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Siebenga FF, van der Weide HL, Gelmers F, Rakers SE, Kramer MCA, van der Hoorn A, Enting RH, Bosma I, Groen RJM, Jeltema HR, Wagemakers M, Spikman JM, Buunk AM. Emotion recognition in relation to tumor characteristics in patients with low-grade glioma. Neuro Oncol 2024; 26:528-537. [PMID: 37904541 PMCID: PMC10912004 DOI: 10.1093/neuonc/noad209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Patients with low-grade gliomas (LGG) treated with surgery, generally function well and have a favorable prognosis. However, LGG can affect neurocognitive functioning. To date, little is known about social cognition (SC) in these patients, although impaired SC is related to social-behavioral problems and poor societal participation. Frontal brain areas are important for SC and LGG frequently have a frontal location. Therefore, the aim of the present study was to investigate whether emotion recognition, a key component of SC, was impaired, and related to general cognition, tumor location, laterality, tumor volume, and histopathological characteristics in patients with LGG, postsurgery, and before start of adjuvant therapy. METHODS A total of 121 patients with LGG were matched with 169 healthy controls (HC). Tumor location [including (frontal) subregions; insula, anterior cingulate cortex, lateral prefrontal cortex (LPFC), orbitofrontal-ventromedial PFC] and tumor volume were determined on MRI scans. Emotion recognition was measured with the Ekman 60 faces test of the Facial Expressions of Emotion-Stimuli and Tests (FEEST). RESULTS Patients with LGG performed significantly lower on the FEEST than HC, with 33.1% showing impairment compared to norm data. Emotion recognition was not significantly correlated to frontal tumor location, laterality, and histopathological characteristics, and significantly but weakly with general cognition and tumor volume. CONCLUSIONS Emotion recognition is impaired in patients with LGG but not (strongly) related to specific tumor characteristics or general cognition. Hence, measuring SC with individual neuropsychological assessment of these patients is crucial, irrespective of tumor characteristics, to inform clinicians about possible impairments, and consequently offer appropriate care.
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Affiliation(s)
- Femke F Siebenga
- Department of Neurology, Unit of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Hiska L van der Weide
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Floor Gelmers
- Department of Neurology, Unit of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sandra E Rakers
- Department of Neurology, Unit of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Miranda C A Kramer
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anouk van der Hoorn
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Roelien H Enting
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ingeborg Bosma
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rob J M Groen
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen
- Department of Neurosurgery, Faculty of Medicine Universitas Airlangga, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia
| | - Hanne-Rinck Jeltema
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen
| | - Jacoba M Spikman
- Department of Neurology, Unit of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anne M Buunk
- Department of Neurology, Unit of Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Buunk AM, Spikman JM, Wagemakers M, Jeltema JR, de Vries J, Mazuri A, Uyttenboogaart M, Groen RJM. The vanishing of the ACoA syndrome after aneurysmal subarachnoid haemorrhage: New era, different management, fewer problems? J Neuropsychol 2024; 18 Suppl 1:142-157. [PMID: 37902411 DOI: 10.1111/jnp.12352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/31/2023]
Abstract
Historically, a specific set of symptoms has been related to the rupture and repair of anterior communicating artery (ACoA) aneurysms. These consequences were defined as the 'ACoA syndrome' and included observations of severe memory loss, confabulation and personality or behavioural changes. These observations correspond to neuropsychological impairments in memory, executive functions and social cognition. However, in more recent studies, the existence of such a distinct syndrome has been called into question. We aimed to investigate the existence of the ACoA syndrome, by combining analysis of our own data with a systematic review of the literature. Memory, executive functions and social cognition of subarachnoid haemorrhage patients with ACoA aneurysms (N = 28) were compared to patients with aneurysms in other locations (N = 66). Results showed no significant differences. Subsequently, a systematic review of the existing literature on the ACoA syndrome was performed using Embase and PubMed until October 2022. Studies that investigated cognitive functions after rupture and repair of ACoA aneurysms were included. The search yielded 847 unique entries and after screening titles and abstracts, 648 records were excluded. 199 full-text articles were assessed for eligibility and 55 articles were included. Evidence was found for the ACoA syndrome in studies between 1960 and 2000, with impairments in memory and executive problems in the majority of studies. However, the majority of studies from 2000 did not demonstrate a distinct ACoA syndrome, although neuropsychological measurements improved. This coincides with the changes in the management of ACoA aneurysms over the past decades, such as the emergence of endovascular treatment and improvement of neurointensive care. Therefore, we hypothesize that the management techniques of ACoA aneurysms until around 2000, i.e. mainly conventional clipping, could be related to the presence of symptoms of the ACoA syndrome.
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Affiliation(s)
- A M Buunk
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J M Spikman
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J R Jeltema
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J de Vries
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - A Mazuri
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M Uyttenboogaart
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - R J M Groen
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Neurosurgery, Faculty of Medicine Universitas Airlangga, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia
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3
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Pemberton HG, Wu J, Kommers I, Müller DMJ, Hu Y, Goodkin O, Vos SB, Bisdas S, Robe PA, Ardon H, Bello L, Rossi M, Sciortino T, Nibali MC, Berger MS, Hervey-Jumper SL, Bouwknegt W, Van den Brink WA, Furtner J, Han SJ, Idema AJS, Kiesel B, Widhalm G, Kloet A, Wagemakers M, Zwinderman AH, Krieg SM, Mandonnet E, Prados F, de Witt Hamer P, Barkhof F, Eijgelaar RS. Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms. Sci Rep 2023; 13:18911. [PMID: 37919354 PMCID: PMC10622563 DOI: 10.1038/s41598-023-44794-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/12/2023] [Indexed: 11/04/2023] Open
Abstract
This study tests the generalisability of three Brain Tumor Segmentation (BraTS) challenge models using a multi-center dataset of varying image quality and incomplete MRI datasets. In this retrospective study, DeepMedic, no-new-Unet (nn-Unet), and NVIDIA-net (nv-Net) were trained and tested using manual segmentations from preoperative MRI of glioblastoma (GBM) and low-grade gliomas (LGG) from the BraTS 2021 dataset (1251 in total), in addition to 275 GBM and 205 LGG acquired clinically across 12 hospitals worldwide. Data was split into 80% training, 5% validation, and 15% internal test data. An additional external test-set of 158 GBM and 69 LGG was used to assess generalisability to other hospitals' data. All models' median Dice similarity coefficient (DSC) for both test sets were within, or higher than, previously reported human inter-rater agreement (range of 0.74-0.85). For both test sets, nn-Unet achieved the highest DSC (internal = 0.86, external = 0.93) and the lowest Hausdorff distances (10.07, 13.87 mm, respectively) for all tumor classes (p < 0.001). By applying Sparsified training, missing MRI sequences did not statistically affect the performance. nn-Unet achieves accurate segmentations in clinical settings even in the presence of incomplete MRI datasets. This facilitates future clinical adoption of automated glioma segmentation, which could help inform treatment planning and glioma monitoring.
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Affiliation(s)
- Hugh G Pemberton
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jiaming Wu
- Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Ivar Kommers
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Domenique M J Müller
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Yipeng Hu
- Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Olivia Goodkin
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sjoerd B Vos
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sotirios Bisdas
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Pierre A Robe
- Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, St. Elisabeth Hospital, Tilburg, The Netherlands
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Marco Rossi
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Tommaso Sciortino
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Marco Conti Nibali
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Wim Bouwknegt
- Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, The Netherlands
| | | | - Julia Furtner
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria
| | - Seunggu J Han
- Department of Neurological Surgery, Stanford University, Stanford, USA
| | - Albert J S Idema
- Department of Neurosurgery, Northwest Clinics, Alkmaar, The Netherlands
| | - Barbara Kiesel
- Department of Neurosurgery, Medical University Vienna, Vienna, Austria
| | - Georg Widhalm
- Department of Neurosurgery, Medical University Vienna, Vienna, Austria
| | - Alfred Kloet
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, The Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Aeilko H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, The Netherlands
| | - Sandro M Krieg
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | | | - Ferran Prados
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Institute of Neurology, University College London, London, UK
- e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Philip de Witt Hamer
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
- Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Roelant S Eijgelaar
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
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Helland RH, Ferles A, Pedersen A, Kommers I, Ardon H, Barkhof F, Bello L, Berger MS, Dunås T, Nibali MC, Furtner J, Hervey-Jumper S, Idema AJS, Kiesel B, Tewari RN, Mandonnet E, Müller DMJ, Robe PA, Rossi M, Sagberg LM, Sciortino T, Aalders T, Wagemakers M, Widhalm G, Witte MG, Zwinderman AH, Majewska PL, Jakola AS, Solheim O, Hamer PCDW, Reinertsen I, Eijgelaar RS, Bouget D. Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks. Sci Rep 2023; 13:18897. [PMID: 37919325 PMCID: PMC10622432 DOI: 10.1038/s41598-023-45456-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023] Open
Abstract
Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The current standard method for estimating it is subject to high inter- and intra-rater variability, and an automated method for segmentation of residual tumor in early post-operative MRI could lead to a more accurate estimation of extent of resection. In this study, two state-of-the-art neural network architectures for pre-operative segmentation were trained for the task. The models were extensively validated on a multicenter dataset with nearly 1000 patients, from 12 hospitals in Europe and the United States. The best performance achieved was a 61% Dice score, and the best classification performance was about 80% balanced accuracy, with a demonstrated ability to generalize across hospitals. In addition, the segmentation performance of the best models was on par with human expert raters. The predicted segmentations can be used to accurately classify the patients into those with residual tumor, and those with gross total resection.
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Affiliation(s)
- Ragnhild Holden Helland
- Department of Health Research, SINTEF Digital, 7465, Trondheim, Norway.
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway.
| | - Alexandros Ferles
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands
| | - André Pedersen
- Department of Health Research, SINTEF Digital, 7465, Trondheim, Norway
| | - Ivar Kommers
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV, Amsterdam, The Netherlands
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, Twee Steden Hospital, 5042 AD, Tilburg, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, WC1E 6BT, UK
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122, Milan, Italy
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Tora Dunås
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30, Gothenburg, Sweden
| | | | - Julia Furtner
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, 1090, Vienna, Austria
- Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, 3500, Krems, Austria
| | - Shawn Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Albert J S Idema
- Department of Neurosurgery, Northwest Clinics, 1815 JD, Alkmaar, The Netherlands
| | - Barbara Kiesel
- Department of Neurosurgery, Medical University Vienna, 1090, Vienna, Austria
| | - Rishi Nandoe Tewari
- Department of Neurosurgery, Haaglanden Medical Center, 2512 VA, The Hague, The Netherlands
| | - Emmanuel Mandonnet
- Department of Neurological Surgery, Hôpital Lariboisière, 75010, Paris, France
| | - Domenique M J Müller
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV, Amsterdam, The Netherlands
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands
| | - Pierre A Robe
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Marco Rossi
- Department of Medical Biotechnology and Translational Medicine, Università Degli Studi di Milano, 20122, Milan, Italy
| | - Lisa M Sagberg
- Department of Neurosurgery, St. Olavs hospital, Trondheim University Hospital, 7030, Trondheim, Norway
- Department of Public Health and Nursing, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | | | - Tom Aalders
- Department of Neurosurgery, Isala, 8025 AB, Zwolle, The Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, 9713 GZ, Groningen, The Netherlands
| | - Georg Widhalm
- Department of Neurosurgery, Medical University Vienna, 1090, Vienna, Austria
| | - Marnix G Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, The Netherlands
| | - Aeilko H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Paulina L Majewska
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Asgeir S Jakola
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30, Gothenburg, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Ole Solheim
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491, Trondheim, Norway
| | - Philip C De Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV, Amsterdam, The Netherlands
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands
| | - Ingerid Reinertsen
- Department of Health Research, SINTEF Digital, 7465, Trondheim, Norway
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway
| | - Roelant S Eijgelaar
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV, Amsterdam, The Netherlands
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV, Amsterdam, The Netherlands
| | - David Bouget
- Department of Health Research, SINTEF Digital, 7465, Trondheim, Norway
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Buunk AM, Gerritsen MJJ, Jeltema HR, Wagemakers M, Metzemaekers JDM, Groen RJM, Spikman JM. Emotion Recognition in Patients with Low-Grade Glioma before and after Surgery. Brain Sci 2022; 12:brainsci12091259. [PMID: 36138995 PMCID: PMC9497049 DOI: 10.3390/brainsci12091259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 11/29/2022] Open
Abstract
Research on patients with low-grade gliomas (LGGs) showed neurocognitive impairments in various domains. However, social cognition has barely been investigated. Facial emotion recognition is a vital aspect of social cognition, but whether emotion recognition is affected in LGG patients is unclear. Therefore, we aimed to investigate the effect of LGG and resection by examining emotion recognition pre- and postoperatively. Additionally, the relationships among emotion recognition and general cognition and tumor location were investigated. Thirty patients with LGG who underwent resective surgery were included and matched with 63 healthy control participants (HCs). Emotion recognition was measured with the Facial Expressions of Emotion–Stimuli and Tests (FEEST) and general cognition with neuropsychological tests. Correlations and within-group and between-group comparisons were calculated. Before surgery, patients performed significantly worse than the HCs on FEEST-Total and FEEST-Anger. Paired comparisons showed no significant differences between FEEST scores before and post-surgery. No significant correlations with general cognition and tumor location were found. To conclude, the results of this study indicate that the tumor itself contributes significantly to social cognitive dysfunction and that surgery causes no additional deficit. Impairments were not related to general cognitive deficits or tumor location. Consequently, incorporating tests for emotion recognition into the neuropsychological assessment of patients with LGG is important.
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Affiliation(s)
- Anne M. Buunk
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
- Correspondence: ; Tel.: +31-5036-12408; Fax: +31-5036-14227
| | - Marleen J. J. Gerritsen
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
| | - Hanne-Rinck Jeltema
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
| | - Jan D. M. Metzemaekers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
| | - Rob J. M. Groen
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
| | - Jacoba M. Spikman
- Department of Neurology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB Groningen, The Netherlands
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6
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Kommers IO, Eijgelaar RS, Barkhof F, Bouget D, Pedersen A, Ardon H, Bello L, Berger MS, Bouwknegt W, Conti Nibali M, Furtner J, Han SJ, Han SJ, Hervey-Jumper S, Hervey-Jumper S, Idema AJS, Kiesel B, Kloet A, Nandoe Tewarie R, Mandonnet E, Reinertsen I, Robe PA, Rossi M, Sciortino T, Solheim O, van den Brink WA, Vandertop PW, Wagemakers M, Widhalm G, Witte MG, Zwinderman AH, De Witt Hamer PC. P11.37.B When to resect or biopsy for patients with supratentorial glioblastoma: a multivariable prediction model. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
The prospects of a patient with suspected glioblastoma may rely heavily on the indication for surgical resection versus biopsy only. Biopsy percentages vary considerably across hospitals and guidelines for treatment of glioblastoma lack criteria for surgical decision-making. To identify patient and tumor characteristics associated with the decision to resect or biopsy a glioblastoma and to develop and validate a prediction model for decision support.
Material and Methods
Clinical data and pre-operative MRI scans were collected for adults who underwent first-time surgery for supratentorial glioblastoma from a registry-based cohort study of 12 hospitals from the Netherlands, Germany, France, Italy, and the United States between 1st of January 2007 and 31st of December 2011. The main outcome was the type of surgical procedure: surgical resection or biopsy only. Predictors were patient- and tumor-related characteristics. Radiological factors were extracted from MRI using an automated tumor segmentation method. A prediction model was constructed using multivariable logistic regression analysis. The model was cross-validated and externally validated with a leave-one-hospital-out approach.
Results
Out of 1053 patients treated for glioblastoma, 28% underwent biopsy only. Biopsy rates varied from 15-40% across hospitals. The prediction model showed excellent discrimination with an average area under the curve of 0.86. Of the patient-related characteristics, younger age was associated more with resection and Karnofsky Performance Score of 60 or less with biopsy. Of the tumor-related characteristics, a location in the right hemisphere, unifocality, no tumor midline crossing, and no involvement of the cortical spinal tract, were associated with resection, as well as a high expected resectability index, a location in the right occipital lobe, and a higher percentage of tumor in Schaefer’s dorsal or ventral attention, limbic, and default networks. External validation proved acceptable to outstanding discrimination with areas under the curve ranging between 0.79 and 0.92 for hospitals.
Conclusion
A prediction model is presented and validated to support the decision to resect or to biopsy a patient with a suspected supratentorial glioblastoma. In this prediction model, tumor-related characteristics were more informative than patient-related factors. This may support surgical decision-making for individual patients, or facilitate comparisons of patient cohorts between surgeons or institutions.
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Affiliation(s)
- I O Kommers
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit , Amsterdam , Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers , Amsterdam , Netherlands
| | - R S Eijgelaar
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit , Amsterdam , Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers , Amsterdam , Netherlands
| | - F Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit , Amsterdam , Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London , London , United Kingdom
| | - D Bouget
- Department of Health Research, SINTEF Digital , Trondheim , Norway
| | - A Pedersen
- Department of Health Research, SINTEF Digital , Trondheim , Norway
| | - H Ardon
- Department of Neurosurgery, Twee Steden Hospital , Tilburg , Netherlands
| | - L Bello
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano , Milano , Italy
| | - M S Berger
- Department of Neurological Surgery, University of California San Francisco , San Fransisco, CA , United States
| | - W Bouwknegt
- Medische Kliniek Velsen , Velsen , Netherlands
| | - M Conti Nibali
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano , Milano , Italy
| | - J Furtner
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna , Wien , Austria
| | - S J Han
- Department of Neurological Surgery, Oregon Health & Science University , Portland, OR , United States
| | - S J Han
- Department of Neurological Surgery, Oregon Health & Science University , Portland, OR , United States
| | - S Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco , San Fransisco, CA , United States
| | - S Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco , San Fransisco, CA , United States
| | - A J S Idema
- Department of Neurosurgery, Northwest Clinics , Alkmaar , Netherlands
| | - B Kiesel
- Department of Neurosurgery, Medical University Vienna, , Wien , Austria
| | - A Kloet
- Department of Neurosurgery, Haaglanden Medical Center , The Hague , Netherlands
| | - R Nandoe Tewarie
- Department of Neurosurgery, Haaglanden Medical Center , The Hague , Netherlands
| | - E Mandonnet
- Department of Neurological Surgery, Hôpital Lariboisière , Paris , France
| | - I Reinertsen
- Department of Health Research, SINTEF Digital , Trondheim , Norway
| | - P A Robe
- Department of Neurology and Neurosurgery, University Medical Center Utrecht , Utrecht , Netherlands
| | - M Rossi
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano , Milano , Italy
| | - T Sciortino
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano , Milano , Italy
| | - O Solheim
- Department of Neurosurgery, St. Olavs University Hospital , Trondheim , Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology , Trondheim , Norway
| | | | - P W Vandertop
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit , Amsterdam , Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers , Amsterdam , Netherlands
| | - M Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen , Groningen , Netherlands
| | - G Widhalm
- Department of Neurosurgery, Medical University Vienna , Wien , Austria
| | - M G Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute , Amsterdam , Netherlands
| | - A H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, University of Amsterdam , Amsterdam , Netherlands
| | - P C De Witt Hamer
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit , Amsterdam , Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers , Amsterdam , Netherlands
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7
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Bouget D, Pedersen A, Jakola AS, Kavouridis V, Emblem KE, Eijgelaar RS, Kommers I, Ardon H, Barkhof F, Bello L, Berger MS, Conti Nibali M, Furtner J, Hervey-Jumper S, Idema AJS, Kiesel B, Kloet A, Mandonnet E, Müller DMJ, Robe PA, Rossi M, Sciortino T, Van den Brink WA, Wagemakers M, Widhalm G, Witte MG, Zwinderman AH, De Witt Hamer PC, Solheim O, Reinertsen I. Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting. Front Neurol 2022; 13:932219. [PMID: 35968292 PMCID: PMC9364874 DOI: 10.3389/fneur.2022.932219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/23/2022] [Indexed: 11/23/2022] Open
Abstract
For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and generation of clinical reports, incorporating a wide range of tumor characteristics, represents a major hurdle. In this study, we investigate the most occurring brain tumor types: glioblastomas, lower grade gliomas, meningiomas, and metastases, through four cohorts of up to 4,000 patients. Tumor segmentation models were trained using the AGU-Net architecture with different preprocessing steps and protocols. Segmentation performances were assessed in-depth using a wide-range of voxel and patient-wise metrics covering volume, distance, and probabilistic aspects. Finally, two software solutions have been developed, enabling an easy use of the trained models and standardized generation of clinical reports: Raidionics and Raidionics-Slicer. Segmentation performances were quite homogeneous across the four different brain tumor types, with an average true positive Dice ranging between 80 and 90%, patient-wise recall between 88 and 98%, and patient-wise precision around 95%. In conjunction to Dice, the identified most relevant other metrics were the relative absolute volume difference, the variation of information, and the Hausdorff, Mahalanobis, and object average symmetric surface distances. With our Raidionics software, running on a desktop computer with CPU support, tumor segmentation can be performed in 16–54 s depending on the dimensions of the MRI volume. For the generation of a standardized clinical report, including the tumor segmentation and features computation, 5–15 min are necessary. All trained models have been made open-access together with the source code for both software solutions and validation metrics computation. In the future, a method to convert results from a set of metrics into a final single score would be highly desirable for easier ranking across trained models. In addition, an automatic classification of the brain tumor type would be necessary to replace manual user input. Finally, the inclusion of post-operative segmentation in both software solutions will be key for generating complete post-operative standardized clinical reports.
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Affiliation(s)
- David Bouget
- Department of Health Research, SINTEF Digital, Trondheim, Norway
- *Correspondence: David Bouget
| | - André Pedersen
- Department of Health Research, SINTEF Digital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Asgeir S. Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Vasileios Kavouridis
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kyrre E. Emblem
- Division of Radiology and Nuclear Medicine, Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway
| | - Roelant S. Eijgelaar
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Ivar Kommers
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, Twee Steden Hospital, Tilburg, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università degli Studi di Milano, Milan, Italy
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Marco Conti Nibali
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università degli Studi di Milano, Milan, Italy
| | - Julia Furtner
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Wien, Austria
| | - Shawn Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | | | - Barbara Kiesel
- Department of Neurosurgery, Medical University Vienna, Wien, Austria
| | - Alfred Kloet
- Department of Neurosurgery, Haaglanden Medical Center, The Hague, Netherlands
| | | | - Domenique M. J. Müller
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Pierre A. Robe
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Marco Rossi
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università degli Studi di Milano, Milan, Italy
| | - Tommaso Sciortino
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università degli Studi di Milano, Milan, Italy
| | | | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Georg Widhalm
- Department of Neurosurgery, Medical University Vienna, Wien, Austria
| | - Marnix G. Witte
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Aeilko H. Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Philip C. De Witt Hamer
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Ole Solheim
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ingerid Reinertsen
- Department of Health Research, SINTEF Digital, Trondheim, Norway
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
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8
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Ho VKY, Gijtenbeek AJMM, Wagemakers M, Taal W, van Linde ME, Swaak-Kragten AT, Kurt E, van der Weide HL, Wesseling P, de Vos FY, Bromberg JEC. Rare CNS tumors in adults: a population-based study of ependymomas, pilocytic astrocytomas, medulloblastomas and intracranial germ cell tumors. Neurooncol Adv 2022; 4:vdac062. [PMID: 35664556 PMCID: PMC9154328 DOI: 10.1093/noajnl/vdac062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Background Ependymomas, pilocytic astrocytomas, medulloblastomas, and intracranial germ cell tumors occur relative frequently in children, but are rare central nervous system (CNS) tumors in adults. In this population-based survey, we established incidence, treatment, and survival patterns for these tumors diagnosed in adult patients (≥18 years) over a 30-year period (1989–2018). Methods Data on 1384 ependymomas, 454 pilocytic astrocytomas, 205 medulloblastomas, and 112 intracranial germ cell tumors were obtained from the Netherlands Cancer Registry (NCR) on the basis of a histopathological diagnosis. For each tumor type, age-standardized incidence rates and estimated annual percentage change were calculated. Trends in incidence and main treatment modalities were reported per 5-year periods. Overall survival was calculated using the Kaplan–Meier method, and relative survival rates were estimated using the Pohar-Perme estimator. Results Incidence and survival rates remained generally stable for pilocytic astrocytomas, medulloblastomas, and germ cell tumors. Increasing incidence was observed for spinal ependymomas, mostly for myxopapillary ependymomas, and survival improved over time for grade II ependymomas (P < .01). Treatment patterns varied over time with shifting roles for surgery in ependymomas and for chemotherapy and radiation in medulloblastomas and germinomas. Conclusions The study provides baseline information for highly needed national and international standard treatment protocols, and thus for further improving patient outcomes in these rare CNS tumors.
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Affiliation(s)
- Vincent K Y Ho
- Department of Research & Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands
| | - Anja J M M Gijtenbeek
- Department of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Groningen, The Netherlands
| | - Walter Taal
- Department of Neurology/Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Myra E van Linde
- Department of Medical Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Annemarie T Swaak-Kragten
- Department of Radiation Oncology, Erasmus MC Daniel den Hoed Cancer Center, Rotterdam, The Netherlands
| | - Erkan Kurt
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hiske L van der Weide
- Department of Radiotherapy, University Medical Center Groningen, Groningen, The Netherlands
| | - Pieter Wesseling
- Department of Pathology, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Filip Y de Vos
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jacoline E C Bromberg
- Department of Neurology/Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
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9
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Wolthuis N, Bosma I, Bastiaanse R, Cherian PJ, Smits M, Veenstra W, Wagemakers M, Vincent A, Satoer D. Distinct Slow-Wave Activity Patterns in Resting-State Electroencephalography and Their Relation to Language Functioning in Low-Grade Glioma and Meningioma Patients. Front Hum Neurosci 2022; 16:748128. [PMID: 35399357 PMCID: PMC8986989 DOI: 10.3389/fnhum.2022.748128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/16/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction Brain tumours frequently cause language impairments and are also likely to co-occur with localised abnormal slow-wave brain activity. However, it is unclear whether this applies specifically to low-grade brain tumours. We investigate slow-wave activity in resting-state electroencephalography (EEG) in low-grade glioma and meningioma patients, and its relation to pre- and postoperative language functioning. Method Patients with a glioma (N = 15) infiltrating the language-dominant hemisphere and patients with a meningioma (N = 10) with mass effect on this hemisphere underwent extensive language testing before and 1 year after surgery. EEG was registered preoperatively, postoperatively (glioma patients only), and once in healthy individuals. Slow-wave activity in delta- and theta- frequency bands was evaluated visually and quantitatively by spectral power at three levels over the scalp: the whole brain, the affected hemisphere, and the affected region. Results Glioma patients had increased delta activity (affected area) and increased theta activity (all levels) before and after surgery. In these patients, increased preoperative theta activity was related to the presence of language impairment, especially to poor word retrieval and grammatical performance. Preoperative slow-wave activity was also related to postoperative language outcomes. Meningioma patients showed no significant increase in EEG slow-wave activity compared to healthy individuals, but they presented with word retrieval, grammatical, and writing problems preoperatively, as well as with writing impairments postoperatively. Discussion Although the brain-tumour pathology in low-grade gliomas and meningiomas has a different effect on resting-state brain activity, patients with low-grade gliomas and meningiomas both suffer from language impairments. Increased theta activity in glioma patients can be considered as a language-impairment marker, with prognostic value for language outcome after surgery.
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Affiliation(s)
- Nienke Wolthuis
- Center for Language and Cognition Groningen (CLCG), University of Groningen, Groningen, Netherlands
| | - Ingeborg Bosma
- Department of Neurology, University Medical Center Groningen, Groningen, Netherlands
| | - Roelien Bastiaanse
- Center for Language and Cognition Groningen (CLCG), University of Groningen, Groningen, Netherlands
- National Research University Higher School of Economics, Moscow, Russia
| | - Perumpillichira J. Cherian
- Department of Neurology, University Medical Center Rotterdam, Rotterdam, Netherlands
- Division of Neurology, Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Marion Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, Netherlands
- Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Wencke Veenstra
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Groningen, Netherlands
| | - Arnaud Vincent
- Department of Neurosurgery, Erasmus MC – University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Djaina Satoer
- Department of Neurosurgery, Erasmus MC – University Medical Center Rotterdam, Rotterdam, Netherlands
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10
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De Swart ME, Müller DMJ, Ardon H, Balvers RK, Bosscher L, Bouwknegt W, van den Brink WA, Hovinga K, Kloet A, Koopmans J, Ter Laan M, Nabuurs R, Nandoe Tewarie R, Robe PA, van der Veer O, Viozzi I, Wagemakers M, Zwinderman AH, De Witt Hamer PC. Between-hospital variation in time to glioblastoma surgery: a report from the Quality Registry Neuro Surgery in the Netherlands. J Neurosurg 2022; 137:1-10. [PMID: 35276655 DOI: 10.3171/2022.1.jns212566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/10/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Patients with glioblastoma are often scheduled for urgent elective surgery. Currently, the impact of the waiting period until glioblastoma surgery is undetermined. In this national quality registry study, the authors determined the wait times until surgery for patients with glioblastoma, the risk factors associated with wait times, and the risk-standardized variation in time to surgery between Dutch hospitals. The associations between time to surgery and patient outcomes were also explored. METHODS Data from all 4589 patients who underwent first-time glioblastoma surgery between 2014 and 2019 in the Netherlands were collected by 13 hospitals in the Quality Registry Neuro Surgery. Time to surgery comprised 1) the time from first MR scan to surgery (MTS), and 2) the time from first neurosurgical consultation to surgery (CTS). Long MTS was defined as more than 21 days and long CTS as more than 14 days. Potential risk factors were analyzed in multivariable logistic regression models. The standardized rate of long time to surgery was analyzed using funnel plots. Patient outcomes including Karnofsky Performance Scale (KPS) score change, complications, and survival were analyzed by multivariable logistic regression and proportional hazards models. RESULTS The median overall MTS and CTS were 18 and 9 days, respectively. Overall, 2576 patients (56%) had an MTS within 3 weeks and 3069 (67%) had a CTS within 2 weeks. Long MTS was significantly associated with older age, higher preoperative KPS score, higher American Society of Anesthesiologists comorbidity class, season, lower hospital case volume, university affiliation, and resection. Long CTS was significantly associated with higher baseline KPS score, university affiliation, resection, more recent year of treatment, and season. In funnel plots, considerable practice variation was observed between hospitals in patients with long times to surgery. Fewer patients with KPS score improvement were observed after a long time until resection. Long CTS was associated with longer survival. Complications and KPS score decline were not associated with time to surgery. CONCLUSIONS Considerable between-hospital variation among Dutch hospitals was observed in the time to glioblastoma surgery. A long time to resection impeded KPS score improvement, and therefore, patients who may improve should be identified for more urgent resection. Longer survival was observed in patients selected for longer time until surgery after neurosurgical consultation (CTS).
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Affiliation(s)
| | - Domenique M J Müller
- 2Neurosurgery, Amsterdam University Medical Centers, location VUmc, Cancer Center Amsterdam
| | - Hilko Ardon
- 3Department of Neurosurgery, Elisabeth-Tweesteden Hospital, Tilburg
| | - Rutger K Balvers
- 4Department of Neurosurgery, Erasmus University Medical Center, Rotterdam
| | | | - Wim Bouwknegt
- 6Department of Neurosurgery, Medical Center Slotervaart, Amsterdam
| | | | - Koos Hovinga
- 8Department of Neurosurgery, Maastricht University Medical Center, Maastricht
| | - Alfred Kloet
- 9Department of Neurosurgery, Haaglanden Medical Center, The Hague
| | - Jan Koopmans
- 10Department of Neurosurgery, Martini Hospital, Groningen
| | - Mark Ter Laan
- 11Department of Neurosurgery, Radboud University Medical Center, Nijmegen
| | - Rob Nabuurs
- 2Neurosurgery, Amsterdam University Medical Centers, location VUmc, Cancer Center Amsterdam
| | | | - Pierre A Robe
- 13Department of Neurology & Neurosurgery, University Medical Center Utrecht
| | | | - Ilaria Viozzi
- 11Department of Neurosurgery, Radboud University Medical Center, Nijmegen
| | | | - Aeilko H Zwinderman
- 16Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Philip C De Witt Hamer
- 2Neurosurgery, Amsterdam University Medical Centers, location VUmc, Cancer Center Amsterdam
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11
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Wolthuis N, Satoer D, Veenstra W, Smits M, Wagemakers M, Vincent A, Bastiaanse R, Cherian PJ, Bosma I. Resting-State Electroencephalography Functional Connectivity Networks Relate to Pre- and Postoperative Language Functioning in Low-Grade Glioma and Meningioma Patients. Front Neurosci 2021; 15:785969. [PMID: 34955732 PMCID: PMC8693574 DOI: 10.3389/fnins.2021.785969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 10/29/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Preservation of language functioning in patients undergoing brain tumor surgery is essential because language impairments negatively impact the quality of life. Brain tumor patients have alterations in functional connectivity (FC), the extent to which brain areas functionally interact. We studied FC networks in relation to language functioning in glioma and meningioma patients. Method: Patients with a low-grade glioma (N = 15) or meningioma (N = 10) infiltrating into/pressing on the language-dominant hemisphere underwent extensive language testing before and 1 year after surgery. Resting-state EEG was registered preoperatively, postoperatively (glioma patients only), and once in healthy individuals. After analyzing FC in theta and alpha frequency bands, weighted networks and Minimum Spanning Trees were quantified by various network measures. Results: Pre-operative FC network characteristics did not differ between glioma patients and healthy individuals. However, hub presence and higher local and global FC are associated with poorer language functioning before surgery in glioma patients and predict worse language performance at 1 year after surgery. For meningioma patients, a greater small worldness was related to worse language performance and hub presence; better average clustering and global integration were predictive of worse outcome on language function 1 year after surgery. The average eccentricity, diameter and tree hierarchy seem to be the network metrics with the more pronounced relation to language performance. Discussion: In this exploratory study, we demonstrated that preoperative FC networks are informative for pre- and postoperative language functioning in glioma patients and to a lesser extent in meningioma patients.
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Affiliation(s)
- Nienke Wolthuis
- Center for Language and Cognition Groningen, University of Groningen, Groningen, Netherlands
| | - Djaina Satoer
- Department of Neurosurgery, Erasmus MC - University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Wencke Veenstra
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Marion Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC - University Medical Center Rotterdam, Rotterdam, Netherlands.,Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Groningen, Netherlands
| | - Arnaud Vincent
- Department of Neurosurgery, Erasmus MC - University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Roelien Bastiaanse
- Center for Language and Cognition Groningen, University of Groningen, Groningen, Netherlands.,National Research University Higher School of Economics, Moscow, Russia
| | - Perumpillichira J Cherian
- Department of Neurology, University Medical Center Rotterdam, Rotterdam, Netherlands.,Division of Neurology, Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada
| | - Ingeborg Bosma
- Department of Neurology, University Medical Center Groningen, Groningen, Netherlands
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12
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Bouget D, Eijgelaar RS, Pedersen A, Kommers I, Ardon H, Barkhof F, Bello L, Berger MS, Nibali MC, Furtner J, Fyllingen EH, Hervey-Jumper S, Idema AJS, Kiesel B, Kloet A, Mandonnet E, Müller DMJ, Robe PA, Rossi M, Sagberg LM, Sciortino T, Van den Brink WA, Wagemakers M, Widhalm G, Witte MG, Zwinderman AH, Reinertsen I, De Witt Hamer PC, Solheim O. Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task. Cancers (Basel) 2021; 13:4674. [PMID: 34572900 PMCID: PMC8465753 DOI: 10.3390/cancers13184674] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/03/2021] [Accepted: 09/13/2021] [Indexed: 11/17/2022] Open
Abstract
For patients with presumed glioblastoma, essential tumor characteristics are determined from preoperative MR images to optimize the treatment strategy. This procedure is time-consuming and subjective, if performed by crude eyeballing or manually. The standardized GSI-RADS aims to provide neurosurgeons with automatic tumor segmentations to extract tumor features rapidly and objectively. In this study, we improved automatic tumor segmentation and compared the agreement with manual raters, describe the technical details of the different components of GSI-RADS, and determined their speed. Two recent neural network architectures were considered for the segmentation task: nnU-Net and AGU-Net. Two preprocessing schemes were introduced to investigate the tradeoff between performance and processing speed. A summarized description of the tumor feature extraction and standardized reporting process is included. The trained architectures for automatic segmentation and the code for computing the standardized report are distributed as open-source and as open-access software. Validation studies were performed on a dataset of 1594 gadolinium-enhanced T1-weighted MRI volumes from 13 hospitals and 293 T1-weighted MRI volumes from the BraTS challenge. The glioblastoma tumor core segmentation reached a Dice score slightly below 90%, a patientwise F1-score close to 99%, and a 95th percentile Hausdorff distance slightly below 4.0 mm on average with either architecture and the heavy preprocessing scheme. A patient MRI volume can be segmented in less than one minute, and a standardized report can be generated in up to five minutes. The proposed GSI-RADS software showed robust performance on a large collection of MRI volumes from various hospitals and generated results within a reasonable runtime.
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Affiliation(s)
- David Bouget
- Department of Health Research, SINTEF Digital, NO-7465 Trondheim, Norway; (A.P.); (I.R.)
| | - Roelant S. Eijgelaar
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (R.S.E.); (I.K.); (D.M.J.M.); (P.C.D.W.H.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
| | - André Pedersen
- Department of Health Research, SINTEF Digital, NO-7465 Trondheim, Norway; (A.P.); (I.R.)
| | - Ivar Kommers
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (R.S.E.); (I.K.); (D.M.J.M.); (P.C.D.W.H.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, Twee Steden Hospital, 5042 AD Tilburg, The Netherlands;
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands;
- Institutes of Neurology and Healthcare Engineering, University College London, London WC1E 6BT, UK
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA; (M.S.B.); (S.H.-J.)
| | - Marco Conti Nibali
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | - Julia Furtner
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, 1090 Wien, Austria;
| | - Even Hovig Fyllingen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway;
- Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, NO-7030 Trondheim, Norway
| | - Shawn Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA; (M.S.B.); (S.H.-J.)
| | - Albert J. S. Idema
- Department of Neurosurgery, Northwest Clinics, 1815 JD Alkmaar, The Netherlands;
| | - Barbara Kiesel
- Department of Neurosurgery, Medical University Vienna, 1090 Wien, Austria; (B.K.); (G.W.)
| | - Alfred Kloet
- Department of Neurosurgery, Haaglanden Medical Center, 2512 VA The Hague, The Netherlands;
| | - Emmanuel Mandonnet
- Department of Neurological Surgery, Hôpital Lariboisière, 75010 Paris, France;
| | - Domenique M. J. Müller
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (R.S.E.); (I.K.); (D.M.J.M.); (P.C.D.W.H.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
| | - Pierre A. Robe
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands;
| | - Marco Rossi
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | - Lisa M. Sagberg
- Department of Neurosurgery, St. Olavs Hospital, Trondheim University Hospital, NO-7030 Trondheim, Norway;
| | - Tommaso Sciortino
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | | | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Georg Widhalm
- Department of Neurosurgery, Medical University Vienna, 1090 Wien, Austria; (B.K.); (G.W.)
| | - Marnix G. Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
| | - Aeilko H. Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, 1105 AZ Amsterdam, The Netherlands; (A.H.Z.); (O.S.)
| | - Ingerid Reinertsen
- Department of Health Research, SINTEF Digital, NO-7465 Trondheim, Norway; (A.P.); (I.R.)
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Philip C. De Witt Hamer
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (R.S.E.); (I.K.); (D.M.J.M.); (P.C.D.W.H.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
| | - Ole Solheim
- Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, 1105 AZ Amsterdam, The Netherlands; (A.H.Z.); (O.S.)
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
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13
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Govaerts CW, van Dijken BR, Stormezand GN, van der Weide HL, Wagemakers M, Enting RH, van der Hoorn A. 11C-methyl-L-methionine PET measuring parameters for the diagnosis of tumour progression against radiation-induced changes in brain metastases. Br J Radiol 2021; 94:20210275. [PMID: 34233489 PMCID: PMC9327750 DOI: 10.1259/bjr.20210275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Objectives: Radiation-induced changes (RIC) secondary to focal radiotherapy can imitate tumour progression in brain metastases and make follow-up clinical decision making unreliable. 11C-methyl-L-methionine-PET (MET-PET) is widely used for the diagnosis of RIC in brain metastases, but minimal literature exists regarding the optimum PET measuring parameter to be used. We analysed the diagnostic performance of different MET-PET measuring parameters in distinguishing between RIC and tumour progression in a retrospective cohort of brain metastasis patients. Methods: 26 patients with 31 metastatic lesions were included on the basis of having undergone a PET scan due to radiological uncertainty of disease progression. The PET images were analysed and methionine uptake quantified using standardised-uptake-values (SUV) and tumour-to-normal tissue (T/N) ratios, generated as SUVmean, SUVmax, SUVpeak, T/Nmean, T/Nmax-mean and T/Npeak-mean. Metabolic-tumour-volume and total-lesion methionine metabolism were also computed. A definitive diagnosis of either RIC or tumour progression was established by clinicoradiological follow-up of least 4 months subsequent to the investigative PET scan. Results: All MET-PET parameters except metabolic-tumour-volume showed statistically significant differences between tumour progression and lesions with RIC. Receiver-operating-characteristic curve and area-under the-curve analysis demonstrated the highest value of 0.834 for SUVmax with a corresponding optimum threshold of 3.29. This associated with sensitivity, specificity, positive predictive and negative predictive values of 78.57, 70.59%, 74.32 and 75.25% respectively. Conclusions MET-PET is a useful modality for the diagnosis of RIC in brain metastases. SUVmax was the PET parameter with the greatest diagnostic performance. Advances in knowledge: More robust comparisons between SUVmax and SUVpeak could enhance follow-up treatment planning.
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Affiliation(s)
- Chris W Govaerts
- Department of Radiology (EB44), Medical Imaging Centre (MIC), University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Bart Rj van Dijken
- Department of Radiology (EB44), Medical Imaging Centre (MIC), University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Gilles N Stormezand
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Centre (MIC), University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Hiske L van der Weide
- Department of Radiotherapy, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Roelien H Enting
- Department of Neurology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Anouk van der Hoorn
- Department of Radiology (EB44), Medical Imaging Centre (MIC), University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.,Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neuroscience, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.,Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
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14
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Müller DMJ, Robe PA, Ardon H, Barkhof F, Bello L, Berger MS, Bouwknegt W, Van den Brink WA, Conti Nibali M, Eijgelaar RS, Furtner J, Han SJ, Hervey-Jumper SL, Idema AJS, Kiesel B, Kloet A, Mandonnet E, De Munck JC, Rossi M, Sciortino T, Vandertop WP, Visser M, Wagemakers M, Widhalm G, Witte MG, Zwinderman AH, De Witt Hamer PC. On the cutting edge of glioblastoma surgery: where neurosurgeons agree and disagree on surgical decisions. J Neurosurg 2021; 136:45-55. [PMID: 34243150 DOI: 10.3171/2020.11.jns202897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 11/30/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The aim of glioblastoma surgery is to maximize the extent of resection while preserving functional integrity. Standards are lacking for surgical decision-making, and previous studies indicate treatment variations. These shortcomings reflect the need to evaluate larger populations from different care teams. In this study, the authors used probability maps to quantify and compare surgical decision-making throughout the brain by 12 neurosurgical teams for patients with glioblastoma. METHODS The study included all adult patients who underwent first-time glioblastoma surgery in 2012-2013 and were treated by 1 of the 12 participating neurosurgical teams. Voxel-wise probability maps of tumor location, biopsy, and resection were constructed for each team to identify and compare patient treatment variations. Brain regions with different biopsy and resection results between teams were identified and analyzed for patient functional outcome and survival. RESULTS The study cohort consisted of 1087 patients, of whom 363 underwent a biopsy and 724 a resection. Biopsy and resection decisions were generally comparable between teams, providing benchmarks for probability maps of resections and biopsies for glioblastoma. Differences in biopsy rates were identified for the right superior frontal gyrus and indicated variation in biopsy decisions. Differences in resection rates were identified for the left superior parietal lobule, indicating variations in resection decisions. CONCLUSIONS Probability maps of glioblastoma surgery enabled capture of clinical practice decisions and indicated that teams generally agreed on which region to biopsy or to resect. However, treatment variations reflecting clinical dilemmas were observed and pinpointed by using the probability maps, which could therefore be useful for quality-of-care discussions between surgical teams for patients with glioblastoma.
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Affiliation(s)
- Domenique M J Müller
- 1Department of Neurosurgery, Amsterdam UMC, Vrije Universiteit, Cancer Center Amsterdam
| | - Pierre A Robe
- 2Department of Neurology and Neurosurgery, University Medical Center Utrecht
| | - Hilko Ardon
- 3Department of Neurosurgery, St. Elisabeth Hospital, Tilburg
| | - Frederik Barkhof
- 4Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands.,5Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom
| | - Lorenzo Bello
- 6Neurosurgical Oncology Unit, Department of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Mitchel S Berger
- 7Department of Neurological Surgery, University of California, San Francisco, California
| | - Wim Bouwknegt
- 8Department of Neurosurgery, Medical Center Slotervaart, Amsterdam
| | | | - Marco Conti Nibali
- 6Neurosurgical Oncology Unit, Department of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Roelant S Eijgelaar
- 10Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Julia Furtner
- 11Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Austria
| | - Seunggu J Han
- 12Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon
| | - Shawn L Hervey-Jumper
- 7Department of Neurological Surgery, University of California, San Francisco, California
| | - Albert J S Idema
- 13Department of Neurosurgery, Northwest Clinics, Alkmaar, The Netherlands
| | - Barbara Kiesel
- 14Department of Neurological Surgery, Medical University Vienna, Austria
| | - Alfred Kloet
- 15Department of Neurosurgery, Medical Center Haaglanden, The Hague, The Netherlands
| | - Emmanuel Mandonnet
- 16Department of Neurological Surgery, Hôpital Lariboisière, Paris, France
| | - Jan C De Munck
- 4Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Marco Rossi
- 6Neurosurgical Oncology Unit, Department of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Tommaso Sciortino
- 6Neurosurgical Oncology Unit, Department of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - W Peter Vandertop
- 1Department of Neurosurgery, Amsterdam UMC, Vrije Universiteit, Cancer Center Amsterdam
| | - Martin Visser
- 4Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Michiel Wagemakers
- 17Department of Neurosurgery, University of Groningen, University Medical Center Groningen; and
| | - Georg Widhalm
- 14Department of Neurological Surgery, Medical University Vienna, Austria
| | - Marnix G Witte
- 10Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Aeilko H Zwinderman
- 18Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
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15
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Kommers I, Bouget D, Pedersen A, Eijgelaar RS, Ardon H, Barkhof F, Bello L, Berger MS, Conti Nibali M, Furtner J, Fyllingen EH, Hervey-Jumper S, Idema AJS, Kiesel B, Kloet A, Mandonnet E, Müller DMJ, Robe PA, Rossi M, Sagberg LM, Sciortino T, van den Brink WA, Wagemakers M, Widhalm G, Witte MG, Zwinderman AH, Reinertsen I, Solheim O, De Witt Hamer PC. Glioblastoma Surgery Imaging-Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations. Cancers (Basel) 2021; 13:2854. [PMID: 34201021 PMCID: PMC8229389 DOI: 10.3390/cancers13122854] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/28/2021] [Accepted: 06/02/2021] [Indexed: 01/01/2023] Open
Abstract
Treatment decisions for patients with presumed glioblastoma are based on tumor characteristics available from a preoperative MR scan. Tumor characteristics, including volume, location, and resectability, are often estimated or manually delineated. This process is time consuming and subjective. Hence, comparison across cohorts, trials, or registries are subject to assessment bias. In this study, we propose a standardized Glioblastoma Surgery Imaging Reporting and Data System (GSI-RADS) based on an automated method of tumor segmentation that provides standard reports on tumor features that are potentially relevant for glioblastoma surgery. As clinical validation, we determine the agreement in extracted tumor features between the automated method and the current standard of manual segmentations from routine clinical MR scans before treatment. In an observational consecutive cohort of 1596 adult patients with a first time surgery of a glioblastoma from 13 institutions, we segmented gadolinium-enhanced tumor parts both by a human rater and by an automated algorithm. Tumor features were extracted from segmentations of both methods and compared to assess differences, concordance, and equivalence. The laterality, contralateral infiltration, and the laterality indices were in excellent agreement. The native and normalized tumor volumes had excellent agreement, consistency, and equivalence. Multifocality, but not the number of foci, had good agreement and equivalence. The location profiles of cortical and subcortical structures were in excellent agreement. The expected residual tumor volumes and resectability indices had excellent agreement, consistency, and equivalence. Tumor probability maps were in good agreement. In conclusion, automated segmentations are in excellent agreement with manual segmentations and practically equivalent regarding tumor features that are potentially relevant for neurosurgical purposes. Standard GSI-RADS reports can be generated by open access software.
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Affiliation(s)
- Ivar Kommers
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (I.K.); (R.S.E.); (D.M.J.M.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
| | - David Bouget
- Department of Health Research, SINTEF Digital, NO-7465 Trondheim, Norway; (D.B.); (A.P.); (I.R.)
| | - André Pedersen
- Department of Health Research, SINTEF Digital, NO-7465 Trondheim, Norway; (D.B.); (A.P.); (I.R.)
| | - Roelant S. Eijgelaar
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (I.K.); (R.S.E.); (D.M.J.M.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, Twee Steden Hospital, 5042 AD Tilburg, The Netherlands;
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands;
- Institutes of Neurology and Healthcare Engineering, University College London, London WC1E 6BT, UK
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | - Mitchel S. Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA; (M.S.B.); (S.H.-J.)
| | - Marco Conti Nibali
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | - Julia Furtner
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, 1090 Wien, Austria;
| | - Even H. Fyllingen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway;
- Department of Radiology and Nuclear Medicine, St. Olav’s Hospital, Trondheim University Hospital, NO-7030 Trondheim, Norway
| | - Shawn Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA; (M.S.B.); (S.H.-J.)
| | - Albert J. S. Idema
- Department of Neurosurgery, Northwest Clinics, 1815 JD Alkmaar, The Netherlands;
| | - Barbara Kiesel
- Department of Neurosurgery, Medical University Vienna, 1090 Wien, Austria; (B.K.); (G.W.)
| | - Alfred Kloet
- Department of Neurosurgery, Haaglanden Medical Center, 2512 VA The Hague, The Netherlands;
| | - Emmanuel Mandonnet
- Department of Neurological Surgery, Hôpital Lariboisière, 75010 Paris, France;
| | - Domenique M. J. Müller
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (I.K.); (R.S.E.); (D.M.J.M.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
| | - Pierre A. Robe
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands;
| | - Marco Rossi
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | - Lisa M. Sagberg
- Department of Neurosurgery, St. Olav’s Hospital, Trondheim University Hospital, NO-7030 Trondheim, Norway;
| | - Tommaso Sciortino
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Humanitas Research Hospital, Università Degli Studi di Milano, 20122 Milano, Italy; (L.B.); (M.C.N.); (M.R.); (T.S.)
| | | | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Georg Widhalm
- Department of Neurosurgery, Medical University Vienna, 1090 Wien, Austria; (B.K.); (G.W.)
| | - Marnix G. Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
| | - Aeilko H. Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Ingerid Reinertsen
- Department of Health Research, SINTEF Digital, NO-7465 Trondheim, Norway; (D.B.); (A.P.); (I.R.)
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway;
| | - Ole Solheim
- Department of Neurosurgery, St. Olav’s Hospital, Trondheim University Hospital, NO-7030 Trondheim, Norway;
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
| | - Philip C. De Witt Hamer
- Department of Neurosurgery, Amsterdam University Medical Centers, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands; (I.K.); (R.S.E.); (D.M.J.M.)
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam University Medical Centers, 1081 HV Amsterdam, The Netherlands
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16
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Müller DMJ, De Swart ME, Ardon H, Barkhof F, Bello L, Berger MS, Bouwknegt W, Van den Brink WA, Conti Nibali M, Eijgelaar RS, Furtner J, Han SJ, Hervey-Jumper S, Idema AJS, Kiesel B, Kloet A, Mandonnet E, Robe PAJT, Rossi M, Sciortino T, Vandertop WP, Visser M, Wagemakers M, Widhalm G, Witte MG, De Witt Hamer PC. Timing of glioblastoma surgery and patient outcomes: a multicenter cohort study. Neurooncol Adv 2021; 3:vdab053. [PMID: 34056605 PMCID: PMC8156977 DOI: 10.1093/noajnl/vdab053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The impact of time-to-surgery on clinical outcome for patients with glioblastoma has not been determined. Any delay in treatment is perceived as detrimental, but guidelines do not specify acceptable timings. In this study, we relate the time to glioblastoma surgery with the extent of resection and residual tumor volume, performance change, and survival, and we explore the identification of patients for urgent surgery. Methods Adults with first-time surgery in 2012–2013 treated by 12 neuro-oncological teams were included in this study. We defined time-to-surgery as the number of days between the diagnostic MR scan and surgery. The relation between time-to-surgery and patient and tumor characteristics was explored in time-to-event analysis and proportional hazard models. Outcome according to time-to-surgery was analyzed by volumetric measurements, changes in performance status, and survival analysis with patient and tumor characteristics as modifiers. Results Included were 1033 patients of whom 729 had a resection and 304 a biopsy. The overall median time-to-surgery was 13 days. Surgery was within 3 days for 235 (23%) patients, and within a month for 889 (86%). The median volumetric doubling time was 22 days. Lower performance status (hazard ratio [HR] 0.942, 95% confidence interval [CI] 0.893–0.994) and larger tumor volume (HR 1.012, 95% CI 1.010–1.014) were independently associated with a shorter time-to-surgery. Extent of resection, residual tumor volume, postoperative performance change, and overall survival were not associated with time-to-surgery. Conclusions With current decision-making for urgent surgery in selected patients with glioblastoma and surgery typically within 1 month, we found equal extent of resection, residual tumor volume, performance status, and survival after longer times-to-surgery.
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Affiliation(s)
- Domenique M J Müller
- Amsterdam University Medical Centers, location VU University Medical Center, Neurosurgical Center Amsterdam, Amsterdam, Netherlands
| | - Merijn E De Swart
- Department of Surgery, Amsterdam University Medical Centers, location VU University Medical Center, Amsterdam, Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, St Elisabeth Hospital, Tilburg, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Lorenzo Bello
- Department of Neurological Surgery, Humanitas Research Hospital Milano, Milan, Italy
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Wim Bouwknegt
- Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, Netherlands
| | | | - Marco Conti Nibali
- Department of Neurological Surgery, Humanitas Research Hospital Milano, Milan, Italy
| | - Roelant S Eijgelaar
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Julia Furtner
- Department of Biomedical Imaging and image-guided Therapy, Medical University Vienna, Vienna, Austria
| | - Seunggu J Han
- Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon, USA
| | - Shawn Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Albert J S Idema
- Department of Neurosurgery, Northwest Clinics, Alkmaar, Netherlands
| | - Barbara Kiesel
- Department of Neurological Surgery, Medical University Vienna, Vienna, Austria
| | - Alfred Kloet
- Department of Neurosurgery, Medical Center Haaglanden, the Hague, Netherlands
| | | | - Pierre A J T Robe
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands
| | - Marco Rossi
- Department of Neurological Surgery, Humanitas Research Hospital Milano, Milan, Italy
| | - Tommaso Sciortino
- Department of Neurological Surgery, Humanitas Research Hospital Milano, Milan, Italy
| | - W Peter Vandertop
- Amsterdam University Medical Centers, location VU University Medical Center, Neurosurgical Center Amsterdam, Amsterdam, Netherlands
| | - Martin Visser
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Georg Widhalm
- Department of Neurological Surgery, Medical University Vienna, Vienna, Austria
| | - Marnix G Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Philip C De Witt Hamer
- Amsterdam University Medical Centers, location VU University Medical Center, Neurosurgical Center Amsterdam, Amsterdam, Netherlands
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17
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Kommers I, Ackermans L, Ardon H, van den Brink WA, Bouwknegt W, Balvers RK, van der Gaag N, Bosscher L, Kloet A, Koopmans J, Laan MT, Tewarie RN, Robe PA, van der Veer O, Wagemakers M, Zwinderman AH, De Witt Hamer PC. Between-hospital variation in rates of complications and decline of patient performance after glioblastoma surgery in the dutch Quality Registry Neuro Surgery. J Neurooncol 2021; 152:289-298. [PMID: 33511509 PMCID: PMC7997839 DOI: 10.1007/s11060-021-03697-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 01/06/2021] [Indexed: 01/09/2023]
Abstract
Introduction For decisions on glioblastoma surgery, the risk of complications and decline in performance is decisive. In this study, we determine the rate of complications and performance decline after resections and biopsies in a national quality registry, their risk factors and the risk-standardized variation between institutions. Methods Data from all 3288 adults with first-time glioblastoma surgery at 13 hospitals were obtained from a prospective population-based Quality Registry Neuro Surgery in the Netherlands between 2013 and 2017. Patients were stratified by biopsies and resections. Complications were categorized as Clavien-Dindo grades II and higher. Performance decline was considered a deterioration of more than 10 Karnofsky points at 6 weeks. Risk factors were evaluated in multivariable logistic regression analysis. Patient-specific expected and observed complications and performance declines were summarized for institutions and analyzed in funnel plots. Results For 2271 resections, the overall complication rate was 20 % and 16 % declined in performance. For 1017 biopsies, the overall complication rate was 11 % and 30 % declined in performance. Patient-related characteristics were significant risk factors for complications and performance decline, i.e. higher age, lower baseline Karnofsky, higher ASA classification, and the surgical procedure. Hospital characteristics, i.e. case volume, university affiliation and biopsy percentage, were not. In three institutes the observed complication rate was significantly less than expected. In one institute significantly more performance declines were observed than expected, and in one institute significantly less. Conclusions Patient characteristics, but not case volume, were risk factors for complications and performance decline after glioblastoma surgery. After risk-standardization, hospitals varied in complications and performance declines. Supplementary Information The online version contains supplementary material available at 10.1007/s11060-021-03697-8.
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Affiliation(s)
- Ivar Kommers
- Department of Neurosurgery, Location VUmc, Cancer Center Amsterdam, Amsterdam University Medical Centers, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
| | - Linda Ackermans
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, St Elisabeth Hospital, Tilburg, Netherlands
| | | | - Wim Bouwknegt
- Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, Netherlands
| | - Rutger K Balvers
- Department of Neurosurgery, Erasmus University Medical Centre, Rotterdam, Netherlands
| | - Niels van der Gaag
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, Netherlands
| | - Lisette Bosscher
- Department of Neurosurgery, Northwest Clinics, Alkmaar, Netherlands
| | - Alfred Kloet
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, Netherlands
| | - Jan Koopmans
- Department of Neurosurgery, Martini Hospital, Groningen, Netherlands
| | - Mark Ter Laan
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, Netherlands
| | - Rishi Nandoe Tewarie
- Department of Neurosurgery, Leiden University Medical Center, Leiden, Netherlands
| | - Pierre A Robe
- Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Groningen, Netherlands
| | - Aeilko H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Philip C De Witt Hamer
- Department of Neurosurgery, Location VUmc, Cancer Center Amsterdam, Amsterdam University Medical Centers, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands.
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18
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Jeltema HR, Ohlerth AK, de Wit A, Wagemakers M, Rofes A, Bastiaanse R, Drost G. Comparing navigated transcranial magnetic stimulation mapping and "gold standard" direct cortical stimulation mapping in neurosurgery: a systematic review. Neurosurg Rev 2020; 44:1903-1920. [PMID: 33009990 PMCID: PMC8338816 DOI: 10.1007/s10143-020-01397-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 09/05/2020] [Accepted: 09/17/2020] [Indexed: 12/14/2022]
Abstract
The objective of this systematic review is to create an overview of the literature on the comparison of navigated transcranial magnetic stimulation (nTMS) as a mapping tool to the current gold standard, which is (intraoperative) direct cortical stimulation (DCS) mapping. A search in the databases of PubMed, EMBASE, and Web of Science was performed. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and recommendations were used. Thirty-five publications were included in the review, describing a total of 552 patients. All studies concerned either mapping of motor or language function. No comparative data for nTMS and DCS for other neurological functions were found. For motor mapping, the distances between the cortical representation of the different muscle groups identified by nTMS and DCS varied between 2 and 16 mm. Regarding mapping of language function, solely an object naming task was performed in the comparative studies on nTMS and DCS. Sensitivity and specificity ranged from 10 to 100% and 13.3–98%, respectively, when nTMS language mapping was compared with DCS mapping. The positive predictive value (PPV) and negative predictive value (NPV) ranged from 17 to 75% and 57–100% respectively. The available evidence for nTMS as a mapping modality for motor and language function is discussed.
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Affiliation(s)
- Hanne-Rinck Jeltema
- Department of Neurosurgery, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands.
| | - Ann-Katrin Ohlerth
- Center for Language and Cognition Groningen, University of Groningen, Oude Kijk in 't Jatstraat 26, 9712 EK, Groningen, the Netherlands
| | - Aranka de Wit
- Faculty of Medical Sciences, University of Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, the Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands
| | - Adrià Rofes
- Center for Language and Cognition Groningen, University of Groningen, Oude Kijk in 't Jatstraat 26, 9712 EK, Groningen, the Netherlands
| | - Roelien Bastiaanse
- Center for Language and Cognition Groningen, University of Groningen, Oude Kijk in 't Jatstraat 26, 9712 EK, Groningen, the Netherlands.,Center for Language and Brain, National Research University, Higher School of Economics, Moscow, Russian Federation
| | - Gea Drost
- Department of Neurosurgery, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700 RB, Groningen, the Netherlands
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19
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Müller DMJ, Robe PA, Ardon H, Barkhof F, Bello L, Berger MS, Bouwknegt W, Van den Brink WA, Conti Nibali M, Eijgelaar RS, Furtner J, Han SJ, Hervey-Jumper SL, Idema AJS, Kiesel B, Kloet A, De Munck JC, Rossi M, Sciortino T, Vandertop WP, Visser M, Wagemakers M, Widhalm G, Witte MG, Zwinderman AH, De Witt Hamer PC. Quantifying eloquent locations for glioblastoma surgery using resection probability maps. J Neurosurg 2020; 134:1091-1101. [PMID: 32244208 DOI: 10.3171/2020.1.jns193049] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 01/21/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Decisions in glioblastoma surgery are often guided by presumed eloquence of the tumor location. The authors introduce the "expected residual tumor volume" (eRV) and the "expected resectability index" (eRI) based on previous decisions aggregated in resection probability maps. The diagnostic accuracy of eRV and eRI to predict biopsy decisions, resectability, functional outcome, and survival was determined. METHODS Consecutive patients with first-time glioblastoma surgery in 2012-2013 were included from 12 hospitals. The eRV was calculated from the preoperative MR images of each patient using a resection probability map, and the eRI was derived from the tumor volume. As reference, Sawaya's tumor location eloquence grades (EGs) were classified. Resectability was measured as observed extent of resection (EOR) and residual volume, and functional outcome as change in Karnofsky Performance Scale score. Receiver operating characteristic curves and multivariable logistic regression were applied. RESULTS Of 915 patients, 674 (74%) underwent a resection with a median EOR of 97%, functional improvement in 71 (8%), functional decline in 78 (9%), and median survival of 12.8 months. The eRI and eRV identified biopsies and EORs of at least 80%, 90%, or 98% better than EG. The eRV and eRI predicted observed residual volumes under 10, 5, and 1 ml better than EG. The eRV, eRI, and EG had low diagnostic accuracy for functional outcome changes. Higher eRV and lower eRI were strongly associated with shorter survival, independent of known prognostic factors. CONCLUSIONS The eRV and eRI predict biopsy decisions, resectability, and survival better than eloquence grading and may be useful preoperative indices to support surgical decisions.
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Affiliation(s)
- Domenique M J Müller
- 1Brain Tumor Center & Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Pierre A Robe
- 2Department of Neurology & Neurosurgery, University Medical Center Utrecht, The Netherlands
| | - Hilko Ardon
- 3Department of Neurosurgery, St. Elisabeth Hospital, Tilburg, The Netherlands
| | - Frederik Barkhof
- 4Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, University Medical Center, Amsterdam, The Netherlands.,5Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom
| | - Lorenzo Bello
- 6Neurosurgical Oncology Unit, Departments of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Mitchel S Berger
- 7Department of Neurological Surgery, University of California, San Francisco, California
| | - Wim Bouwknegt
- 8Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, The Netherlands
| | | | - Marco Conti Nibali
- 6Neurosurgical Oncology Unit, Departments of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Roelant S Eijgelaar
- 10Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Julia Furtner
- 11Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Austria
| | - Seunggu J Han
- 12Department of Neurological Surgery, Oregon Health and Science University, Portland, Oregon
| | - Shawn L Hervey-Jumper
- 7Department of Neurological Surgery, University of California, San Francisco, California
| | - Albert J S Idema
- 13Department of Neurosurgery, Northwest Clinics, Alkmaar, The Netherlands
| | - Barbara Kiesel
- 14Department of Neurosurgery, Medical University Vienna, Austria
| | - Alfred Kloet
- 15Department of Neurosurgery, Medical Center Haaglanden, The Hague, The Netherlands
| | - Jan C De Munck
- 4Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, University Medical Center, Amsterdam, The Netherlands
| | - Marco Rossi
- 6Neurosurgical Oncology Unit, Departments of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Tommaso Sciortino
- 6Neurosurgical Oncology Unit, Departments of Oncology and Remato-Oncology, Università degli Studi di Milano, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - W Peter Vandertop
- 1Brain Tumor Center & Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Martin Visser
- 4Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, University Medical Center, Amsterdam, The Netherlands
| | - Michiel Wagemakers
- 16Department of Neurosurgery, University of Groningen, University Medical Center Groningen, The Netherlands; and
| | - Georg Widhalm
- 14Department of Neurosurgery, Medical University Vienna, Austria
| | - Marnix G Witte
- 10Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Aeilko H Zwinderman
- 17Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, The Netherlands
| | - Philip C De Witt Hamer
- 1Brain Tumor Center & Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
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20
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Gerritsen JKW, Klimek M, Dirven CMF, Hoop EOD, Wagemakers M, Rutten GJM, Kloet A, Hallaert GG, Vincent AJPE. The SAFE-trial: Safe surgery for glioblastoma multiforme: Awake craniotomy versus surgery under general anesthesia. Study protocol for a multicenter prospective randomized controlled trial. Contemp Clin Trials 2019; 88:105876. [PMID: 31676314 DOI: 10.1016/j.cct.2019.105876] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 10/18/2019] [Accepted: 10/24/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Surgery of GBM nowadays is usually performed under general anesthesia (GA) and resections are often not as aggressive as possible, due to the chance of seriously damaging the patient with a rather low life expectancy. A surgical technique optimizing resection of the tumor in eloquent areas but preventing neurological deficits is necessary to improve survival and quality of life in these patients. Awake craniotomy (AC) with the use of cortical and subcortical stimulation has been widely implemented for low-grade glioma resections (LGG), but not yet for GBM. AC has shown to increase resection percentage and preserve quality of life in LGG and could thus be of important value in GBM surgery. METHODS/DESIGN This study is a prospective, multicenter, randomized controlled trial (RCT). Consecutive patients with a glioblastoma in or near eloquent areas (Sawaya grading II/III) will be 1:1 randomized to awake craniotomy or craniotomy under general anesthesia. 246 patients will be included in neurosurgical centers in the Netherlands and Belgium. Primary end-points are: 1) Postoperative neurological morbidity and 2) Proportion of patients with gross-total resections. Secondary end-points are: 1) Health-related quality of life; 2) Progression-free survival (PFS); 3) Overall survival (OS) and 4) Frequency and severity of Serious Adverse Effects in each group. Also, a cost-benefit analysis will be performed. All patients will receive standard adjuvant treatment with concomitant chemoradiotherapy. DISCUSSION This RCT should demonstrate whether AC is superior to craniotomy under GA on neurological morbidity, extent of resection and survival for glioblastoma resections in or near eloquent areas. TRIAL REGISTRATION Clinicaltrials.gov: NCT03861299 Netherlands Trial Register (NTR): NL7589.
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Affiliation(s)
| | - Markus Klimek
- Erasmus Medical Center Rotterdam, Department of Anesthesiology, The Netherlands
| | - Clemens M F Dirven
- Erasmus Medical Center Rotterdam, Department of Neurosurgery, The Netherlands
| | | | - Michiel Wagemakers
- University Medical Center Groningen, Department of Neurosurgery, The Netherlands
| | - Geert Jan M Rutten
- Elisabeth-Tweesteden Hospital Tilburg, Department of Neurosurgery, The Netherlands
| | - Alfred Kloet
- Haaglanden Medical Center Den Haag, Department of Neurosurgery, The Netherlands
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21
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Pijpker PA, Wagemakers M, Kraeima J, Vergeer RA, Kuijlen JM, Groen RJ. Three-Dimensional Printed Polymethylmethacrylate Casting Molds for Posterior Fossa Reconstruction in the Surgical Treatment of Chiari I Malformation: Technical Note and Illustrative Cases. World Neurosurg 2019; 129:148-156. [DOI: 10.1016/j.wneu.2019.05.191] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/21/2019] [Accepted: 05/22/2019] [Indexed: 10/26/2022]
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22
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De Witt Hamer PC, Ho VKY, Zwinderman AH, Ackermans L, Ardon H, Boomstra S, Bouwknegt W, van den Brink WA, Dirven CM, van der Gaag NA, van der Veer O, Idema AJS, Kloet A, Koopmans J, Ter Laan M, Verstegen MJT, Wagemakers M, Robe PAJT. Between-hospital variation in mortality and survival after glioblastoma surgery in the Dutch Quality Registry for Neuro Surgery. J Neurooncol 2019; 144:313-323. [PMID: 31236819 PMCID: PMC6700042 DOI: 10.1007/s11060-019-03229-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 06/19/2019] [Indexed: 12/17/2022]
Abstract
Purpose Standards for surgical decisions are unavailable, hence treatment decisions can be personalized, but also introduce variation in treatment and outcome. National registrations seek to monitor healthcare quality. The goal of the study is to measure between-hospital variation in risk-standardized survival outcome after glioblastoma surgery and to explore the association between survival and hospital characteristics in conjunction with patient-related risk factors. Methods Data of 2,409 adults with first-time glioblastoma surgery at 14 hospitals were obtained from a comprehensive, prospective population-based Quality Registry Neuro Surgery in The Netherlands between 2011 and 2014. We compared the observed survival with patient-specific risk-standardized expected early (30-day) mortality and late (2-year) survival, based on age, performance, and treatment year. We analyzed funnel plots, logistic regression and proportional hazards models. Results Overall 30-day mortality was 5.2% and overall 2-year survival was 13.5%. Median survival varied between 4.8 and 14.9 months among hospitals, and biopsy percentages ranged between 16 and 73%. One hospital had lower than expected early mortality, and four hospitals had lower than expected late survival. Higher case volume was related with lower early mortality (P = 0.031). Patient-related risk factors (lower age; better performance; more recent years of treatment) were significantly associated with longer overall survival. Of the hospital characteristics, longer overall survival was associated with lower biopsy percentage (HR 2.09, 1.34–3.26, P = 0.001), and not with academic setting, nor with case volume. Conclusions Hospitals vary more in late survival than early mortality after glioblastoma surgery. Widely varying biopsy percentages indicate treatment variation. Patient-related factors have a stronger association with overall survival than hospital-related factors. Electronic supplementary material The online version of this article (10.1007/s11060-019-03229-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Philip C De Witt Hamer
- Department of Neurosurgery, Neurosurgical Center Amsterdam, Location VU Medical Center, Amsterdam, The Netherlands. .,Department of Neurosurgery, Amsterdam University Medical Centers, Location VU Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Vincent K Y Ho
- Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands
| | - Aeilko H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, The Netherlands
| | - Linda Ackermans
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, St Elisabeth Hospital, Tilburg, The Netherlands
| | - Sytske Boomstra
- Department of Neurosurgery, Medical Spectrum Twente, Enschede, The Netherlands
| | - Wim Bouwknegt
- Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, The Netherlands
| | | | - Clemens M Dirven
- Department of Neurosurgery, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Niels A van der Gaag
- HAGA Teaching Hospital, The Hague, The Netherlands.,Leiden University Medical Center, Leiden, The Netherlands
| | | | - Albert J S Idema
- Department of Neurosurgery, Northwest Clinics, Alkmaar, The Netherlands
| | - Alfred Kloet
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, The Netherlands
| | - Jan Koopmans
- Department of Neurosurgery, Martini Hospital, Groningen, The Netherlands
| | - Mark Ter Laan
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Pierre A J T Robe
- Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
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23
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De Witt Hamer P, Ho V, Zwinderman K, Ackermans L, Ardon H, Boomstra S, Bouwknegt W, van den Brink W, Dirven C, van der Gaag N, van der Veer O, Idema B, Kloet F, Koopmans J, ter Laan M, Verstegen M, Wagemakers M, Robe P. SURG-07. BETWEEN-HOSPITAL VARIATION IN MORTALITY AND SURVIVAL AFTER GLIOBLASTOMA SURGERY. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy148.1043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Philip De Witt Hamer
- Neurosurgical Center Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | - Vincent Ho
- Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, Netherlands
| | - Koos Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, Netherlands
| | - Linda Ackermans
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, St Elisabeth Hospital, Tilburg, Netherlands
| | - Sytske Boomstra
- Department of Neurosurgery, Medical Spectrum Twente, Enschede, Netherlands
| | - Wim Bouwknegt
- Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, Netherlands
| | | | - Clemens Dirven
- Dept. of Neurosurgery, Brain Tumor Center, Erasmus Medical Center, Rotterdam, Netherlands
| | - Niels van der Gaag
- HAGA Teaching Hospital; Leiden University Medical Center, Den Haag, Netherlands
| | | | - Bas Idema
- Department of Neurosurgery, Northwest Clinics, Alkmaar, Netherlands
| | - Fred Kloet
- Department of Neurosurgery, Medical Center Haaglanden, Den Haag, Netherlands
| | - Jan Koopmans
- Department of neurosurgery, Martini Hospital, Groningen, Netherlands
| | - Mark ter Laan
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Michiel Wagemakers
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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24
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Müller D, Robe P, van den Brink W, Ardon H, Idema B, Kloet F, Wagemakers M, Barkhof F, Vandertop P, Bello L, Conti Nibali M, Rossi M, Sciortino T, Widhalm G, Kiesel B, Han S, Mandonnet E, Berger M, de Witt Hamer P. P01.062 Probability maps of glioblastoma indicate variation in surgical decisions between twelve surgical teams. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy139.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- D Müller
- VU University medical center, Amsterdam, Netherlands
| | - P Robe
- University Medical Center Utrecht, Utrecht, Netherlands
| | | | - H Ardon
- Elisabeth Tweesteden Ziekenhuis, Tilburg, Netherlands
| | - B Idema
- NoordWestZiekenhuis, Alkmaar, Netherlands
| | - F Kloet
- Haagsch Medisch Centrum, The Hague, Netherlands
| | - M Wagemakers
- Universitair Medisch Centrum Groningen, Groningen, Netherlands
| | - F Barkhof
- VU University medical center, Amsterdam, Netherlands
| | - P Vandertop
- VU University medical center, Amsterdam, Netherlands
| | - L Bello
- Humanitas Research Hospital, Milano, Italy
| | | | - M Rossi
- Humanitas Research Hospital, Milano, Italy
| | | | - G Widhalm
- Medical University Vienna, Vienna, Austria
| | - B Kiesel
- Medical University Vienna, Vienna, Austria
| | - S Han
- University of California San Francisco, San Francisco, CA, United States
| | | | - M Berger
- University of California San Francisco, San Francisco, CA, United States
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25
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Affiliation(s)
- F A Lobo
- Department of Anaesthesiology, Hospital Geral de Santo António - Centro Hospitalar do Porto, Porto, Portugal
| | - M Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A R Absalom
- Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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26
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Conroy S, Kruyt FAE, Wagemakers M, Bhat KPL, den Dunnen WFA. IL-8 associates with a pro-angiogenic and mesenchymal subtype in glioblastoma. Oncotarget 2018; 9:15721-15731. [PMID: 29644004 PMCID: PMC5884659 DOI: 10.18632/oncotarget.24595] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Accepted: 02/10/2018] [Indexed: 12/20/2022] Open
Abstract
Glioblastoma (GBM) is a highly aggressive brain tumor characterized by a high rate of vascularization. However, therapeutic targeting of the vasculature through anti-vascular endothelial growth factor (VEGF) treatment has been disappointing, for which Angiopoietin-2 (Ang-2) upregulation has partly been held accountable. In this study we therefore explored the interplay of Ang-2 and VEGFA and their effect on angiogenesis in GBM, especially in the context of molecular subclasses. In a large patient cohort we identified that especially combined high expression of Ang-2 and VEGFA predicted poor overall survival of GBM patients. The high expression of both factors was also associated with increased IL-8 expression in GBM tissues, but in vitro stimulation with Ang-2 and/or VEGFA did not indicate tumor or endothelial cell-specific IL-8 responses. Glioblastoma stem cells (GSCs) of the mesenchymal (MES) subtype showed dramatically higher expression of IL8 when compared to proneural (PN) GSCs. Secreted IL-8 derived from MES GSCs induced endothelial proliferation and tube formation, and the MES GBMs had increased counts of proliferating endothelial cells. Our results highlight a critical pro-angiogenic role of IL-8 in MES GBMs.
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Affiliation(s)
- Siobhan Conroy
- Department of Pathology and Medical Biology, Division of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Translational Molecular Pathology, The University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Frank A E Kruyt
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Michiel Wagemakers
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Krishna P L Bhat
- Department of Translational Molecular Pathology, The University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Wilfred F A den Dunnen
- Department of Pathology and Medical Biology, Division of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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27
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van Linde ME, Brahm CG, de Witt Hamer PC, Reijneveld JC, Bruynzeel AME, Vandertop WP, van de Ven PM, Wagemakers M, van der Weide HL, Enting RH, Walenkamp AME, Verheul HMW. Treatment outcome of patients with recurrent glioblastoma multiforme: a retrospective multicenter analysis. J Neurooncol 2017; 135:183-192. [PMID: 28730289 PMCID: PMC5658463 DOI: 10.1007/s11060-017-2564-z] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 07/13/2017] [Indexed: 11/26/2022]
Abstract
Glioblastoma multiforme (GBM) universally recurs with dismal prognosis. We evaluated the efficacy of standard treatment strategies for patients with recurrent GBM (rGBM). From two centers in the Netherlands, 299 patients with rGBM after first-line treatment, diagnosed between 2005 and 2014, were retrospectively evaluated. Four different treatment strategies were defined: systemic treatment (SYST), re-irradiation (RT), re-resection followed by adjuvant treatment (SURG) and best supportive care (BSC). Median OS for all patients was 6.5 months, and median PFS (excluding patients receiving BSC) was 5.5 months. Older age, multifocal lesions and steroid use were significantly associated with a shorter survival. After correction for confounders, patients receiving SYST (34.8%) and SURG (18.7%) had a significantly longer survival than patients receiving BSC (39.5%), 7.3 and 11.0 versus 3.1 months, respectively [HR 0.46 (p < 0.001) and 0.36 (p < 0.001)]. Median survival for patients receiving RT (7.0%) was 9.2 months, but this was not significantly different from patients receiving BSC (p = 0.068). Patients receiving SURG compared to SYST had a longer PFS (9.0 vs. 4.3 months, respectively; p < 0.001), but no difference in OS was observed. After adjustments for confounders, patients with rGBM selected for treatment with SURG or SYST do survive significantly longer than patients who are selected for BSC based on clinical parameters. The value of reoperation versus systemic treatment strategies needs further investigation.
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Affiliation(s)
- Myra E van Linde
- Department of Medical Oncology, Cancer Center Amsterdam, VU University Medical Center, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Cyrillo G Brahm
- Department of Medical Oncology, Cancer Center Amsterdam, VU University Medical Center, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands
- Department of Medical Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Philip C de Witt Hamer
- Department of Neurosurgery, Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Jaap C Reijneveld
- Department of Neurology, Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Anna M E Bruynzeel
- Department of Radiotherapy, Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - W Peter Vandertop
- Department of Neurosurgery, Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Peter M van de Ven
- Department of Epidemiology and Statistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Groningen, The Netherlands
| | - Hiske L van der Weide
- Department of Radiotherapy, University Medical Center Groningen, Groningen, The Netherlands
| | - Roelien H Enting
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
| | - Annemiek M E Walenkamp
- Department of Medical Oncology, University Medical Center Groningen, Groningen, The Netherlands
| | - Henk M W Verheul
- Department of Medical Oncology, Cancer Center Amsterdam, VU University Medical Center, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands.
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Conroy S, Wagemakers M. ANGI-05. ANGIOPOIETIN-2 AND VEGFA ASSOCIATE WITH SURVIVAL AND A PRO-ANGIOGENIC PHENOTYPE IN GLIOBLASTOMA. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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van Linde ME, Brahm CG, de Witt Hamer PC, Reijneveld JC, Bruynzeel AM, Wagemakers M, van der Weide HL, Enting RH, Verheul HM, Walenkamp AM. P08.71 Treatment outcome of patients with recurrent glioblastoma multiforme: a retrospective multicenter analysis. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now188.204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Conroy S, Wagemakers M, Walenkamp AME, Kruyt FAE, den Dunnen WFA. Novel insights into vascularization patterns and angiogenic factors in glioblastoma subclasses. J Neurooncol 2016; 131:11-20. [PMID: 27633774 PMCID: PMC5258811 DOI: 10.1007/s11060-016-2269-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 08/29/2016] [Indexed: 11/26/2022]
Abstract
Glioblastoma (GBM) is a highly vascularized and aggressive type of primary brain tumor in adults with dismal survival. Molecular subtypes of GBM have been identified that are related to clinical outcome and response to therapy. Although the mesenchymal type has been ascribed higher angiogenic activity, extensive characterization of the vascular component in GBM subtypes has not been performed. Therefore, we aimed to investigate the differential vascular status and angiogenic signaling levels in molecular subtypes. GBM tissue samples representing proneural IDH1 mutant, classical-like and mesenchymal-like subtypes were analyzed by morphometry for the number of vessels, vessel size and vessel maturity. Also the expression levels of factors from multiple angiogenic signaling pathways were determined. We found that necrotic and hypoxic areas were relatively larger in mesenchymal-like tumors and these tumors also had larger vessels. However, the number of vessels, basement membrane deposition and pericyte coverage did not vary between the subtypes. Regarding signaling patterns the majority of factors were expressed at similar levels in the subtypes, and only ANGPT2, MMP2, TIMP1, VEGFA and MMP9/TIMP2 were higher expressed in GBMs of the classical-like subtype. In conclusion, although morphological differences were observed between the subtypes, the angiogenic signaling status of GBM subtypes seemed to be rather similar. These results challenge the concept of mesenchymal GBMs being more angiogenic than other subclasses.
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Affiliation(s)
- Siobhan Conroy
- Department of Pathology and Medical Biology (Division of Pathology), University of Groningen, University Medical Center Groningen, HPC EA10, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands.
| | - Michiel Wagemakers
- Department of Neurosurgery, University of Goningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Annemiek M E Walenkamp
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Frank A E Kruyt
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Wilfred F A den Dunnen
- Department of Pathology and Medical Biology (Division of Pathology), University of Groningen, University Medical Center Groningen, HPC EA10, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
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Joseph JV, van Roosmalen IAM, Busschers E, Tomar T, Conroy S, Eggens-Meijer E, Peñaranda Fajardo N, Pore MM, Balasubramanyian V, Wagemakers M, Copray S, den Dunnen WFA, Kruyt FAE. Serum-Induced Differentiation of Glioblastoma Neurospheres Leads to Enhanced Migration/Invasion Capacity That Is Associated with Increased MMP9. PLoS One 2015; 10:e0145393. [PMID: 26700636 PMCID: PMC4689519 DOI: 10.1371/journal.pone.0145393] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2014] [Accepted: 12/03/2015] [Indexed: 12/14/2022] Open
Abstract
Glioblastoma (GBM) is a highly infiltrative brain tumor in which cells with properties of stem cells, called glioblastoma stem cells (GSCs), have been identified. In general, the dominant view is that GSCs are responsible for the initiation, progression, invasion and recurrence of this tumor. In this study, we addressed the question whether the differentiation status of GBM cells is associated with their invasive capacity. For this, several primary GBM cell lines were used, cultured either as neurospheres known to enrich for GSCs or in medium supplemented with 10% FCS that promotes differentiation. The differentiation state of the cells was confirmed by determining the expression of stem cell and differentiation markers. The migration/invasion potential of these cells was tested using in vitro assays and intracranial mouse models. Interestingly, we found that serum-induced differentiation enhanced the invasive potential of GBM cells, which was associated with enhanced MMP9 expression. Chemical inhibition of MMP9 significantly reduced the invasive potential of differentiated cells in vitro. Furthermore, the serum-differentiated cells could revert back to an undifferentiated/stem cell state that were able to form neurospheres, although with a reduced efficiency as compared to non-differentiated counterparts. We propose a model in which activation of the differentiation program in GBM cells enhances their infiltrative potential and that depending on microenvironmental cues a significant portion of these cells are able to revert back to an undifferentiated state with enhanced tumorigenic potential. Thus, effective therapy should target both GSCs and differentiated offspring and targeting of differentiation-associated pathways may offer therapeutic opportunities to reduce invasive growth of GBM.
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Affiliation(s)
- Justin V. Joseph
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ingrid A. M. van Roosmalen
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Pharmacy, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ellen Busschers
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Tushar Tomar
- Department of Gynecologic Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Siobhan Conroy
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ellie Eggens-Meijer
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Natalia Peñaranda Fajardo
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Milind M. Pore
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Veerakumar Balasubramanyian
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Michiel Wagemakers
- Department of Neuro-surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sjef Copray
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Wilfred F. A. den Dunnen
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Frank A. E. Kruyt
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail:
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Jeltema HR, Bakker NA, Bijl HP, Wagemakers M, Metzemaekers JDM, van Dijk JMC. Near total extirpation of vestibular schwannoma with salvage radiosurgery. Laryngoscope 2015; 125:1703-7. [PMID: 25583352 DOI: 10.1002/lary.25115] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2014] [Indexed: 11/09/2022]
Abstract
OBJECTIVES/HYPOTHESIS The management of a sporadic vestibular schwannoma (VS) has changed with the introduction of stereotactic radiosurgery (SRS). Because functional outcome is important, particularly regarding the facial nerve, a policy of near-total surgical resection of a large-size VS has emerged, minimizing damage to the facial nerve. The debate remains whether the surgical remnant should be treated immediately or after established growth. STUDY DESIGN Retrospective case series. METHODS A consecutive cohort of 55 patients underwent a retrosigmoid craniotomy and near-total removal of a large-size VS at our university medical center between 2005 and 2011 and had a follow-up of a least 3 years. Documented growth of the VS remnant after surgery necessitating adjuvant SRS was the primary outcome measure using analysis of variance. RESULTS In 45 patients (81.8%), a small tumor remnant was left during surgery. The mean preoperative tumor volume was 12.2 cm(3) (range, 1.13-50.16 cm(3)); the mean volume of the remnant was 0.22 cm(3) (range, 0-1.52 cm(3)). The mean postoperative follow-up time was 35.4 months (range, 3-76 months). Salvage SRS was deemed necessary in seven patients (13.0%). The size of the postoperative tumor remnant was a significant predictor for the necessity of postoperative adjuvant SRS. Normal facial nerve function (House-Brackmann [HB] I) was preserved in 30 patients (57.7%), 17 patients (32.7%) experienced a permanent mild facial nerve deficit (HB II, III), and five patients (9.6%) experienced a severe facial nerve deficit (HB grade IV-VI). CONCLUSIONS Initial observation after near total surgical removal of VS is a feasible strategy, with only a minority requiring salvage radiosurgery during follow-up.
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Affiliation(s)
- Hanne Rinck Jeltema
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nicolaas A Bakker
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Hendrik P Bijl
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jan D M Metzemaekers
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - J Marc C van Dijk
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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Joseph JV, Conroy S, Pavlov K, Sontakke P, Tomar T, Eggens-Meijer E, Balasubramaniyan V, Wagemakers M, den Dunnen WFA, Kruyt FAE. Hypoxia enhances migration and invasion in glioblastoma by promoting a mesenchymal shift mediated by the HIF1α-ZEB1 axis. Cancer Lett 2015; 359:107-16. [PMID: 25592037 DOI: 10.1016/j.canlet.2015.01.010] [Citation(s) in RCA: 211] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Revised: 12/23/2014] [Accepted: 01/06/2015] [Indexed: 12/17/2022]
Abstract
Glioblastoma (GBM) is the most common brain tumor in adults and the mesenchymal GBM subtype was reported to be the most malignant, presenting severe hypoxia and necrosis. Here, we investigated the possible role of a hypoxic microenvironment for inducing a mesenchymal and invasive phenotype. The exposure of non-mesenchymal SNB75 and U87 cells to hypoxia induced a strong change in cell morphology that was accompanied by enhanced invasive capacity and the acquisition of mesenchymal marker expression. Further analyses showed the induction of HIF1α and HIF2α by hypoxia and exposure to digoxin, a cardiac glycoside known to inhibit HIF1/2 expression, was able to prevent hypoxia-induced mesenchymal transition. ShRNA-mediated knockdown of HIF1α, and not HIF2α, prevented this transition, as well as the knockdown of the EMT transcription factor ZEB1. We provide further evidence for a hypoxia-induced mesenchymal shift in GBM primary material by showing co-localization of GLUT1, ZEB1 and the mesenchymal marker YKL40 in hypoxic regions of the tumor. Collectively, our results identify a HIF1α-ZEB1 signaling axis that promotes hypoxia induced mesenchymal shift and invasion in GBM in a cell line dependent fashion.
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Affiliation(s)
- Justin V Joseph
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Siobhan Conroy
- Department of Pathology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Kirill Pavlov
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Pallavi Sontakke
- Department of Experimental Hematology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Tushar Tomar
- Department of Gynecologic Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Ellie Eggens-Meijer
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Veerakumar Balasubramaniyan
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Michiel Wagemakers
- Department of Neuro-surgery, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Wilfred F A den Dunnen
- Department of Pathology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Frank A E Kruyt
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.
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Conroy S, Kruyt FAE, Joseph JV, Balasubramaniyan V, Bhat KP, Wagemakers M, Enting RH, Walenkamp AME, den Dunnen WFA. Subclassification of newly diagnosed glioblastomas through an immunohistochemical approach. PLoS One 2014; 9:e115687. [PMID: 25546404 PMCID: PMC4278713 DOI: 10.1371/journal.pone.0115687] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Accepted: 11/26/2014] [Indexed: 01/26/2023] Open
Abstract
Molecular signatures in Glioblastoma (GBM) have been described that correlate with clinical outcome and response to therapy. The Proneural (PN) and Mesenchymal (MES) signatures have been identified most consistently, but others including Classical (CLAS) have also been reported. The molecular signatures have been detected by array techniques at RNA and DNA level, but these methods are costly and cannot take into account individual contributions of different cells within a tumor. Therefore, the aim of this study was to investigate whether subclasses of newly diagnosed GBMs could be assessed and assigned by application of standard pathology laboratory procedures. 123 newly diagnosed GBMs were analyzed for the tumor cell expression of 23 pre-identified proteins and EGFR amplification, together allowing for the subclassification of 65% of the tumors. Immunohistochemistry (IHC)-based profiling was found to be analogous to transcription-based profiling using a 9-gene transcriptional signature for PN and MES subclasses. Based on these data a novel, minimal IHC-based scheme for subclass assignment for GBMs is proposed. Positive staining for IDH1R132H can be used for PN subclass assignment, high EGFR expression for the CLAS subtype and a combined high expression of PTEN, VIM and/or YKL40 for the MES subclass. The application of the proposed scheme was evaluated in an independent tumor set, which resulted in similar subclass assignment rates as those observed in the training set. The IHC-based subclassification scheme proposed in this study therefore could provide very useful in future studies for stratification of individual patient samples.
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Affiliation(s)
- Siobhan Conroy
- Department of Pathology and Medical Biology (Division of Pathology), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail:
| | - Frank A. E. Kruyt
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Justin V. Joseph
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Veerakumar Balasubramaniyan
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Krishna P. Bhat
- Department of Pathology, University of Texas, MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Michiel Wagemakers
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Roelien H. Enting
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Annemiek M. E. Walenkamp
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Wilfred F. A. den Dunnen
- Department of Pathology and Medical Biology (Division of Pathology), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Potgieser ARE, de Jong BM, Wagemakers M, Hoving EW, Groen RJM. Insights from the supplementary motor area syndrome in balancing movement initiation and inhibition. Front Hum Neurosci 2014; 8:960. [PMID: 25506324 PMCID: PMC4246659 DOI: 10.3389/fnhum.2014.00960] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Accepted: 11/11/2014] [Indexed: 11/24/2022] Open
Abstract
The supplementary motor area (SMA) syndrome is a characteristic neurosurgical syndrome that can occur after unilateral resection of the SMA. Clinical symptoms may vary from none to a global akinesia, predominantly on the contralateral side, with preserved muscle strength and mutism. A remarkable feature is that these symptoms completely resolve within weeks to months, leaving only a disturbance in alternating bimanual movements. In this review we give an overview of the old and new insights from the SMA syndrome and extrapolate these findings to seemingly unrelated diseases and symptoms such as Parkinson's disease (PD) and tics. Furthermore, we integrate findings from lesion, stimulation and functional imaging studies to provide insight in the motor function of the SMA.
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Affiliation(s)
- A. R. E. Potgieser
- Department of Neurosurgery, University Medical Center Groningen, University of GroningenGroningen, Netherlands
| | - B. M. de Jong
- Department of Neurology, University Medical Center Groningen, University of GroningenGroningen, Netherlands
| | - M. Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, University of GroningenGroningen, Netherlands
| | - E. W. Hoving
- Department of Neurosurgery, University Medical Center Groningen, University of GroningenGroningen, Netherlands
| | - R. J. M. Groen
- Department of Neurosurgery, University Medical Center Groningen, University of GroningenGroningen, Netherlands
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Conroy S, Wagemakers M, Kruyt F, Walenkamp A. AI-07 * GLIOBLASTOMA SUBTYPES DO NOT EXPLOIT DIFFERENTIAL ANGIOGENIC SIGNALING PATHWAYS NOR ARE THE VESSELS FUNCTIONALLY DIFFERENT. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou238.7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Bakker NA, Van Dijk JMC, Immenga S, Wagemakers M, Metzemaekers JDM. Repeat microvascular decompression for recurrent idiopathic trigeminal neuralgia. J Neurosurg 2014; 121:936-9. [DOI: 10.3171/2014.7.jns132667] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Object
Microvascular decompression (MVD) is considered the method of choice to treat idiopathic trigeminal neuralgia (TN) refractory to medical treatment. However, repeat MVD for recurrent TN is not well established. In this paper, the authors describe a large case series in which patients underwent repeat MVD for recurrent TN, focusing on outcome, risk factors, and complication rates.
Methods
Between 1990 and 2012, a total of 33 consecutive patients underwent repeat MVD for recurrent TN at the University Medical Center Groningen. The authors performed a retrospective chart review and telephone interviews. Risk factors were analyzed by binary logistic regression analysis.
Results
After 12 months of follow-up, 22 (67%) operations were successful, of which 19 patients were completely free of pain without medication. With multivariate analysis significant risk factors for success were older age (OR 1.11, p < 0.01) and direct absence of pain after repeat MVD (OR 25.2, p < 0.01). Previous neurodestructive procedures did not influence success rates. Facial numbness occurred in 9 patients (27%), while other morbidity was minimal. There was no mortality.
Conclusions
This study demonstrates that repeat MVD is a feasible therapeutic option with good chances of success, even in patients who have undergone neurodestructive procedures. Complication rates, particularly facial numbness, can be avoided if only a limited neurolysis is performed.
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Jeltema HR, Bakker N, Bijl H, Wagemakers M, Metzemaekers J, Van Dijk J. Feasibility of Near-Total Extirpation of Vestibular Schwannoma with Salvage Radiosurgery. Skull Base Surg 2014. [DOI: 10.1055/s-0034-1384160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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den Hollander MW, Enting RH, de Groot JC, Solouki MA, den Dunnen WF, Sluiter WJ, Heesters MA, Wagemakers M, Gietema JA, De Vries E, Pruim J, Walenkamp AME. Prospective analysis of serial FLT-PET scanning to discriminate between true and pseudoprogression in glioblastoma. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.2009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | - Roelien H. Enting
- Department of Neurology, University Medical Center Groningen, Groningen, Netherlands
| | - Jan Cees de Groot
- Department of Radiology, University Medical Center Groningen, Groningen, Netherlands
| | - Millad A. Solouki
- Department of Radiology, University Medical Center Groningen, Groningen, Netherlands
| | | | - Wim J. Sluiter
- Department of Endocrinology, University Medical Center Groningen, Groningen, Netherlands
| | | | - Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Groningen, Netherlands
| | - Jourik A. Gietema
- Department of Medical Oncology, University Medical Center Groningen, Groningen, Netherlands
| | | | - Jan Pruim
- University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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Bakker NA, van Dijk JMCM, Wagemakers M, van der Weide HL, Beese U, Metzemaekers JDM. [Treatment of trigeminal neuralgia]. Ned Tijdschr Geneeskd 2014; 158:A7468. [PMID: 24893812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Classic idiopathic trigeminal neuralgia is characterized by sharp unilateral shooting pain in the distribution of one or more branches of the trigeminal nerve. It involves a diagnosis of exclusion. Initially, therapy consists of medical therapy, preferably with carbamazepine or oxcarbazepine. For patients refractory to medical therapy, microvascular decompression of the trigeminal nerve provides the best long-term outcomes, at a relatively low complication risk. In case of surgical contraindications, there are other options: radiosurgery or a neurodestructive procedure of the trigeminal ganglion. Short-term outcomes after neurodestructive therapy are good, however effects diminish over time. Every patient with idiopathic trigeminal neuralgia in whom medical therapy has failed, should be counselled at an experienced centre in which neurosurgical treatment is available.
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van Dijk JMC, Wagemakers M, Korsten-Meijer AGW, Kees Buiter CT, van der Laan BFAM, Mooij JJA. Cranialization of the frontal sinus--the final remedy for refractory chronic frontal sinusitis. J Neurosurg 2011; 116:531-5. [PMID: 22175720 DOI: 10.3171/2011.11.jns101849] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT Chronic sinusitis can be a debilitating disease with significant impact on quality of life. Frontal sinusitis has a relatively low prevalence, but complications can be severe due to its anatomical location. After failure of conservative measures, typically endoscopic procedures are performed to improve the drainage of the frontal sinus. The cranialization of the frontal sinus is the final surgical measure, in which the affected frontal sinus is truly removed. In this study the authors describe the surgical technique of cranialization of the frontal sinus for refractory chronic frontal sinusitis, systematically search the literature for its application, and assess patient satisfaction in a cohort of consecutively treated patients after long-term follow-up. METHODS A consecutive cohort of 15 patients with refractory chronic frontal sinusitis was treated by cranialization of the frontal sinus and followed over a 20-year period (1989-2008) for the direct results and complications of the surgery. Long-term follow-up (mean 6.5 years) was obtained to assess the long-term effects of the cranialization. RESULTS In all patients the signs and symptoms of chronic frontal sinusitis responded very well to the cranialization. Five patients had surgical complications, of which 2 were serious. One patient died of an unrelated cause and 1 patient was lost to follow-up. The remaining 13 patients had a long-term follow-up, which revealed that 12 of them thought that their life was better after the surgical procedure. CONCLUSIONS Cranialization of the frontal sinus deserves consideration as the final remedy for refractory chronic frontal sinusitis after definite failure of other options.
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Affiliation(s)
- J Marc C van Dijk
- Department of Neurosurgery, University Medical Center Groningen, PO Box 30001, 9700 RB Groningen, The Netherlands.
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Abstract
OBJECT This study aimed to characterize the pediatric intracranial ependymoma vasculature in terms of angiogenic activity and maturation status so as to provide indications for the applicability of vessel-targeted therapy in cases of pediatric intracranial ependymoma. METHODS Tumor samples obtained in patients with ependymomas were immunohistochemically (double) stained for Ki 67/CD34, caspase 3a/CD34, vascular endothelial growth factor (VEGF)-A, -B, -C, -D, collagen Type IV, and smooth muscle actin to determine microvessel density, tumor and endothelial cell proliferation and apoptotic fraction, the relative expression of VEGF family members, and the coverage of the tumor endothelial cells by basal membrane and pericytes. Messenger RNA expression of angiopoietin-1 and -2 was analyzed by real-time reverse transcriptase polymerase chain reaction. These data were compared with those obtained in a glioblastoma series. RESULTS Despite a low endothelial cell turnover, the microvessel density of ependymomas was similar to that of glioblastomas. In ependymomas the expression of VEGF-A was within the range of the variable expression in glioblastomas. The staining intensities of VEGF-B, -C, and -D in ependymomas were significantly lower (p < 0.001). The expression of angiopoietin-1 was higher in ependymomas than in glioblastomas (p = 0.03), whereas angiopoietin-2 expression was similar. The coverage of tumor endothelial cells with basal membrane and pericytes was more complete in ependymomas (p = 0.009 and p = 0.022, respectively). CONCLUSIONS The ependymoma vasculature is relatively mature and has little angiogenic activity compared with malignant gliomas. Therefore, the window for vessel normalization as a therapeutic aim might be considered small. However, the status of the tumor vasculature may not be a reliable predictor of treatment effect. Therefore, possible benefits of antiangiogenic treatment cannot be excluded beforehand in patients with ependymomas.
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Affiliation(s)
- Michiel Wagemakers
- Department of Neurosurgery, University Medical Center Groningen, Groningen, The Netherlands.
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Sie M, Wagemakers M, Molema G, Mooij JJA, de Bont ESJM, den Dunnen WFA. The angiopoietin 1/angiopoietin 2 balance as a prognostic marker in primary glioblastoma multiforme. J Neurosurg 2009; 110:147-55. [PMID: 18991494 DOI: 10.3171/2008.6.17612] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECT In the present study, the authors analyzed the ANGPT1/ANGPT2 balance in the context of therapeutic outcome in 62 patients with primary glioblastomas multiforme (GBMs). METHODS The tumor tissue used was obtained in adult patients who underwent neurosurgical debulking. Microvessel density was assessed by morphometric analysis. Double immunostaining for Ki 67/CD34 and cleaved caspase-3/CD34 was used to investigate the proliferation and apoptotic fraction of both endothelial and tumor cells. The expression of VEGFs (A-D) was evaluated on immunohistochemistry. To measure tumor vascular stabilization, the ANGPT1/ANGPT2 mRNA balance was determined using real-time reverse transcriptase polymerase chain reaction. RESULTS Within the hypoxic perinecrotic tumor area, the apoptotic fraction of endothelial cells was positively correlated with VEGFA expression (p < 0.001). Higher levels of VEGFA correlated with greater proliferation of endothelial cells in the intermediate tumor area (p = 0.031). Vascular endothelial growth factor D was significantly more highly expressed within the perinecrotic tumor area compared with the intermediate tumor area (p < 0.001). Multivariate analysis showed a significant association between the ANGPT1/ANGPT2 balance and the survival time of patients with GBMs (p = 0.035). CONCLUSIONS The results of the present study suggest that the ANGPT1/ANGPT2 balance has prognostic value in patients with primary GBMs. The authors' findings support the need for further studies of the feasibility of antiangiogenic therapy in primary GBMs, with a special focus on the normalization of tumor vasculature.
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Affiliation(s)
- Mariska Sie
- Department of Pediatrics, Pediatric Oncology Division, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, The Netherlands
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Wagemakers M, Verhagen W, Borne BVD, Venderink D, Wauters C, Strobbe L. Bilateral profound hearing loss due to meningeal carcinomatosis. J Clin Neurosci 2006; 12:315-8. [PMID: 15851093 DOI: 10.1016/j.jocn.2004.07.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2003] [Accepted: 07/30/2004] [Indexed: 10/25/2022]
Abstract
Meningeal carcinomatosis (MC) is an uncommon form of metastasis of solid tumors. Hearing loss as the presenting symptom of MC is very uncommon. A patient with an esophageal signet ring cell carcinoma 3 years previously presented with sudden onset of profound hearing loss affecting both ears. He had no evidence of local tumor recurrence. Brain magnetic resonance imaging (MRI) showed swelling and increased signal intensity on T2 weighted images of both acoustic nerves and the right trigeminal nerve. After gadolinium administration, enhancement of both acoustic and trigeminal nerves was seen. He later developed unsteadiness and head-movement-dependent oscillopsia due to vestibular areflexia and diplopia. At that time MRI showed leptomeningeal enhancement. MC was diagnosed, although cerebrospinal fluid cytology could not confirm that diagnosis. The patient died 16 weeks after the onset of deafness. In patients with progressive unilateral and bilateral hearing loss, meningeal carcinomatosis should be considered, especially if there is a history of previous malignancy.
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Affiliation(s)
- Michiel Wagemakers
- Department of Neurology, Canisius-Wilhelmina Hospital, Nijmegen, The Netherlands
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de Vroege R, Wagemakers M, te Velthuis H, Bulder E, Paulus R, Huybregts R, Wildevuur W, Eijsman L, van Oeveren W, Wildevuur C. Comparison of three commercially available hollow fiber oxygenators: gas transfer performance and biocompatibility. ASAIO J 2001; 47:37-44. [PMID: 11199313 DOI: 10.1097/00002480-200101000-00010] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The new generation of oxygenators have improved blood flow pathways that enable reduction in priming volume and, thus, hemodilution during cardiopulmonary bypass (CPB). We evaluated three oxygenators and two sizes of venous reservoirs in relation to priming volume, gas transfer, and blood activation. To compare priming volume, gas transfer, and biocompatibility of three hollow fiber oxygenators and two different size venous reservoirs, 60 patients were randomly allocated in groups to undergo cardiopulmonary bypass. In each group, an oxygenator with a different surface area and priming volume was used: 1.8 m2 and 220 ml (group 1, n = 23), 2.2 m2 and 290 ml (group 2, n = 20), and 2.5 m2 and 270 ml (group 3, n = 17). In groups 1 and 3, a large soft shell (1900 ml) venous reservoir was used, whereas in group 2, a smaller soft shell (600 ml) venous reservoir was used. Gas transfer was assessed by calculating the oxygen transfer rate for each group and per square meter for each oxygenator group. Partial arterial oxygen pressure (paO2) and partial arterial carbon dioxide pressure (paCO2) between the groups were assessed with forward stepwise regression analysis. Biocompatibility was evaluated through measurement of platelet numbers, complement activation products (C3b/c), coagulation (thrombin anti-thrombin III complex), and fibrinolysis (plasmin anti-plasmin complex). No differences were found in oxygen transfer rate per group. However, when correcting the oxygen transfer rate for surface area, group 1 demonstrated a higher oxygen transfer rate compared with group 2 (p < 0.05) at an FiO2 of 40 and 60% and compared with group 3 at an FiO2 of 60 and 70%. The regression analysis showed that the average arterial PO2 was the highest in group 3, i.e., 79.2 mm Hg higher than in group 1 (p < 0.001) and 73.5 mm Hg higher than in group 2 (p < 0.001). Group 3 also had the lowest average arterial pCO2, 0.57 mm Hg lower than in group 1 (p = 0.004) and 0.81 mm Hg lower than in group 2 (p < 0.001). During CPB, platelet numbers decreased significantly in all groups (p < 0.001), without differences between the groups. C3b/c levels increased in all groups during CPB. At cessation of CPB the C3b/c level in group 2 (398 nmol/L(-1)) was significantly higher compared to group 1(251 nmol/L(-1); p < 0.05) and group 3 (303 nmol/L(-1); p < 0.05). Thrombin anti-thrombin III complexes and plasmin anti-plasmin complex complexes increased during CPB to significantly high levels at cessation of CPB, but there were no differences between the groups. The oxygenator with the smallest surface area and lowest priming volume (group 1) had the highest oxygen transfer rate per square meter and showed the least blood damage, as depicted by complement activation. The oxygenator with the largest blood contact surface area and improved geometric configuration (group 3) showed the lowest oxygen transfer rate per square meter. However, this oxygenator elevated oxygen partial pressure the most and reduced carbon dioxide partial pressure the most. In group 2, where a smaller venous reservoir was used, the highest blood activation was observed.
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Affiliation(s)
- R de Vroege
- Department of Extracorporeal Circulation, University Hospital Vrije Universiteit, Amsterdam, The Netherlands
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