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Wada H, Shimauchi-Ohtaki H, Tosaka M, Kawashima T, Osawa T, Osawa S, Horiguchi K, Nakata S, Yoshimoto Y. Comparison of Early Postoperative Diffusion Weighted Magnetic Resonance Imaging Findings After Resection of Gliomas and Meningiomas. World Neurosurg 2024; 186:e296-e304. [PMID: 38548056 DOI: 10.1016/j.wneu.2024.03.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 03/21/2024] [Indexed: 04/21/2024]
Abstract
OBJECTIVE Glioma and meningioma require vastly different surgical approaches, even if only involving a simple craniotomy procedure. Diffusion weighted imaging (DWI) is useful for the postoperative evaluation of ischemic damage. The present study evaluated the expected but unproven differences in DWI findings. METHODS A total of 41 patients with meningiomas and 63 with gliomas met the inclusion criteria for adult cases with superficial lesions treated through simple supratentorial craniotomy. Postoperative DWI findings of DWI-positive rate, DWI-positive area type, and relationship with neurological deficits were evaluated. RESULTS The DWI-positive rate (P = 0.01) and the proportion of rim-type lesions (P < 0.01) were significantly more common in gliomas. Patients with meningiomas and DWI-positive areas presented with higher rates of new neurological deficits (P < 0.01), and patients with meningiomas on the left side were more likely to develop new neurological deficits (P = 0.02). Patients with gliomas tended to develop new deficits with larger DWI-positive area volumes (P = 0.04). CONCLUSIONS Postoperative early DWI-positive rate and rim-type lesions are more common after glioma resection than meningioma resection. Larger volumes of DWI-positive areas may be associated with postoperative neurological symptoms in gliomas. DWI-positive finding is less common after meningioma than glioma resection but more likely to be associated with new neurological symptoms. These differences are important for adequate postoperative DWI evaluation of common supratentorial brain tumors.
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Affiliation(s)
- Hajime Wada
- Department of Neurosurgery, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Hiroya Shimauchi-Ohtaki
- Department of Neurosurgery, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
| | - Masahiko Tosaka
- Department of Neurosurgery, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Takahiro Kawashima
- Department of Neurosurgery, Tatebayashi Kosei General Hospital, Tatebayashi, Gunma, Japan
| | - Tadashi Osawa
- Department of Neurosurgery, Hidaka Hospital, Takasaki, Gunma, Japan
| | - Sho Osawa
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Chuo-Ku, Tokyo, Japan
| | - Keishi Horiguchi
- Department of Neurosurgery, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Satoshi Nakata
- Department of Neurosurgery, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
| | - Yuhei Yoshimoto
- Department of Neurosurgery, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan
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Otsuji R, Fujioka Y, Hata N, Kuga D, Hatae R, Sangatsuda Y, Nakamizo A, Mizoguchi M, Yoshimoto K. Liquid Biopsy for Glioma Using Cell-Free DNA in Cerebrospinal Fluid. Cancers (Basel) 2024; 16:1009. [PMID: 38473369 DOI: 10.3390/cancers16051009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/24/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
Glioma is one of the most common primary central nervous system (CNS) tumors, and its molecular diagnosis is crucial. However, surgical resection or biopsy is risky when the tumor is located deep in the brain or brainstem. In such cases, a minimally invasive approach to liquid biopsy is beneficial. Cell-free DNA (cfDNA), which directly reflects tumor-specific genetic changes, has attracted attention as a target for liquid biopsy, and blood-based cfDNA monitoring has been demonstrated for other extra-cranial cancers. However, it is still challenging to fully detect CNS tumors derived from cfDNA in the blood, including gliomas, because of the unique structure of the blood-brain barrier. Alternatively, cerebrospinal fluid (CSF) is an ideal source of cfDNA and is expected to contribute significantly to the liquid biopsy of gliomas. Several successful studies have been conducted to detect tumor-specific genetic alterations in cfDNA from CSF using digital PCR and/or next-generation sequencing. This review summarizes the current status of CSF-based cfDNA-targeted liquid biopsy for gliomas. It highlights how the approaches differ from liquid biopsies of other extra-cranial cancers and discusses the current issues and prospects.
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Affiliation(s)
- Ryosuke Otsuji
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Yutaka Fujioka
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Nobuhiro Hata
- Department of Neurosurgery, Oita University Faculty of Medicine, Yufu 879-5593, Japan
| | - Daisuke Kuga
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Ryusuke Hatae
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Yuhei Sangatsuda
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Akira Nakamizo
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Masahiro Mizoguchi
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Neurosurgery, National Hospital Organization Kyushu Medical Center, Clinical Research Institute, Fukuoka 810-8563, Japan
| | - Koji Yoshimoto
- Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
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3
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Roux A, Elia A, Aboubakr O, Moiraghi A, Simboli GA, Tauziede-Espariat A, Dezamis E, Parraga E, Benevello C, Fathallah H, Chretien F, Oppenheim C, Zanello M, Pallud J. Efficacy and Safety of Carmustine Wafer Implantation After Ventricular Opening in Glioblastomas, Isocitrate Dehydrogenase-Wildtype, in Adults. Neurosurgery 2024:00006123-990000000-01012. [PMID: 38189433 DOI: 10.1227/neu.0000000000002817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/17/2023] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND AND OBJECTIVES We assessed the impact of ventricular opening on postoperative complications and survival of carmustine wafer implantation during surgery of newly diagnosed supratentorial glioblastomas, isocitrate dehydrogenase (IDH)-wildtype in adults. METHODS We performed an observational, retrospective, single-center cohort study at a tertiary surgical neuro-oncological center between January 2006 and December 2021. RESULTS One hundred ninety-four patients who benefited from a first-line surgical resection with carmustine wafer implantation were included. Seventy patients (36.1%) had a ventricular opening. We showed that ventricular opening (1) did not increase overall postoperative complication rates (P = .201); (2) did not worsen the early postoperative Karnofsky Performance Status score (P = .068); (3) did not increase the time interval from surgery to adjuvant oncological treatment (P = .458); (4) did not affect the completion of the standard radiochemotherapy protocol (P = .164); (5) did not affect progression-free survival (P = .059); and (6) did not affect overall survival (P = .142). CONCLUSION In this study, ventricular opening during first-line surgical resection did not affect the survival and postoperative complications after use of carmustine wafer implantation in adult patients with a newly diagnosed supratentorial glioblastoma, IDH-wildtype. This warrants a prospective and multicentric study to clearly assess the impact of the ventricular opening after carmustine wafer implantation in glioblastoma, IDH-wildtype.
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Affiliation(s)
- Alexandre Roux
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Angela Elia
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Oumaima Aboubakr
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Alessandro Moiraghi
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Giorgia Antonia Simboli
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Arnault Tauziede-Espariat
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Service de Neuropathologie, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne, Paris, France
| | - Edouard Dezamis
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
| | - Eduardo Parraga
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
| | - Chiara Benevello
- Service de Neurochirurgie, Hôpital Européen de Paris - La Roseraie, Aubervilliers, France
| | - Houssem Fathallah
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
| | - Fabrice Chretien
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Service de Neuropathologie, GHU Paris Psychiatrie et Neurosciences, Site Sainte-Anne, Paris, France
| | - Catherine Oppenheim
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Service de Neuroradiologie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
| | - Marc Zanello
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Johan Pallud
- Service de Neurochirurgie, GHU Paris Psychiatrie et Neurosciences, Site Sainte Anne, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
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Karschnia P, Dietrich J, Bruno F, Dono A, Juenger ST, Teske N, Young JS, Sciortino T, Häni L, van den Bent M, Weller M, Vogelbaum MA, Morshed RA, Haddad AF, Molinaro AM, Tandon N, Beck J, Schnell O, Bello L, Hervey-Jumper S, Thon N, Grau SJ, Esquenazi Y, Rudà R, Chang SM, Berger MS, Cahill DP, Tonn JC. Surgical management and outcome of newly diagnosed glioblastoma without contrast enhancement (low-grade appearance): a report of the RANO resect group. Neuro Oncol 2024; 26:166-177. [PMID: 37665776 PMCID: PMC10768992 DOI: 10.1093/neuonc/noad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Resection of the contrast-enhancing (CE) tumor represents the standard of care in newly diagnosed glioblastoma. However, some tumors ultimately diagnosed as glioblastoma lack contrast enhancement and have a 'low-grade appearance' on imaging (non-CE glioblastoma). We aimed to (a) volumetrically define the value of non-CE tumor resection in the absence of contrast enhancement, and to (b) delineate outcome differences between glioblastoma patients with and without contrast enhancement. METHODS The RANO resect group retrospectively compiled a global, eight-center cohort of patients with newly diagnosed glioblastoma per WHO 2021 classification. The associations between postoperative tumor volumes and outcome were analyzed. Propensity score-matched analyses were constructed to compare glioblastomas with and without contrast enhancement. RESULTS Among 1323 newly diagnosed IDH-wildtype glioblastomas, we identified 98 patients (7.4%) without contrast enhancement. In such patients, smaller postoperative tumor volumes were associated with more favorable outcome. There was an exponential increase in risk for death with larger residual non-CE tumor. Accordingly, extensive resection was associated with improved survival compared to lesion biopsy. These findings were retained on a multivariable analysis adjusting for demographic and clinical markers. Compared to CE glioblastoma, patients with non-CE glioblastoma had a more favorable clinical profile and superior outcome as confirmed in propensity score analyses by matching the patients with non-CE glioblastoma to patients with CE glioblastoma using a large set of clinical variables. CONCLUSIONS The absence of contrast enhancement characterizes a less aggressive clinical phenotype of IDH-wildtype glioblastomas. Maximal resection of non-CE tumors has prognostic implications and translates into favorable outcome.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Jorg Dietrich
- Department of Neurology, Division of Neuro-Oncology, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX, USA
| | | | - Nico Teske
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Jacob S Young
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Tommaso Sciortino
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Levin Häni
- Department of Neurosurgery, Medical Center – University of Freiburg, Freiburg, Germany
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | | | - Ramin A Morshed
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Alexander F Haddad
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Annette M Molinaro
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX, USA
| | - Juergen Beck
- Department of Neurosurgery, Medical Center – University of Freiburg, Freiburg, Germany
| | - Oliver Schnell
- Department of Neurosurgery, Medical Center – University of Freiburg, Freiburg, Germany
| | - Lorenzo Bello
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Shawn Hervey-Jumper
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Niklas Thon
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, TX, USA
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | - Susan M Chang
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, LMU University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
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5
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Cuthbert H, Riley M, Bhatt S, Au-Yeung CK, Arshad A, Eladawi S, Zisakis A, Tsermoulas G, Watts C, Wykes V. Utility of a prognostic assessment tool to predict survival following surgery for brain metastases. Neurooncol Pract 2023; 10:586-591. [PMID: 38026583 PMCID: PMC10666803 DOI: 10.1093/nop/npad047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
Background Brain metastases account for more than 50% of all intracranial tumors and are associated with poor outcomes. Treatment decisions in this highly heterogenous cohort remain controversial due to the myriad of treatment options available, and there is no clearly defined standard of care. The prognosis in brain metastasis patients varies widely with tumor type, extracranial disease burden and patient performance status. Decision-making regarding treatment is, therefore, tailored to each patient and their disease. Methods This is a retrospective cohort study assessing survival outcomes following surgery for brain metastases over a 50-month period (April 1, 2014-June 30, 2018). We compared predicted survival using the diagnosis-specific Graded Prognostic Assessment (ds-GPA) with actual survival. Results A total of 186 patients were included in our cohort. Regression analysis demonstrated no significant correlation between actual and predicted outcome. The most common reason for exclusion was insufficient information being available to the neuro-oncology multidisciplinary team (MDT) meeting to allow GPA calculation. Conclusions In this study, we demonstrate that "predicted survival" using the ds-GPA does not correlate with "actual survival" in our operated patient cohort. We also identify a shortcoming in the amount of information available at MDT in order to implement the GPA appropriately. Patient selection for aggressive therapies is crucial, and this study emphasizes the need for treatment decisions to be individualized based on patient and cancer clinical characteristics.
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Affiliation(s)
- Hadleigh Cuthbert
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Max Riley
- University of Birmingham Medical School, Birmingham, UK
| | - Shreya Bhatt
- University of Birmingham Medical School, Birmingham, UK
| | | | - Ayesha Arshad
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Sondos Eladawi
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Athanasios Zisakis
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Georgios Tsermoulas
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Colin Watts
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Victoria Wykes
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
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6
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Teske N, Tonn JC, Karschnia P. How to evaluate extent of resection in diffuse gliomas: from standards to new methods. Curr Opin Neurol 2023; 36:564-570. [PMID: 37865849 DOI: 10.1097/wco.0000000000001212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2023]
Abstract
PURPOSE OF REVIEW Maximal safe tumor resection represents the current standard of care for patients with newly diagnosed diffuse gliomas. Recent efforts have highlighted the prognostic value of extent of resection measured as residual tumor volume in patients with isocitrate dehydrogenase (IDH)-wildtype and -mutant gliomas. Accurate assessment of such information therefore appears essential in the context of clinical trials as well as patient management. RECENT FINDINGS Current recommendations for evaluation of extent of resection rest upon standardized postoperative MRI including contrast-enhanced T1-weighted sequences, T2-weighted/fluid-attenuated-inversion-recovery sequences, and diffusion-weighted imaging to differentiate postoperative tumor volumes from ischemia and nonspecific imaging findings. In this context, correct timing of postoperative imaging within the postoperative period is of utmost importance. Advanced MRI techniques including perfusion-weighted MRI and MR-spectroscopy may add further insight when evaluating residual tumor remnants. Positron emission tomography (PET) using amino acid tracers proves beneficial in identifying metabolically active tumor beyond anatomical findings on conventional MRI. SUMMARY Future efforts will have to refine recommendations on postoperative assessment of residual tumor burden in respect to differences between IDH-wildtype and -mutant gliomas, and incorporate the emerging role of advanced imaging modalities like amino acid PET.
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Affiliation(s)
- Nico Teske
- Department of Neurosurgery, LMU University Hospital, LMU Munich
- German Cancer Consortium (DKTK), Partner Site, Munich, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, LMU University Hospital, LMU Munich
- German Cancer Consortium (DKTK), Partner Site, Munich, Germany
| | - Philipp Karschnia
- Department of Neurosurgery, LMU University Hospital, LMU Munich
- German Cancer Consortium (DKTK), Partner Site, Munich, Germany
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7
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Karschnia P, Dono A, Young JS, Juenger ST, Teske N, Häni L, Sciortino T, Mau CY, Bruno F, Nunez L, Morshed RA, Haddad AF, Weller M, van den Bent M, Beck J, Hervey-Jumper S, Molinaro AM, Tandon N, Rudà R, Vogelbaum MA, Bello L, Schnell O, Grau SJ, Chang SM, Berger MS, Esquenazi Y, Tonn JC. Prognostic evaluation of re-resection for recurrent glioblastoma using the novel RANO classification for extent of resection: A report of the RANO resect group. Neuro Oncol 2023; 25:1672-1685. [PMID: 37253096 PMCID: PMC10479742 DOI: 10.1093/neuonc/noad074] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND The value of re-resection in recurrent glioblastoma remains controversial as a randomized trial that specifies intentional incomplete resection cannot be justified ethically. Here, we aimed to (1) explore the prognostic role of extent of re-resection using the previously proposed Response Assessment in Neuro-Oncology (RANO) classification (based upon residual contrast-enhancing (CE) and non-CE tumor), and to (2) define factors consolidating the surgical effects on outcome. METHODS The RANO resect group retrospectively compiled an 8-center cohort of patients with first recurrence from previously resected glioblastomas. The associations of re-resection and other clinical factors with outcome were analyzed. Propensity score-matched analyses were constructed to minimize confounding effects when comparing the different RANO classes. RESULTS We studied 681 patients with first recurrence of Isocitrate Dehydrogenase (IDH) wild-type glioblastomas, including 310 patients who underwent re-resection. Re-resection was associated with prolonged survival even when stratifying for molecular and clinical confounders on multivariate analysis; ≤1 cm3 residual CE tumor was associated with longer survival than non-surgical management. Accordingly, "maximal resection" (class 2) had superior survival compared to "submaximal resection" (class 3). Administration of (radio-)chemotherapy in the absence of postoperative deficits augmented the survival associations of smaller residual CE tumors. Conversely, "supramaximal resection" of non-CE tumor (class 1) was not associated with prolonged survival but was frequently accompanied by postoperative deficits. The prognostic role of residual CE tumor was confirmed in propensity score analyses. CONCLUSIONS The RANO resect classification serves to stratify patients with re-resection of glioblastoma. Complete resection according to RANO resect classes 1 and 2 is prognostic.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Jacob S Young
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | | | - Nico Teske
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
| | - Levin Häni
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Tommaso Sciortino
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Christine Y Mau
- Department of Neuro-Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | - Luis Nunez
- Department of Diagnostic and Interventional Imaging, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Ramin A Morshed
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Alexander F Haddad
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Juergen Beck
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Shawn Hervey-Jumper
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Annette M Molinaro
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | | | - Lorenzo Bello
- Division of Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany
- Klinikum Fulda, Academic Hospital of Marburg University, Klinikum, Fulda, Germany
| | - Susan M Chang
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Mitchel S Berger
- Department of Neurosurgery and Division of Neuro-Oncology, University of San Francisco, San Francisco, California, USA
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Germany
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Roux A, Aboubakr O, Elia A, Moiraghi A, Benevello C, Fathallah H, Parraga E, Oppenheim C, Chretien F, Dezamis E, Zanello M, Pallud J. Carmustine wafer implantation for supratentorial glioblastomas, IDH-wildtype in "extreme" neurosurgical conditions. Neurosurg Rev 2023; 46:140. [PMID: 37329341 DOI: 10.1007/s10143-023-02052-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 05/15/2023] [Accepted: 06/10/2023] [Indexed: 06/19/2023]
Abstract
We assessed the feasibility of Carmustine wafer implantation in "extreme" conditions (i.e. patients > 80 years and Karnofsky Performance Status score < 50) and of implantation ≥ 12 Carmustine wafers in adult patients harbouring a newly diagnosed supratentorial glioblastoma, IDH-wildtype. We performed an observational, retrospective single-centre cohort study at a tertiary surgical neuro-oncological centre between January 2006 and December 2021. Four hundred eighty patients who benefited from a surgical resection at first-line treatment were included. We showed that Carmustine wafer implantation in patients > 80 years, in patients with a Karnofsky performance status score < 50, and that implantation ≥ 12 Carmustine wafers (1) did not increase overall postoperative complication rates, (2) did not affect the completion of standard radiochemotherapy protocol, (3) did not worsen the postoperative Karnofsky Performance Status scores, and (4) did not significantly affect the time to oncological treatment. We showed that the implantation of ≥ 12 Carmustine wafers improved progression-free survival (31.0 versus 10.0 months, p = 0.025) and overall survival (39.0 versus 16.5 months, p = 0.041) without increasing postoperative complication rates. Carmustine wafer implantation during the surgical resection of a newly diagnosed supratentorial glioblastoma, IDH-wildtype is safe and efficient in patients > 80 years and in patients with preoperative Karnofsky Performance Status score < 50. The number of Carmustine wafers should be adapted (up to 16 in our experience) to the resection cavity to improve survival without increasing postoperative overall complication rates.
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Affiliation(s)
- Alexandre Roux
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France.
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France.
| | - Oumaima Aboubakr
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France
| | - Angela Elia
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France
| | - Alessandro Moiraghi
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France
| | - Chiara Benevello
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
| | - Houssem Fathallah
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
| | - Eduardo Parraga
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
| | - Catherine Oppenheim
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France
- Service de Neuroradiologie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
| | - Fabrice Chretien
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France
- Service de Neuropathologie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
| | - Edouard Dezamis
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
| | - Marc Zanello
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France
| | - Johan Pallud
- Service de Neurochirurgie, GHU Paris Psychiatrie Et Neurosciences, Site Sainte Anne, 75014, Paris, France
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, 75014, Paris, France
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9
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Teske N, Teske NC, Niyazi M, Belka C, Thon N, Tonn JC, Forbrig R, Karschnia P. Frequency and Prognostic Relevance of Volumetric MRI Changes in Contrast- and Non-Contrast-Enhancing Tumor Compartments between Surgery and Radiotherapy of IDHwt Glioblastoma. Cancers (Basel) 2023; 15:cancers15061745. [PMID: 36980633 PMCID: PMC10046652 DOI: 10.3390/cancers15061745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/23/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023] Open
Abstract
In newly diagnosed IDH-wildtype glioblastoma, the frequency and prognostic relevance of tumor regrowth between resection and the initiation of adjuvant radiochemotherapy are unclear. In this retrospective single-center study we included 64 consecutive cases, for whom magnetic resonance imaging (MRI) was available for both the volumetric assessment of the extent of resection immediately after surgery as well as the volumetric target delineation before the initiation of adjuvant radiochemotherapy (time interval: 15.5 ± 1.9 days). Overall, a median new contrast-enhancement volume was seen in 21/64 individuals (33%, 1.5 ± 1.5 cm3), and new non-contrast lesion volume in 18/64 patients (28%, 5.0 ± 2.3 cm3). A multidisciplinary in-depth review revealed that new contrast-enhancement was either due to (I) the progression of contrast-enhancing tumor remnants in 6/21 patients or (II) distant contrast-enhancing foci or breakdown of the blood–brain barrier in previously non-contrast-enhancing tumor remnants in 5/21 patients, whereas it was unspecific or due to ischemia in 10/21 patients. For non-contrast-enhancing lesions, three of eighteen had progression of non-contrast-enhancing tumor remnants and fifteen of eighteen had unspecific changes or changes due to ischemia. There was no significant association between findings consistent with tumor regrowth and a less favorable outcome (overall survival: 14 vs. 19 months; p = 0.423). These findings support the rationale that analysis of the postsurgical remaining tumor-volume for prognostic stratification should be carried out on immediate postoperative MRI (<72 h), as unspecific changes are common. However, tumor regrowth including distant foci may occur in a subset of IDH-wildtype glioblastoma patients diagnosed per WHO 2021 classification. Thus, MRI imaging prior to radiotherapy should be obtained to adjust radiotherapy planning accordingly.
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Affiliation(s)
- Nico Teske
- Department of Neurosurgery, Munich University Hospital, LMU Munich, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
- Correspondence: (N.T.); (P.K.); Tel.: +49-(0)89-4400-711361 (N.T.); +49-(0)89-4400-711365 (P.K.); Fax: +49-(0)89-4400-72592 (N.T. & P.K.)
| | - Nina C. Teske
- Department of Neurosurgery, Munich University Hospital, LMU Munich, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Maximilian Niyazi
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
- Department of Radiation Oncology, Munich University Hospital, LMU Munich, 81377 Munich, Germany
- Bavarian Center for Cancer Research (BZKF), 91054 Erlangen, Germany
| | - Claus Belka
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
- Department of Radiation Oncology, Munich University Hospital, LMU Munich, 81377 Munich, Germany
- Bavarian Center for Cancer Research (BZKF), 91054 Erlangen, Germany
| | - Niklas Thon
- Department of Neurosurgery, Munich University Hospital, LMU Munich, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Munich University Hospital, LMU Munich, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
| | - Robert Forbrig
- Institute of Neuroradiology, Munich University Hospital, LMU Munich, 81377 Munich, Germany
| | - Philipp Karschnia
- Department of Neurosurgery, Munich University Hospital, LMU Munich, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 80336 Munich, Germany
- Correspondence: (N.T.); (P.K.); Tel.: +49-(0)89-4400-711361 (N.T.); +49-(0)89-4400-711365 (P.K.); Fax: +49-(0)89-4400-72592 (N.T. & P.K.)
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10
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Timing of Early Postoperative MRI following Primary Glioblastoma Surgery-A Retrospective Study of Contrast Enhancements in 311 Patients. Diagnostics (Basel) 2023; 13:diagnostics13040795. [PMID: 36832282 PMCID: PMC9955136 DOI: 10.3390/diagnostics13040795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 02/03/2023] [Accepted: 02/18/2023] [Indexed: 02/22/2023] Open
Abstract
An early postoperative MRI is recommended following Glioblastoma surgery. This retrospective, observational study aimed to investigate the timing of an early postoperative MRI among 311 patients. The patterns of the contrast enhancement (thin linear, thick linear, nodular, and diffuse) and time from surgery to the early postoperative MRI were recorded. The primary endpoint was the frequencies of the different contrast enhancements within and beyond the 48-h from surgery. The time dependence of the resection status and the clinical parameters were analysed as well. The frequency of the thin linear contrast enhancements significantly increased from 99/183 (50.8%) within 48-h post-surgery to 56/81 (69.1%) beyond 48-h post-surgery. Similarly, MRI scans with no contrast enhancements significantly declined from 41/183 (22.4%) within 48-h post-surgery to 7/81 (8.6%) beyond 48-h post-surgery. No significant differences were found for the other types of contrast enhancements and the results were robust in relation to the choice of categorisation of the postoperative periods. Both the resection status and the clinical parameters were not statistically different in patients with an MRI performed before and after 48 h. The findings suggest that surgically induced contrast enhancements are less frequent when an early postoperative MRI is performed earlier than 48-h, supporting the recommendation of a 48-h window for an early postoperative MRI.
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11
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Mizuhata M, Takamatsu S, Shibata S, Sakurai T, Minamikawa R, Yamazaki M, Kinoshita M, Miyashita K, Kumano T, Nakada M, Gabata T. Patterns of failure in glioblastoma multiforme following Standard (60 Gy) or Short course (40 Gy) radiation and concurrent temozolomide. Jpn J Radiol 2023; 41:660-668. [PMID: 36648706 DOI: 10.1007/s11604-023-01386-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 01/03/2023] [Indexed: 01/18/2023]
Abstract
PURPOSE The purpose of this study was to analyze the patterns of failure in patients with glioblastoma multiforme (GBM) treated using chemoradiotherapy in the Standard radiotherapy (60 Gy/30 fractions; Standard) or Short course (40 Gy/15 fractions: Short). MATERIALS AND METHODS Ninety-three consecutive patients with newly diagnosed glioblastoma treated at our hospital between April 2007 and December 2016, and 68 patients who could be followed up were included. All patients underwent surgical resection followed by radiotherapy with concurrent temozolomide. We retrospectively analyzed treatment outcomes and recurrence patterns. RESULTS The median follow-up period of the surviving patients was 82.8 months (range: 46.0-158.9 months). Of the 68 patients, 58 patients (85%) had recurrences, 34 underwent the Standard and 24 Short course. The Standard course was seen in younger age groups and had a better Karnofsky performance status (KPS) than the Short course. The median survival time (MST) was 25.8 months for the Standard and 15.4 months with the Short in all cases. Standard course had significantly longer MST than the Short (p = 0.001) course. For recurrent cases only, there was no significant difference between Standard and Short courses in OS (p = 0.06). The recurrences occurred at the radiation fields alone (Standard/Short: 85%/83%), only at distant sites (Standard/Short: 12%/13%), and at both the radiation fields and distant sites (Standard/Short: 3%/4%). There was no significant difference in recurrence pattern and frequency between the two protocols (p = 0.11). CONCLUSIONS Standard course tended to be significant in younger age groups and have a better KPS than the Short course; therefore, the Standard course has a longer OS, but the recurrence pattern of the Short course is similar to that of the Standard treatment.
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Affiliation(s)
- Miu Mizuhata
- Department of Radiology, Graduate School of Medicine, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa, 920-8641, Japan.
| | - Shigeyuki Takamatsu
- Department of Radiology, Graduate School of Medicine, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa, 920-8641, Japan
| | - Satoshi Shibata
- Department of Radiology, Graduate School of Medicine, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa, 920-8641, Japan
| | - Takayuki Sakurai
- Department of Radiology, Graduate School of Medicine, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa, 920-8641, Japan
| | - Risako Minamikawa
- Department of Radiology, Graduate School of Medicine, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa, 920-8641, Japan
| | - Masahiro Yamazaki
- Department of Radiology, Graduate School of Medicine, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa, 920-8641, Japan
| | - Masashi Kinoshita
- Department of Neurosurgery, Graduate School of Medicine, Kanazawa University, Kanazawa, Ishikawa, 920-8641, Japan
| | - Katsuyoshi Miyashita
- Department of Neurosurgery, Fukui Prefectural Hospital, Fukui, Fukui, 910-8526, Japan
| | - Tomoyasu Kumano
- Department of Radiology, Graduate School of Medicine, Gifu University, Gifu, Gifu, 501-1194, Japan
| | - Mitsutoshi Nakada
- Department of Neurosurgery, Graduate School of Medicine, Kanazawa University, Kanazawa, Ishikawa, 920-8641, Japan
| | - Toshifumi Gabata
- Department of Radiology, Graduate School of Medicine, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa, 920-8641, Japan
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12
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Chen L, Ma J, Zou Z, Liu H, Liu C, Gong S, Gao X, Liang G. Clinical characteristics and prognosis of patients with glioblastoma: A review of survival analysis of 1674 patients based on SEER database. Medicine (Baltimore) 2022; 101:e32042. [PMID: 36451503 PMCID: PMC9704894 DOI: 10.1097/md.0000000000032042] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND To fully understand the clinical features and prognosis of Glioblastoma (GBM), we extracted the data from the Surveillance, Epidemiology, and End Results (SEER) database and performed a series of analyses. METHODS We retrospectively analyzed the data of 1674 patients with GBM obtained from the SEER database from 1983 to 2015. Kaplan-Meier analysis was performed to calculate the survival rate, and the log-rank test was used to analyze the survival outcomes. RESULTS Older patients with GBM had a worse survival period (P < .05). Laterality had no effect on the prognosis (P > .05). Patients with high-grade gliomas may have a shorter lifespan (P < .05). In terms of overall survival (OS) and disease specificity, all 3 classical treatments failed to improve the life expectancy (P > .05). In adult patients with GBM, we found that age, tumor grade, surgery, radiotherapy, and chemotherapy were independent risk factors for all-cause mortality. In the univariate disease-specific analysis, age, tumor grade, surgery, radiotherapy, and chemotherapy were independent risk factors. However, in multivariate disease-specific analysis, the results showed that only tumor grade and surgery were independent risk factors for GBM. CONCLUSIONS Older patients diagnosed with GBM have worse survival, and patients with glioma of higher grades have a shorter lifespan. Age, grade, surgery, radiation therapy, and chemotherapy were independent prognostic factors for patients with GBM.
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Affiliation(s)
- Ligang Chen
- Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Jing Ma
- Department of Pathology, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, China
| | - Zheng Zou
- Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Hongzhe Liu
- Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Chenxin Liu
- Department of Pediatric Orthopedics, Honghui Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Shun Gong
- Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China
- *Correspondence: Shun Gong, Department of Neurosurgery, General Hospital of Northern Theater Command, 83 Wenhua Road, Shenyang 110016, China (e-mail: )
| | - Xu Gao
- Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Guobiao Liang
- Department of Neurosurgery, General Hospital of Northern Theater Command, Shenyang, China
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13
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Pálsson S, Cerri S, Poulsen HS, Urup T, Law I, Van Leemput K. Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images. Sci Rep 2022; 12:19744. [PMID: 36396681 PMCID: PMC9671967 DOI: 10.1038/s41598-022-19223-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 08/25/2022] [Indexed: 11/18/2022] Open
Abstract
Survival prediction models can potentially be used to guide treatment of glioblastoma patients. However, currently available MR imaging biomarkers holding prognostic information are often challenging to interpret, have difficulties generalizing across data acquisitions, or are only applicable to pre-operative MR data. In this paper we aim to address these issues by introducing novel imaging features that can be automatically computed from MR images and fed into machine learning models to predict patient survival. The features we propose have a direct anatomical-functional interpretation: They measure the deformation caused by the tumor on the surrounding brain structures, comparing the shape of various structures in the patient's brain to their expected shape in healthy individuals. To obtain the required segmentations, we use an automatic method that is contrast-adaptive and robust to missing modalities, making the features generalizable across scanners and imaging protocols. Since the features we propose do not depend on characteristics of the tumor region itself, they are also applicable to post-operative images, which have been much less studied in the context of survival prediction. Using experiments involving both pre- and post-operative data, we show that the proposed features carry prognostic value in terms of overall- and progression-free survival, over and above that of conventional non-imaging features.
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Affiliation(s)
- Sveinn Pálsson
- grid.5170.30000 0001 2181 8870Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Stefano Cerri
- grid.5170.30000 0001 2181 8870Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Hans Skovgaard Poulsen
- grid.475435.4Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Thomas Urup
- grid.475435.4Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Ian Law
- grid.475435.4Department of Clinical Physiology, Nuclear Medicine and PET, Center of Diagnostic Investigation, Rigshospitalet, Copenhagen, Denmark
| | - Koen Van Leemput
- grid.5170.30000 0001 2181 8870Department of Health Technology, Technical University of Denmark, Lyngby, Denmark ,grid.32224.350000 0004 0386 9924Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA
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14
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Dajani S, Hill VB, Kalapurakal JA, Horbinski CM, Nesbit EG, Sachdev S, Yalamanchili A, Thomas TO. Imaging of GBM in the Age of Molecular Markers and MRI Guided Adaptive Radiation Therapy. J Clin Med 2022; 11:jcm11195961. [PMID: 36233828 PMCID: PMC9572863 DOI: 10.3390/jcm11195961] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/26/2022] [Accepted: 09/29/2022] [Indexed: 12/03/2022] Open
Abstract
Glioblastoma (GBM) continues to be one of the most lethal malignancies and is almost always fatal. In this review article, the role of radiation therapy, systemic therapy, as well as the molecular basis of classifying GBM is described. Technological advances in the treatment of GBM are outlined as well as the diagnostic imaging characteristics of this tumor. In addition, factors that affect prognosis such as differentiating progression from treatment effect is discussed. The role of MRI guided radiation therapy and how this technology may provide a mechanism to improve the care of patients with this disease are described.
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15
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Dong J, Wang D, Sun H, Zeng M, Liu X, Yan X, Li R, Li S, Peng Y. Effect of anesthesia on the outcome of high-grade glioma patients undergoing supratentorial resection: study protocol for a pragmatic randomized controlled trial. Trials 2022; 23:816. [PMID: 36167574 PMCID: PMC9513932 DOI: 10.1186/s13063-022-06716-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 09/03/2022] [Indexed: 11/19/2022] Open
Abstract
Background High-grade glioma (HGG) is the most malignant brain tumor with poor outcomes. Whether anesthetic methods have an impact on the outcome of these patients is still unknown. Retrospective study has found no difference between intravenous and inhalation anesthesia on the overall survival (OS) of the HGG patients, however, intravenous anesthesia with propofol might be beneficial in a subgroup of patients with a Karnofsky Performance Status (KPS) Scale less than 80. Further prospective studies are needed to evaluate the results. Methods This is a single-centered, randomized controlled, parallel-group trial. Three hundred forty-four patients with primary HGG for tumor resection will be randomly assigned to receive either intravenous anesthesia with propofol or inhalation anesthesia with sevoflurane. The primary outcome is the OS of the patients within 18 months. Secondary outcomes include progression-free survival (PFS), the numerical rating scale (NRS) of pain intensity and sleep quality, the postoperative encephaloedema volume, complications, and the length of hospital stay of the patients. Discussion This is a randomized controlled trial to compare the effect of intravenous and inhalation anesthesia maintenance on the outcome of supratentorial HGG patients. The results will contribute to optimizing the anesthesia methods in these patients. Trial registration ClinicalTrials.gov NCT02756312. Registered on 29 April 2016 and last updated on 9 Sep 2020 Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06716-9.
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Affiliation(s)
- Jia Dong
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Dexiang Wang
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Huizhong Sun
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Min Zeng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Xiaoyuan Liu
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Xiang Yan
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Ruowen Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Shu Li
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yuming Peng
- Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
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16
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Numan T, Breedt LC, Maciel BDAPC, Kulik SD, Derks J, Schoonheim MM, Klein M, de Witt Hamer PC, Miller JJ, Gerstner ER, Stufflebeam SM, Hillebrand A, Stam CJ, Geurts JJG, Reijneveld JC, Douw L. Regional healthy brain activity, glioma occurrence and symptomatology. Brain 2022; 145:3654-3665. [PMID: 36130310 PMCID: PMC9586543 DOI: 10.1093/brain/awac180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/22/2022] [Accepted: 05/04/2022] [Indexed: 11/24/2022] Open
Abstract
It is unclear why exactly gliomas show preferential occurrence in certain brain areas. Increased spiking activity around gliomas leads to faster tumour growth in animal models, while higher non-invasively measured brain activity is related to shorter survival in patients. However, it is unknown how regional intrinsic brain activity, as measured in healthy controls, relates to glioma occurrence. We first investigated whether gliomas occur more frequently in regions with intrinsically higher brain activity. Second, we explored whether intrinsic cortical activity at individual patients’ tumour locations relates to tumour and patient characteristics. Across three cross-sectional cohorts, 413 patients were included. Individual tumour masks were created. Intrinsic regional brain activity was assessed through resting-state magnetoencephalography acquired in healthy controls and source-localized to 210 cortical brain regions. Brain activity was operationalized as: (i) broadband power; and (ii) offset of the aperiodic component of the power spectrum, which both reflect neuronal spiking of the underlying neuronal population. We additionally assessed (iii) the slope of the aperiodic component of the power spectrum, which is thought to reflect the neuronal excitation/inhibition ratio. First, correlation coefficients were calculated between group-level regional glioma occurrence, as obtained by concatenating tumour masks across patients, and group-averaged regional intrinsic brain activity. Second, intrinsic brain activity at specific tumour locations was calculated by overlaying patients’ individual tumour masks with regional intrinsic brain activity of the controls and was associated with tumour and patient characteristics. As proposed, glioma preferentially occurred in brain regions characterized by higher intrinsic brain activity in controls as reflected by higher offset. Second, intrinsic brain activity at patients’ individual tumour locations differed according to glioma subtype and performance status: the most malignant isocitrate dehydrogenase-wild-type glioblastoma patients had the lowest excitation/inhibition ratio at their individual tumour locations as compared to isocitrate dehydrogenase-mutant, 1p/19q-codeleted glioma patients, while a lower excitation/inhibition ratio related to poorer Karnofsky Performance Status, particularly in codeleted glioma patients. In conclusion, gliomas more frequently occur in cortical brain regions with intrinsically higher activity levels, suggesting that more active regions are more vulnerable to glioma development. Moreover, indices of healthy, intrinsic excitation/inhibition ratio at patients’ individual tumour locations may capture both tumour biology and patients’ performance status. These findings contribute to our understanding of the complex and bidirectional relationship between normal brain functioning and glioma growth, which is at the core of the relatively new field of ‘cancer neuroscience’.
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Affiliation(s)
- Tianne Numan
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Lucas C Breedt
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Bernardo de A P C Maciel
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Shanna D Kulik
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Jolanda Derks
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Martin Klein
- Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Medical Psychology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Philip C de Witt Hamer
- Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Neurosurgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Julie J Miller
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Elizabeth R Gerstner
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Steven M Stufflebeam
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Cornelis J Stam
- Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Jaap C Reijneveld
- Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Neurology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Neurology, Stichting Epilepsie Instellingen Nederland, Heemstede 2103 SW, The Netherlands
| | - Linda Douw
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
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17
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Li G, Rodrigues A, Kim L, Garcia C, Jain S, Zhang M, Hayden-Gephart M. 5-Aminolevulinic Acid Imaging of Malignant Glioma. Surg Oncol Clin N Am 2022; 31:581-593. [DOI: 10.1016/j.soc.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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18
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Karschnia P, Young JS, Dono A, Häni L, Sciortino T, Bruno F, Juenger ST, Teske N, Morshed RA, Haddad AF, Zhang Y, Stoecklein S, Weller M, Vogelbaum MA, Beck J, Tandon N, Hervey-Jumper S, Molinaro AM, Rudà R, Bello L, Schnell O, Esquenazi Y, Ruge MI, Grau SJ, Berger MS, Chang SM, van den Bent M, Tonn JC. Prognostic validation of a new classification system for extent of resection in glioblastoma: a report of the RANO resect group. Neuro Oncol 2022; 25:940-954. [PMID: 35961053 PMCID: PMC10158281 DOI: 10.1093/neuonc/noac193] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Terminology to describe extent of resection in glioblastoma is inconsistent across clinical trials. A surgical classification system was previously proposed based upon residual contrast-enhancing (CE) tumor. We aimed to (I) explore the prognostic utility of the classification system and (II) define how much removed non-CE tumor translates into a survival benefit. METHODS The international RANO resect group retrospectively searched previously compiled databases from seven neuro-oncological centers in the USA and Europe for patients with newly diagnosed glioblastoma per WHO 2021 classification. Clinical and volumetric information from pre- and post-operative MRI were collected. RESULTS We collected 1008 patients with newly diagnosed IDHwt glioblastoma. 744 IDHwt glioblastomas were treated with radiochemotherapy per EORTC 26981/22981 (TMZ/RT→TMZ) following surgery. Among these homogenously treated patients, lower absolute residual tumor volumes (in cm 3) were favorably associated with outcome: patients with 'maximal CE resection' (class 2) had superior outcome compared to patients with 'submaximal CE resection' (class 3) or 'biopsy' (class 4). Extensive resection of non-CE tumor (≤5 cm 3 residual non-CE tumor) was associated with better survival among patients with complete CE resection, thus defining class 1 ('supramaximal CE resection'). The prognostic value of the resection classes was retained on multivariate analysis when adjusting for molecular and clinical markers. CONCLUSIONS The proposed "RANO categories for extent of resection in glioblastoma" are highly prognostic and may serve for stratification within clinical trials. Removal of non-CE tumor beyond the CE tumor borders may translate into additional survival benefit, providing a rationale to explicitly denominate such 'supramaximal CE resection'.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Jacob S Young
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, United States of America
| | - Levin Häni
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Tommaso Sciortino
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy
| | | | - Nico Teske
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany
| | - Ramin A Morshed
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Alexander F Haddad
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Yalan Zhang
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Sophia Stoecklein
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael A Vogelbaum
- Department of NeuroOncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Juergen Beck
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, United States of America
| | - Shawn Hervey-Jumper
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Annette M Molinaro
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience, University of Turin, Italy.,Division of Neurology, Castelfranco Veneto and Treviso Hospital, Italy
| | - Lorenzo Bello
- Division for Neuro-Oncology, Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at UT Health Houston, Houston, Texas, United States of America
| | - Maximilian I Ruge
- Department Stereotactic and Functional Neurosurgery, Centre for Neurosurgery, University Hospital Cologne, Cologne, Germany
| | - Stefan J Grau
- Department of Neurosurgery, University of Cologne, Cologne, Germany.,Klinikum Fulda, Academic Hospital of Marburg University, Fulda, Germany
| | - Mitchel S Berger
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurosurgery & Division of Neuro-Oncology, University of San Francisco, San Francisco, CA, USA
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Germany
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19
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A phase II open label, single arm study of hypofractionated stereotactic radiotherapy with chemoradiotherapy using intensity-modulated radiotherapy for newly diagnosed glioblastoma after surgery: the HSCK-010 trial protocol. BMC Cancer 2022; 22:827. [PMID: 35906549 PMCID: PMC9335974 DOI: 10.1186/s12885-022-09914-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 07/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background The most frequently diagnosed primary brain tumor is glioblastoma (GBM). Nearly all patients experience tumor recurrence and up to 90% of which is local recurrence. Thus, increasing the therapeutic ratio of radiotherapy using hypofractionated stereotactic radiotherapy (HSRT) can reduce treatment time and may increase tumor control and improve survival. To evaluate the efficacy and toxicity of the combination of HSRT and intensity-modulated radiotherapy (IMRT) with temozolomide after surgery in GBM patients and provide evidence for further randomized controlled trials. Methods/design HSCK-010 is an open-label, single-arm phase II trial (NCT04547621) which includes newly diagnosed GBM patients who underwent gross total resection. Patients will receive the combination of 30 Gy/5fx HSRT, and 20 Gy/10fx IMRT adjuvant therapy with concurrent temozolomide and adjuvant chemotherapy. The primary endpoint is overall survival (OS). Secondary outcomes include progression-free survival (PFS) rate, objective-response rate (ORR), quality of life (Qol) before and after the treatment, cognitive function before and after the treatment, and rate of treatment-related adverse events (AE). The combination of HSRT and IMRT with temozolomide can benefit the patients after surgery with good survival, acceptable toxicity, and reduced treatment time. Trial registration NCT04547621. Registered on 14 September 2020.
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20
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Ruiz-Garcia H, Middlebrooks EH, Trifiletti DM, Chaichana KL, Quinones-Hinojosa A, Sheehan JP. The Extent of Resection in Gliomas-Evidence-Based Recommendations on Methodological Aspects of Research Design. World Neurosurg 2022; 161:382-395.e3. [PMID: 35505558 DOI: 10.1016/j.wneu.2021.08.140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 08/30/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Modern neurosurgery has established maximal safe resection as a cornerstone in the management of diffuse gliomas. Evaluation of the extent of resection (EOR), and its association with certain outcomes or interventions, heavily depends on an adequate methodology to draw strong conclusions. We aim to identify weaknesses and limitations that may threaten the internal validity and generalizability of studies involving the EOR in patients with glioma and to suggest methodological recommendations that may help mitigate these threats. METHODS A systematic search was performed by querying PubMed, Web of Science, and Scopus since inception to April 30, 2021 using PICOS/PRISMA guidelines. Articles were then screened to identify high-impact studies evaluating the EOR in patients diagnosed with diffuse gliomas in accordance with predefined criteria. We identify common weakness and limitations during the evaluation of the EOR in the selected studies and then delineate potential methodological recommendations for future endeavors dealing with the EOR. RESULTS We identified 31 high-impact studies and found several research design issues including inconsistencies regarding EOR terminology, measurement, data collection, analysis, and reporting. Although some of these issues were related to now outdated reporting standards, many were still present in recent publications and deserve attention in contemporary and future research. CONCLUSIONS There is a current need to focus more attention to the methodological aspects of glioma research. Methodological inconsistencies may introduce weaknesses into the internal validity of the studies and hamper comparative analysis of cohorts from different institutions. We hope our recommendations will eventually help develop stronger methodological designs in future research endeavors.
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Affiliation(s)
- Henry Ruiz-Garcia
- Department of Neurological Surgery, Mayo Clinic, Jacksonville, Florida, USA; Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, Florida, USA
| | - Erik H Middlebrooks
- Department of Neurological Surgery, Mayo Clinic, Jacksonville, Florida, USA; Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
| | - Daniel M Trifiletti
- Department of Neurological Surgery, Mayo Clinic, Jacksonville, Florida, USA; Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA
| | | | | | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.
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21
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Safety and Efficacy of Hypofractionated Stereotactic Radiotherapy with Anlotinib Targeted Therapy for Glioblastoma at the First Recurrence: A Preliminary Report. Brain Sci 2022; 12:brainsci12040471. [PMID: 35448002 PMCID: PMC9032064 DOI: 10.3390/brainsci12040471] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/21/2022] [Accepted: 03/24/2022] [Indexed: 02/05/2023] Open
Abstract
(1) Background: Hypofractionated stereotactic radiotherapy (HSRT) and anti-vascular endothelial growth factor (VEGF) antibodies have been reported to have a promising survival benefit in recent studies. Anlotinib is a new oral VEGF receptor inhibitor. This report describes our experience using HSRT and anlotinib for recurrent glioblastoma (rGBM). (2) Methods: Between December 2019 and June 2020, rGBM patients were retrospectively analysed. Anlotinib was prescribed at 12 mg daily during HSRT. Adjuvant anlotinib was administered d1-14 every 3 weeks. The primary endpoint was the objective response rate (ORR). Secondary endpoints included overall survival (OS), progression-free survival (PFS) after salvage treatment, and toxicity. (3) Results: Five patients were enrolled. The prescribed dose was 25.0 Gy in 5 fractions. The median number of cycles of anlotinib was 21 (14–33). The ORR was 100%. Three (60%) patients had the best outcome of a partial response (PR), and 2 (40%) achieved a complete response (CR). One patient died of tumour progression at the last follow-up. Two patients had grade 2 hand-foot syndrome. (4) Conclusions: Salvage HSRT combined with anlotinib showed a favourable outcome and acceptable toxicity for rGBM. A prospective phase II study (NCT04197492) is ongoing to further investigate the regimen.
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22
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Survival after reoperation for recurrent glioblastoma multiforme: A prospective study. Surg Oncol 2022; 42:101771. [DOI: 10.1016/j.suronc.2022.101771] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 03/28/2022] [Accepted: 04/10/2022] [Indexed: 11/22/2022]
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23
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Mora JKG, Robertson J, Hsu FC, Shinn RL, Larson MM, Rylander CG, Whitlow CT, Debinski W, Davalos RV, B Daniel G, Rossmeisl JH. Comparison of linear and volumetric criteria for the determination of therapeutic response in dogs with intracranial gliomas. J Vet Intern Med 2022; 36:1066-1074. [PMID: 35274379 PMCID: PMC9151452 DOI: 10.1111/jvim.16406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/02/2022] [Accepted: 03/02/2022] [Indexed: 11/29/2022] Open
Abstract
Background Brain tumor therapeutic responses can be quantified from magnetic resonance images (MRI) using 1‐ (1D) and 2‐dimensional (2D) linear and volumetric methods, but few studies in dogs compare these techniques. Hypotheses Linear methods will be obtained faster, but have less agreement than volumetric measurements. Therapeutic response agreement will be highest with the total T2W tumor volumetric (TTV) method. Therapeutic response at 6‐weeks will correlate with overall survival (OS). Animals Forty‐six dogs with intracranial gliomas. Methods Prospective study. Three raters measured tumors using 1D and 2D linear, TTV, and contrast‐enhancing volumetric (CEV) techniques on 143 brain MRI to determine agreement between methods, define therapeutic responses, and assess relations with OS. Results Raters performed 1D the fastest (2.9 ± 0.57 minutes) and CEV slowest (17.8 ± 6.2 minutes). Inter‐ and intraobserver agreements were excellent (intraclass correlations ≥.91) across methods. Correlations between linear (1D vs 2D; ρ > .91) and volumetric (TTV vs CEV; ρ > .73) methods were stronger than linear to volumetric comparisons (ρ range, .26‐.59). Incorporating clinical and imaging data resulted in fewer discordant therapeutic responses across methods. Dogs having partial tumor responses at 6 weeks had a lower death hazard than dogs with stable or progressive disease when assessed using 2D, CEV, and TTV (hazard ration 2.1; 95% confidence interval, 1.22‐3.63; P = .008). Conclusions and Clinical Importance One‐dimensional, 2D, CEV, and TTV are comparable for determining therapeutic response. Given the simplicity, universal applicability, and superior performance of the TTV, we recommend its use to standardize glioma therapeutic response criteria.
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Affiliation(s)
- Josefa Karina Garcia Mora
- Small Animal Clinical Sciences, VA-MD Regional College of Veterinary Medicine, Blacksburg, Virginia, USA
| | - John Robertson
- Small Animal Clinical Sciences, VA-MD Regional College of Veterinary Medicine, Blacksburg, Virginia, USA
| | - Fang-Chi Hsu
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Richard Levon Shinn
- Small Animal Clinical Sciences, VA-MD Regional College of Veterinary Medicine, Blacksburg, Virginia, USA
| | - Martha M Larson
- Small Animal Clinical Sciences, VA-MD Regional College of Veterinary Medicine, Blacksburg, Virginia, USA
| | - Christopher G Rylander
- Walker Department of Mechanical Engineering, University of Texas at Austin, Austin, Texas, USA
| | - Christopher T Whitlow
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Waldemar Debinski
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Rafael V Davalos
- Small Animal Clinical Sciences, VA-MD Regional College of Veterinary Medicine, Blacksburg, Virginia, USA
| | - Gregory B Daniel
- Small Animal Clinical Sciences, VA-MD Regional College of Veterinary Medicine, Blacksburg, Virginia, USA
| | - John H Rossmeisl
- Small Animal Clinical Sciences, VA-MD Regional College of Veterinary Medicine, Blacksburg, Virginia, USA
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24
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Yang PH, Tao Y, Luo J, Paturu M, Lu HC, Ramkissoon S, Heusel JW, Leuthardt EC, Chicoine MR, Dowling JL, Dunn GP, Duncavage E, Dahiya S, Chattherjee AR, Kim AH. Multivariate analysis of associations between clinical sequencing and outcome in glioblastoma. Neurooncol Adv 2022; 4:vdac002. [PMID: 35156038 PMCID: PMC8826782 DOI: 10.1093/noajnl/vdac002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Many factors impact survival in patients with glioblastoma, including age, Karnofsky Performance Status, postoperative chemoradiation, IDH1/2 mutation status, MGMT promoter methylation status, and extent of resection. High-throughput next-generation sequencing is a widely available diagnostic tool, but the independent impact of tumors harboring specific mutant genes on survival and the efficacy of extent of resection are not clear. METHODS We utilized a widely available diagnostic platform (FoundationOne CDx) to perform high-throughput next-generation sequencing on 185 patients with newly diagnosed glioblastoma in our tertiary care center. We performed multivariate analysis to control for clinical parameters with known impact on survival to elucidate the independent prognostic value of prevalent mutant genes and the independent impact of gross total resection. RESULTS When controlling for factors with known prognostic significance including IDH1/2 mutation and after multiple comparisons analysis, CDKN2B and EGFR mutations were associated with reduced overall survival while PTEN mutation was associated with improved overall survival. Gross total resection, compared to other extent of resection, was associated with improved overall survival in patients with tumors harboring mutations in CDKN2A, CDKN2B, EGFR, PTEN, TERT promoter, and TP53. All patients possessed at least one of these 6 mutant genes. CONCLUSIONS This study verifies the independent prognostic value of several mutant genes in glioblastoma. Six commonly found mutant genes were associated with improved survival when gross total resection was achieved. Thus, even when accounting for known predictors of survival and multiple mutant gene comparisons, extent of resection continues to be strongly associated with survival.
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Affiliation(s)
- Peter H Yang
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Yu Tao
- Department of Surgery, Public Health Sciences Division, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Jingqin Luo
- Department of Surgery, Public Health Sciences Division, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Mounica Paturu
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Hsiang-Chih Lu
- Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | | | - Jonathan W Heusel
- Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Eric C Leuthardt
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Michael R Chicoine
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Joshua L Dowling
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Gavin P Dunn
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Eric Duncavage
- Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Sonika Dahiya
- Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Arindam R Chattherjee
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.,Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
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25
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Krolicki L, Kunikowska J, Bruchertseifer F, Koziara H, Morgenstern A, Krolicki B, Rosiak E, Pawlak D, Merlo A. Nuclear medicine therapy of CNS tumors. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00177-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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26
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Guo P, Unberath M, Heo HY, Eberhart CG, Lim M, Blakeley JO, Jiang S. Learning-based analysis of amide proton transfer-weighted MRI to identify true progression in glioma patients. NEUROIMAGE: CLINICAL 2022; 35:103121. [PMID: 35905666 PMCID: PMC9421489 DOI: 10.1016/j.nicl.2022.103121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 07/13/2022] [Accepted: 07/14/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Pengfei Guo
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Mathias Unberath
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Hye-Young Heo
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Michael Lim
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
| | | | - Shanshan Jiang
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA.
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27
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Discriminating surgical bed cysts from bacterial brain abscesses after Carmustine wafer implantation in newly diagnosed IDH-wildtype glioblastomas. Neurosurg Rev 2021; 45:1501-1511. [PMID: 34651215 DOI: 10.1007/s10143-021-01670-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/16/2021] [Accepted: 10/04/2021] [Indexed: 10/20/2022]
Abstract
Carmustine wafers can be implanted in the surgical bed of high-grade gliomas, which can induce surgical bed cyst formation, leading to clinically relevant mass effect. An observational retrospective monocentric study was conducted including 122 consecutive adult patients with a newly diagnosed supratentorial glioblastoma who underwent a surgical resection with Carmustine wafer implantation as first line treatment (2005-2018). Twenty-two patients (18.0%) developed a postoperative contrast-enhancing cyst within the surgical bed: 16 surgical bed cysts and six bacterial abscesses. All patients with a surgical bed cyst were managed conservatively, all resolved on imaging follow-up, and no patient stopped the radiochemotherapy. Independent risk factors of formation of a postoperative surgical bed cyst were age ≥ 60 years (p = 0.019), number of Carmustine wafers implanted ≥ 8 (p = 0.040), and partial resection (p = 0.025). Compared to surgical bed cysts, the occurrence of a postoperative bacterial abscess requiring surgical management was associated more frequently with a shorter time to diagnosis from surgery (p = 0.009), new neurological deficit (p < 0.001), fever (p < 0.001), residual air in the cyst (p = 0.018), a cyst diameter greater than that of the initial tumor (p = 0.027), and increased mass effect and brain edema compared to early postoperative MRI (p = 0.024). Contrast enhancement (p = 0.473) and diffusion signal abnormalities (p = 0.471) did not differ between postoperative bacterial abscesses and surgical bed cysts. Clinical and imaging findings help discriminate between surgical bed cysts and bacterial abscesses following Carmustine wafer implantation. Surgical bed cysts can be managed conservatively. Individual risk factors will help tailor their steroid therapy and imaging follow-up.
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28
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Cho SS, Salinas R, De Ravin E, Teng CW, Li C, Abdullah KG, Buch L, Hussain J, Ahmed F, Dorsey J, Mohan S, Brem S, Singhal S, Lee JYK. Near-Infrared Imaging with Second-Window Indocyanine Green in Newly Diagnosed High-Grade Gliomas Predicts Gadolinium Enhancement on Postoperative Magnetic Resonance Imaging. Mol Imaging Biol 2021; 22:1427-1437. [PMID: 31712948 DOI: 10.1007/s11307-019-01455-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Intraoperative molecular imaging with tumor-targeting fluorophores offers real-time detection of neoplastic tissue. The second window indocyanine green (SWIG) technique relies on passive accumulation of indocyanine green (ICG), a near-infrared fluorophore, in neoplastic tissues. In this study, we explore the ability of SWIG to detect neoplastic tissue and to predict postoperative magnetic resonance imaging (MRI) findings intraoperatively. PROCEDURES Retrospective data were collected from 36 patients with primary high-grade gliomas (HGG) enrolled as part of a larger trial between October 2014 and October 2018. Patients received systemic ICG infusions at 2.5-5 mg/kg 24 h preoperatively. Near-infrared fluorescence was recorded throughout the case and from biopsy specimens. The presence/location of residual SWIG signal after resection was compared to the presence/location of residual gadolinium enhancement on postoperative MRI. The extent of resection was not changed based on near-infrared imaging. RESULTS All 36 lesions demonstrated strong near-infrared fluorescence (signal-to-background = 6.8 ± 2.2) and 100 % of tumors reaching the cortex were visualized before durotomy. In 78 biopsy specimens, near-infrared imaging demonstrated higher sensitivity and accuracy than white light for diagnosing neoplastic tissue intraoperatively. Furthermore, near-infrared imaging predicted gadolinium enhancement on postoperative MRI with 91 % accuracy, with visualization of residual enhancement as small as 0.3 cm3. Patients with no residual near-infrared signal after resection were significantly more likely to have complete resection on postoperative MRI (p value < 0.0001). CONCLUSIONS Intraoperative imaging with SWIG demonstrates highly sensitive detection of HGG tissue in real time. Furthermore, post-resection near-infrared imaging correlates with postoperative MRI. Overall, our findings suggest that SWIG can provide surgeons with MRI-like results in real time, potentially increasing resection rates.
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Affiliation(s)
- Steve S Cho
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan Salinas
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Emma De Ravin
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Clare W Teng
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Carrie Li
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Kalil G Abdullah
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Love Buch
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jasmin Hussain
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Fahad Ahmed
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Jay Dorsey
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Steven Brem
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sunil Singhal
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - John Y K Lee
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
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Wang SS, Selge F, Sebök M, Scheffler P, Yang Y, Brandi G, Winklhofer S, Bozinov O. The value of intraoperative MRI in recurrent intracranial tumor surgery. J Neurosurg 2021. [DOI: 10.3171/2020.6.jns20982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
Identifying tumor remnants in previously operated tumor lesions remains a challenge. Intraoperative MRI (ioMRI) helps the neurosurgeon to reorient and update image guidance during surgery. The purpose of this study was to analyze whether ioMRI is more efficient in detecting tumor remnants in the surgery of recurrent lesions compared with primary surgery.
METHODS
All consecutive patients undergoing elective intracranial tumor surgery between 2013 and 2018 at the authors’ institution were included in this retrospective cohort study. The cohort was divided into two groups: re-craniotomy and primary craniotomy. In contrast-enhancing tumors, tumor suspicion in ioMRI was defined as contrast enhancement in T1-weighted imaging. In non–contrast-enhancing tumors, tumor suspicion was defined as hypointensity in T1-weighted imaging and hyperintensity in T2-weighted imaging and FLAIR. In cases in which the ioMRI tumor suspicion was a false positive and not confirmed during in situ inspection by the neurosurgeon, the signal was defined as a tumor-imitating ioMRI signal (TIM). Descriptive statistics were performed.
RESULTS
A total of 214 tumor surgeries met the inclusion criteria. The re-craniotomy group included 89 surgeries, and the primary craniotomy group included 123 surgeries. Initial complete resection after ioMRI was less frequent in the re-craniotomy group than in the primary craniotomy group, but this was not a statistically significant difference. Radiological suspicion of tumor remnants in ioMRI was present in 78% of re-craniotomy surgeries and 69% of primary craniotomy surgeries. The incidence of false-positive TIMs was significantly higher in the re-craniotomy group (n = 11, 12%) compared with the primary craniotomy group (n = 5, 4%; p = 0.015), and in contrast-enhancing tumors was related to hemorrhages in situ (n = 9).
CONCLUSIONS
A history of previous surgery in contrast-enhancing tumors made correct identification of tumor remnants in ioMRI more difficult, with a higher rate of false-positive ioMRI signals in the re-craniotomy group. The majority of TIMs were associated with the inability to distinguish contrast enhancement from hyperacute hemorrhage. The addition of a specific sequence in ioMRI to further differentiate both should be investigated in future studies.
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Affiliation(s)
- Sophie S. Wang
- Department of Neurosurgery, Eberhard Karls University Tübingen, Germany
- Institute of Intensive Care Medicine, University Hospital Zurich
| | - Friederike Selge
- Institute of Intensive Care Medicine, University Hospital Zurich
| | - Martina Sebök
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich
| | - Pierre Scheffler
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich
| | - Yang Yang
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich
- Department of Neurosurgery, Kantonsspital St. Gallen, Medical School St. Gallen, Switzerland
| | - Giovanna Brandi
- Institute of Intensive Care Medicine, University Hospital Zurich
| | - Sebastian Winklhofer
- Department of Neuroradiology, University Hospital Zurich, Clinical Neuroscience Center, Zurich; and
| | - Oliver Bozinov
- Department of Neurosurgery, University Hospital Zurich, Clinical Neuroscience Center, University of Zurich
- Department of Neurosurgery, Kantonsspital St. Gallen, Medical School St. Gallen, Switzerland
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Massicotte-Tisluck K, Vanderweyen D, Vendrell JF, Fortin D, Gahide G. Comparison of Measurement Techniques and Response Criteria for MR Imaging Follow-up in Adult Primary Central Nervous System Lymphoma. AJNR Am J Neuroradiol 2021; 42:1415-1420. [PMID: 33926900 DOI: 10.3174/ajnr.a7132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 02/19/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Current guidelines proposed for the measurement of primary central nervous system lymphoma in 2005 have indicated that unidimensional and bidimensional measurements may be used, using the same threshold for response categorization, because no clinical study has evaluated the agreement among the measurement techniques. Hence, our study assessed the agreement among different measurements. MATERIALS AND METHODS In this retrospective study, primary central nervous system lymphoma lesions were measured with different techniques (longest 1D, axial 1D, 2D, 3D, and the Response Evaluation Criteria in Solid Tumor) on consecutive MR images. Intra- and interobserver correlations were calculated with intraclass correlation coefficients. Correlations between raw measurements and variations in size compared with baseline were evaluated with the Spearman rank correlation, and agreement among response categories was evaluated. RESULTS A total of 304 examinations obtained in 40 patients was assessed. The intraobserver intraclass correlation coefficient for 3D, 2D, and longest 1D were ≥0.993. The interobserver intraclass correlation coefficient was ≥0.967. The correlations in raw measurements and size variation in comparison with 3D were respectively; 0.99 and 0.98 for 2D; 0.94 and 0.92 for longest 1D; 0.94 and 0.83 for axial 1D; and 0.90 and 0.79 for Response Evaluation Criteria in Solid Tumor. With 20%-30% and 25%-50% thresholds for unidimensional techniques, response categorizations were 95% and 95% for 2D, 92.5% and 90% for the longest 1D, 87.5% and 82.5% for axial 1D, and 90% and 85% for the Response Evaluation Criteria in Solid Tumor. CONCLUSIONS Both longest 1D and 2D demonstrated excellent correlations with 3D measurements. The longest 1D could be used for the follow-up of primary central nervous system lymphoma. If unidimensional measurements were used, 20% and 30% cutoffs should be used for defining response categorization instead of the current guidelines.
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Affiliation(s)
- K Massicotte-Tisluck
- From the Département d'Imagerie Médicale, (K.M.-T., D.V., G.G.), Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
- Faculté de Médecine et des Sciences de la Santé (K.M.-T., D.V.), Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - D Vanderweyen
- From the Département d'Imagerie Médicale, (K.M.-T., D.V., G.G.), Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
- Faculté de Médecine et des Sciences de la Santé (K.M.-T., D.V.), Université de Sherbrooke, Sherbrooke, Québec, Canada
| | | | - D Fortin
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Etienne Le Bel (D.F., G.G.), Université de Sherbrooke, Sherbrooke, Québec, Canada
- Service de Neurochirurgie, Département de Chirurgie (D.F.), Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | - G Gahide
- From the Département d'Imagerie Médicale, (K.M.-T., D.V., G.G.), Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
- Service de Neurochirurgie, Département de Chirurgie (D.F.), Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
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Kiesel B, Freund J, Reichert D, Wadiura L, Erkkilae MT, Woehrer A, Hervey-Jumper S, Berger MS, Widhalm G. 5-ALA in Suspected Low-Grade Gliomas: Current Role, Limitations, and New Approaches. Front Oncol 2021; 11:699301. [PMID: 34395266 PMCID: PMC8362830 DOI: 10.3389/fonc.2021.699301] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 07/19/2021] [Indexed: 11/13/2022] Open
Abstract
Radiologically suspected low-grade gliomas (LGG) represent a special challenge for the neurosurgeon during surgery due to their histopathological heterogeneity and indefinite tumor margin. Therefore, new techniques are required to overcome these current surgical drawbacks. Intraoperative visualization of brain tumors with assistance of 5-aminolevulinic acid (5-ALA) induced protoporphyrin IX (PpIX) fluorescence is one of the major advancements in the neurosurgical field in the last decades. Initially, this technique was exclusively applied for fluorescence-guided surgery of high-grade glioma (HGG). In the last years, the use of 5-ALA was also extended to other indications such as radiologically suspected LGG. Here, we discuss the current role of 5-ALA for intraoperative visualization of focal malignant transformation within suspected LGG. Furthermore, we discuss the current limitations of the 5-ALA technology in pure LGG which usually cannot be visualized by visible fluorescence. Finally, we introduce new approaches based on fluorescence technology for improved detection of pure LGG tissue such as spectroscopic PpIX quantification fluorescence lifetime imaging of PpIX and confocal microscopy to optimize surgery.
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Affiliation(s)
- Barbara Kiesel
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Julia Freund
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - David Reichert
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.,Christian Doppler Laboratory OPTRAMED, Medical University of Vienna, Vienna, Austria
| | - Lisa Wadiura
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Mikael T Erkkilae
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Adelheid Woehrer
- Department of Neurology, Institute for Neuropathology and Neurochemistry, Medical University of Vienna, Vienna, Austria
| | - Shawn Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States
| | - Georg Widhalm
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
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Rykkje AM, Li D, Skjøth-Rasmussen J, Larsen VA, Nielsen MB, Hansen AE, Carlsen JF. Surgically Induced Contrast Enhancements on Intraoperative and Early Postoperative MRI Following High-Grade Glioma Surgery: A Systematic Review. Diagnostics (Basel) 2021; 11:diagnostics11081344. [PMID: 34441279 PMCID: PMC8392564 DOI: 10.3390/diagnostics11081344] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/18/2021] [Accepted: 07/21/2021] [Indexed: 11/24/2022] Open
Abstract
For the radiological assessment of resection of high-grade gliomas, a 72-h diagnostic window is recommended to limit surgically induced contrast enhancements. However, such enhancements may occur earlier than 72 h post-surgery. This systematic review aimed to assess the evidence on the timing of the postsurgical MRI. PubMed, Embase, Web of Science and Cochrane were searched following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only original research articles describing surgically induced contrast enhancements on MRI after resection for high-grade gliomas were included and analysed. The frequency of different contrast enhancement patterns on intraoperative MRI (iMRI) and early postoperative MRI (epMRI) was recorded. The search resulted in 1443 studies after removing duplicates, and a total of 12 studies were chosen for final review. Surgically induced contrast enhancements were reported at all time points after surgery, including on iMRI, but their type and frequency vary. Thin linear contrast enhancements were commonly found to be surgically induced and were less frequently recorded on postoperative days 1 and 2. This suggests that the optimal time to scan may be at or before this time. However, the evidence is limited, and higher-quality studies using larger and consecutively sampled populations are needed.
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Affiliation(s)
- Alexander Malcolm Rykkje
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (D.L.); (V.A.L.); (M.B.N.); (A.E.H.); (J.F.C.)
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
- Correspondence:
| | - Dana Li
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (D.L.); (V.A.L.); (M.B.N.); (A.E.H.); (J.F.C.)
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Jane Skjøth-Rasmussen
- Department of Neurosurgery, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark;
| | - Vibeke Andrée Larsen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (D.L.); (V.A.L.); (M.B.N.); (A.E.H.); (J.F.C.)
| | - Michael Bachmann Nielsen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (D.L.); (V.A.L.); (M.B.N.); (A.E.H.); (J.F.C.)
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Adam Espe Hansen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (D.L.); (V.A.L.); (M.B.N.); (A.E.H.); (J.F.C.)
- Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Jonathan Frederik Carlsen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark; (D.L.); (V.A.L.); (M.B.N.); (A.E.H.); (J.F.C.)
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Sun R, Cuthbert H, Watts C. Fluorescence-Guided Surgery in the Surgical Treatment of Gliomas: Past, Present and Future. Cancers (Basel) 2021; 13:cancers13143508. [PMID: 34298721 PMCID: PMC8304525 DOI: 10.3390/cancers13143508] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 07/06/2021] [Accepted: 07/08/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Gliomas are aggressive central nervous system tumours. The emergence and recent widespread adoption of 5-aminolevulinic acid and fluorescence guided surgery have improved the extent of resection, with implications for improved survival and progression-free survival. This review describes the history, rationale and mechanism behind the use of 5-aminolevulinic acid and fluorescence-guided surgery. We also discuss current limitations and future directions for this important adjunct to glioma surgery. This review aims to provide readers with an up-to-date overview and evidence base on this important topic. Abstract Gliomas are central nervous systems tumours which are diffusely infiltrative and difficult to treat. The extent of surgical resection is correlated with improved outcomes, including survival and disease-free progression. Cancerous tissue can be directly visualised intra-operatively under fluorescence by administration of 5-aminolevulinic acid to the patient. The adoption of this technique has allowed surgeons worldwide to achieve greater extents of resection, with implications for improved prognosis. However, there are practical limitations to use of 5-aminolevulinic acid. New adjuncts in the field of fluorescence-guided surgery aim to improve recognition of the interface between tumour and brain with the objective of improving resection and patient outcomes.
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Affiliation(s)
- Rosa Sun
- Department of Neurosurgery, Queen Elizabeth Hospital, Birmingham B15 2GW, UK;
- Correspondence: (R.S.); (H.C.)
| | - Hadleigh Cuthbert
- Department of Neurosurgery, Queen Elizabeth Hospital, Birmingham B15 2GW, UK;
- Correspondence: (R.S.); (H.C.)
| | - Colin Watts
- Department of Neurosurgery, Queen Elizabeth Hospital, Birmingham B15 2GW, UK;
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK
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Abstract
Clinical trials play a critical role in discovering new treatments, but the path to regulatory approval can be cumbersome and time consuming. Efforts to increase the efficiency and interpretability of clinical trials within the neuro-oncology community have focused on standardization of response assessment, development of consensus guidelines for clinical trial conduct, decentralization of clinical trials, removal of barriers to clinical trial accrual, and re-examination of patient eligibility criteria.
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Affiliation(s)
- Eudocia Q Lee
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
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35
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Lara-Velazquez M, Shireman JM, Lehrer EJ, Bowman KM, Ruiz-Garcia H, Paukner MJ, Chappell RJ, Dey M. A Comparison Between Chemo-Radiotherapy Combined With Immunotherapy and Chemo-Radiotherapy Alone for the Treatment of Newly Diagnosed Glioblastoma: A Systematic Review and Meta-Analysis. Front Oncol 2021; 11:662302. [PMID: 34046356 PMCID: PMC8144702 DOI: 10.3389/fonc.2021.662302] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/19/2021] [Indexed: 12/15/2022] Open
Abstract
Background Immunotherapy for GBM is an emerging field which is increasingly being investigated in combination with standard of care treatment options with variable reported success rates. Objective To perform a systematic review of the available data to evaluate the safety and efficacy of combining immunotherapy with standard of care chemo-radiotherapy following surgical resection for the treatment of newly diagnosed GBM. Methods A literature search was performed for published clinical trials evaluating immunotherapy for GBM from January 1, 2000, to October 1, 2020, in PubMed and Cochrane using PICOS/PRISMA/MOOSE guidelines. Only clinical trials with two arms (combined therapy vs. control therapy) were included. Outcomes were then pooled using weighted random effects model for meta-analysis and compared using the Wald-type test. Primary outcomes included 1-year overall survival (OS) and progression-free survival (PFS), secondary outcomes included severe adverse events (SAE) grade 3 or higher. Results Nine randomized phase II and/or III clinical trials were included in the analysis, totaling 1,239 patients. The meta-analysis revealed no statistically significant differences in group’s 1-year OS [80.6% (95% CI: 68.6%–90.2%) vs. 72.6% (95% CI: 65.7%–78.9%), p = 0.15] or in 1-year PFS [37% (95% CI: 26.4%–48.2%) vs. 30.4% (95% CI: 25.4%–35.6%) p = 0.17] when the immunotherapy in combination with the standard of care group (combined therapy) was compared to the standard of care group alone (control). Severe adverse events grade 3 to 5 were more common in the immunotherapy and standard of care group than in the standard of care group (47.3%, 95% CI: 20.8–74.6%, vs 43.8%, 95% CI: 8.7–83.1, p = 0.81), but this effect also failed to reach statistical significance. Conclusion Our results suggests that immunotherapy can be safely combined with standard of care chemo-radiotherapy without significant increase in grade 3 to 5 SAE; however, there is no statistically significant increase in overall survival or progression free survival with the combination therapy.
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Affiliation(s)
- Montserrat Lara-Velazquez
- Department of Neurosurgery, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, United States
| | - Jack M Shireman
- Department of Neurosurgery, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, United States
| | - Eric J Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Kelsey M Bowman
- Department of Neurosurgery, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, United States
| | - Henry Ruiz-Garcia
- Department of Neurosurgery and Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States
| | - Mitchell J Paukner
- Department of Statistics, Biostatistics and Medical Informatics, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, United States
| | - Richard J Chappell
- Department of Statistics, Biostatistics and Medical Informatics, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, United States
| | - Mahua Dey
- Department of Neurosurgery, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, United States
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Bapuraj JR, Perni K, Gomez-Hassan D, Srinivasan A. Imaging Surveillance of Gliomas: Role of Basic and Advanced Imaging Techniques. Radiol Clin North Am 2021; 59:395-407. [PMID: 33926685 DOI: 10.1016/j.rcl.2021.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
It is essential to be aware of widely accepted criteria for grading of treatment response in both high-grade and low-grade gliomas. These criteria primarily take into account responses of measurable and nonmeasurable lesions on T2-weighted, fluid-attenuated inversion recovery, and postcontrast images to determine a final category of response for the patient. The additional role that other advanced imaging techniques, such as diffusion and perfusion imaging, can play in the surveillance of these tumors is discussed in this article.
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Affiliation(s)
- Jayapalli Rajiv Bapuraj
- Division of Neuroradiology, Department of Radiology, University of Michigan Medical School, Michigan Medicine, 1500 East Medical Center Drive, UMHS, B2-A209, Ann Arbor, MI 48109, USA
| | - Krishna Perni
- Division of Neuroradiology, Department of Radiology, University of Michigan Medical School, Michigan Medicine, 1500 East Medical Center Drive, UMHS, B2-A209, Ann Arbor, MI 48109, USA
| | - Diana Gomez-Hassan
- Division of Neuroradiology, Department of Radiology, University of Michigan Medical School, Michigan Medicine, 4260 Plymouth Road, Ann Arbor, MI 48105, USA
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan Medical School, Michigan Medicine, 1500 East Medical Center Drive, UMHS, B2-A209, Ann Arbor, MI 48109, USA.
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Karschnia P, Vogelbaum MA, van den Bent M, Cahill DP, Bello L, Narita Y, Berger MS, Weller M, Tonn JC. Evidence-based recommendations on categories for extent of resection in diffuse glioma. Eur J Cancer 2021; 149:23-33. [PMID: 33819718 DOI: 10.1016/j.ejca.2021.03.002] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/01/2021] [Indexed: 12/23/2022]
Abstract
Surgical resection represents the standard of care in diffuse glioma, and more extensive tumour resection appears to be associated with favourable outcome. Up to now, terminology to describe extent of resection has been inconsistently applied across clinical trials which hampers comparative analysis of cohorts between different studies. Based on a comprehensive literature review, we developed evidence-based expert recommendations on categories for extent of resection. Recommendations are formulated for the categories 'biopsy', 'partial resection', 'subtotal resection', 'near total resection', 'complete resection' and 'supramaximal resection'. Definitions rest on reduction of contrast- and non-contrast-enhancing tumour in glioblastoma, and on reduction of T2/FLAIR-hyperintense tumour in gliomas WHO grade 2 or 3. Both relative reduction of tumour volume (in percentage) as a measurement of surgical efficacy and absolute residual tumour volume (in cm3) as a measurement of remaining tumour burden are incorporated into the categories for extent of resection. Class of evidence for the proposed categories ranges from class IIB to IV. Limitations of the suggested categories are discussed. The proposed categories on extent of resection offer a framework to standardize nomenclature based on previous studies, and will need to be evaluated in prospective, molecularly well-defined cohorts. Our categories may eventually help as a stratification factor for future clinical trials.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University School of Medicine, Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | | | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Daniel P Cahill
- Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Lorenzo Bello
- Department of Oncology and Hematology-Oncology, Neurosurgical Oncology Unit, Università Degli Studi di Milano, Galeazzi Hospital, IRCCS, Milano, Italy
| | - Yoshitaka Narita
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University School of Medicine, Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, Germany.
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Osada Y, Saito R, Shibahara I, Sasaki K, Shoji T, Kanamori M, Sonoda Y, Kumabe T, Watanabe M, Tominaga T. H3K27M and TERT promoter mutations are poor prognostic factors in surgical cases of adult thalamic high-grade glioma. Neurooncol Adv 2021; 3:vdab038. [PMID: 34013205 PMCID: PMC8117440 DOI: 10.1093/noajnl/vdab038] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Background Thalamic high-grade gliomas (HGGs) are rare tumors with a dismal prognosis. H3K27M and telomerase reverse transcriptase promoter (TERTp) mutations reportedly contribute to poor prognoses in HGG cases. We investigated the outcomes of surgically treated adult thalamic HGGs to evaluate the prognostic significance of H3K27M and TERTp mutations. Methods We retrospectively analyzed 25 adult patients with thalamic HGG who underwent maximum surgical resection from January 1997 to March 2020. The histological and molecular characteristics, progression-free survival (PFS), and overall survival (OS) of the patients were compared. For molecular characteristics, target sequencing was used to determine the H3F3A, HIST1H3B, and TERTp mutations. Results H3K27M mutations were detected in 12/25 (48.0%) patients. TERTp mutations were not detected in H3K27M-mutant gliomas but were detected in 8/13 (61.5%) of H3 wild-type gliomas. Although it was not significant, H3K27M-mutant gliomas tended to have a shorter PFS (6.7 vs 13.1 months; P = .2928) and OS (22.8 vs 24.4 months; P = .2875) than H3 wild-type gliomas. Moreover, the prognosis of TERTp-mutant gliomas was as poor as that of H3K27M-mutant gliomas. Contrary, 5 gliomas harboring both H3 and TERTp wild-type showed a better median PFS (59.2 vs 6.4 months; P = .0456) and OS (71.8 vs 24.4 months; P = .1168) than those harboring H3K27M or TERTp mutations. Conclusions TERTp-mutant gliomas included in the H3 wild-type glioma group limited patient survival as they exhibited an aggressive course similar to H3K27M-mutant gliomas. Comprehensive molecular work-up for the H3 wild-type cases may further confirm this finding.
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Affiliation(s)
- Yoshinari Osada
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryuta Saito
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ichiyo Shibahara
- Department of Neurosurgery, Kitasato University Graduate School of Medicine, Kanagawa, Japan
| | - Keisuke Sasaki
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takuhiro Shoji
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masayuki Kanamori
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yukihiko Sonoda
- Department of Neurosurgery, Yamagata University Graduate School of Medicine, Yamagata, Japan
| | - Toshihiro Kumabe
- Department of Neurosurgery, Kitasato University Graduate School of Medicine, Kanagawa, Japan
| | - Mika Watanabe
- Department of Pathology, Tohoku University Hospital, Sendai, Japan
| | - Teiji Tominaga
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan
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Li Z, Yang F, Xu C, Ma C, Zhao Y. Clinical value of neuronavigation combined with a fluorescent staining technique during microsurgery for treating supratentorial glioma: A case-control observational study. GLIOMA 2021. [DOI: 10.4103/glioma.glioma_27_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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40
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Riva M, Lopci E, Gay LG, Nibali MC, Rossi M, Sciortino T, Castellano A, Bello L. Advancing Imaging to Enhance Surgery: From Image to Information Guidance. Neurosurg Clin N Am 2021; 32:31-46. [PMID: 33223024 DOI: 10.1016/j.nec.2020.08.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Conventional magnetic resonance imaging (cMRI) has an established role as a crucial disease parameter in the multidisciplinary management of glioblastoma, guiding diagnosis, treatment planning, assessment, and follow-up. Yet, cMRI cannot provide adequate information regarding tissue heterogeneity and the infiltrative extent beyond the contrast enhancement. Advanced magnetic resonance imaging and PET and newer analytical methods are transforming images into data (radiomics) and providing noninvasive biomarkers of molecular features (radiogenomics), conveying enhanced information for improving decision making in surgery. This review analyzes the shift from image guidance to information guidance that is relevant for the surgical treatment of glioblastoma.
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Affiliation(s)
- Marco Riva
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Via Festa del Perdono 7, Milan 20122, Italy; IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy.
| | - Egesta Lopci
- Unit of Nuclear Medicine, Humanitas Clinical and Research Center - IRCCS, Via Manzoni 56, Rozzano, Milan 20089, Italy. https://twitter.com/LopciEgesta
| | - Lorenzo G Gay
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
| | - Marco Conti Nibali
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy. https://twitter.com/dr_mcn
| | - Marco Rossi
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
| | - Tommaso Sciortino
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
| | - Antonella Castellano
- Neuroradiology Unit and CERMAC, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan 20123, Italy. https://twitter.com/antocastella
| | - Lorenzo Bello
- IRCCS Istituto Ortopedico Galeazzi, U.O. Neurochirurgia Oncologica, Milan, Italy; Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy
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41
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Núñez LM, Romero E, Julià-Sapé M, Ledesma-Carbayo MJ, Santos A, Arús C, Candiota AP, Vellido A. Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction. Sci Rep 2020; 10:19699. [PMID: 33184423 PMCID: PMC7661707 DOI: 10.1038/s41598-020-76686-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 10/29/2020] [Indexed: 12/04/2022] Open
Abstract
Glioblastoma is the most frequent aggressive primary brain tumor amongst human adults. Its standard treatment involves chemotherapy, for which the drug temozolomide is a common choice. These are heterogeneous and variable tumors which might benefit from personalized, data-based therapy strategies, and for which there is room for improvement in therapy response follow-up, investigated with preclinical models. This study addresses a preclinical question that involves distinguishing between treated and control (untreated) mice bearing glioblastoma, using machine learning techniques, from magnetic resonance-based data in two modalities: MRI and MRSI. It aims to go beyond the comparison of methods for such discrimination to provide an analytical pipeline that could be used in subsequent human studies. This analytical pipeline is meant to be a usable and interpretable tool for the radiology expert in the hope that such interpretation helps revealing new insights about the problem itself. For that, we propose coupling source extraction-based and radiomics-based data transformations with feature selection. Special attention is paid to the generation of radiologist-friendly visual nosological representations of the analyzed tumors.
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Affiliation(s)
- Luis Miguel Núñez
- Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain
| | - Enrique Romero
- Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Center, Barcelona, Spain.,Department of Computer Science, Universitat Politècnica de Catalunya (UPC BarcelonaTech), Barcelona, Spain
| | - Margarida Julià-Sapé
- Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.,Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.,Institut de Biotecnologia i Biomedicina, Cerdanyola del Vallès, Spain
| | - María Jesús Ledesma-Carbayo
- Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.,Biomedical Image Technologies Laboratory (BIT), ETSI Telecomunicación, Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Andrés Santos
- Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.,Biomedical Image Technologies Laboratory (BIT), ETSI Telecomunicación, Universidad Politécnica de Madrid (UPM), Madrid, Spain
| | - Carles Arús
- Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.,Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.,Institut de Biotecnologia i Biomedicina, Cerdanyola del Vallès, Spain
| | - Ana Paula Candiota
- Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain.,Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.,Institut de Biotecnologia i Biomedicina, Cerdanyola del Vallès, Spain
| | - Alfredo Vellido
- Centro de Investigación Biomédica en Red, Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain. .,Intelligent Data Science and Artificial Intelligence (IDEAI-UPC) Research Center, Barcelona, Spain. .,Department of Computer Science, Universitat Politècnica de Catalunya (UPC BarcelonaTech), Barcelona, Spain.
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Abstract
Whenever possible, maximal safe resection is the first intervention for management of glioblastoma. Resection offers tissue for diagnosis, decompression of the brain, cytoreduction, and has been associated with prolonged survival in numerous retrospective studies. In this review, we provide a critical overview of the literature associating glioblastoma resection with survival. We discuss techniques that enhance extent of resection, and the role of clinical and surgeon-variables. At last, we analyze the covariates and confounders that might influence the relationship between extent of resection and survival for glioblastoma, as these might ultimately also influence outcomes and other therapeutic interventions tested in trials.
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43
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Wen PY, Weller M, Lee EQ, Alexander BM, Barnholtz-Sloan JS, Barthel FP, Batchelor TT, Bindra RS, Chang SM, Chiocca EA, Cloughesy TF, DeGroot JF, Galanis E, Gilbert MR, Hegi ME, Horbinski C, Huang RY, Lassman AB, Le Rhun E, Lim M, Mehta MP, Mellinghoff IK, Minniti G, Nathanson D, Platten M, Preusser M, Roth P, Sanson M, Schiff D, Short SC, Taphoorn MJB, Tonn JC, Tsang J, Verhaak RGW, von Deimling A, Wick W, Zadeh G, Reardon DA, Aldape KD, van den Bent MJ. Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions. Neuro Oncol 2020; 22:1073-1113. [PMID: 32328653 PMCID: PMC7594557 DOI: 10.1093/neuonc/noaa106] [Citation(s) in RCA: 510] [Impact Index Per Article: 127.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Glioblastomas are the most common form of malignant primary brain tumor and an important cause of morbidity and mortality. In recent years there have been important advances in understanding the molecular pathogenesis and biology of these tumors, but this has not translated into significantly improved outcomes for patients. In this consensus review from the Society for Neuro-Oncology (SNO) and the European Association of Neuro-Oncology (EANO), the current management of isocitrate dehydrogenase wildtype (IDHwt) glioblastomas will be discussed. In addition, novel therapies such as targeted molecular therapies, agents targeting DNA damage response and metabolism, immunotherapies, and viral therapies will be reviewed, as well as the current challenges and future directions for research.
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Affiliation(s)
- Patrick Y Wen
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Eudocia Quant Lee
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Brian M Alexander
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jill S Barnholtz-Sloan
- Case Western Reserve University School of Medicine and University Hospitals of Cleveland, Cleveland, Ohio, USA
| | - Floris P Barthel
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Tracy T Batchelor
- Department of Neurology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute and Harvard Medical School
| | - Ranjit S Bindra
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Susan M Chang
- University of California San Francisco, San Francisco, California, USA
| | - E Antonio Chiocca
- Department of Neurosurgery, Brigham and Women’s Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Timothy F Cloughesy
- David Geffen School of Medicine, Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
| | - John F DeGroot
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Mark R Gilbert
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Monika E Hegi
- Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Raymond Y Huang
- Division of Neuroradiology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew B Lassman
- Department of Neurology and Herbert Irving Comprehensive Cancer Center, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA
| | - Emilie Le Rhun
- University of Lille, Inserm, Neuro-oncology, General and Stereotaxic Neurosurgery service, University Hospital of Lille, Lille, France; Breast Cancer Department, Oscar Lambret Center, Lille, France and Department of Neurology & Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Lim
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Ingo K Mellinghoff
- Department of Neurology and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Giuseppe Minniti
- Radiation Oncology Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - David Nathanson
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, USA
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Heidelberg, Germany
| | - Matthias Preusser
- Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria
| | - Patrick Roth
- Department of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Marc Sanson
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière – Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - David Schiff
- University of Virginia School of Medicine, Division of Neuro-Oncology, Department of Neurology, University of Virginia, Charlottesville, Virginia, USA
| | - Susan C Short
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Martin J B Taphoorn
- Department of Neurology, Medical Center Haaglanden, The Hague and Department of Neurology, Leiden University Medical Center, the Netherlands
| | | | - Jonathan Tsang
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, USA
| | - Roel G W Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Andreas von Deimling
- Neuropathology and Clinical Cooperation Unit Neuropathology, University Heidelberg and German Cancer Center, Heidelberg, Germany
| | - Wolfgang Wick
- Department of Neurology and Neuro-oncology Program, National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Gelareh Zadeh
- MacFeeters Hamilton Centre for Neuro-Oncology Research, Princess Margaret Cancer Centre, Toronto, Canada
| | - David A Reardon
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kenneth D Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
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Schiff D, Van den Bent M, Vogelbaum MA, Wick W, Miller CR, Taphoorn M, Pope W, Brown PD, Platten M, Jalali R, Armstrong T, Wen PY. Recent developments and future directions in adult lower-grade gliomas: Society for Neuro-Oncology (SNO) and European Association of Neuro-Oncology (EANO) consensus. Neuro Oncol 2020; 21:837-853. [PMID: 30753579 DOI: 10.1093/neuonc/noz033] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The finding that most grades II and III gliomas harbor isocitrate dehydrogenase (IDH) mutations conveying a relatively favorable and fairly similar prognosis in both tumor grades highlights that these tumors represent a fundamentally different entity from IDH wild-type gliomas exemplified in most glioblastoma. Herein we review the most recent developments in molecular neuropathology leading to reclassification of these tumors based upon IDH and 1p/19q status, as well as the potential roles of methylation profiling and deletional analysis of cyclin-dependent kinase inhibitor 2A and 2B. We discuss the epidemiology, clinical manifestations, benefit of surgical resection, and neuroimaging features of lower-grade gliomas as they relate to molecular subtype, including advanced imaging techniques such as 2-hydroxyglutarate magnetic resonance spectroscopy and amino acid PET scanning. Recent, ongoing, and planned studies of radiation therapy and both cytotoxic and targeted chemotherapies are summarized, including both small molecule and immunotherapy approaches specifically targeting the mutant IDH protein.
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Affiliation(s)
- David Schiff
- Department of Neurology, University of Virginia, Charlottesville, Virginia
| | - Martin Van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | - Wolfgang Wick
- Divison of Neuro-Oncology, German Cancer Research Center, Heidelberg, Germany
| | - C Ryan Miller
- Pathology and Lab Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Martin Taphoorn
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Whitney Pope
- Section of Neuroradiology, UCLA, Los Angeles, California
| | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota
| | - Michael Platten
- Department of Neurology, Mannheim University Hospital, Mannheim, Germany
| | | | - Terri Armstrong
- Neuro-Oncology Branch, National Institute of Health, Bethesda, Maryland
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
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45
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Ye Z, Price RL, Liu X, Lin J, Yang Q, Sun P, Wu AT, Wang L, Han RH, Song C, Yang R, Gary SE, Mao DD, Wallendorf M, Campian JL, Li JS, Dahiya S, Kim AH, Song SK. Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology. Clin Cancer Res 2020; 26:5388-5399. [PMID: 32694155 DOI: 10.1158/1078-0432.ccr-20-0736] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 06/01/2020] [Accepted: 07/15/2020] [Indexed: 01/10/2023]
Abstract
PURPOSE Glioblastoma (GBM) is one of the deadliest cancers with no cure. While conventional MRI has been widely adopted to examine GBM clinically, accurate neuroimaging assessment of tumor histopathology for improved diagnosis, surgical planning, and treatment evaluation remains an unmet need in the clinical management of GBMs. EXPERIMENTAL DESIGN We employ a novel diffusion histology imaging (DHI) approach, combining diffusion basis spectrum imaging (DBSI) and machine learning, to detect, differentiate, and quantify areas of high cellularity, tumor necrosis, and tumor infiltration in GBM. RESULTS Gadolinium-enhanced T1-weighted or hyperintense fluid-attenuated inversion recovery failed to reflect the morphologic complexity underlying tumor in patients with GBM. Contrary to the conventional wisdom that apparent diffusion coefficient (ADC) negatively correlates with increased tumor cellularity, we demonstrate disagreement between ADC and histologically confirmed tumor cellularity in GBM specimens, whereas DBSI-derived restricted isotropic diffusion fraction positively correlated with tumor cellularity in the same specimens. By incorporating DBSI metrics as classifiers for a supervised machine learning algorithm, we accurately predicted high tumor cellularity, tumor necrosis, and tumor infiltration with 87.5%, 89.0%, and 93.4% accuracy, respectively. CONCLUSIONS Our results suggest that DHI could serve as a favorable alternative to current neuroimaging techniques in guiding biopsy or surgery as well as monitoring therapeutic response in the treatment of GBM.
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Affiliation(s)
- Zezhong Ye
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Richard L Price
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Xiran Liu
- Department of Electrical & System Engineering, Washington University, St. Louis, Missouri
| | - Joshua Lin
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Qingsong Yang
- Department of Radiology, Changhai Hospital, Yangpu District, Shanghai, China
| | - Peng Sun
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Anthony T Wu
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri
| | - Liang Wang
- Department of Electrical & System Engineering, Washington University, St. Louis, Missouri
| | - Rowland H Han
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Chunyu Song
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri
| | - Ruimeng Yang
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Sam E Gary
- Medical Scientist Training Program, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Diane D Mao
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Michael Wallendorf
- Department of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Jian L Campian
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Jr-Shin Li
- Department of Electrical & System Engineering, Washington University, St. Louis, Missouri
| | - Sonika Dahiya
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri.
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.
| | - Sheng-Kwei Song
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
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Kiesel B, Thomé CM, Weiss T, Jakola AS, Darlix A, Pellerino A, Furtner J, Kerschbaumer J, Freyschlag CF, Wick W, Preusser M, Widhalm G, Berghoff AS. Perioperative imaging in patients treated with resection of brain metastases: a survey by the European Association of Neuro-Oncology (EANO) Youngsters committee. BMC Cancer 2020; 20:410. [PMID: 32398144 PMCID: PMC7216695 DOI: 10.1186/s12885-020-06897-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/23/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Neurosurgical resection represents an important treatment option in the modern, multimodal therapy approach of brain metastases (BM). Guidelines for perioperative imaging exist for primary brain tumors to guide postsurgical treatment. Optimal perioperative imaging of BM patients is so far a matter of debate as no structured guidelines exist. METHODS A comprehensive questionnaire about perioperative imaging was designed by the European Association of Neuro-Oncology (EANO) Youngsters Committee. The survey was distributed to physicians via the EANO network to perform a descriptive overview on the current habits and their variability on perioperative imaging. Chi square test was used for dichotomous variables. RESULTS One hundred twenty physicians worldwide responded to the survey. MRI was the preferred preoperative imaging method (93.3%). Overall 106/120 (88.3%) physicians performed postsurgical imaging routinely including MRI alone (62/120 [51.7%]), postoperative CT (29/120 [24.2%]) and MRI + CT (15/120 [12.5%]). No correlation of postsurgical MRI utilization in academic vs. non-academic hospitals (58/89 [65.2%] vs. 19/31 [61.3%], p = 0.698) was found. Early postoperative MRI within ≤72 h after resection is obtained by 60.8% of the participants. The most frequent reason for postsurgical imaging was to evaluate the extent of tumor resection (73/120 [60.8%]). In case of residual tumor, 32/120 (26.7%) participants indicated to adjust radiotherapy, 34/120 (28.3%) to consider re-surgery to achieve complete resection and 8/120 (6.7%) to evaluate both. CONCLUSIONS MRI was the preferred imaging method in the preoperative setting. In the postoperative course, imaging modalities and timing showed high variability. International guidelines for perioperative imaging with special focus on postoperative MRI to assess residual tumor are warranted to optimize standardized management and adjuvant treatment decisions for BM patients.
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Affiliation(s)
- Barbara Kiesel
- Department of Neurosurgery, Medical University Vienna, Vienna, Austria.,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Carina M Thomé
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tobias Weiss
- Department of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Asgeir S Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Amélie Darlix
- Department of Medical Oncology, Institut Régional Du Cancer Montpellier, University of Montpellier, Montpellier, France
| | - Alessia Pellerino
- Department of Neuro-Oncology, University and City of Health and Science Hospital of Turin, Turin, Italy
| | - Julia Furtner
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria
| | | | | | - Wolfgang Wick
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.,Neurology Clinic & National Center for Tumor Disease, University of Heidelberg, Heidelberg, Germany
| | - Matthias Preusser
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.,Department of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Georg Widhalm
- Department of Neurosurgery, Medical University Vienna, Vienna, Austria.,Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Anna S Berghoff
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria. .,Department of Medicine I, Clinical Division of Oncology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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Müther M, Koch R, Weckesser M, Sporns P, Schwindt W, Stummer W. 5-Aminolevulinic Acid Fluorescence-Guided Resection of 18F-FET-PET Positive Tumor Beyond Gadolinium Enhancing Tumor Improves Survival in Glioblastoma. Neurosurgery 2020; 85:E1020-E1029. [PMID: 31215632 PMCID: PMC6855932 DOI: 10.1093/neuros/nyz199] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Accepted: 02/24/2019] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The value of early postoperative 18F-FET-PET in patients with glioblastoma (GBM) is unclear. Five-aminolevulinic acid (5-ALA) is used for fluorescence-guided resections in these patients and previous data suggest that fluorescence and 18F-FET-PET both demarcate larger tumor volumes than gadolinium enhanced magnet resonance imaging (MRI). OBJECTIVE To correlate fluorescence with enhancing volumes on postoperative MRI and 18F-FET-PET tumor volumes, and determine the value of postoperative 18F-FET-PET for predicting survival through observational study. METHODS GBM patients underwent fluorescence-guided resection after administration of 5-ALA followed by early postoperative MRI and 18F-FET-PET for determination of residual tissue volumes. All patients were treated with standard temozolomide radiochemotherapy and monitored for progression-free and overall survival (PFS, OS). RESULTS A total of 31 patients were included. For functional reasons, residual 5-ALA derived fluorescent tissue was left unresected in 18 patients with a median 18F-FET-PET volume of 17.82 cm3 (interquartile range 6.50-29.19). In patients without residual fluorescence, median 18F-FET-PET volume was 1.20 cm3 (interquartile range 0.87-5.50) and complete resection of gadolinium enhancing tumor was observed in 100% of patients. A 18F-FET-PET volume of above 4.3 cm3 was associated with worse OS (logrank P-value ≤ .05), also in patients with no residual contrast enhancing tumor on MRI. More patients in whom fluorescencing tissue had been removed completely had postoperative 18F-FET-PET tumor volumes below 4.3 cm3. CONCLUSION Postoperative 18F-FET-PET volumes predict OS and PFS. Resection of 5-ALA derived fluorescence beyond gadolinium enhancing tumor tissue leads to lower postoperative 18F-FET-PET tumor volumes and improved OS and PFS without additional deficits.
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Affiliation(s)
- Michael Müther
- Department of Neurosurgery, University Hospital Münster, Münster, Germany
| | - Raphael Koch
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany
| | - Matthias Weckesser
- Department of Nuclear Medicine, University Hospital Münster, Münster, Germany
| | - Peter Sporns
- Institute of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Wolfram Schwindt
- Institute of Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Walter Stummer
- Department of Neurosurgery, University Hospital Münster, Münster, Germany
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Brehmer S, Grimm MA, Förster A, Seiz-Rosenhagen M, Welzel G, Stieler F, Wenz F, Groden C, Mai S, Hänggi D, Giordano FA. Study Protocol: Early Stereotactic Gamma Knife Radiosurgery to Residual Tumor After Surgery of Newly Diagnosed Glioblastoma (Gamma-GBM). Neurosurgery 2020; 84:1133-1137. [PMID: 29688510 DOI: 10.1093/neuros/nyy156] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 03/27/2018] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Glioblastoma (GBM) is the most common malignant brain tumor in adult patients. Tumor recurrence commonly occurs around the resection cavity, especially after subtotal resection (STR). Consequently, the extent of resection correlates with overall survival (OS), suggesting that depletion of postoperative tumor remnants will improve outcome. OBJECTIVE To assess safety and efficacy of adding stereotactic radiosurgery (SRS) to the standard treatment of GBM in patients with postoperative residual tumor. METHODS Gamma-GBM is a single center, open-label, prospective, single arm, phase II study that includes patients with newly diagnosed GBM (intraoperative via frozen sections) who underwent STR (residual tumor will be identified by native and contrast enhanced T1-weighted magnetic resonance imaging scans). All patients will receive SRS with 15 Gy (prescribed to the 50% isodose enclosing all areas of residual tumor) early (within 24-72 h) after surgery. Thereafter, all patients undergo standard-of-care therapy for GBM (radiochemotherapy with 60 Gy external beam radiotherapy [EBRT] plus concomitant temozolomide and 6 cycles of adjuvant temozolomide chemotherapy). The primary outcome is median progression-free survival, secondary outcomes are median OS, occurrence of radiation induced acute (<3 wk), early delayed (<3 mo), and late (>3 mo post-SRS) neurotoxicity and incidence of symptomatic radionecrosis. EXPECTED OUTCOMES We expect to detect efficacy and safety signals by the immediate application of SRS to standard-of-care therapy in newly diagnosed GBM. DISCUSSION Early postoperative SRS to areas of residual tumor could bridge the therapeutic gap between surgery and adjuvant therapies.
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Affiliation(s)
- Stefanie Brehmer
- Department of Neurosurgery, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Mario Alexander Grimm
- Depa-rtment of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Alex Förster
- Department of Neuroradiology, Uni-versity Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Marcel Seiz-Rosenhagen
- Department of Neurosurgery, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Grit Welzel
- Depa-rtment of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Florian Stieler
- Depa-rtment of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Frederik Wenz
- Depa-rtment of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Christoph Groden
- Department of Neuroradiology, Uni-versity Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Sabine Mai
- Depa-rtment of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Daniel Hänggi
- Department of Neurosurgery, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
| | - Frank Anton Giordano
- Depa-rtment of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim University of Heidelberg, Mannheim, Germany
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Wu S, Calero-Pérez P, Villamañan L, Arias-Ramos N, Pumarola M, Ortega-Martorell S, Julià-Sapé M, Arús C, Candiota AP. Anti-tumour immune response in GL261 glioblastoma generated by Temozolomide Immune-Enhancing Metronomic Schedule monitored with MRSI-based nosological images. NMR IN BIOMEDICINE 2020; 33:e4229. [PMID: 31926117 DOI: 10.1002/nbm.4229] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Revised: 10/25/2019] [Accepted: 10/30/2019] [Indexed: 06/10/2023]
Abstract
Glioblastomas (GB) are brain tumours with poor prognosis even after aggressive therapy. Improvements in both therapeutic and follow-up strategies are urgently needed. In previous work we described an oscillatory pattern of response to Temozolomide (TMZ) using a standard administration protocol, detected through MRSI-based machine learning approaches. In the present work, we have introduced the Immune-Enhancing Metronomic Schedule (IMS) with an every 6-d TMZ administration at 60 mg/kg and investigated the consistence of such oscillatory behaviour. A total of n = 17 GL261 GB tumour-bearing C57BL/6j mice were studied with MRI/MRSI every 2 d, and the oscillatory behaviour (6.2 ± 1.5 d period from the TMZ administration day) was confirmed during response. Furthermore, IMS-TMZ produced significant improvement in mice survival (22.5 ± 3.0 d for controls vs 135.8 ± 78.2 for TMZ-treated), outperforming standard TMZ treatment. Histopathological correlation was investigated in selected tumour samples (n = 6) analyzing control and responding fields. Significant differences were found for CD3+ cells (lymphocytes, 3.3 ± 2.5 vs 4.8 ± 2.9, respectively) and Iba-1 immunostained area (microglia/macrophages, 16.8% ± 9.7% and 21.9% ± 11.4%, respectively). Unexpectedly, during IMS-TMZ treatment, tumours from some mice (n = 6) fully regressed and remained undetectable without further treatment for 1 mo. These animals were considered "cured" and a GL261 re-challenge experiment performed, with no tumour reappearance in five out of six cases. Heterogeneous therapy response outcomes were detected in tumour-bearing mice, and a selected group was investigated (n = 3 non-responders, n = 6 relapsing tumours, n = 3 controls). PD-L1 content was found ca. 3-fold increased in the relapsing group when comparing with control and non-responding groups, suggesting that increased lymphocyte inhibition could be associated to IMS-TMZ failure. Overall, data suggest that host immune response has a relevant role in therapy response/escape in GL261 tumours under IMS-TMZ therapy. This is associated to changes in the metabolomics pattern, oscillating every 6 d, in agreement with immune cycle length, which is being sampled by MRSI-derived nosological images.
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Affiliation(s)
- Shuang Wu
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Pilar Calero-Pérez
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 08193 Cerdanyola del Vallés, Spain
| | - Lucia Villamañan
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Nuria Arias-Ramos
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 08193 Cerdanyola del Vallés, Spain
| | - Martí Pumarola
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 08193 Cerdanyola del Vallés, Spain
- Unit of Murine and Comparative Pathology, Department of Animal Medicine and Animal Surgery, Veterinary Faculty, UAB, Cerdanyola del Vallès, Spain
| | | | - Margarida Julià-Sapé
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 08193 Cerdanyola del Vallés, Spain
- Institut de Biotecnologia i de Biomedicina (IBB), Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Carles Arús
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 08193 Cerdanyola del Vallés, Spain
- Institut de Biotecnologia i de Biomedicina (IBB), Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Ana Paula Candiota
- Departament de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 08193 Cerdanyola del Vallés, Spain
- Institut de Biotecnologia i de Biomedicina (IBB), Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
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Ung TH, Ney DE, Damek D, Rusthoven CG, Youssef AS, Lillehei KO, Ormond DR. The Neurologic Assessment in Neuro-Oncology (NANO) Scale as an Assessment Tool for Survival in Patients With Primary Glioblastoma. Neurosurgery 2020; 84:687-695. [PMID: 29618103 DOI: 10.1093/neuros/nyy098] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 03/01/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The Neurologic Assessment in Neuro-Oncology (NANO) scale is a standardized objective metric designed to measure neurological function in neuro-oncology. Current neuroradiological evaluation guidelines fail to use specific clinical criteria for progression. OBJECTIVE To determine if the NANO scale was a reliable assessment tool in glioblastoma (GBM) patients and whether it correlated to survival. METHODS Our group performed a retrospective review of all patients with newly diagnosed GBM from January 1, 2010, through December 31, 2012, at our institution. We applied the NANO scale, Karnofsky performance score (KPS), Eastern Cooperative Oncology Group (ECOG) scale, Macdonald criteria, and the Response Assessment in Neuro-Oncology (RANO) criteria to patients at the time of diagnosis as well as at 3, 6, and 12 mo. RESULTS Initial NANO score was correlated with overall survival at time of presentation. NANO progression was correlated with decreased survival in patients at 6 and 12 mo. A decrease in KPS was associated with survival at 3 and 6 mo, an increase in ECOG score was associated only at 3 mo, and radiological evaluation (RANO and Macdonald) was correlated at 3 and 6 mo. Only the NANO scale was associated with patient survival at 1 yr. NANO progression was the only metric that was linked to decreased overall survival when compared to RANO and Macdonald at 6 and 12 mo. CONCLUSION The NANO scale is specific to neuro-oncology and can be used to assess patients with glioma. This retrospective analysis demonstrates the usefulness of the NANO scale in glioblastoma.
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Affiliation(s)
- Timothy H Ung
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado
| | - Douglas E Ney
- Department of Neurology, University of Colorado School of Medicine, Aurora, Colorado
| | - Denise Damek
- Department of Neurology, University of Colorado School of Medicine, Aurora, Colorado
| | - Chad G Rusthoven
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado
| | - A Samy Youssef
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado
| | - Kevin O Lillehei
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado
| | - D Ryan Ormond
- Department of Neurosurgery, University of Colorado School of Medicine, Aurora, Colorado
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