrable interplay between inflammation and angiogenesis in growing VS. While further mechanistic studies are required to ascertain the exact role of inflammation in angiogenesis, tumor growth, and Schwann cell control, we are beginning to understand the key molecular pathways driving this inflammatory microenvironment, and how these processes can be monitored and targeted in vivo.
Conclusion Observational research has revealed a complex and heterogeneous tumor microenvironment in VS. The functional landscape and roles of macrophages and other immune cells in the VS inflammatory infiltrate are, however, yet to be established. The antiangiogenic drug bevacizumab has shown the efficacy of targeted molecular therapies in VS and there is hope that agents targeting another major component of the VS microenvironment, inflammation, will also find a place in their future management.
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Affiliation(s)
- Cathal J. Hannan
- Surgical Neuro-Oncology Manchester (SNO-MAN) Laboratory, Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Daniel Lewis
- Surgical Neuro-Oncology Manchester (SNO-MAN) Laboratory, Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
| | - Claire O'Leary
- Surgical Neuro-Oncology Manchester (SNO-MAN) Laboratory, Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Carmine A. Donofrio
- Surgical Neuro-Oncology Manchester (SNO-MAN) Laboratory, Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
| | - Dafydd G. Evans
- Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University Hospitals National Health Service Foundation Trust, Manchester, United Kingdom
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Emma Stapleton
- Department of Otolaryngology, Salford Royal Foundation Trust, Manchester, United Kingdom
- Department of Otolaryngology, Manchester University National Health Service Foundation Trust, Manchester, United Kingdom
| | - Simon R. Freeman
- Department of Otolaryngology, Salford Royal Foundation Trust, Manchester, United Kingdom
- Department of Otolaryngology, Manchester University National Health Service Foundation Trust, Manchester, United Kingdom
| | - Simon K. Lloyd
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
- Department of Otolaryngology, Salford Royal Foundation Trust, Manchester, United Kingdom
- Department of Otolaryngology, Manchester University National Health Service Foundation Trust, Manchester, United Kingdom
| | - Scott A. Rutherford
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
| | - Charlotte Hammerbeck-Ward
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
| | - David Brough
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
- Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Stuart M. Allan
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
- Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - David Coope
- Surgical Neuro-Oncology Manchester (SNO-MAN) Laboratory, Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Andrew T. King
- Surgical Neuro-Oncology Manchester (SNO-MAN) Laboratory, Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Omar N. Pathmanaban
- Surgical Neuro-Oncology Manchester (SNO-MAN) Laboratory, Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester, United Kingdom
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
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22
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Karajannis MA, Hagiwara M, Schreyer M, Haque S. Sustained imaging response and hearing preservation with low-dose bevacizumab in sporadic vestibular schwannoma. Neuro Oncol 2020; 21:822-824. [PMID: 31180122 DOI: 10.1093/neuonc/noz051] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Matthias A Karajannis
- Pediatric Neuro-Oncology Service, Department of Pediatrics, Memorial Sloan Kettering Cancer Center (MSKCC), New York, New York
| | - Mari Hagiwara
- Department of Radiology, NYU Langone Health, New York, New York
| | - Mark Schreyer
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sofia Haque
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
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23
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Turco S, El Kaffas A, Zhou J, Lutz AM, Wijkstra H, Willmann JK, Mischi M. Pharmacokinetic Modeling of Targeted Ultrasound Contrast Agents for Quantitative Assessment of Anti-Angiogenic Therapy: a Longitudinal Case-Control Study in Colon Cancer. Mol Imaging Biol 2020; 21:633-643. [PMID: 30225758 PMCID: PMC6616210 DOI: 10.1007/s11307-018-1274-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE To evaluate quantitative and semi-quantitative ultrasound molecular imaging (USMI) for antiangiogenic therapy monitoring in human colon cancer xenografts in mice. PROCEDURES Colon cancer was established in 17 mice by injection of LS174T (Nr = 9) or CT26 (Nn = 8) cancer cells to simulate clinical responders and non-responders, respectively. Antiangiogenic treatment (bevacizumab; Nrt = Nnt = 5) or control treatment (saline; Nrc = 4, Nnc = 3) was administered at days 0, 3, and 7. Three-dimensional USMI was performed by injection at days 0, 1, 3, 7, and 10 of microbubbles targeted to the vascular endothelial growth factor receptor 2 (VEGFR2). Microbubble binding rate (kb), estimated by first-pass binding model fitting, and semi-quantitative parameters late enhancement (LE) and differential targeted enhancement (dTE) were compared at each day to evaluate their ability to assess and predict the response to therapy. Correlation analysis with the ex-vivo immunohistological quantification of VEGFR2 expression and the percentage blood vessel area was also performed. RESULTS Significant changes in the USMI parameters during treatment were observed only in the responders treated with bevacizumab (p-value < 0.05). Prediction of the response to therapy as early as 1 day after treatment was achieved by the quantitative parameter kb (p-value < 0.01), earlier than possible by tumor volume quantification. USMI parameters could significantly distinguish between clinical responders and non-responders (p-value << 0.01) and correlated well with the ex-vivo quantification of VEGFR2 expression and the percentage blood vessels area (p-value << 0.01). CONCLUSION USMI (semi)quantitative parameters provide earlier assessment of the response to therapy compared to tumor volume, permit early prediction of non-responders, and correlate well with ex-vivo angiogenesis biomarkers.
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Affiliation(s)
- Simona Turco
- Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AZ, Eindhoven, The Netherlands.
| | - Ahmed El Kaffas
- Department of Radiology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Jianhua Zhou
- Department of Ultrasound, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Amelie M Lutz
- Department of Radiology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Hessel Wijkstra
- Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AZ, Eindhoven, The Netherlands
- Department of Urology, Academic Medical Center, 1105 AZ, Amsterdam, The Netherlands
| | - Jürgen K Willmann
- Department of Radiology, Stanford Medicine, Stanford, CA, 94305, USA
| | - Massimo Mischi
- Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AZ, Eindhoven, The Netherlands
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24
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Hannan CJ, Lewis D, O'Leary C, Donofrio CA, Evans DG, Roncaroli F, Brough D, King AT, Coope D, Pathmanaban ON. The inflammatory microenvironment in vestibular schwannoma. Neurooncol Adv 2020; 2:vdaa023. [PMID: 32642684 PMCID: PMC7212860 DOI: 10.1093/noajnl/vdaa023] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Vestibular schwannomas are tumors arising from the vestibulocochlear nerve at the cerebellopontine angle. Their proximity to eloquent brainstem structures means that the pathology itself and the treatment thereof can be associated with significant morbidity. The vast majority of these tumors are sporadic, with the remainder arising as a result of the genetic syndrome Neurofibromatosis Type 2 or, more rarely, LZTR1-related schwannomatosis. The natural history of these tumors is extremely variable, with some tumors not displaying any evidence of growth, others demonstrating early, persistent growth and a small number growing following an extended period of indolence. Emerging evidence now suggests that far from representing Schwann cell proliferation only, the tumor microenvironment is complex, with inflammation proposed to play a key role in their growth. In this review, we provide an overview of this new evidence, including the role played by immune cell infiltration, the underlying molecular pathways involved, and biomarkers for detecting this inflammation in vivo. Given the limitations of current treatments, there is a pressing need for novel therapies to aid in the management of this condition, and we conclude by proposing areas for future research that could lead to the development of therapies targeted toward inflammation in vestibular schwannoma.
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Affiliation(s)
- Cathal John Hannan
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Division of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK.,Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Daniel Lewis
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Claire O'Leary
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Carmine A Donofrio
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Dafydd Gareth Evans
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals National Health Service Foundation Trust, Manchester, UK.,Division of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Federico Roncaroli
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - David Brough
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Andrew Thomas King
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - David Coope
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Omar Nathan Pathmanaban
- Manchester Centre for Clinical Neurosciences, Salford Royal Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
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Yan S, Wang Q, Huo Z, Yang T, Yin X, Wang Z, Zhang Z, Wu H. Gene expression profiles between cystic and solid vestibular schwannoma indicate susceptible molecules and pathways in the cystic formation of vestibular schwannoma. Funct Integr Genomics 2019; 19:673-684. [PMID: 30953268 PMCID: PMC6570702 DOI: 10.1007/s10142-019-00672-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 02/22/2019] [Accepted: 03/06/2019] [Indexed: 12/29/2022]
Abstract
Previous research has shown that although NF2 gene mutation is the major cause of vestibular schwannoma (VS), it may not directly participate in cystic VS (CVS). To elucidate the underlying potential genetic mechanisms in the cystic formation of VS, we compared differences in gene expression between solid VS (SVS) and CVS via a bioinformatics analysis. The cDNA microarray method and miRNA sequencing were performed on 29 representative VSs (17 CVSs and 12 SVSs). A differential expression analysis was used to identify differentially expressed mRNAs (DEmRNAs) and miRNAs (DEmiRNAs). Then, miRNA-mRNA regulatory networks were constructed. Gene ontology (GO), a KEGG pathway enrichment analysis, and the protein-protein interaction (PPI) were used to analyze the co-differentially expressed DEmRNAs at the functional level. From the differential expression analyses, 1304 DEmRNAs, 55 DEmiRNAs, and hub genes including PTEN, FOXO1, FOXO3, VEGFA, and SIRT1 were identified. Histological evidence is presented to confirm the makeup of the hubs, which corresponded with the cDNA microarray. Our analysis revealed that the maps of apoptosis, cellular response to hypoxia, and the PI3K-Akt, AMPK, FOXO, and chemokine signaling pathways were significantly enriched. In addition, the TUNEL assay, immunoblotting analysis, and transmission electron microscope revealed increased degenerative changes in CVS. These findings could be the foundation for understanding the potential role of differential genes in the cystic formation of VS and be helpful in exploring the potential biomarkers for the differential diagnosis, prognosis, and development of drug targets for CVS.
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Affiliation(s)
- Shuang Yan
- Department of Otorhinolaryngology, Head & Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Quan Wang
- Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China.,Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zirong Huo
- Department of Otorhinolaryngology, Head & Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Tao Yang
- Department of Otorhinolaryngology, Head & Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Xiaoling Yin
- Department of Otorhinolaryngology, Head & Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Zhaoyan Wang
- Department of Otorhinolaryngology, Head & Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China
| | - Zhihua Zhang
- Department of Otorhinolaryngology, Head & Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. .,Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China. .,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China.
| | - Hao Wu
- Department of Otorhinolaryngology, Head & Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. .,Ear Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China. .,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases, Shanghai, China.
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26
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Lewis D, Roncaroli F, Agushi E, Mosses D, Williams R, Li KL, Zhu X, Hinz R, Atkinson R, Wadeson A, Hulme S, Mayers H, Stapleton E, Lloyd SKL, Freeman SR, Rutherford SA, Hammerbeck-Ward C, Evans DG, Pathmanaban O, Jackson A, King AT, Coope DJ. Inflammation and vascular permeability correlate with growth in sporadic vestibular schwannoma. Neuro Oncol 2019; 21:314-325. [PMID: 30388263 PMCID: PMC6380424 DOI: 10.1093/neuonc/noy177] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Inflammation is hypothesized to be a key event in the growth of sporadic vestibular schwannoma (VS). In this study we sought to investigate the relationship between inflammation and tumor growth in vivo using the PET tracer 11C-(R)-PK11195 and dynamic contrast enhanced (DCE) MRI derived vascular biomarkers. METHODS Nineteen patients with sporadic VS (8 static, 7 growing, and 4 shrinking tumors) underwent prospective imaging with dynamic 11C-(R)-PK11195 PET and a comprehensive MR protocol, including high temporal resolution DCE-MRI in 15 patients. An intertumor comparison of 11C-(R)-PK11195 binding potential (BPND) and DCE-MRI derived vascular biomarkers (Ktrans, vp, ve) across the 3 different tumor growth cohorts was undertaken. Tissue of 8 tumors was examined with immunohistochemistry markers for inflammation (Iba1), neoplastic cells (S-100 protein), vessels (CD31), the PK11195 target translocator protein (TSPO), fibrinogen for vascular permeability, and proliferation (Ki-67). Results were correlated with PET and DCE-MRI data. RESULTS Compared with static tumors, growing VS displayed significantly higher mean 11C-(R)-PK11195 BPND (-0.07 vs 0.47, P = 0.020), and higher mean tumor Ktrans (0.06 vs 0.14, P = 0.004). Immunohistochemistry confirmed the imaging findings and demonstrated that TSPO is predominantly expressed in macrophages. Within growing VS, macrophages rather than tumor cells accounted for the majority of proliferating cells. CONCLUSION We present the first in vivo imaging evidence of increased inflammation within growing sporadic VS. Our results demonstrate that 11C-(R)-PK11195 specific binding and DCE-MRI derived parameters can be used as imaging biomarkers of inflammation and vascular permeability in this tumor group.
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Affiliation(s)
- Daniel Lewis
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Wolfson Molecular Imaging Centre, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Federico Roncaroli
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Erjon Agushi
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Wolfson Molecular Imaging Centre, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Dominic Mosses
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Ricky Williams
- Brain Tumour Biobank, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Ka-loh Li
- Wolfson Molecular Imaging Centre, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Xiaoping Zhu
- Wolfson Molecular Imaging Centre, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Rainer Hinz
- Wolfson Molecular Imaging Centre, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Ross Atkinson
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Andrea Wadeson
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sharon Hulme
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Helen Mayers
- Department of Cellular Pathology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Emma Stapleton
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Simon K L Lloyd
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Simon R Freeman
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Scott A Rutherford
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Charlotte Hammerbeck-Ward
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals National Health Service Foundation Trust and Manchester Academic Health Science Centre, Manchester, UK
| | - Omar Pathmanaban
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Alan Jackson
- Wolfson Molecular Imaging Centre, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | - Andrew T King
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Manchester Skull Base Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - David J Coope
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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27
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Li KL, Lewis D, Jackson A, Zhao S, Zhu X. Low-dose T1W DCE-MRI for early time points perfusion measurement in patients with intracranial tumors: A pilot study applying the microsphere model to measure absolute cerebral blood flow. J Magn Reson Imaging 2018; 48:543-557. [PMID: 29473980 DOI: 10.1002/jmri.25979] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 01/30/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Previous studies have measured cerebral blood flow (CBF) with DSC-MRI using an "early time points" (ET) method based on microsphere theory. PURPOSE To develop and assess a new ET method for absolute CBF estimation using low-dose high-temporal (LDHT) T1W-DCE-MRI. STUDY TYPE Retrospective cohort study. SUBJECTS Seven patients with sporadic vestibular schwannoma (VS) who underwent test-retest imaging; one patient with glioblastoma multiforme (GBM) imaged pretreatment; and 12 neurofibromatosis type 2 (NF2) patients undergoing bevacizumab treatment, imaged pre- and 90 days posttreatment. FIELD STRENGTH/SEQUENCE LDHT-DCE-MRI was performed at 1.5 and 3.0T, using 3D spoiled gradient echo with phase cycling. DSC-MRI performed in one patient, using 3D echo-shifted multi-shot echo-planar imaging (PRESTO) at 3T. ASSESSMENT Through Monte Carlo simulations, CBF estimation using three newly developed average contrast agent concentration (AC) -based methods (ACrPK, ACrMG, ACcomb), was compared against conventional maximum gradient (MG) approaches, at varying Rician noise levels. Reproducibility and applicability of the ACcomb method was assessed in our sporadic-VS/GBM/NF2 patient cohort, respectively. STATISTICAL TESTS Reproducibility was measured using test-retest coefficient of variation (CoV). Pre- and posttreatment CBF values were compared using paired t-test with Bonferroni correction. RESULTS Monte Carlo stimulations demonstrated that AC-based methods, particularly ACcomb, offered superior accuracy to conventional MG approaches. Overall test-retest CoV using the ACcomb method was 5.76 in normal-appearing white matter (NAWM). The new ACcomb method produced gray matter/white matter CBF estimates in the NF2 patient cohort of 55.9 ± 13.9/25.8 ± 3.5 on day 0; compared with 155.6 ± 17.2/128.4 ± 29.1 for the classical MG method. There was a moderate (10% using ACcomb and ACrPK) increase in CBF of NAWM 90 days post therapy (P = 0.03 and 0.005). DATA CONCLUSION Our new AC-based method of CBF estimation offers excellent reproducibility, and displays more accuracy in both Monte Carlo analysis and clinical data application, than conventional MG-based approaches. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 4 J. MAGN. RESON. IMAGING 2018;48:543-557.
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Affiliation(s)
- Ka-Loh Li
- Division of Informatics, Imaging and Data Science, The University of Manchester, 27 Palatine Road, Manchester, United Kingdom
| | - Daniel Lewis
- Division of Informatics, Imaging and Data Science, The University of Manchester, 27 Palatine Road, Manchester, United Kingdom
- Department of Neurosurgery, Salford Royal NHS Foundation Trust, Scott Lane, Salford, Manchester, United Kingdom
| | - Alan Jackson
- Division of Informatics, Imaging and Data Science, The University of Manchester, 27 Palatine Road, Manchester, United Kingdom
| | - Sha Zhao
- Division of Informatics, Imaging and Data Science, The University of Manchester, 27 Palatine Road, Manchester, United Kingdom
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Science, The University of Manchester, 27 Palatine Road, Manchester, United Kingdom
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28
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Sass H, Cayé-Thomasen P. Contemporary Molecular Biology of Sporadic Vestibular Schwannomas: A Systematic Review and Clinical Implications. J Int Adv Otol 2018; 14:322-329. [PMID: 30100540 PMCID: PMC6354447 DOI: 10.5152/iao.2018.4929] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 05/30/2018] [Accepted: 06/04/2018] [Indexed: 12/31/2022] Open
Abstract
In light of missing systematic reviews in the literature, the objective of this paper is to present the contemporary knowledge on the molecular biology of vestibular schwannomas (VS), based on a systematic literature search. In addition, current and prospected medical therapy based on molecular biology is addressed. A systematic literature search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The systematic search was performed in the Pubmed and Embase databases. The following were the words searched: acoustic neuroma/vestibular schwannoma, molecular biology, gene, and microRNA. Specific inclusion and exclusion criteria were determined prior to search. The systematic search rendered 486 articles, ultimately yielding 69 included articles, whereas 35 were from relevant references. The occurrence of at least one mutation in the merlin gene was reported to range between 54% and 76%, whereas the loss of heterozygosity (LOH) corresponding to chromosome 22 occurs in 25% to 83% of sporadic VS. Global gene expression studies indicate that a number of genes other than merlin are at play. No high-level methylation of the merlin gene has been found. Several miRNAs are deregulated in tumor tissue, among others let-7d, miR-221, and miR-21. The acquired knowledge on molecular biology has led to several clinical implementations. Lack of the tumor suppressor merlin plays a principal role in the development of VS. Existing knowledge on the molecular biology has led to the first attempts of targeted medical treatment to prevent tumor growth. Future research is likely to introduce potential imaging markers with prognostic value and new targets for medical therapy.
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Affiliation(s)
- Hjalte Sass
- Department of Otorhinolaryngology, Head and Neck Surgery and Audiology, Copenhagen University Hospital, Copenhagen, Denmark; University of Copenhagen, School of Health and Medical Sciences, Copenhagen, Denmark
| | - Per Cayé-Thomasen
- Department of Otorhinolaryngology, Head and Neck Surgery and Audiology, Copenhagen University Hospital, Copenhagen, Denmark; University of Copenhagen, School of Health and Medical Sciences, Copenhagen, Denmark
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29
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Li K, Zhu X, Zhao S, Jackson A. Blood-brain barrier permeability of normal-appearing white matter in patients with vestibular schwannoma: A new hybrid approach for analysis of T 1 -W DCE-MRI. J Magn Reson Imaging 2017; 46:79-93. [PMID: 28117925 PMCID: PMC5484377 DOI: 10.1002/jmri.25573] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 11/15/2016] [Indexed: 12/21/2022] Open
Abstract
PURPOSE To develop and assess a "hybrid" method that combines a first-pass analytical approach and the Patlak plot (PP) to improve assessment of low blood-brain barrier permeability from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) data. MATERIALS AND METHODS Seven patients with vestibular schwannoma were enrolled. T1 -W DCE imaging was acquired on a 1.5T scanner. Normal-appearing white matter (NAWM) was divided into four regions of interest (ROIs) based on the magnitude of changes in longitudinal relaxation rate (ΔR1) after gadolinium administration. Kinetic analysis of ROI-averaged contrast agent concentration curves was performed using both the conventional PP and the hybrid method. Computer simulated uptake curves that resemble those from NAWM were analyzed with both methods. Percent deviations (PD) of the "measured" values from the "true" values were calculated to evaluate accuracy and precision of the two methods. RESULTS The simulation showed that, at a noise level of 4% (a noise level similar to the in vivo data) and using a signal intensity (SI) averaging scheme, the new hybrid method achieved a PD of 0.9 ± 2.7% for vp , and a PD of -5.4 ± 5.9% for Ktrans . In comparison, the PP method obtained a PD of 3.6 ± 11.3% for vp , and -8.3 ± 12.8% for Ktrans . One-way analyses of variance (ANOVAs) showed significant variations from the four WM regions (P < 10-15 for ΔR1; P < 10-6 for Ktrans ; P < 10-4 for vp ). CONCLUSION Both computer simulation and in vivo studies demonstrate improved reliability in vp and Ktrans estimates with the hybrid method. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:79-93.
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Affiliation(s)
- Ka‐Loh Li
- Division of Informatics, Imaging and Data SciencesUniversity of ManchesterManchesterUK
- CRUK and EPSRC Cancer Imaging Centre in Cambridge and ManchesterManchesterUK
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data SciencesUniversity of ManchesterManchesterUK
- CRUK and EPSRC Cancer Imaging Centre in Cambridge and ManchesterManchesterUK
| | - Sha Zhao
- Division of Informatics, Imaging and Data SciencesUniversity of ManchesterManchesterUK
- CRUK and EPSRC Cancer Imaging Centre in Cambridge and ManchesterManchesterUK
| | - Alan Jackson
- Division of Informatics, Imaging and Data SciencesUniversity of ManchesterManchesterUK
- CRUK and EPSRC Cancer Imaging Centre in Cambridge and ManchesterManchesterUK
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30
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Karmakar S, Reilly KM. The role of the immune system in neurofibromatosis type 1-associated nervous system tumors. CNS Oncol 2016; 6:45-60. [PMID: 28001089 DOI: 10.2217/cns-2016-0024] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
With the recent development of new anticancer therapies targeting the immune system, it is important to understand which immune cell types and cytokines play critical roles in suppressing or promoting tumorigenesis. The role of mast cells in promoting neurofibroma growth in neurofibromatosis type 1 (NF1) patients was hypothesized decades ago. More recent experiments in mouse models have demonstrated the causal role of mast cells in neurofibroma development and of microglia in optic pathway glioma development. We review here what is known about the role of NF1 mutation in immune cell function and the role of immune cells in promoting tumorigenesis in NF1. We also review the therapies targeting immune cell pathways and their promise in NF1 tumors.
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Affiliation(s)
- Souvik Karmakar
- Rare Tumors Initiative, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 37 Convent Dr, Bethesda, MD 20814, USA
| | - Karlyne M Reilly
- Rare Tumors Initiative, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 37 Convent Dr, Bethesda, MD 20814, USA
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31
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Blakeley JO, Ye X, Duda DG, Halpin CF, Bergner AL, Muzikansky A, Merker VL, Gerstner ER, Fayad LM, Ahlawat S, Jacobs MA, Jain RK, Zalewski C, Dombi E, Widemann BC, Plotkin SR. Efficacy and Biomarker Study of Bevacizumab for Hearing Loss Resulting From Neurofibromatosis Type 2-Associated Vestibular Schwannomas. J Clin Oncol 2016; 34:1669-75. [PMID: 26976425 DOI: 10.1200/jco.2015.64.3817] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Neurofibromatosis type 2 (NF2) is a tumor predisposition syndrome characterized by bilateral vestibular schwannomas (VSs) resulting in deafness and brainstem compression. This study evaluated efficacy and biomarkers of bevacizumab activity for NF2-associated progressive and symptomatic VSs. PATIENTS AND METHODS Bevacizumab 7.5 mg/kg was administered every 3 weeks for 46 weeks, followed by 24 weeks of surveillance after treatment with the drug. The primary end point was hearing response defined by word recognition score (WRS). Secondary end points included toxicity, tolerability, imaging response using volumetric magnetic resonance imaging analysis, durability of response, and imaging and blood biomarkers. RESULTS Fourteen patients (estimated to yield > 90% power to detect an alternative response rate of 50% at alpha level of 0.05) with NF2, with a median age of 30 years (range, 14 to 79 years) and progressive hearing loss in the target ear (median baseline WRS, 60%; range 13% to 82%), were enrolled. The primary end point, confirmed hearing response (improvement maintained ≥ 3 months), occurred in five (36%) of 14 patients (95% CI, 13% to 65%; P < .001). Eight (57%) of 14 patients had transient hearing improvement above the 95% CI for WRS. No patients experienced hearing decline. Radiographic response was seen in six (43%) of 14 target VSs. Three grade 3 adverse events, hypertension (n = 2) and immune-mediated thrombocytopenic purpura (n = 1), were possibly related to bevacizumab. Bevacizumab treatment was associated with decreased free vascular endothelial growth factor (not bound to bevacizumab) and increased placental growth factor in plasma. Hearing responses were inversely associated with baseline plasma hepatocyte growth factor (P = .019). Imaging responses were associated with high baseline tumor vessel permeability and elevated blood levels of vascular endothelial growth factor D and stromal cell-derived factor 1α (P = .037 and .025, respectively). CONCLUSION Bevacizumab treatment resulted in durable hearing response in 36% of patients with NF2 and confirmed progressive VS-associated hearing loss. Imaging and plasma biomarkers showed promising associations with response that should be validated in larger studies.
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Affiliation(s)
- Jaishri O Blakeley
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA.
| | - Xiaobu Ye
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Dan G Duda
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Chris F Halpin
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Amanda L Bergner
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Alona Muzikansky
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Vanessa L Merker
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Elizabeth R Gerstner
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Laura M Fayad
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Shivani Ahlawat
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Michael A Jacobs
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Rakesh K Jain
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Christopher Zalewski
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Eva Dombi
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Brigitte C Widemann
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Scott R Plotkin
- Jaishri O. Blakeley, Xiaobu Ye, Amanda L. Bergner, Laura M. Fayad, Shivani Ahlawat, and Michael A. Jacobs, Johns Hopkins University, Baltimore; Christopher Zalewski, National Institute on Deafness and Other Communication Disorders; Eva Dombi and Brigitte C. Widemann, National Cancer Institute, Bethesda, MD; Dan G. Duda, Alona Muzikansky, Vanessa L. Merker, Elizabeth R. Gerstner, Rakesh K. Jain, and Scott R. Plotkin, Massachusetts General Hospital; and Chris F. Halpin, Massachusetts Eye and Ear Infirmary, Boston, MA
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