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Savage WM, Yeary MD, Tang AJ, Sperring CP, Argenziano MG, Adapa AR, Yoh N, Canoll P, Bruce JN. Biomarkers of immunotherapy in glioblastoma. Neurooncol Pract 2024; 11:383-394. [PMID: 39006524 PMCID: PMC11241363 DOI: 10.1093/nop/npae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024] Open
Abstract
Glioblastoma (GBM) is the most common primary brain cancer, comprising half of all malignant brain tumors. Patients with GBM have a poor prognosis, with a median survival of 14-15 months. Current therapies for GBM, including chemotherapy, radiotherapy, and surgical resection, remain inadequate. Novel therapies are required to extend patient survival. Although immunotherapy has shown promise in other cancers, including melanoma and non-small lung cancer, its efficacy in GBM has been limited to subsets of patients. Identifying biomarkers of immunotherapy response in GBM could help stratify patients, identify new therapeutic targets, and develop more effective treatments. This article reviews existing and emerging biomarkers of clinical response to immunotherapy in GBM. The scope of this review includes immune checkpoint inhibitor and antitumoral vaccination approaches, summarizing the variety of molecular, cellular, and computational methodologies that have been explored in the setting of anti-GBM immunotherapies.
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Affiliation(s)
- William M Savage
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Mitchell D Yeary
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Anthony J Tang
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Colin P Sperring
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Michael G Argenziano
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Arjun R Adapa
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Nina Yoh
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Jeffrey N Bruce
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
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Fleischmann DF, Gajdi L, Corradini S, Schönecker S, Marschner S, Bodensohn R, Hofmaier J, Garny S, Forbrig R, Thon N, Belka C, Niyazi M. Re-irradiation treatment regimens for patients with recurrent glioma - Evaluation of the optimal dose and best concurrent therapy. Radiother Oncol 2024:110437. [PMID: 39013502 DOI: 10.1016/j.radonc.2024.110437] [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: 03/24/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/18/2024]
Abstract
PURPOSE Re-irradiation (reRT) is an effective treatment modality for patients with recurrent glioma. Data on dose escalation, the use of simulated integrated boost and concomitant therapy to reRT are still scarce. In this monocentric cohort of n = 223 patients we investigated the influence of reRT dose escalation as well as the concomitant use of bevacizumab (BEV) with regard to post-recurrence survival (PRS) and risk of radionecrosis (RN). PATIENTS AND METHODS Patients with recurrent glioma treated between July 2008 and August 2022 with reRT with BEV, reRT with temozolomide (TMZ) and reRT without concomitant systemic therapy were retrospectively analyzed. PRS and RN-free survival (RNFS) were calculated for all patients using the Kaplan-Meier estimator. Univariable and multivariable cox regression was performed for PRS and for RNFS. The reRT Risk Score (RRRS) was calculated for all patients. RESULTS Good, intermediate and poor risk of the RRRS translated into 11 months, 9 months and 7 months of median PRS (univariable: p = 0.008, multivariable: p = 0.013). ReRT was applied with a dose of ≤36 Gy (n = 140) or >36 Gy (n = 83). Concomitant bevacizumab (BEV) therapy was performed in n = 122 and concomitant temozolomide (TMZ) therapy in n = 32 patients. Median PRS was 10 months in patients treated with >36 Gy and 8 months in patients treated with ≤36 Gy (univariable: p = 0.032, multivariable: p = 0.576). Regarding concomitant TMZ therapy, median PRS was 14 months vs. 9 months for patients treated with or without TMZ (univariable: p = 0.041, multivariable: p = 0.019). No statistically significant influence on PRS was seen for concomitant BEV therapy in this series. RN was less frequent for reRT with concomitant BEV, (17/122; 13.9 %) than for reRT without BEV (30/101; 29.7 %). Regarding RNFS, the hazard ratio for reRT with BEV was 0.436 (univariable; p = 0.006) and 0.479 (multivariable; p = 0.023), respectively. ReRT dose did not show statistical significance in regards to RN (univariable: p = 0.073, multivariable: p = 0.404). RNFS was longer for patients receiving concomitant BEV to reRT than for patients treated with reRT only (mean 31.7 vs. 30.9 months, p = 0.004). CONCLUSION In this cohort, in patients treated with concomitant BEV therapy RN was less frequently detected and in patients treated with concomitant TMZ longer PRS was observed. Based on these results, the best concomitant therapy and the optimal dose should be decided on a patient-by-patient basis.
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Affiliation(s)
- Daniel F Fleischmann
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Partner Site, Munich, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Laura Gajdi
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Corradini
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Stephan Schönecker
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sebastian Marschner
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Raphael Bodensohn
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany; Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Jan Hofmaier
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sylvia Garny
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Robert Forbrig
- Institute of Neuroradiology, University Hospital, LMU Munich, Germany
| | - Niklas Thon
- Department of Neurosurgery, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Partner Site, Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Maximilian Niyazi
- Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany; Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), Partner Site, Tübingen, Germany
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Streibel Y, Breckwoldt MO, Hunger J, Pan C, Fischer M, Turco V, Boztepe B, Fels-Palesandro H, Scheck JG, Sturm V, Karimian-Jazi K, Agardy DA, Annio G, Mustapha R, Soni SS, Alasa A, Weidenfeld I, Rodell CB, Wick W, Heiland S, Winkler F, Platten M, Bendszus M, Sinkus R, Schregel K. Tumor biomechanics as a novel imaging biomarker to assess response to immunotherapy in a murine glioma model. Sci Rep 2024; 14:15613. [PMID: 38971907 PMCID: PMC11227492 DOI: 10.1038/s41598-024-66519-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/02/2024] [Indexed: 07/08/2024] Open
Abstract
Glioblastoma is the most common and aggressive primary malignant brain tumor with poor prognosis. Novel immunotherapeutic approaches are currently under investigation. Even though magnetic resonance imaging (MRI) is the most important imaging tool for treatment monitoring, response assessment is often hampered by therapy-related tissue changes. As tumor and therapy-associated tissue reactions differ structurally, we hypothesize that biomechanics could be a pertinent imaging proxy for differentiation. Longitudinal MRI and magnetic resonance elastography (MRE) were performed to monitor response to immunotherapy with a toll-like receptor 7/8 agonist in orthotopic syngeneic experimental glioma. Imaging results were correlated to histology and light sheet microscopy data. Here, we identify MRE as a promising non-invasive imaging method for immunotherapy-monitoring by quantifying changes in response-related tumor mechanics. Specifically, we show that a relative softening of treated compared to untreated tumors is linked to the inflammatory processes following therapy-induced re-education of tumor-associated myeloid cells. Mechanistically, combined effects of myeloid influx and inflammation including extracellular matrix degradation following immunotherapy form the basis of treated tumors being softer than untreated glioma. This is a very early indicator of therapy response outperforming established imaging metrics such as tumor volume. The overall anti-tumor inflammatory processes likely have similar effects on human brain tissue biomechanics, making MRE a promising tool for gauging response to immunotherapy in glioma patients early, thereby strongly impacting patient pathway.
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Affiliation(s)
- Yannik Streibel
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Michael O Breckwoldt
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jessica Hunger
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Chenchen Pan
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Manuel Fischer
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Verena Turco
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, Heidelberg University Hospital, National Center for Tumor Diseases, Heidelberg, Germany
| | - Berin Boztepe
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Hannah Fels-Palesandro
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Jonas G Scheck
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Volker Sturm
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Kianush Karimian-Jazi
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dennis A Agardy
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Mannheim, Germany
| | - Giacomo Annio
- INSERM UMRS1148-Laboratory for Vascular Translational Science, University Paris, Paris, France
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Rami Mustapha
- Richard Dimbleby Laboratory of Cancer Research, School of Cancer & Pharmaceutical Sciences, King's College London, London, UK
| | - Shreya S Soni
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, USA
| | - Abdulrahman Alasa
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, USA
| | - Ina Weidenfeld
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Christopher B Rodell
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, USA
| | - Wolfgang Wick
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Sabine Heiland
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Frank Winkler
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Platten
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Mannheim, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Ralph Sinkus
- INSERM UMRS1148-Laboratory for Vascular Translational Science, University Paris, Paris, France
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Katharina Schregel
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Sanvito F, Castellano A, Cloughesy TF, Wen PY, Ellingson BM. RANO 2.0 criteria: concepts applicable to the neuroradiologist's clinical practice. Curr Opin Oncol 2024:00001622-990000000-00192. [PMID: 39011735 DOI: 10.1097/cco.0000000000001077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
PURPOSE OF REVIEW The Response Assessment in Neuro-Oncology (RANO) 2.0 criteria aim at improving the standardization and reliability of treatment response assessment in clinical trials studying central nervous system (CNS) gliomas. This review presents the evidence supporting RANO 2.0 updates and discusses which concepts can be applicable to the clinical practice, particularly in the clinical radiographic reads. RECENT FINDINGS Updates in RANO 2.0 were supported by recent retrospective analyses of multicenter data from recent clinical trials. As proposed in RANO 2.0, in tumors receiving radiation therapy, the post-RT MRI scan should be used as a reference baseline for the following scans, as opposed to the pre-RT scan, and radiographic findings suggesting progression within three months after radiation therapy completion should be verified with confirmatory scans. Volumetric assessments should be considered, when available, especially for low-grade gliomas, and the evaluation of nonenhancing disease should have a marginal role in glioblastoma. However, the radiographic reads in the clinical setting also benefit from aspects that lie outside RANO 2.0 criteria, such as qualitative evaluations, patient-specific clinical considerations, and advanced imaging. SUMMARY While RANO 2.0 criteria are meant for the standardization of the response assessment in clinical trials, some concepts have the potential to improve patients' management in the clinical practice.
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Affiliation(s)
- Francesco Sanvito
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California, USA
| | - Antonella Castellano
- Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele Vita-Salute San Raffaele University, Milan, Italy
| | - Timothy F Cloughesy
- UCLA Brain Tumor Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Patrick Y Wen
- Center For Neuro-Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California, USA
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Goulenko V, Madhugiri VS, Bregy A, Recker M, Lipinski L, Fabiano A, Fenstermaker R, Plunkett R, Abad A, Belal A, Alberico R, Qiu J, Prasad D. Histopathological correlation of brain tumor recurrence vs. radiation effect post-radiosurgery as detected by MRI contrast clearance analysis: a validation study. J Neurooncol 2024; 168:547-553. [PMID: 38748050 DOI: 10.1007/s11060-024-04697-0] [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: 04/02/2024] [Accepted: 04/23/2024] [Indexed: 06/20/2024]
Abstract
PURPOSE The differentiation between adverse radiation effects (ARE) and tumor recurrence or progression (TRP) is a major decision-making point in the follow-up of patients with brain tumors. The advent of immunotherapy, targeted therapy and radiosurgery has made this distinction difficult to achieve in several clinical situations. Contrast clearance analysis (CCA) is a useful technique that can inform clinical decisions but has so far only been histologically validated in the context of high-grade gliomas. METHODS This is a series of 7 patients, treated between 2018 and 2023, for various brain pathologies including brain metastasis, atypical meningioma, and high-grade glioma. MRI with contrast clearance analysis was used to inform clinical decisions and patients underwent surgical resection as indicated. The histopathology findings were compared with the CCA findings in all cases. RESULTS All seven patients had been treated with gamma knife radiosurgery and were followed up with periodic MR imaging. All patients underwent CCA when the necessity to distinguish tumor recurrence from radiation necrosis arose, and subsequently underwent surgery as indicated. Concordance of CCA findings with histological findings was found in all cases (100%). CONCLUSIONS Based on prior studies on GBM and the surgical findings in our series, delayed contrast extravasation MRI findings correlate well with histopathology across a wide spectrum of brain tumor pathologies. CCA can provide a quick diagnosis and have a direct impact on patients' treatment and outcomes.
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Affiliation(s)
- Victor Goulenko
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | | | - Amade Bregy
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
| | - Matthew Recker
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
| | - Lindsay Lipinski
- Department of Neurosurgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Andrew Fabiano
- Department of Neurosurgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Robert Fenstermaker
- Department of Neurosurgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Robert Plunkett
- Department of Neurosurgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA
| | - Ajay Abad
- Department of Neuro-oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Ahmed Belal
- Department of Diagnostic Imaging, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Ronald Alberico
- Department of Diagnostic Imaging, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jingxin Qiu
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Dheerendra Prasad
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
- Department of Neurosurgery, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
- Department of Neurosurgery, University at Buffalo, Buffalo, NY, USA.
- Department of Neuro-oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
- Roswell Park Comprehensive Cancer Center, Elm and Carlton Streets, 14203, Buffalo, NY, USA.
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Śledzińska-Bebyn P, Furtak J, Bebyn M, Serafin Z. Beyond conventional imaging: Advancements in MRI for glioma malignancy prediction and molecular profiling. Magn Reson Imaging 2024; 112:63-81. [PMID: 38914147 DOI: 10.1016/j.mri.2024.06.004] [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: 04/04/2024] [Revised: 05/20/2024] [Accepted: 06/20/2024] [Indexed: 06/26/2024]
Abstract
This review examines the advancements in magnetic resonance imaging (MRI) techniques and their pivotal role in diagnosing and managing gliomas, the most prevalent primary brain tumors. The paper underscores the importance of integrating modern MRI modalities, such as diffusion-weighted imaging and perfusion MRI, which are essential for assessing glioma malignancy and predicting tumor behavior. Special attention is given to the 2021 WHO Classification of Tumors of the Central Nervous System, emphasizing the integration of molecular diagnostics in glioma classification, significantly impacting treatment decisions. The review also explores radiogenomics, which correlates imaging features with molecular markers to tailor personalized treatment strategies. Despite technological progress, MRI protocol standardization and result interpretation challenges persist, affecting diagnostic consistency across different settings. Furthermore, the review addresses MRI's capacity to distinguish between tumor recurrence and pseudoprogression, which is vital for patient management. The necessity for greater standardization and collaborative research to harness MRI's full potential in glioma diagnosis and personalized therapy is highlighted, advocating for an enhanced understanding of glioma biology and more effective treatment approaches.
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Affiliation(s)
- Paulina Śledzińska-Bebyn
- Department of Radiology, 10th Military Research Hospital and Polyclinic, 85-681 Bydgoszcz, Poland.
| | - Jacek Furtak
- Department of Clinical Medicine, Faculty of Medicine, University of Science and Technology, Bydgoszcz, Poland; Department of Neurosurgery, 10th Military Research Hospital and Polyclinic, 85-681 Bydgoszcz, Poland
| | - Marek Bebyn
- Department of Internal Diseases, 10th Military Clinical Hospital and Polyclinic, 85-681 Bydgoszcz, Poland
| | - Zbigniew Serafin
- Department of Radiology and Diagnostic Imaging, Nicolaus Copernicus University, Collegium Medicum, Bydgoszcz, Poland
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Fu P, Shen J, Song K, Xu M, Zhou Z, Xu H. Prognostic Factors for Recurrent Glioma: A Population-Based Analysis. Clin Med Insights Oncol 2024; 18:11795549241252652. [PMID: 38883848 PMCID: PMC11177728 DOI: 10.1177/11795549241252652] [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: 09/04/2023] [Accepted: 03/03/2024] [Indexed: 06/18/2024] Open
Abstract
Background The overall survival (OS) for patients with recurrent glioma is meager. Also, the effect of radionecrosis and prognostic factors for recurrent glioma remains controversial. In this regard, developing effective predictive models and guiding clinical care is crucial for these patients. Methods We screened patients with recurrent glioma after radiotherapy and those who received surgery between August 1, 2013, and December 31, 2020. Univariate and multivariate Cox regression analyses determined the independent prognostic factors affecting the prognosis of recurrent glioma. Moreover, nomograms were constructed to predict recurrent glioma risk and prognosis. Statistical methods were used to determine the prediction accuracy and discriminability of the nomogram prediction model based on the area under the curve (AUC), the C-index, the decision curve analysis (DCA), and the calibration curve. In order to distinguish high-risk and low-risk groups for OS, the X-Tile and Kaplan-Meier (K-M) survival curves were employed, and the nomogram prediction model was further validated by the X-Tile and K-M survival curves. Results According to a Cox regression analysis, independent prognostic factors of recurrent glioma after radiotherapy with radionecrosis were World Health Organization (WHO) grade and gliosis percentage. We utilized a nomogram prediction model to analyze results visually. The C-index was 0.682 (95% CI: 0.616-0.748). According to receiver operating characteristic (ROC) analysis, calibration plots, and DCA, the nomogram prediction model was found to have a high-performance ability, and all patients were divided into low-risk and high-risk groups based on OS (P < .001). Conclusion WHO grade and gliosis percentage are prognostic factors for recurrent glioma with radionecrosis, and a nomogram prediction model was established based on these two variables. Patients could be divided into high- and low-risk groups with different OS by this model, and it will provide individualized clinical decisions for future treatment.
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Affiliation(s)
- Pengfei Fu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Medical Center of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jingjing Shen
- Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Kun Song
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Medical Center of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ming Xu
- Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhirui Zhou
- Radiation Oncology Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hongzhi Xu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Neurosurgical Institute of Fudan University, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Medical Center of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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Chekhonin IV, Cohen O, Otazo R, Young RJ, Holodny AI, Pronin IN. Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review. Neuroradiol J 2024; 37:267-275. [PMID: 37133228 PMCID: PMC11138331 DOI: 10.1177/19714009231173100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
Magnetic resonance (MR) relaxometry is a quantitative imaging method that measures tissue relaxation properties. This review discusses the state of the art of clinical proton MR relaxometry for glial brain tumors. Current MR relaxometry technology also includes MR fingerprinting and synthetic MRI, which solve the inefficiencies and challenges of earlier techniques. Despite mixed results regarding its capability for brain tumor differential diagnosis, there is growing evidence that MR relaxometry can differentiate between gliomas and metastases and between glioma grades. Studies of the peritumoral zones have demonstrated their heterogeneity and possible directions of tumor infiltration. In addition, relaxometry offers T2* mapping that can define areas of tissue hypoxia not discriminated by perfusion assessment. Studies of tumor therapy response have demonstrated an association between survival and progression terms and dynamics of native and contrast-enhanced tumor relaxometric profiles. In conclusion, MR relaxometry is a promising technique for glial tumor diagnosis, particularly in association with neuropathological studies and other imaging techniques.
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Affiliation(s)
- Ivan V Chekhonin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
- Federal State Budgetary Institution V.P. Serbsky National Medical Research Centre for Psychiatry and Narcology of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Ouri Cohen
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ricardo Otazo
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA
- Department of Neuroscience, Weill Cornell Graduate School of the Medical Sciences, New York, NY, USA
| | - Igor N Pronin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
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9
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Haley MJ, Bere L, Minshull J, Georgaka S, Garcia-Martin N, Howell G, Coope DJ, Roncaroli F, King A, Wedge DC, Allan SM, Pathmanaban ON, Brough D, Couper KN. Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival. SCIENCE ADVANCES 2024; 10:eadj3301. [PMID: 38758780 PMCID: PMC11100569 DOI: 10.1126/sciadv.adj3301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 04/15/2024] [Indexed: 05/19/2024]
Abstract
Myeloid cells are highly prevalent in glioblastoma (GBM), existing in a spectrum of phenotypic and activation states. We now have limited knowledge of the tumor microenvironment (TME) determinants that influence the localization and the functions of the diverse myeloid cell populations in GBM. Here, we have utilized orthogonal imaging mass cytometry with single-cell and spatial transcriptomic approaches to identify and map the various myeloid populations in the human GBM tumor microenvironment (TME). Our results show that different myeloid populations have distinct and reproducible compartmentalization patterns in the GBM TME that is driven by tissue hypoxia, regional chemokine signaling, and varied homotypic and heterotypic cellular interactions. We subsequently identified specific tumor subregions in GBM, based on composition of identified myeloid cell populations, that were linked to patient survival. Our results provide insight into the spatial organization of myeloid cell subpopulations in GBM, and how this is predictive of clinical outcome.
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Affiliation(s)
- Michael J. Haley
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
| | - Leoma Bere
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
| | - James Minshull
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
| | - Sokratia Georgaka
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK
| | | | - Gareth Howell
- Flow Cytometry Core Research Facility, University of Manchester, Manchester, UK
| | - David J. Coope
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
| | - Federico Roncaroli
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
| | - Andrew King
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
| | - David C. Wedge
- Manchester Cancer Research Centre, University of Manchester, Manchester, UK
| | - Stuart M. Allan
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
| | - Omar N. Pathmanaban
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Manchester, UK
| | - David Brough
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
- Division of Neuroscience, University of Manchester, Manchester, UK
| | - Kevin N. Couper
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK
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10
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Flies CM, Friedrich M, Lohmann P, van Garderen KA, Smits M, Tonn JC, Weller M, Galldiks N, Snijders TJ. Treatment-associated imaging changes in newly diagnosed MGMT promoter-methylated glioblastoma undergoing chemoradiation with or without cilengitide. Neuro Oncol 2024; 26:902-910. [PMID: 38219019 PMCID: PMC11066942 DOI: 10.1093/neuonc/noad247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND Radiological progression may originate from progressive disease (PD) or pseudoprogression/treatment-associated changes. We assessed radiological progression in O6-methylguanine-DNA methyltransferase (MGMT) promoter-methylated glioblastoma treated with standard-of-care chemoradiotherapy with or without the integrin inhibitor cilengitide according to the modified response assessment in neuro-oncology (RANO) criteria of 2017. METHODS Patients with ≥ 3 follow-up MRIs were included. Preliminary PD was defined as a ≥ 25% increase of the sum of products of perpendicular diameters (SPD) of a new or increasing lesion compared to baseline. PD required a second ≥25% increase of the SPD. Treatment-associated changes require stable or regressing disease after preliminary PD. RESULTS Of the 424 evaluable patients, 221 patients (52%) were randomized into the cilengitide and 203 patients (48%) into the control arm. After chemoradiation with or without cilengitide, preliminary PD occurred in 274 patients (65%) during available follow-up, and 88 of these patients (32%) had treatment-associated changes, whereas 67 patients (25%) had PD. The remaining 119 patients (43%) had no further follow-up after preliminary PD. Treatment-associated changes were more common in the cilengitide arm than in the standard-of-care arm (24% vs. 17%; relative risk, 1.3; 95% CI, 1.004-1.795; P = .047). Treatment-associated changes occurred mainly during the first 6 months after RT (54% after 3 months vs. 13% after 6 months). CONCLUSIONS With the modified RANO criteria, the rate of treatment-associated changes was low compared to previous studies in MGMT promoter-methylated glioblastoma. This rate was higher after cilengitide compared to standard-of-care treatment. Confirmatory scans, as recommended in the modified RANO criteria, were not always available reflecting current clinical practice.
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Affiliation(s)
- Christina Maria Flies
- Department of Neurology & Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Michel Friedrich
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
| | - Karin Alida van Garderen
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Brain Tumour Centre, Erasmus MC Cancer Centre, Rotterdam, The Netherlands
- Medical Delta, Delft, The Netherlands
| | - Marion Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Brain Tumour Centre, Erasmus MC Cancer Centre, Rotterdam, The Netherlands
- Medical Delta, Delft, The Netherlands
| | | | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3, INM-4), Research Center Juelich, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Cologne, Germany
| | - Tom Jan Snijders
- Department of Neurology & Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
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11
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Wu M, Jiang T, Guo M, Duan Y, Zhuo Z, Weng J, Xie C, Sun J, Li J, Cheng D, Liu X, Du J, Zhang X, Zhang Y, Liu Y. Amide proton transfer-weighted imaging and derived radiomics in the classification of adult-type diffuse gliomas. Eur Radiol 2024; 34:2986-2996. [PMID: 37855851 DOI: 10.1007/s00330-023-10343-6] [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: 05/23/2023] [Revised: 08/27/2023] [Accepted: 09/05/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVES To evaluate the utility of amide proton transfer-weighted (APTw) MRI imaging and its derived radiomics in classifying adult-type diffuse glioma. MATERIALS AND METHODS In this prospective study, APTw imaging was performed on 129 patients with adult-type diffuse gliomas. The mean APTw-related metrics (chemical exchange saturation transfer ratio (CESTR), CESTR normalized with the reference value (CESTRnr), and relaxation-compensated inverse magnetization transfer ratio (MTRRex)) and radiomic features within 3D tumor masks were extracted. APTw-radiomics models were developed using a support vector machine (SVM) classifier. Sensitivity analysis with tumor area of interest, different histogram cutoff values, and other classifiers were conducted. RESULTS CESTR, CESTRnr, and MTRRex in glioblastomas were all significantly higher (p < 0.0003) than those of oligodendrogliomas and astrocytomas, with no significant difference between oligodendrogliomas and astrocytomas. The APTw-related metrics for IDH-wildtype and high-grade gliomas were significantly higher (p < 0.001) than those for the IDH-mutant and low-grade gliomas, with area under the curve (AUCs) of 0.88 for CESTR. The CESTR-radiomics models demonstrated accuracies of 84% (AUC 0.87), 83% (AUC 0.83), 90% (AUC 0.95), and 84% (AUC 0.86) in predicting the IDH mutation status, differentiating glioblastomas from astrocytomas, distinguishing glioblastomas from oligodendrogliomas, and determining high/low grade prediction, respectively, but showed poor performance in distinguishing oligodendrogliomas from astrocytomas (accuracy 63%, AUC 0.63). The sensitivity analysis affirmed the robustness of the APTw signal and APTw-derived radiomics prediction models. CONCLUSION APTw imaging, along with its derived radiomics, presents a promising quantitative approach for prediction IDH mutation and grading adult-type diffuse glioma. CLINICAL RELEVANCE STATEMENT Amide proton transfer-weighted imaging, a quantitative imaging biomarker, coupled with its derived radiomics, offers a promising non-invasive approach for predicting IDH mutation status and grading adult-type diffuse gliomas, thereby informing individualized clinical diagnostics and treatment strategies. KEY POINTS • This study evaluates the differences of different amide proton transfer-weighted metrics across three molecular subtypes and their efficacy in classifying adult-type diffuse glioma. • Chemical exchange saturation transfer ratio normalized with the reference value and relaxation-compensated inverse magnetization transfer ratio effectively predicts IDH mutation/grading, notably the first one. • Amide proton transfer-weighted imaging and its derived radiomics holds potential to be used as a diagnostic tool in routine clinical characterizing adult-type diffuse glioma.
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Affiliation(s)
- Minghao Wu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Tongling Jiang
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Min Guo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinyuan Weng
- Department of Medical Imaging Product, Neusoft, Group Ltd, Shenyang, 110179, China
| | - Cong Xie
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jun Sun
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Junjie Li
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dan Cheng
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xing Liu
- Department of Neuropathology, Beijing Neurosurgical Institute, Beijing, 10070, China
| | - Jiang Du
- Department of Neuropathology, Beijing Neurosurgical Institute, Beijing, 10070, China
| | | | - Yi Zhang
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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12
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Wu EL, Patel A, McGunigal MC, Johng SY, Mortazavi A, Jay AK, Ahn PH, Anaizi AN, DeKlotz TR. Characterization of cerebral radiation necrosis following the treatment of sinonasal malignancies. Laryngoscope Investig Otolaryngol 2024; 9:e1200. [PMID: 38525116 PMCID: PMC10960240 DOI: 10.1002/lio2.1200] [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: 09/25/2023] [Revised: 11/05/2023] [Accepted: 12/03/2023] [Indexed: 03/26/2024] Open
Abstract
Objectives Our study aims to determine the incidence and potential risk factors for cerebral radiation necrosis (CRN) following treatment of sinonasal malignancies. Methods One hundred thirty-two patients diagnosed with sinonasal malignancies over an 18-year period were identified at two institutions. Forty-six patients meeting inclusion criteria and treated with radiation therapy were included for analysis. Demographic and clinical-pathologic characteristics were collected and reviewed. Post-treatment magnetic resonance imaging (MRI) at least 1 year following treatment was reviewed to determine presence or absence of CRN. Results CRN was identified on MRI in 8 of 46 patients (17.4%) following radiation treatment. Patients with a history of reirradiation were more likely to develop CRN (50% vs. 10.5%, p < .05). The BEDs of radiation were also higher in CRN patients compared to non-CRN patients, but this difference was not significant (p > .05). CRN patients had a higher proportion of tumors with skull base involvement than non-CRN patients (100% vs. 57.9%, p = .037). Demographics, comorbidities, pathology, primary tumor subsite, chemotherapy use, and stage of disease demonstrated no significant increase in risk of CRN. Conclusions Reirradiation and tumor skull base involvement were significant risk factors associated with CRN. Higher average total prescribed and BEDs of radiation were seen in the CRN groups, but these differences were not statistically significant. Gender, comorbidities, tumor subsite, tumor location, and treatment type were not significantly different between groups. Level of evidence Level 3.
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Affiliation(s)
- Eric L. Wu
- Department of Otolaryngology – Head and Neck SurgeryMedStar Georgetown University HospitalWashingtonDCUSA
| | - Atur Patel
- Department of Otolaryngology – Head and Neck SurgeryMedStar Georgetown University HospitalWashingtonDCUSA
| | - Mary C. McGunigal
- Veteran Affairs New York Harbor Healthcare SystemState University of New York – Downstate Medical CenterNew YorkNew YorkUSA
| | | | | | - Ann K. Jay
- Department of RadiologyMedStar Georgetown University HospitalWashingtonDCUSA
| | - Peter H. Ahn
- Department of Radiation OncologyMedStar Georgetown University HospitalWashingtonDCUSA
| | - Amjad N. Anaizi
- Department of NeurosurgeryMedStar Georgetown University HospitalWashingtonDCUSA
| | - Timothy R. DeKlotz
- Department of Otolaryngology – Head and Neck SurgeryMedStar Georgetown University HospitalWashingtonDCUSA
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13
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Grauhan NF, Grünebach N, Brockstedt L, Sanner A, Feiweier T, Schöffling V, Brockmann MA, Othman AE. Reduction of Distortion Artifacts in Brain MRI Using a Field Map-based Correction Technique in Diffusion-weighted Imaging : A Prospective Study. Clin Neuroradiol 2024; 34:85-91. [PMID: 37640838 PMCID: PMC10881677 DOI: 10.1007/s00062-023-01338-3] [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: 03/28/2023] [Accepted: 07/17/2023] [Indexed: 08/31/2023]
Abstract
PURPOSE The aim of this study was to evaluate the image quality and feasibility of a field map-based technique to correct for susceptibility-induced geometric distortions which are typical for diffusion EPI brain imaging. METHODS We prospectively included 52 patients during clinical routine in this single-center study. All scans were performed on a 3T MRI. Patients' indications for MRI mainly consisted of suspected stroke due to the clinical presentation. For the morphological comparison of the corrected and uncorrected EPI diffusion, three experienced radiologists assessed the image quality of the sequences in a blinded and randomized fashion using a Likert scale (1 being poor; 5 being excellent). To ensure comparability of the two methods, an additional quantitative analysis of the apparent diffusion coefficient (ADC) was performed. RESULTS Corrected EPI diffusion was rated significantly superior in all the selected categories: overall level of artifacts (p < 0.001), degree of distortion at the frontal, temporal, occipital and brainstem levels (p < 0.001), conspicuousness of ischemic lesions (p < 0.001), image quality (p < 0.001), naturality (p < 0.001), contrast (p < 0.001), and diagnostic confidence (p < 0.001). CONCLUSION Corrected EPI diffusion offers a significant reduction of geometric distortion in all evaluated brain regions and an improved conspicuousness of ischemic lesions. Image quality, overall artifacts, naturality, contrast and diagnostic confidence were also rated superior in comparison to uncorrected EPI diffusion.
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Affiliation(s)
- Nils F Grauhan
- Department of Neuroradiology, University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany.
| | - Natascha Grünebach
- Department of Neuroradiology, University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
| | - Lavinia Brockstedt
- Department of Neuroradiology, University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
| | - Antoine Sanner
- Department of Neuroradiology, University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
- Technical University of Darmstadt, Darmstadt, Germany
| | | | - Vanessa Schöffling
- Department of Neuroradiology, University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
| | - Marc A Brockmann
- Department of Neuroradiology, University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
| | - Ahmed E Othman
- Department of Neuroradiology, University Medical Center Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
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14
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Müller SJ, Khadhraoui E, Ganslandt O, Henkes H, Gihr GA. MRI Treatment Response Assessment Maps (TRAMs) for differentiating recurrent glioblastoma from radiation necrosis. J Neurooncol 2024; 166:513-521. [PMID: 38261142 DOI: 10.1007/s11060-024-04573-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 01/11/2024] [Indexed: 01/24/2024]
Abstract
BACKGROUND MRI treatment response assessment maps (TRAMs) were introduced to distinguish recurrent malignant glioma from therapy related changes. TRAMs are calculated with two contrast-enhanced T1-weighted sequences and reflect the "late" wash-out (or contrast clearance) and wash-in of gadolinium. Vital tumor cells are assumed to produce a wash-out because of their high turnover rate and the associated hypervascularization, whereas contrast medium slowly accumulates in scar tissue. To examine the real value of this method, we compared TRAMs with the pathology findings obtained after a second biopsy or surgery when recurrence was suspected. METHODS We retrospectively evaluated TRAMs in adult patients with histologically demonstrated glioblastoma, contrast-enhancing tissue and a pre-operative MRI between January 1, 2017, and December 31, 2022. Only patients with a second biopsy or surgery were evaluated. Volumes of the residual tumor, contrast clearance and contrast accumulation before the second surgery were analyzed. RESULTS Among 339 patients with mGBM who underwent MRI, we identified 29 repeated surgeries/biopsies in 27 patients 59 ± 12 (mean ± standard deviation) years of age. Twenty-eight biopsies were from patients with recurrent glioblastoma histology, and only one was from a patient with radiation necrosis. We volumetrically evaluated the 29 pre-surgery TRAMs. In recurrent glioblastoma, the ratio of wash-out volume to tumor volume was 36 ± 17% (range 1-73%), and the ratio of the wash-out volume to the sum of wash-out and wash-in volumes was 48 ± 21% (range 22-92%). For the one biopsy with radiation necrosis, the ratios were 42% and 54%, respectively. CONCLUSIONS Typical recurrent glioblastoma shows a > 20%ratio of the wash-out volume to the sum of wash-out and wash-in volumes. The one biopsy with radiation necrosis indicated that such necrosis can also produce high wash-out in individual cases. Nevertheless, the additional information provided by TRAMs increases the reliability of diagnosis.
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Affiliation(s)
| | - Eya Khadhraoui
- Klinik Für Neuroradiologie, Klinikum-Stuttgart, Kriegsbergstr. 60, 70174, Stuttgart, Germany
| | - Oliver Ganslandt
- Abteilung Für Neurochirurgie, Klinikum-Stuttgart, Stuttgart, Germany
| | - Hans Henkes
- Klinik Für Neuroradiologie, Klinikum-Stuttgart, Kriegsbergstr. 60, 70174, Stuttgart, Germany
| | - Georg Alexander Gihr
- Klinik Für Neuroradiologie, Klinikum-Stuttgart, Kriegsbergstr. 60, 70174, Stuttgart, Germany
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15
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Autry AW, Vaziri S, Gordon JW, Chen HY, Kim Y, Dang D, LaFontaine M, Noeske R, Bok R, Villanueva-Meyer JE, Clarke JL, Oberheim Bush NA, Chang SM, Xu D, Lupo JM, Larson PEZ, Vigneron DB, Li Y. Advanced Hyperpolarized 13C Metabolic Imaging Protocol for Patients with Gliomas: A Comprehensive Multimodal MRI Approach. Cancers (Basel) 2024; 16:354. [PMID: 38254844 PMCID: PMC10814348 DOI: 10.3390/cancers16020354] [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: 09/27/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
This study aimed to implement a multimodal 1H/HP-13C imaging protocol to augment the serial monitoring of patients with glioma, while simultaneously pursuing methods for improving the robustness of HP-13C metabolic data. A total of 100 1H/HP [1-13C]-pyruvate MR examinations (104 HP-13C datasets) were acquired from 42 patients according to the comprehensive multimodal glioma imaging protocol. Serial data coverage, accuracy of frequency reference, and acquisition delay were evaluated using a mixed-effects model to account for multiple exams per patient. Serial atlas-based HP-13C MRI demonstrated consistency in volumetric coverage measured by inter-exam dice coefficients (0.977 ± 0.008, mean ± SD; four patients/11 exams). The atlas-derived prescription provided significantly improved data quality compared to manually prescribed acquisitions (n = 26/78; p = 0.04). The water-based method for referencing [1-13C]-pyruvate center frequency significantly reduced off-resonance excitation relative to the coil-embedded [13C]-urea phantom (4.1 ± 3.7 Hz vs. 9.9 ± 10.7 Hz; p = 0.0007). Significantly improved capture of tracer inflow was achieved with the 2-s versus 5-s HP-13C MRI acquisition delay (p = 0.007). This study demonstrated the implementation of a comprehensive multimodal 1H/HP-13C MR protocol emphasizing the monitoring of steady-state/dynamic metabolism in patients with glioma.
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Affiliation(s)
- Adam W. Autry
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Sana Vaziri
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jeremy W. Gordon
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Hsin-Yu Chen
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Yaewon Kim
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Duy Dang
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Marisa LaFontaine
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | | | - Robert Bok
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Javier E. Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Jennifer L. Clarke
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA 94143, USA
| | - Susan M. Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Janine M. Lupo
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Peder E. Z. Larson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Daniel B. Vigneron
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
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16
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Gallegos CA, Lu Y, Clements JC, Song PN, Lynch SE, Mascioni A, Jia F, Hartman YE, Massicano AVF, Houson HA, Lapi SE, Warram JM, Markert JM, Sorace AG. [ 89Zr]-CD8 ImmunoPET imaging of glioblastoma multiforme response to combination oncolytic viral and checkpoint inhibitor immunotherapy reveals CD8 infiltration differential changes in preclinical models. Theranostics 2024; 14:911-923. [PMID: 38250045 PMCID: PMC10797292 DOI: 10.7150/thno.89206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/06/2023] [Indexed: 01/23/2024] Open
Abstract
Rationale: Novel immune-activating therapeutics for the treatment of glioblastoma multiforme (GBM) have shown potential for tumor regression and increased survival over standard therapies. However, immunotherapy efficacy remains inconsistent with response assessment being complicated by early treatment-induced apparent radiological tumor progression and slow downstream effects. This inability to determine early immunotherapeutic benefit results in a drastically decreased window for alternative, and potentially more effective, treatment options. The objective of this study is to evaluate the effects of combination immunotherapy on early CD8+ cell infiltration and its association with long term response in orthotopic syngeneic glioblastoma models. Methods: Luciferase positive GBM orthotopic mouse models (GSC005-luc) were imaged via [89Zr]-CD8 positron emission tomography (PET) one week following treatment with saline, anti-PD1, M002 oncolytic herpes simplex virus (oHSV) or combination immunotherapy. Subsequently, brains were excised, imaged via [89Zr]-CD8 ImmunoPET and evaluated though autoradiography and histology for H&E and CD8 immunohistochemistry. Longitudinal immunotherapeutic effects were evaluated through [89Zr]-CD8 PET imaging one- and three-weeks following treatment, with changes in tumor volume monitored on a three-day basis via bioluminescence imaging (BLI). Response classification was then performed based on long-term BLI signal changes. Statistical analysis was performed between groups using one-way ANOVA and two-sided unpaired T-test, with p < 0.05 considered significant. Correlations between imaging and biological validation were assessed via Pearson's correlation test. Results: [89Zr]-CD8 PET standardized uptake value (SUV) quantification was correlated with ex vivo SUV quantification (r = 0.61, p < 0.01), autoradiography (r = 0.46, p < 0.01), and IHC tumor CD8+ cell density (r = 0.55, p < 0.01). Classification of therapeutic responders, via bioluminescence signal, revealed a more homogeneous CD8+ immune cell distribution in responders (p < 0.05) one-week following immunotherapy. Conclusions: Assessment of early CD8+ cell infiltration and distribution in the tumor microenvironment provides potential imaging metrics for the characterization of oHSV and checkpoint blockade immunotherapy response in GBM. The combination therapies showed enhanced efficacy compared to single agent immunotherapies. Further development of immune-focused imaging methods can provide clinically relevant metrics associated with immune cell localization that can inform immunotherapeutic efficacy and subsequent treatment response in GBM patients.
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Affiliation(s)
- Carlos A. Gallegos
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yun Lu
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
- Graduate Biomedical Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jennifer C. Clements
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Patrick N. Song
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
- Graduate Biomedical Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Shannon E. Lynch
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
- Graduate Biomedical Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Fang Jia
- Imaginab, Inc, Inglewood, CA, USA
| | - Yolanda E. Hartman
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Hailey A. Houson
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Suzanne E. Lapi
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Chemistry, University of Alabama at Birmingham, Birmingham, AL, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jason M. Warram
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Otolaryngology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - James M. Markert
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Anna G. Sorace
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
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17
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Nakhate V, Gonzalez Castro LN. Artificial intelligence in neuro-oncology. Front Neurosci 2023; 17:1217629. [PMID: 38161802 PMCID: PMC10755952 DOI: 10.3389/fnins.2023.1217629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 11/14/2023] [Indexed: 01/03/2024] Open
Abstract
Artificial intelligence (AI) describes the application of computer algorithms to the solution of problems that have traditionally required human intelligence. Although formal work in AI has been slowly advancing for almost 70 years, developments in the last decade, and particularly in the last year, have led to an explosion of AI applications in multiple fields. Neuro-oncology has not escaped this trend. Given the expected integration of AI-based methods to neuro-oncology practice over the coming years, we set to provide an overview of existing technologies as they are applied to the neuropathology and neuroradiology of brain tumors. We highlight current benefits and limitations of these technologies and offer recommendations on how to appraise novel AI-tools as they undergo consideration for integration into clinical workflows.
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Affiliation(s)
- Vihang Nakhate
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - L. Nicolas Gonzalez Castro
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- The Center for Neuro-Oncology, Dana–Farber Cancer Institute, Boston, MA, United States
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18
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Kossmann MRP, Ehret F, Roohani S, Winter SF, Ghadjar P, Acker G, Senger C, Schmid S, Zips D, Kaul D. Histopathologically confirmed radiation-induced damage of the brain - an in-depth analysis of radiation parameters and spatio-temporal occurrence. Radiat Oncol 2023; 18:198. [PMID: 38087368 PMCID: PMC10717523 DOI: 10.1186/s13014-023-02385-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Radiation-induced damage (RID) after radiotherapy (RT) of primary brain tumors and metastases can be challenging to clinico-radiographically distinguish from tumor progression. RID includes pseudoprogression and radiation necrosis; the latter being irreversible and often associated with severe symptoms. While histopathology constitutes the diagnostic gold standard, biopsy-controlled clinical studies investigating RID remain limited. Whether certain brain areas are potentially more vulnerable to RID remains an area of active investigation. Here, we analyze histopathologically confirmed cases of RID in relation to the temporal and spatial dose distribution. METHODS Histopathologically confirmed cases of RID after photon-based RT for primary or secondary central nervous system malignancies were included. Demographic, clinical, and dosimetric data were collected from patient records and treatment planning systems. We calculated the equivalent dose in 2 Gy fractions (EQD22) and the biologically effective dose (BED2) for normal brain tissue (α/β ratio of 2 Gy) and analyzed the spatial and temporal distribution using frequency maps. RESULTS Thirty-three patients were identified. High-grade glioma patients (n = 18) mostly received one normofractionated RT series (median cumulative EQD22 60 Gy) to a large planning target volume (PTV) (median 203.9 ccm) before diagnosis of RID. Despite the low EQD22 and BED2, three patients with an accelerated hyperfractionated RT developed RID. In contrast, brain metastases patients (n = 15; 16 RID lesions) were often treated with two or more RT courses and with radiosurgery or fractionated stereotactic RT, resulting in a higher cumulative EQD22 (median 162.4 Gy), to a small PTV (median 6.7 ccm). All (n = 34) RID lesions occurred within the PTV of at least one of the preceding RT courses. RID in the high-grade glioma group showed a frontotemporal distribution pattern, whereas, in metastatic patients, RID was observed throughout the brain with highest density in the parietal lobe. The cumulative EQD22 was significantly lower in RID lesions that involved the subventricular zone (SVZ) than in lesions without SVZ involvement (median 60 Gy vs. 141 Gy, p = 0.01). CONCLUSIONS Accelerated hyperfractionated RT can lead to RID despite computationally low EQD22 and BED2 in high-grade glioma patients. The anatomical location of RID corresponded to the general tumor distribution of gliomas and metastases. The SVZ might be a particularly vulnerable area.
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Affiliation(s)
- Mario R P Kossmann
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
- Department of Radiotherapy and Radiation Oncology, Pius-Hospital Oldenburg, Georgstr. 12, 26121, Oldenburg, Germany
| | - Felix Ehret
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Siyer Roohani
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Sebastian F Winter
- Division of Neuro-Oncology, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Pirus Ghadjar
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Güliz Acker
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurosurgery, Charitéplatz 1, 10117, Berlin, Germany
| | - Carolin Senger
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Simone Schmid
- Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neuropathology, Charitéplatz 1, 10117, Berlin, Germany
| | - Daniel Zips
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David Kaul
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Radiation Oncology, Augustenburger Platz 1, 13353, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, Berlin, Germany; German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
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19
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Wang W, Tugaoen JD, Fadda P, Toland AE, Ma Q, Elder JB, Giglio P, Otero JJ. Glioblastoma pseudoprogression and true progression reveal spatially variable transcriptional differences. Acta Neuropathol Commun 2023; 11:192. [PMID: 38049893 PMCID: PMC10694987 DOI: 10.1186/s40478-023-01587-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/20/2023] [Indexed: 12/06/2023] Open
Abstract
Post-resection radiologic monitoring to identify areas of new or progressive enhancement concerning for cancer recurrence is critical during patients with glioblastoma follow-up. However, treatment-related pseudoprogression presents with similar imaging features but requires different clinical management. While pathologic diagnosis is the gold standard to differentiate true progression and pseudoprogression, the lack of objective clinical standards and admixed histologic presentation creates the needs to (1) validate the accuracy of current approaches and (2) characterize differences between these entities to objectively differentiate true disease. We demonstrated using an online RNAseq repository of recurrent glioblastoma samples that cancer-immune cell activity levels correlate with heterogenous clinical outcomes in patients. Furthermore, nCounter RNA expression analysis of 48 clinical samples taken from second neurosurgical resection supports that pseudoprogression gene expression pathways are dominated with immune activation, whereas progression is predominated with cell cycle activity. Automated image processing and spatial expression analysis however highlight a failure to apply these broad expressional differences in a subset of cases with clinically challenging admixed histology. Encouragingly, applying unsupervised clustering approaches over our segmented histologic images provides novel understanding of morphologically derived differences between progression and pseudoprogression. Spatially derived data further highlighted polarization of myeloid populations that may underscore the tumorgenicity of novel lesions. These findings not only help provide further clarity of potential targets for pathologists to better assist stratification of progression and pseudoprogression, but also highlight the evolution of tumor-immune microenvironment changes which promote tumor recurrence.
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Affiliation(s)
- Wesley Wang
- Department of Pathology, The Ohio State University Wexner Medical Center, The Ohio State University College of Medicine, 4166 Graves Hall, 333 W 10th Avenue, Columbus, OH, 43210, USA
| | - Jonah Domingo Tugaoen
- Department of Pathology, The Ohio State University Wexner Medical Center, The Ohio State University College of Medicine, 4166 Graves Hall, 333 W 10th Avenue, Columbus, OH, 43210, USA
| | - Paolo Fadda
- Genomics Shared Resource-Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Amanda Ewart Toland
- Genomics Shared Resource-Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Qin Ma
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - J Brad Elder
- Department of Neurosurgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Pierre Giglio
- Department of Neuro-Oncology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - José Javier Otero
- Department of Pathology, The Ohio State University Wexner Medical Center, The Ohio State University College of Medicine, 4166 Graves Hall, 333 W 10th Avenue, Columbus, OH, 43210, USA.
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20
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Malik JR, Podany AT, Khan P, Shaffer CL, Siddiqui JA, Baranowska‐Kortylewicz J, Le J, Fletcher CV, Ether SA, Avedissian SN. Chemotherapy in pediatric brain tumor and the challenge of the blood-brain barrier. Cancer Med 2023; 12:21075-21096. [PMID: 37997517 PMCID: PMC10726873 DOI: 10.1002/cam4.6647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/18/2023] [Accepted: 10/12/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Pediatric brain tumors (PBT) stand as the leading cause of cancer-related deaths in children. Chemoradiation protocols have improved survival rates, even for non-resectable tumors. Nonetheless, radiation therapy carries the risk of numerous adverse effects that can have long-lasting, detrimental effects on the quality of life for survivors. The pursuit of chemotherapeutics that could obviate the need for radiotherapy remains ongoing. Several anti-tumor agents, including sunitinib, valproic acid, carboplatin, and panobinostat, have shown effectiveness in various malignancies but have not proven effective in treating PBT. The presence of the blood-brain barrier (BBB) plays a pivotal role in maintaining suboptimal concentrations of anti-cancer drugs in the central nervous system (CNS). Ongoing research aims to modulate the integrity of the BBB to attain clinically effective drug concentrations in the CNS. However, current findings on the interaction of exogenous chemical agents with the BBB remain limited and do not provide a comprehensive explanation for the ineffectiveness of established anti-cancer drugs in PBT. METHODS We conducted our search for chemotherapeutic agents associated with the blood-brain barrier (BBB) using the following keywords: Chemotherapy in Cancer, Chemotherapy in Brain Cancer, Chemotherapy in PBT, BBB Inhibition of Drugs into CNS, Suboptimal Concentration of CNS Drugs, PBT Drugs and BBB, and Potential PBT Drugs. We reviewed each relevant article before compiling the information in our manuscript. For the generation of figures, we utilized BioRender software. FOCUS We focused our article search on chemical agents for PBT and subsequently investigated the role of the BBB in this context. Our search criteria included clinical trials, both randomized and non-randomized studies, preclinical research, review articles, and research papers. FINDING Our research suggests that, despite the availability of potent chemotherapeutic agents for several types of cancer, the effectiveness of these chemical agents in treating PBT has not been comprehensively explored. Additionally, there is a scarcity of studies examining the role of the BBB in the suboptimal outcomes of PBT treatment, despite the effectiveness of these drugs for other types of tumors.
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Affiliation(s)
- Johid Reza Malik
- Antiviral Pharmacology LaboratoryCollege of Pharmacy, University of Nebraska Medical CenterOmahaNebraskaUSA
| | - Anthony T. Podany
- Antiviral Pharmacology LaboratoryCollege of Pharmacy, University of Nebraska Medical CenterOmahaNebraskaUSA
- Pediatric Clinical Pharmacology ProgramChild Health Research Institute, University of Nebraska Medical CenterOmahaNebraskaUSA
| | - Parvez Khan
- Department of Biochemistry and Molecular BiologyUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Christopher L. Shaffer
- Pediatric Clinical Pharmacology ProgramChild Health Research Institute, University of Nebraska Medical CenterOmahaNebraskaUSA
| | - Jawed A. Siddiqui
- Department of Biochemistry and Molecular BiologyUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | | | - Jennifer Le
- University of California San Diego Skaggs School of Pharmacy and Pharmaceutical SciencesSan DiegoCaliforniaUSA
| | - Courtney V. Fletcher
- Antiviral Pharmacology LaboratoryCollege of Pharmacy, University of Nebraska Medical CenterOmahaNebraskaUSA
| | - Sadia Afruz Ether
- Antiviral Pharmacology LaboratoryCollege of Pharmacy, University of Nebraska Medical CenterOmahaNebraskaUSA
| | - Sean N. Avedissian
- Antiviral Pharmacology LaboratoryCollege of Pharmacy, University of Nebraska Medical CenterOmahaNebraskaUSA
- Pediatric Clinical Pharmacology ProgramChild Health Research Institute, University of Nebraska Medical CenterOmahaNebraskaUSA
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21
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Das A, Tabori U, Sambira Nahum LC, Collins NB, Deyell R, Dvir R, Faure-Conter C, Hassall TE, Minturn JE, Edwards M, Brookes E, Bianchi V, Levine A, Stone SC, Sudhaman S, Sanchez Ramirez S, Ercan AB, Stengs L, Chung J, Negm L, Getz G, Maruvka YE, Ertl-Wagner B, Ohashi PS, Pugh T, Hawkins C, Bouffet E, Morgenstern DA. Efficacy of Nivolumab in Pediatric Cancers with High Mutation Burden and Mismatch Repair Deficiency. Clin Cancer Res 2023; 29:4770-4783. [PMID: 37126021 PMCID: PMC10690097 DOI: 10.1158/1078-0432.ccr-23-0411] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/23/2023] [Accepted: 04/27/2023] [Indexed: 05/02/2023]
Abstract
PURPOSE Checkpoint inhibitors have limited efficacy for children with unselected solid and brain tumors. We report the first prospective pediatric trial (NCT02992964) using nivolumab exclusively for refractory nonhematologic cancers harboring tumor mutation burden (TMB) ≥5 mutations/megabase (mut/Mb) and/or mismatch repair deficiency (MMRD). PATIENTS AND METHODS Twenty patients were screened, and 10 were ultimately included in the response cohort of whom nine had TMB >10 mut/Mb (three initially eligible based on MMRD) and one patient had TMB between 5 and 10 mut/Mb. RESULTS Delayed immune responses contributed to best overall response of 50%, improving on initial objective responses (20%) and leading to 2-year overall survival (OS) of 50% [95% confidence interval (CI), 27-93]. Four children, including three with refractory malignant gliomas are in complete remission at a median follow-up of 37 months (range, 32.4-60), culminating in 2-year OS of 43% (95% CI, 18.2-100). Biomarker analyses confirmed benefit in children with germline MMRD, microsatellite instability, higher activated and lower regulatory circulating T cells. Stochastic mutation accumulation driven by underlying germline MMRD impacted the tumor microenvironment, contributing to delayed responses. No benefit was observed in the single patient with an MMR-proficient tumor and TMB 7.4 mut/Mb. CONCLUSIONS Nivolumab resulted in durable responses and prolonged survival for the first time in a pediatric trial of refractory hypermutated cancers including malignant gliomas. Novel biomarkers identified here need to be translated rapidly to clinical care to identify children who can benefit from checkpoint inhibitors, including upfront management of cancer. See related commentary by Mardis, p. 4701.
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Affiliation(s)
- Anirban Das
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Uri Tabori
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Lauren C. Sambira Nahum
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Natalie B. Collins
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, Massachusetts
| | | | - Rina Dvir
- Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | | | | | - Jane E. Minturn
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Melissa Edwards
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Elissa Brookes
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Vanessa Bianchi
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Adrian Levine
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Simone C. Stone
- Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario
| | - Sumedha Sudhaman
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Santiago Sanchez Ramirez
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Ayse B. Ercan
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Lucie Stengs
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Jill Chung
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Logine Negm
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Gad Getz
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | | | - Birgit Ertl-Wagner
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Pamela S. Ohashi
- Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario
| | - Trevor Pugh
- Princess Margaret Cancer Centre and University of Toronto, Toronto, Ontario
| | - Cynthia Hawkins
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Eric Bouffet
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
| | - Daniel A. Morgenstern
- Hospital for Sick Children and Department of Paediatrics, University of Toronto, Toronto, Ontario
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22
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Rydelius A, Bengzon J, Engelholm S, Kinhult S, Englund E, Nilsson M, Lätt J, Lampinen B, Sundgren PC. Predictive value of diffusion MRI-based parametric response mapping for prognosis and treatment response in glioblastoma. Magn Reson Imaging 2023; 104:88-96. [PMID: 37734574 DOI: 10.1016/j.mri.2023.09.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Early detection of treatment response is important for the management of patients with malignant brain tumors such as glioblastoma to assure good quality of life in relation to therapeutic efficacy. AIM To investigate whether parametric response mapping (PRM) with diffusion MRI may provide prognostic information at an early stage of standard therapy for glioblastoma. MATERIALS AND METHODS This prospective study included 31 patients newly diagnosed with glioblastoma WHO grade IV, planned for primary standard postoperative treatment with radiotherapy 60Gy/30 fractions with concomitant and adjuvant Temozolomide. MRI follow-up including diffusion and perfusion weighting was performed at 3 T at start of postoperative chemoradiotherapy, three weeks into treatment, and then regularly until twelve months postoperatively. Regional mean diffusivity (MD) changes were analyzed voxel-wise using the PRM method (MD-PRM). At eight and twelve months postoperatively, after completion of standard treatment, patients were classified using conventional MRI and clinical evaluation as either having stable disease (SD, including partial response) or progressive disease (PD). It was assessed whether MD-PRM differed between patients having SD versus PD and whether it predicted the risk of disease progression (progression-free survival, PFS) or death (overall survival, OS). A subgroup analysis was performed that compared MD-PRM between SD and PD in patients only undergoing diagnostic biopsy. MGMT-promotor methylation status (O6-methylguanine-DNA methyltransferase) was registered and analyzed with respect to PFS, OS and MD-PRM. RESULTS Of the 31 patients analyzed: 21 were operated by resection and ten by diagnostic biopsy. At eight months, 19 patients had SD and twelve had PD. At twelve months, ten patients had SD and 20 had PD, out of which ten were deceased within twelve months and one was deceased without known tumor progression. Median PFS was nine months, and median OS was 17 months. Eleven patients had methylated MGMT-promotor, 16 were MGMT unmethylated, and four had unknown MGMT-status. MD-PRM did not significantly predict patients having SD versus PD neither at eight nor at twelve months. Patients with an above median MD-PRM reduction had a slightly longer PFS (P = 0.015) in Kaplan-Maier analysis, as well as a non-significantly longer OS (P = 0.099). In the subgroup of patients only undergoing biopsy, total MD-PRM change at three weeks was generally higher for patients with SD than for patients with PD at eight months, although no tests were performed. MGMT status strongly predicted both PFS and OS but not MD-PRM change. CONCLUSION MD-PRM at three weeks was not demonstrated to be predictive of treatment response, disease progression, or survival. Preliminary results suggested a higher predictive value in non-resected patients, although this needs to be evaluated in future studies.
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Affiliation(s)
- A Rydelius
- Department of Clinical Sciences Lund, Division of Neurology, Lund University, Skane University Hospital, Lund, Sweden; Department of Clinical Sciences Lund, Division of Diagnostic Radiology, Lund University, Skane University Hospital, Lund, Sweden.
| | - J Bengzon
- Department of Clinical Sciences Lund, Division of Neurosurgery, Lund University, Skane University Hospital, Lund, Sweden
| | - S Engelholm
- Department of Clinical Sciences Lund, Division of Oncology, Lund University, Skane University Hospital, Lund, Sweden
| | - S Kinhult
- Department of Clinical Sciences Lund, Division of Oncology, Lund University, Skane University Hospital, Lund, Sweden
| | - E Englund
- Department of Clinical Sciences Lund, Division of Pathology, Lund University, Clinical Genetics, Pathology and Molecular Diagnostics, Medical Service, Lund, Skane University Hospital, Lund, Sweden
| | - M Nilsson
- Department of Clinical Sciences Lund, Division of Diagnostic Radiology, Lund University, Skane University Hospital, Lund, Sweden
| | - J Lätt
- Department for Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - B Lampinen
- Department of Clinical Sciences Lund, Division of Diagnostic Radiology, Lund University, Skane University Hospital, Lund, Sweden
| | - P C Sundgren
- Department of Clinical Sciences Lund, Division of Diagnostic Radiology, Lund University, Skane University Hospital, Lund, Sweden; Department for Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden; Lund University, BioImaging Centre (LBIC), Lund University, Lund, Sweden; Department of Radiology, University of Michigan, Ann Arbor, MI, USA
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23
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van Dijken BRJ, Doff AR, Enting RH, van Laar PJ, Jeltema HR, Dierckx RAJO, van der Hoorn A. Influence of MRI Follow-Up on Treatment Decisions during Standard Concomitant and Adjuvant Chemotherapy in Patients with Glioblastoma: Is Less More? Cancers (Basel) 2023; 15:4973. [PMID: 37894340 PMCID: PMC10605145 DOI: 10.3390/cancers15204973] [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: 09/15/2023] [Revised: 10/03/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
MRI is the gold standard for treatment response assessments for glioblastoma. However, there is no consensus regarding the optimal interval for MRI follow-up during standard treatment. Moreover, a reliable assessment of treatment response is hindered by the occurrence of pseudoprogression. It is unknown if a radiological follow-up strategy at 2-3 month intervals actually benefits patients and how it influences clinical decision making about the continuation or discontinuation of treatment. This study assessed the consequences of scheduled follow-up scans post-chemoradiotherapy (post-CCRT), after three cycles of adjuvant chemotherapy [TMZ3/6], and after the completion of treatment [TMZ6/6]), and of unscheduled scans on treatment decisions during standard concomitant and adjuvant treatment in glioblastoma patients. Additionally, we evaluated how often follow-up scans resulted in diagnostic uncertainty (tumor progression versus pseudoprogression), and whether perfusion MRI improved clinical decision making. Scheduled follow-up scans during standard treatment in glioblastoma patients rarely resulted in an early termination of treatment (2.3% post-CCRT, 3.2% TMZ3/6, and 7.8% TMZ6/6), but introduced diagnostic uncertainty in 27.7% of cases. Unscheduled scans resulted in more major treatment consequences (30%; p < 0.001). Perfusion MRI caused less diagnostic uncertainty (p = 0.021) but did not influence treatment consequences (p = 0.871). This study does not support the current pragmatic follow-up strategy and suggests a more tailored follow-up approach.
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Affiliation(s)
- Bart R. J. van Dijken
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Annerieke R. Doff
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Roelien H. Enting
- Department of Neurology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Peter Jan van Laar
- Department of Radiology, Hospital Group Twente, 7600 SZ Almelo, The Netherlands
| | - Hanne-Rinck Jeltema
- Department of Neurosurgery, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Rudi A. J. O. Dierckx
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
- Department of Nuclear Medicine, Medical Imaging Center, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Anouk van der Hoorn
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
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Pouessel D, Ken S, Gouaze-Andersson V, Piram L, Mervoyer A, Larrieu-Ciron D, Cabarrou B, Lusque A, Robert M, Frenel JS, Uro-Coste E, Olivier P, Mounier M, Sabatini U, Sanchez EH, Zouitine M, Berjaoui A, Cohen-Jonathan Moyal E. Hypofractionated Stereotactic Re-irradiation and
Anti-PDL1 Durvalumab Combination in Recurrent Glioblastoma: STERIMGLI Phase I Results. Oncologist 2023; 28:825-e817. [PMID: 37196069 PMCID: PMC10485381 DOI: 10.1093/oncolo/oyad095] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/13/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Hypofractionated stereotactic radiotherapy (hFSRT) is a salvage option for recurrent glioblastoma (GB) which may synergize anti-PDL1 treatment. This phase I study evaluated the safety and the recommended phase II dose of anti-PDL1 durvalumab combined with hFSRT in patients with recurrent GB. METHODS Patients were treated with 24 Gy, 8 Gy per fraction on days 1, 3, and 5 combined with the first 1500 mg Durvalumab dose on day 5, followed by infusions q4weeks until progression or for a maximum of 12 months. A standard 3 + 3 Durvalumab dose de-escalation design was used. Longitudinal lymphocytes count, cytokines analyses on plasma samples, and magnetic resonance imaging (MRI) were collected. RESULTS Six patients were included. One dose limiting toxicity, an immune-related grade 3 vestibular neuritis related to Durvalumab, was reported. Median progression-free interval (PFI) and overall survival (OS) were 2.3 and 16.7 months, respectively. Multi-modal deep
learning-based analysis including MRI, cytokines, and lymphocytes/neutrophil ratio isolated the patients presenting pseudoprogression, the longest PFI and those with the longest OS, but statistical significance cannot be established considering phase I data only. CONCLUSION Combination of hFSRT and Durvalumab in recurrent GB was well tolerated in this phase I study. These encouraging results led to an ongoing randomized phase II. (ClinicalTrials.gov Identifier: NCT02866747).
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Affiliation(s)
- Damien Pouessel
- Department of Medical Oncology, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Re-gaud, Toulouse, France
| | - Soléakhéna Ken
- Department of Engineering and Medical Physics, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
- INSERM UMR1037, Centre de Recherche en Cancérologie de Toulouse (CRCT), Team Radiation Optimization “RADOPT”, Toulouse, France
| | - Valérie Gouaze-Andersson
- INSERM UMR1037, Centre de Recherche en Cancérologie de Toulouse (CRCT), Team Radiation Optimization “RADOPT”, Toulouse, France
- Department of Radiation Oncology, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
| | - Lucie Piram
- INSERM UMR1037, Centre de Recherche en Cancérologie de Toulouse (CRCT), Team Radiation Optimization “RADOPT”, Toulouse, France
- Department of Radiation Oncology, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
| | - Augustin Mervoyer
- Department of Radiation Oncology, Institut de Cancérologie de l’Ouest, Nantes, France
| | - Delphine Larrieu-Ciron
- Department of Medical Oncology, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Re-gaud, Toulouse, France
| | - Bastien Cabarrou
- Department of Biostatistics, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
| | - Amélie Lusque
- Department of Biostatistics, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
| | - Marie Robert
- Department of Medical Oncology, Institut de Cancérologie de l’Ouest, Nantes, France
| | | | - Emmanuelle Uro-Coste
- INSERM UMR1037, Centre de Recherche en Cancérologie de Toulouse (CRCT), Team Radiation Optimization “RADOPT”, Toulouse, France
- Department of Anatomopathology, CHU Toulouse, Institut Universitaire du Cancer Toulouse Oncopole, Toulouse, France
| | - Pascale Olivier
- Department of Medical and Clinical Pharmacology, Center of Pharmacovigilance and Pharmacoepidemiology, Toulouse University Hospital, Toulouse, France
| | - Muriel Mounier
- Clinical Research Unit, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
| | - Umberto Sabatini
- Institute of Neuroradiology, University Magna Graecia, Catanzaro, Italy
| | | | - Mehdi Zouitine
- Institut de Recherche Technologique Saint Exupéry, Toulouse, France
| | - Ahmad Berjaoui
- INSERM UMR1037, Centre de Recherche en Cancérologie de Toulouse (CRCT), Team Radiation Optimization “RADOPT”, Toulouse, France
- Institut de Recherche Technologique Saint Exupéry, Toulouse, France
| | - Elizabeth Cohen-Jonathan Moyal
- INSERM UMR1037, Centre de Recherche en Cancérologie de Toulouse (CRCT), Team Radiation Optimization “RADOPT”, Toulouse, France
- Department of Radiation Oncology, Institut Universitaire du Cancer Toulouse Oncopole, Institut Claudius Regaud, Toulouse, France
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Zeyen T, Paech D, Weller J, Schäfer N, Tzaridis T, Duffy C, Nitsch L, Schneider M, Potthoff AL, Steinbach JP, Hau P, Schlegel U, Seidel C, Krex D, Grauer O, Goldbrunner R, Zeiner PS, Tabatabai G, Galldiks N, Stummer W, Hattingen E, Glas M, Radbruch A, Herrlinger U, Schaub C. Undetected pseudoprogressions in the CeTeG/NOA-09 trial: hints from postprogression survival and MRI analyses. J Neurooncol 2023; 164:607-616. [PMID: 37728779 PMCID: PMC10589172 DOI: 10.1007/s11060-023-04444-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 09/02/2023] [Indexed: 09/21/2023]
Abstract
PURPOSE In the randomized CeTeG/NOA-09 trial, lomustine/temozolomide (CCNU/TMZ) was superior to TMZ therapy regarding overall survival (OS) in MGMT promotor-methylated glioblastoma. Progression-free survival (PFS) and pseudoprogression rates (about 10%) were similar in both arms. Further evaluating this discrepancy, we analyzed patterns of postprogression survival (PPS) and MRI features at first progression according to modified RANO criteria (mRANO). METHODS We classified the patients of the CeTeG/NOA-09 trial according to long vs. short PPS employing a cut-off of 18 months and compared baseline characteristics and survival times. In patients with available MRIs and confirmed progression, the increase in T1-enhancing, FLAIR hyperintense lesion volume and the change in ADC mean value of contrast-enhancing tumor upon progression were determined. RESULTS Patients with long PPS in the CCNU/TMZ arm had a particularly short PFS (5.6 months). PFS in this subgroup was shorter than in the long PPS subgroup of the TMZ arm (11.1 months, p = 0.01). At mRANO-defined progression, patients of the CCNU/TMZ long PPS subgroup had a significantly higher increase of mean ADC values (p = 0.015) and a tendency to a stronger volumetric increase in T1-enhancement (p = 0.22) as compared to long PPS patients of the TMZ arm. CONCLUSION The combination of survival and MRI analyses identified a subgroup of CCNU/TMZ-treated patients with features that sets them apart from other patients in the trial: short first PFS despite long PPS and significant increase in mean ADC values upon mRANO-defined progression. The observed pattern is compatible with the features commonly observed in pseudoprogression suggesting mRANO-undetected pseudoprogressions in the CCNU/TMZ arm of CeTeG/NOA-09.
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Affiliation(s)
- Thomas Zeyen
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Daniel Paech
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany
| | - Johannes Weller
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Niklas Schäfer
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Theophilos Tzaridis
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Cathrina Duffy
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Louisa Nitsch
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | | | | | | | - Peter Hau
- Department of Neurology and Wilhelm Sander NeuroOncology Unit, University Hospital Regensburg, Regensburg, Germany
| | - Uwe Schlegel
- Department of Neurology, Klinik Hirslanden, Zürich, Switzerland
| | - Clemens Seidel
- Department of Radiation Oncology, University of Leipzig, Leipzig, Germany
| | - Dietmar Krex
- Department of Neurosurgery, Technische Universität Dresden, Faculty of Medicine and University Hospital Carl Gustav Carus, Fetscherstrasse 74, 01307, Dresden, Germany
| | - Oliver Grauer
- Department of Neurology, University of Münster, Münster, Germany
| | - Roland Goldbrunner
- Center of Neurosurgery Department of General, Neurosurgery University of Cologne, Cologne, Germany
| | - Pia Susan Zeiner
- Dr. Senckenberg Institute of Neurooncology, University of Frankfurt, Frankfurt, Germany
| | - Ghazaleh Tabatabai
- Department of Neurology and Interdisciplinary Neuro-Oncology, Institute for Clinical Brain Research, University Hospital Tübingen, Eberhard Karls University Tübingen, HertieTübingen, Germany
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany and Research Center Juelich, Inst. of Neuroscience and Medicine (INM-3), Juelich, Germany
| | - Walter Stummer
- Department of Neurosurgery, University of Münster, Münster, Germany
| | - Elke Hattingen
- Department of Neuroradiology, University Hospital Frankfurt, 60590, Frankfurt Am Main, Germany
| | - Martin Glas
- Division of Clinical Neurooncology, Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Consortium (DKTK), Partner Site University Medicine Essen, Hufelandstr. 55, 45147, Essen, Germany
| | | | - Ulrich Herrlinger
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Christina Schaub
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Bonn, Germany.
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Veikutis V, Brazdziunas M, Keleras E, Basevicius A, Grib A, Skaudickas D, Lukosevicius S. Diagnostic Approaches to Adult-Type Diffuse Glial Tumors: Comparative Literature and Clinical Practice Study. Curr Oncol 2023; 30:7818-7835. [PMID: 37754483 PMCID: PMC10528153 DOI: 10.3390/curroncol30090568] [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: 04/25/2023] [Revised: 07/27/2023] [Accepted: 08/08/2023] [Indexed: 09/28/2023] Open
Abstract
Gliomas are the most frequent intrinsic central nervous system tumors. The new 2021 WHO Classification of Central Nervous System Tumors brought significant changes into the classification of gliomas, that underline the role of molecular diagnostics, with the adult-type diffuse glial tumors now identified primarily by their biomarkers rather than histology. The status of the isocitrate dehydrogenase (IDH) 1 or 2 describes tumors at their molecular level and together with the presence or absence of 1p/19q codeletion are the most important biomarkers used for the classification of adult-type diffuse glial tumors. In recent years terminology has also changed. IDH-mutant, as previously known, is diagnostically used as astrocytoma and IDH-wildtype is used as glioblastoma. A comprehensive understanding of these tumors not only gives patients a more proper treatment and better prognosis but also highlights new difficulties. MR imaging is of the utmost importance for diagnosing and supervising the response to treatment. By monitoring the tumor on followup exams better results can be achieved. Correlations are seen between tumor diagnostic and clinical manifestation and surgical administration, followup care, oncologic treatment, and outcomes. Minimal resection site use of functional imaging (fMRI) and diffusion tensor imaging (DTI) have become indispensable tools in invasive treatment. Perfusion imaging provides insightful information about the vascularity of the tumor, spectroscopy shows metabolic activity, and nuclear medicine imaging displays tumor metabolism. To accommodate better treatment the differentiation of pseudoprogression, pseudoresponse, or radiation necrosis is needed. In this report, we present a literature review of diagnostics of gliomas, the differences in their imaging features, and our radiology's departments accumulated experience concerning gliomas.
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Affiliation(s)
- Vincentas Veikutis
- Medical Academy, Lithuanian University of Health Sciences, LT50161 Kaunas, Lithuania; (M.B.); (E.K.); (A.B.); (D.S.); (S.L.)
| | - Mindaugas Brazdziunas
- Medical Academy, Lithuanian University of Health Sciences, LT50161 Kaunas, Lithuania; (M.B.); (E.K.); (A.B.); (D.S.); (S.L.)
- Faculty of Medicine, Kaunas University of Applied Sciences, LT44162 Kaunas, Lithuania
| | - Evaldas Keleras
- Medical Academy, Lithuanian University of Health Sciences, LT50161 Kaunas, Lithuania; (M.B.); (E.K.); (A.B.); (D.S.); (S.L.)
| | - Algidas Basevicius
- Medical Academy, Lithuanian University of Health Sciences, LT50161 Kaunas, Lithuania; (M.B.); (E.K.); (A.B.); (D.S.); (S.L.)
| | - Andrei Grib
- Department of Internal Medicine, Nicolae Testemitanu State University of Medicine and Pharmacy, MD2004 Chisinau, Moldova;
| | - Darijus Skaudickas
- Medical Academy, Lithuanian University of Health Sciences, LT50161 Kaunas, Lithuania; (M.B.); (E.K.); (A.B.); (D.S.); (S.L.)
| | - Saulius Lukosevicius
- Medical Academy, Lithuanian University of Health Sciences, LT50161 Kaunas, Lithuania; (M.B.); (E.K.); (A.B.); (D.S.); (S.L.)
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Czarnywojtek A, Borowska M, Dyrka K, Van Gool S, Sawicka-Gutaj N, Moskal J, Kościński J, Graczyk P, Hałas T, Lewandowska AM, Czepczyński R, Ruchała M. Glioblastoma Multiforme: The Latest Diagnostics and Treatment Techniques. Pharmacology 2023; 108:423-431. [PMID: 37459849 DOI: 10.1159/000531319] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 05/05/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Glioblastoma multiforme (GBM) is a WHO grade 4 glioma and the most common malignant primary brain tumour. Recently, there has been outstanding progress in the treatment of GBM. In addition to the newest form of GBM removal using fluorescence, three-dimensional (3D) imaging, tomoradiotherapy, moderate electro-hyperthermia, and adjuvant temozolomide (post-operative chemotherapy), new developments have been made in the fields of immunology, molecular biology, and virotherapy. An unusual and modern treatment has been created, especially for stage 4 GBM, using the latest therapeutic techniques, including immunotherapy and virotherapy. Modern oncological medicine is producing extraordinary and progressive therapeutic methods. Oncological therapy includes individual analysis of the properties of a tumour and targeted therapy using small-molecule inhibitors. Individualised medicine covers the entire patient (tumour and host) in the context of immunotherapy. An example is individualised multimodal immunotherapy (IMI), which relies on individual immunological tumour-host interactions. In addition, IMI is based on the concept of oncolytic virus-induced immunogenic tumour cell death. SUMMARY In this review, we outline current knowledge of the various available treatment options used in the therapy of GBM including both traditional therapeutic strategy and modern therapies, such as tomotherapy, electro-hyperthermia, and oncolytic virotherapy, which are promising treatment strategies with the potential to improve prognosis in patients with GBM. KEY MESSAGES This newest therapy, immunotherapy combined with virotherapy (oncolytic viruses and cancer vaccines), is displaying encouraging signs for combating GBM. Additionally, the latest 3D imaging is compared to conventional two-dimensional imaging.
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Affiliation(s)
- Agata Czarnywojtek
- Chair and Department of Pharmacology, Poznan University of Medical Sciences, Poznan, Poland
- Department of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Magdalena Borowska
- Chair and Department of Pharmacology, Poznan University of Medical Sciences, Poznan, Poland
| | - Kamil Dyrka
- Department of Pediatric Endocrinology and Rheumatology, Institute of Pediatrics, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Nadia Sawicka-Gutaj
- Department of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Jakub Moskal
- Department of Neurosurgery, Poznan University of Medical Sciences, Poznan, Poland
| | - Jeremi Kościński
- Department of Neurosurgery, Poznan University of Medical Sciences, Poznan, Poland
| | - Patryk Graczyk
- Chair and Department of Pharmacology, Poznan University of Medical Sciences, Poznan, Poland
| | - Tomasz Hałas
- Chair and Department of Pharmacology, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Rafał Czepczyński
- Department of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Marek Ruchała
- Department of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland
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Shaaban SG, LeCompte MC, Kleinberg LR, Redmond KJ, Page BR. Recognition and Management of the Long-term Effects of Cranial Radiation. Curr Treat Options Oncol 2023; 24:880-891. [PMID: 37145381 DOI: 10.1007/s11864-023-01078-z] [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] [Accepted: 03/08/2023] [Indexed: 05/06/2023]
Abstract
OPINION STATEMENT Cranial radiation is ubiquitous in the treatment of primary malignant and benign brain tumors as well as brain metastases. Improvement in radiotherapy targeting and delivery has led to prolongation of survival outcomes. As long-term survivorship improves, we also focus on prevention of permanent side effects of radiation and mitigating the impact when they do occur. Such chronic treatment-related morbidity is a major concern with significant negative impact on patient's and caregiver's respective quality of life. The actual mechanisms responsible for radiation-induced brain injury remain incompletely understood. Multiple interventions have been introduced to potentially prevent, minimize, or reverse the cognitive deterioration. Hippocampal-sparing intensity modulated radiotherapy and memantine represent effective interventions to avoid damage to regions of adult neurogenesis. Radiation necrosis frequently develops in the high radiation dose region encompassing the tumor and surrounding normal tissue. The radiographic findings in addition to the clinical course of the patients' symptoms are taken into consideration to differentiate between tissue necrosis and tumor recurrence. Radiation-induced neuroendocrine dysfunction becomes more pronounced when the hypothalamo-pituitary (HP) axis is included in the radiation treatment field. Baseline and post-treatment evaluation of hormonal profile is warranted. Radiation-induced injury of the cataract and optic system can develop when these structures receive an amount of radiation that exceeds their tolerance. Special attention should always be paid to avoid irradiation of these sensitive structures, if possible, or minimize their dose to the lowest limit.
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Affiliation(s)
- Sherif G Shaaban
- Department of Radiation Oncology & Molecular Radiation Sciences, Johns Hopkins Medicine, 401 North Broadway, Suite 1440, Baltimore, MD, 21287, USA
| | - Michael C LeCompte
- Department of Radiation Oncology & Molecular Radiation Sciences, Johns Hopkins Medicine, 401 North Broadway, Suite 1440, Baltimore, MD, 21287, USA
| | - Lawrence R Kleinberg
- Department of Radiation Oncology & Molecular Radiation Sciences, Johns Hopkins Medicine, 401 North Broadway, Suite 1440, Baltimore, MD, 21287, USA
| | - Kristin J Redmond
- Department of Radiation Oncology & Molecular Radiation Sciences, Johns Hopkins Medicine, 401 North Broadway, Suite 1440, Baltimore, MD, 21287, USA
| | - Brandi R Page
- Department of Radiation Oncology-National Capitol Region, Johns Hopkins Medicine, 6420 Rockledge Drive Suite 1200, Bethesda, MD, 20817, USA.
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Sampson JH, Singh Achrol A, Aghi MK, Bankiewicz K, Bexon M, Brem S, Brenner A, Chandhasin C, Chowdhary S, Coello M, Ellingson BM, Floyd JR, Han S, Kesari S, Mardor Y, Merchant F, Merchant N, Randazzo D, Vogelbaum M, Vrionis F, Wembacher-Schroeder E, Zabek M, Butowski N. Targeting the IL4 receptor with MDNA55 in patients with recurrent glioblastoma: Results of a phase IIb trial. Neuro Oncol 2023; 25:1085-1097. [PMID: 36640127 PMCID: PMC10237418 DOI: 10.1093/neuonc/noac285] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND MDNA55 is an interleukin 4 receptor (IL4R)-targeting toxin in development for recurrent GBM, a universally fatal disease. IL4R is overexpressed in GBM as well as cells of the tumor microenvironment. High expression of IL4R is associated with poor clinical outcomes. METHODS MDNA55-05 is an open-label, single-arm phase IIb study of MDNA55 in recurrent GBM (rGBM) patients with an aggressive form of GBM (de novo GBM, IDH wild-type, and nonresectable at recurrence) on their 1st or 2nd recurrence. MDNA55 was administered intratumorally as a single dose treatment (dose range of 18 to 240 ug) using convection-enhanced delivery (CED) with up to 4 stereo-tactically placed catheters. It was co-infused with a contrast agent (Gd-DTPA, Magnevist®) to assess distribution in and around the tumor margins. The flow rate of each catheter did not exceed 10μL/min to ensure that the infusion duration did not exceed 48 h. The primary endpoint was mOS, with secondary endpoints determining the effects of IL4R status on mOS and PFS. RESULTS MDNA55 showed an acceptable safety profile at doses up to 240 μg. In all evaluable patients (n = 44) mOS was 11.64 months (80% one-sided CI 8.62, 15.02) and OS-12 was 46%. A subgroup (n = 32) consisting of IL4R High and IL4R Low patients treated with high-dose MDNA55 (>180 ug) showed the best benefit with mOS of 15 months, OS-12 of 55%. Based on mRANO criteria, tumor control was observed in 81% (26/32), including those patients who exhibited pseudo-progression (15/26). CONCLUSIONS MDNA55 demonstrated tumor control and promising survival and may benefit rGBM patients when treated at high-dose irrespective of IL4R expression level.Trial Registration: Clinicaltrials.gov NCT02858895.
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Affiliation(s)
- John H Sampson
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina, USA
| | - Achal Singh Achrol
- Loma Linda University Medical Center, Department of Neurosurgery, Loma Linda, California, USA
| | - Manish K Aghi
- University of California San Francisco, Department of Neurological Surgery, San Francisco, California, USA
| | - Krystof Bankiewicz
- Ohio State University College of Medicine, Department of Neurological Surgery, Columbus, Ohio, USA
| | | | - Steven Brem
- Hospital of the University of Pennsylvania, Department of Neurosurgery, Philadelphia, Pennsylvania, USA
| | - Andrew Brenner
- University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| | | | | | | | - Benjamin M Ellingson
- University of California, Los Angeles, Brain Tumor Imaging Laboratory (BTIL), California, USA
| | - John R Floyd
- University of Texas Health Science Center San Antonio, San Antonio, Texas, USA
| | - Seunggu Han
- Oregon Health & Science University, Portland, Oregon, USA
| | - Santosh Kesari
- Pacific Neurosciences Institute, Santa Monica, California, USA
| | | | | | | | - Dina Randazzo
- Duke University Medical Center, Department of Neurosurgery, Durham, North Carolina, USA
| | - Michael Vogelbaum
- H. Lee Moffitt Cancer Center & Research Institute, Department of Neuro-Oncology, Tampa, Florida, USA
| | - Frank Vrionis
- Boca Raton Regional Hospital, Boca Raton, Florida, USA
| | | | | | - Nicholas Butowski
- University of California San Francisco, Department of Neurological Surgery, San Francisco, California, USA
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30
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de Godoy LL, Mohan S, Wang S, Nasrallah MP, Sakai Y, O'Rourke DM, Bagley S, Desai A, Loevner LA, Poptani H, Chawla S. Validation of multiparametric MRI based prediction model in identification of pseudoprogression in glioblastomas. J Transl Med 2023; 21:287. [PMID: 37118754 PMCID: PMC10142504 DOI: 10.1186/s12967-023-03941-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: 11/19/2022] [Accepted: 01/30/2023] [Indexed: 04/30/2023] Open
Abstract
BACKGROUND Accurate differentiation of pseudoprogression (PsP) from tumor progression (TP) in glioblastomas (GBMs) is essential for appropriate clinical management and prognostication of these patients. In the present study, we sought to validate the findings of our previously developed multiparametric MRI model in a new cohort of GBM patients treated with standard therapy in identifying PsP cases. METHODS Fifty-six GBM patients demonstrating enhancing lesions within 6 months after completion of concurrent chemo-radiotherapy (CCRT) underwent anatomical imaging, diffusion and perfusion MRI on a 3 T magnet. Subsequently, patients were classified as TP + mixed tumor (n = 37) and PsP (n = 19). When tumor specimens were available from repeat surgery, histopathologic findings were used to identify TP + mixed tumor (> 25% malignant features; n = 34) or PsP (< 25% malignant features; n = 16). In case of non-availability of tumor specimens, ≥ 2 consecutive conventional MRIs using mRANO criteria were used to determine TP + mixed tumor (n = 3) or PsP (n = 3). The multiparametric MRI-based prediction model consisted of predictive probabilities (PP) of tumor progression computed from diffusion and perfusion MRI derived parameters from contrast enhancing regions. In the next step, PP values were used to characterize each lesion as PsP or TP+ mixed tumor. The lesions were considered as PsP if the PP value was < 50% and TP+ mixed tumor if the PP value was ≥ 50%. Pearson test was used to determine the concordance correlation coefficient between PP values and histopathology/mRANO criteria. The area under ROC curve (AUC) was used as a quantitative measure for assessing the discriminatory accuracy of the prediction model in identifying PsP and TP+ mixed tumor. RESULTS Multiparametric MRI model correctly predicted PsP in 95% (18/19) and TP+ mixed tumor in 57% of cases (21/37) with an overall concordance rate of 70% (39/56) with final diagnosis as determined by histopathology/mRANO criteria. There was a significant concordant correlation coefficient between PP values and histopathology/mRANO criteria (r = 0.56; p < 0.001). The ROC analyses revealed an accuracy of 75.7% in distinguishing PsP from TP+ mixed tumor. Leave-one-out cross-validation test revealed that 73.2% of cases were correctly classified as PsP and TP + mixed tumor. CONCLUSIONS Our multiparametric MRI based prediction model may be helpful in identifying PsP in GBM patients.
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Affiliation(s)
- Laiz Laura de Godoy
- Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sumei Wang
- Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - MacLean P Nasrallah
- Clinical Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Yu Sakai
- Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Donald M O'Rourke
- Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Stephen Bagley
- Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Arati Desai
- Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Laurie A Loevner
- Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Harish Poptani
- Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Sanjeev Chawla
- Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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Lakehayli Z, Phlips P, Margoum A, Saoudi A, Hmaid L, Nejjar I, Oueslati H, Bourgois N, Dao S, Belkhir F. What effective technique to differentiate radiation brain necrosis from a tumor progression in patients treated with radiation: A monocentric retrospective study combining the MRI TRAMs technique and the ( 18F)-dopa PET/CT. Cancer Radiother 2023:S1278-3218(23)00061-6. [PMID: 37080856 DOI: 10.1016/j.canrad.2022.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/14/2022] [Accepted: 12/20/2022] [Indexed: 04/22/2023]
Abstract
PURPOSE Brain necrosis after radiotherapy is a challenging diagnosis, since it has similar radiological appearance on standard MRI to tumor progression. Consequences on treatment decisions can be important. We compare recent imaging techniques in order to adopt a reliable diagnostic protocol in doubtful situations. PATIENTS AND METHOD This is a retrospective study comparing the performance of three imaging techniques after radiotherapy of brain metastasis: Perfusion-MRI, TRAMs technique and F-dopa PET-CT. The evolution of the treated metastasis volume was also analyzed by contouring all patients MRIs. All included patients were suspected of relapse and had the three exams once the volume of treated metastasis increased. RESULTS The majority of our patients were treated by stereotactic radiotherapy. Suspicion of relapse was on average around 17months after treatment. Four cases of radionecrosis were diagnosed and six cases of real tumor progression. Neurological symptoms were less present in radionecrosis cases. All of our radionecrosis cases had relative cerebral blood volume below 1. F-dopa PET-CT succeeded to set the good diagnosis in eight cases, although we found one false positive and one false negative exam. The TRAMs technique failed in one case of false negative exam. CONCLUSIONS Perfusion-MRI showed high performance in the diagnosis of radionecrosis, especially when calculating relative cerebral blood volume rate. The TRAMs technique showed interesting results and deserves application in daily routine combined with the perfusion-MRI. F-dopa CT might induce false results because of different metabolic uptake according to tumor type, medication and brain blood barrier leak.
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Affiliation(s)
- Z Lakehayli
- Radiotherapy department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France.
| | - P Phlips
- Radiotherapy department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - A Margoum
- Medical Physics Department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - A Saoudi
- Medical Physics Department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - L Hmaid
- Radiology Department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - I Nejjar
- Neurology Department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - H Oueslati
- Radiotherapy department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - N Bourgois
- Radiotherapy department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - S Dao
- Radiology Department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
| | - F Belkhir
- Radiotherapy department, centre hospitalier de Saint-Quentin, 1, avenue Michel-de-l'Hospital, 02100 Saint-Quentin, France
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Li L, Tian Y, He Y. Late Pseudoprogression: A Potential Pitfall in 68Ga-DOTATATE PET/CT for Glioma. Clin Nucl Med 2023; 48:e207-e208. [PMID: 36728314 DOI: 10.1097/rlu.0000000000004511] [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: 02/03/2023]
Abstract
ABSTRACT Recognition of pseudoprogression in malignant glioma is one of the major challenges in the Response Assessment in Neuro-Oncology criteria. Somatostatin receptors were overexpressed on the surface of the most high-grade glioma. The corresponding PET imaging is used for planning radiation and radionuclide therapy. However, the heterogeneity of somatostatin receptors distribution is mainly responsible for the lack of specificity. Here we reported a case of a 35-year-old man with mesenchymal oligodendroglioma operation and radiotherapy 19 months ago. 68 Ga-DOTATATE PET showed intense uptake near the operation region, which has been misinterpreted as tumor recurrence.
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Affiliation(s)
- Ling Li
- From the Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
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Seyve A, Dehais C, Chinot O, Djelad A, Cohen-Moyal E, Bronnimann C, Gourmelon C, Emery E, Colin P, Boone M, Vauléon E, Langlois O, di Stefano AL, Seizeur R, Ghiringhelli F, D’Hombres A, Feuvret L, Guyotat J, Capelle L, Carpentier C, Garnier L, Honnorat J, Meyronet D, Mokhtari K, Figarella-Branger D, Ducray F. Incidence and characteristics of pseudoprogression in IDH-mutant high-grade gliomas: A POLA network study. Neuro Oncol 2023; 25:495-507. [PMID: 35953421 PMCID: PMC10013645 DOI: 10.1093/neuonc/noac194] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Incidence and characteristics of pseudoprogression in isocitrate dehydrogenase-mutant high-grade gliomas (IDHmt HGG) remain to be specifically described. METHODS We analyzed pseudoprogression characteristics and explored the possibility of pseudoprogression misdiagnosis in IDHmt HGG patients, treated with radiotherapy (RT) (with or without chemotherapy [CT]), included in the French POLA network. Pseudoprogression was analyzed in patients with MRI available for review (reference cohort, n = 200). Pseudoprogression misdiagnosis was estimated in this cohort and in an independent cohort (control cohort, n = 543) based on progression-free survival before and after first progression. RESULTS In the reference cohort, 38 patients (19%) presented a pseudoprogression after a median time of 10.5 months after RT. Pseudoprogression characteristics were similar across IDHmt HGG subtypes. In most patients, it consisted of the appearance of one or several infracentimetric, asymptomatic, contrast-enhanced lesions occurring within 2 years after RT. The only factor associated with pseudoprogression occurrence was adjuvant PCV CT. Among patients considered as having a first true progression, 7 out of 41 (17%) in the reference cohort and 35 out of 203 (17%) in the control cohort were retrospectively suspected to have a misdiagnosed pseudoprogression. Patients with a misdiagnosed pseudoprogression were characterized by a time to event and an outcome similar to that of patients with a pseudoprogression but presented with larger and more symptomatic lesions. CONCLUSION In patients with an IDHmt HGG, pseudoprogression occurs later than in IDH-wildtype glioblastomas and seems not only frequent but also frequently misdiagnosed. Within the first 2 years after RT, the possibility of a pseudoprogression should be carefully considered.
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Affiliation(s)
- Antoine Seyve
- Department of Neuro-Oncology, East Group Hospital, Hospices Civils de Lyon, Lyon, France
| | - Caroline Dehais
- Department of Neurology 2-Mazarin, APHP, University Hospital Pitié Salpêtrière-Charles Foix, Paris, France
| | - Olivier Chinot
- Department of Neuro-Oncology, AP-HM, University Hospital Timone, Marseille, France
| | - Apolline Djelad
- Department of Neurosurgery, University Hospital of Lille, Lille, France
| | - Elisabeth Cohen-Moyal
- Department of Radiotherapy, Claudius Regaud Institut, Cancer University Institut of Toulouse, Oncopole 1, Paul Sabatier University, Toulouse III, Toulouse, France
| | - Charlotte Bronnimann
- Department of Medical Oncology, University Hospital of Bordeaux, Bordeaux, France
| | - Carole Gourmelon
- Department of Medical Oncology, West Cancerology Institut René Gauducheau, Saint-Herblain, France
| | - Evelyne Emery
- Department of Neurosurgery, Caen University Hospital, Caen, France
| | - Philippe Colin
- Department of Radiotherapy, Courlancy Institut of Cancer, Rouen, France
| | - Mathieu Boone
- Medical Oncology Department, Amiens University Hospital, Amiens, France
| | | | - Olivier Langlois
- Department of Neurosurgery, University Hospital of Rouen, Rouen, France
| | | | - Romuald Seizeur
- Neurosurgery Department, Hôpital de la cavale blanche, CHU Brest, Brest, France
| | | | - Anne D’Hombres
- Department of Radiotherapy, South Group Hospital, Hospices Civils de Lyon, Lyon, France
| | - Loic Feuvret
- Department of Radiotherapy, APHP, University Hospital Pitié Salpêtrière-Charles Foix, Paris, France
| | - Jacques Guyotat
- Department of Neurosurgery, East Group Hospital, Hospices Civils de Lyon, Lyon, France
| | - Laurent Capelle
- Department of Neurosurgery, APHP, University Hospital Pitié Salpêtrière-Charles Foix, Paris, France
| | - Catherine Carpentier
- Department of Neurology 2-Mazarin, National Institute of Health and Medical Research (Inserm), CNRS, Brain and Spinal Cord Institute, University Hospital Pitié Salpêtrière-Charles Foix, Sorbonne University, Paris, France
| | - Louis Garnier
- Department of Neuro-Oncology, East Group Hospital, Hospices Civils de Lyon, Lyon, France
| | - Jérôme Honnorat
- Department of Neuro-Oncology, East Group Hospital, Hospices Civils de Lyon, Lyon, France
- SynatAc Team, Institute NeuroMyoGène, MeLis INSERM U1314/CNRS UMR 5284, Université de Lyon, Université Claude Bernard Lyon 1, Lyon, France
| | - David Meyronet
- Pathology Department, East Group Hospital, Hospices Civils de Lyon, Lyon, France
- Centre de recherche en Cancérologie de Lyon, INSERM U1052, CNRS UMR 5286, Cancer Cell Plasticity Department, Transcriptome Diversity in Stem Cells Laboratory, Lyon, France
| | - Karima Mokhtari
- Pathology Department, APHP, University Hospital Pitié Salpêtrière-Charles Foix, Paris, France
| | - Dominique Figarella-Branger
- APHM, CNRS, INP, Inst Neurophysiopathol, CHU Timone, Service d’Anatomie Pathologique et de Neuropathologie, Aix-Marseille University, Marseille, France
| | - François Ducray
- Department of Neuro-Oncology, East Group Hospital, Hospices Civils de Lyon, Lyon, France
- Centre de recherche en Cancérologie de Lyon, INSERM U1052, CNRS UMR 5286, Cancer Cell Plasticity Department, Transcriptome Diversity in Stem Cells Laboratory, Lyon, France
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Xiaoxue T, Yinzhong W, Meng Q, Lu X, Lei J. Diagnostic value of PET with different radiotracers and MRI for recurrent glioma: a Bayesian network meta-analysis. BMJ Open 2023; 13:e062555. [PMID: 36863738 PMCID: PMC9990663 DOI: 10.1136/bmjopen-2022-062555] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023] Open
Abstract
OBJECTIVE The purpose of this study was to evaluate the diagnostic accuracy of 6 different imaging modalities for differentiating glioma recurrence from postradiotherapy changes by performing a network meta-analysis (NMA) using direct comparison studies with 2 or more imaging techniques. DATA SOURCES PubMed, Scopus, EMBASE, the Web of Science and the Cochrane Library were searched from inception to August 2021. The Confidence In Network Meta-Analysis (CINeMA) tool was used to evaluate the quality of the included studies with the criterion for study inclusion being direct comparison using 2 or more imaging modalities. DATA EXTRACTION AND SYNTHESIS The consistency was evaluated by examining the agreement between direct and indirect effects. NMA was performed and the surface under the the cumulative ranking curve (SUCRA) values was obtained to calculate the probability of each imaging modality being the most effective diagnostic method. The CINeMA tool was used to evaluate the quality of the included studies. MAIN OUTCOMES AND MEASURES Direct comparison, inconsistency test, NMA and SUCRA values. RESULTS A total of 8853 potentially relevant articles were retrieved and 15 articles met the inclusion criteria. 18F-FET showed the highest SUCRA values for sensitivity, specificity, positive predictive value and accuracy, followed by 18F-FDOPA. The quality of the included evidence is classified as moderate. CONCLUSION AND RELEVANCE This review indicates that 18F-FET and 18F-FDOPA may have greater diagnostic value for glioma recurrence relative to other imaging modalities (Grading of Recommendations, Assessment, Development and Evaluations B). PROSPERO REGISTRATION NUMBER CRD42021293075.
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Affiliation(s)
- Tian Xiaoxue
- Department of Nuclear Medicine, the Second Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Wang Yinzhong
- Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Qi Meng
- Department of Radiology, No.2 Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xingru Lu
- Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Junqiang Lei
- Department of Radiology, the First Hospital of Lanzhou University, Lanzhou, Gansu, China
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Soni N, Ora M, Jena A, Rana P, Mangla R, Ellika S, Almast J, Puri S, Meyers SP. Amino Acid Tracer PET MRI in Glioma Management: What a Neuroradiologist Needs to Know. AJNR Am J Neuroradiol 2023; 44:236-246. [PMID: 36657945 PMCID: PMC10187808 DOI: 10.3174/ajnr.a7762] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/21/2022] [Indexed: 01/21/2023]
Abstract
PET with amino acid tracers provides additional insight beyond MR imaging into the biology of gliomas that can be used for initial diagnosis, delineation of tumor margins, planning of surgical and radiation therapy, assessment of residual tumor, and evaluation of posttreatment response. Hybrid PET MR imaging allows the simultaneous acquisition of various PET and MR imaging parameters in a single investigation with reduced scanning time and improved anatomic localization. This review aimed to provide neuroradiologists with a concise overview of the various amino acid tracers and a practical understanding of the clinical applications of amino acid PET MR imaging in glioma management. Future perspectives in newer advances, novel radiotracers, radiomics, and cost-effectiveness are also outlined.
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Affiliation(s)
- N Soni
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - M Ora
- Sanjay Gandhi Postgraduate Institute of Medical Sciences (M.O.), Lucknow, Uttar Pradesh, India
| | - A Jena
- Indraprastha Apollo Hospital (A.J., P.R.), New Delhi, India
| | - P Rana
- Indraprastha Apollo Hospital (A.J., P.R.), New Delhi, India
| | - R Mangla
- Upstate University Hospital (R.M.), Syracuse, New York
| | - S Ellika
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - J Almast
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - S Puri
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
| | - S P Meyers
- From the University of Rochester Medical Center (N.S., S.E., J.A., S.P., S.M.), Rochester, New York
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36
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Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response. Int J Mol Sci 2023; 24:ijms24043151. [PMID: 36834563 PMCID: PMC9959624 DOI: 10.3390/ijms24043151] [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: 01/07/2023] [Revised: 01/29/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023] Open
Abstract
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indications has yielded improved prognosis for cases where traditional therapy has shown limited efficiency. However, many patients still fail to benefit from this treatment modality, and the exact mechanisms responsible for tumor response are unknown. Noninvasive treatment monitoring is crucial for longitudinal tumor characterization and the early detection of non-responders. While various medical imaging techniques can provide a morphological picture of the lesion and its surrounding tissue, a molecular-oriented imaging approach holds the key to unraveling biological effects that occur much earlier in the immunotherapy timeline. Magnetic resonance imaging (MRI) is a highly versatile imaging modality, where the image contrast can be tailored to emphasize a particular biophysical property of interest using advanced engineering of the imaging pipeline. In this review, recent advances in molecular-MRI based cancer immunotherapy monitoring are described. Next, the presentation of the underlying physics, computational, and biological features are complemented by a critical analysis of the results obtained in preclinical and clinical studies. Finally, emerging artificial intelligence (AI)-based strategies to further distill, quantify, and interpret the image-based molecular MRI information are discussed in terms of perspectives for the future.
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Pineda E, Domenech M, Hernández A, Comas S, Balaña C. Recurrent Glioblastoma: Ongoing Clinical Challenges and Future Prospects. Onco Targets Ther 2023; 16:71-86. [PMID: 36721854 PMCID: PMC9884437 DOI: 10.2147/ott.s366371] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/19/2023] [Indexed: 01/26/2023] Open
Abstract
Virtually all glioblastomas treated in the first-line setting will recur in a short period of time, and the search for alternative effective treatments has so far been unsuccessful. Various obstacles remain unresolved, and no effective salvage therapy for recurrent glioblastoma can be envisaged in the short term. One of the main impediments to progress is the low incidence of the disease itself in comparison with other pathologies, which will be made even lower by the recent WHO classification of gliomas, which includes molecular alterations. This new classification helps refine patient prognosis but does not clarify the most appropriate treatment. Other impediments are related to clinical trials: glioblastoma patients are often excluded from trials due to their advanced age and limiting neurological symptoms; there is also the question of how best to measure treatment efficacy, which conditions the design of trials and can affect the acceptance of results by oncologists and medicine agencies. Other obstacles are related to the drugs themselves: most treatments cannot cross the blood-brain-barrier or the brain-to-tumor barrier to reach therapeutic drug levels in the tumor without producing toxicity; the drugs under study may have adverse metabolic interactions with those required for symptom control; identifying the target of the drug can be a complex issue. Additionally, the optimal method of treatment - local vs systemic therapy, the choice of chemotherapy, irradiation, targeted therapy, immunotherapy, or a combination thereof - is not yet clear in glioblastoma in comparison with other cancers. Finally, in addition to curing or stabilizing the disease, glioblastoma therapy should aim at maintaining the neurological status of the patients to enable them to return to their previous lifestyle. Here we review currently available treatments, obstacles in the search for new treatments, and novel lines of research that show promise for the future.
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Affiliation(s)
- Estela Pineda
- Medical Oncology, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Marta Domenech
- Medical Oncology, Institut Catala d’Oncologia (ICO) Badalona, Barcelona, Spain
| | - Ainhoa Hernández
- Medical Oncology, Institut Catala d’Oncologia (ICO) Badalona, Barcelona, Spain
| | - Silvia Comas
- Radiation Oncology, Institut Catala d’Oncologia (ICO) Badalona, Badalona, Spain
| | - Carmen Balaña
- Medical Oncology, Institut Catala d’Oncologia (ICO) Badalona, Barcelona, Spain,Correspondence: Carmen Balaña, Institut Catala d’Oncologia (ICO) Badalona, Carretera Canyet s/n, Badalona, 08916, Spain, Tel +34 497 89 25, Fax +34 497 89 50, Email
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38
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Anil A, Stokes AM, Chao R, Hu LS, Alhilali L, Karis JP, Bell LC, Quarles CC. Identification of single-dose, dual-echo based CBV threshold for fractional tumor burden mapping in recurrent glioblastoma. Front Oncol 2023; 13:1046629. [PMID: 36733305 PMCID: PMC9887158 DOI: 10.3389/fonc.2023.1046629] [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: 09/16/2022] [Accepted: 01/03/2023] [Indexed: 01/18/2023] Open
Abstract
Background Relative cerebral blood volume (rCBV) obtained from dynamic susceptibility contrast (DSC) MRI is widely used to distinguish high grade glioma recurrence from post treatment radiation effects (PTRE). Application of rCBV thresholds yield maps to distinguish between regional tumor burden and PTRE, a biomarker termed the fractional tumor burden (FTB). FTB is generally measured using conventional double-dose, single-echo DSC-MRI protocols; recently, a single-dose, dual-echo DSC-MRI protocol was clinically validated by direct comparison to the conventional double-dose, single-echo protocol. As the single-dose, dual-echo acquisition enables reduction in the contrast agent dose and provides greater pulse sequence parameter flexibility, there is a compelling need to establish dual-echo DSC-MRI based FTB mapping. In this study, we determine the optimum standardized rCBV threshold for the single-dose, dual-echo protocol to generate FTB maps that best match those derived from the reference standard, double-dose, single-echo protocol. Methods The study consisted of 23 high grade glioma patients undergoing perfusion scans to confirm suspected tumor recurrence. We sequentially acquired single dose, dual-echo and double dose, single-echo DSC-MRI data. For both protocols, we generated leakage-corrected standardized rCBV maps. Standardized rCBV (sRCBV) thresholds of 1.0 and 1.75 were used to compute single-echo FTB maps as the reference for delineating PTRE (sRCBV < 1.0), tumor with moderate angiogenesis (1.0 < sRCBV < 1.75), and tumor with high angiogenesis (sRCBV > 1.75) regions. To assess the sRCBV agreement between acquisition protocols, the concordance correlation coefficient (CCC) was computed between the mean tumor sRCBV values across the patients. A receiver operating characteristics (ROC) analysis was performed to determine the optimum dual-echo sRCBV threshold. The sensitivity, specificity, and accuracy were compared between the obtained optimized threshold (1.64) and the standard reference threshold (1.75) for the dual-echo sRCBV threshold. Results The mean tumor sRCBV values across the patients showed a strong correlation (CCC = 0.96) between the two protocols. The ROC analysis showed maximum accuracy at thresholds of 1.0 (delineate PTRE from tumor) and 1.64 (differentiate aggressive tumors). The reference threshold (1.75) and the obtained optimized threshold (1.64) yielded similar accuracy, with slight differences in sensitivity and specificity which were not statistically significant (1.75 threshold: Sensitivity = 81.94%; Specificity: 87.23%; Accuracy: 84.58% and 1.64 threshold: Sensitivity = 84.48%; Specificity: 84.97%; Accuracy: 84.73%). Conclusions The optimal sRCBV threshold for single-dose, dual-echo protocol was found to be 1.0 and 1.64 for distinguishing tumor recurrence from PTRE; however, minimal differences were observed when using the standard threshold (1.75) as the upper threshold, suggesting that the standard threshold could be used for both protocols. While the prior study validated the agreement of the mean sRCBV values between the protocols, this study confirmed that their voxel-wise agreement is suitable for reliable FTB mapping. Dual-echo DSC-MRI acquisitions enable robust single-dose sRCBV and FTB mapping, provide pulse sequence parameter flexibility and should improve reproducibility by mitigating variations in preload dose and incubation time.
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Affiliation(s)
- Aliya Anil
- Division of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neuroimaging Institute, Phoenix, AZ, United States
| | - Ashley M. Stokes
- Division of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neuroimaging Institute, Phoenix, AZ, United States
| | - Renee Chao
- Division of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neuroimaging Institute, Phoenix, AZ, United States
| | - Leland S. Hu
- Department of Radiology, Division of Neuroradiology, Mayo Clinic Arizona, Phoenix, AZ, United States
| | - Lea Alhilali
- Neuroradiology, Southwest Neuroimaging at Barrow Neurological Institute, Phoenix, AZ, United States
| | - John P. Karis
- Neuroradiology, Southwest Neuroimaging at Barrow Neurological Institute, Phoenix, AZ, United States
| | - Laura C. Bell
- Early Clinical Development, Genentech, San Francisco, CA, United States
| | - C. Chad Quarles
- Cancer System Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States,*Correspondence: C. Chad Quarles,
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Miller JJ, Gonzalez Castro LN, McBrayer S, Weller M, Cloughesy T, Portnow J, Andronesi O, Barnholtz-Sloan JS, Baumert BG, Berger MS, Bi WL, Bindra R, Cahill DP, Chang SM, Costello JF, Horbinski C, Huang RY, Jenkins RB, Ligon KL, Mellinghoff IK, Nabors LB, Platten M, Reardon DA, Shi DD, Schiff D, Wick W, Yan H, von Deimling A, van den Bent M, Kaelin WG, Wen PY. Isocitrate dehydrogenase (IDH) mutant gliomas: A Society for Neuro-Oncology (SNO) consensus review on diagnosis, management, and future directions. Neuro Oncol 2023; 25:4-25. [PMID: 36239925 PMCID: PMC9825337 DOI: 10.1093/neuonc/noac207] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Isocitrate dehydrogenase (IDH) mutant gliomas are the most common adult, malignant primary brain tumors diagnosed in patients younger than 50, constituting an important cause of morbidity and mortality. In recent years, there has been significant progress in understanding the molecular pathogenesis and biology of these tumors, sparking multiple efforts to improve their diagnosis and treatment. In this consensus review from the Society for Neuro-Oncology (SNO), the current diagnosis and management of IDH-mutant gliomas will be discussed. In addition, novel therapies, such as targeted molecular therapies and immunotherapies, will be reviewed. Current challenges and future directions for research will be discussed.
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Affiliation(s)
- Julie J Miller
- Stephen E. and Catherine Pappas Center for Neuro-Oncology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - L Nicolas Gonzalez Castro
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Samuel McBrayer
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, 6000 Harry Hines Blvd, Dallas, Texas, 75235, USA
| | - Michael Weller
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
| | | | - Jana Portnow
- Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Ovidiu Andronesi
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill S Barnholtz-Sloan
- Informatics and Data Science (IDS), Center for Biomedical Informatics and Information Technology (CBIIT), Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Bethesda, MD, USA
| | - Brigitta G Baumert
- Cantonal Hospital Graubunden, Institute of Radiation-Oncology, Chur, Switzerland
| | - Mitchell S Berger
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Wenya Linda Bi
- Harvard Medical School, Boston, MA, USA
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ranjit Bindra
- Department of Therapeutic Radiology, Brain Tumor Center, Yale School of Medicine, New Haven, CT, USA
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan M Chang
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Joseph F Costello
- Department of Neurosurgery, University of California-San Francisco, San Francisco, California, USA
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Northwestern Medicine Malnati Brain Tumor Institute of the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Raymond Y Huang
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Robert B Jenkins
- Individualized Medicine Research, Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, Minnesota 55901, USA
| | - Keith L Ligon
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ingo K Mellinghoff
- Department of Neurology, Evnin Family Chair in Neuro-Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - L Burt Nabors
- Department of Neurology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Michael Platten
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - David A Reardon
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Diana D Shi
- Harvard Medical School, Boston, MA, USA
- Department of Radiation Oncology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - David Schiff
- Division of Neuro-Oncology, Department of Neurology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Wolfgang Wick
- Neuro-Oncology at the German Cancer Research Center (DKFZ), Program Chair of Neuro-Oncology at the National Center for Tumor Diseases (NCT), and Neurology and Chairman at the Neurology Clinic in Heidelberg, Heidelberg, Germany
| | - Hai Yan
- Genetron Health Inc, Gaithersburg, Maryland 20879, USA
| | - Andreas von Deimling
- Department of Neuropathology, University Hospital Heidelberg, and, Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), and, DKTK, INF 224, 69120 Heidelberg, Germany
| | - Martin van den Bent
- Brain Tumour Centre, Erasmus MC Cancer Institute, Groene Hilledijk 301, 3075 EA Rotterdam, The Netherlands
| | - William G Kaelin
- Harvard Medical School, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Patrick Y Wen
- Harvard Medical School, Boston, MA, USA
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
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Czarnywojtek A, Gut P, Sowiński J, Ruchała M, Ferlito A, Dyrka K. A NEW HYPOTHESIS IN THE TREATMENT OF RECURRENT GLIOBLASTOMA MULTIFORME (GBM). PART 2: IS THERE AN ALTERNATIVE THERAPY OPTION IN RECURRENT GM WHEN ALL STANDARD TREATMENTS HAVE BEEN EXHAUSTED? POLSKI MERKURIUSZ LEKARSKI : ORGAN POLSKIEGO TOWARZYSTWA LEKARSKIEGO 2023; 51:433-435. [PMID: 37756466 DOI: 10.36740/merkur202304120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Glioblastoma multiforme (GBM) is the most aggressive and malignant brain tumor. The average survival time for a patient diagnosed with GBM, using standard treatment methods, is several months. Besides the routinely applied treatments such as neurosurgery, radiotherapy, and chemotherapy, progress is being made in the field of oncology, offering hope for improved treatment outcomes. New treatment methods include individualized multimodal immunotherapy (IMI) and modulated electro-hyperthermia. The coauthor of the above series of articles (parts 1 and 2) - A.Cz. presents the concept of a new, potentially breakthrough treatment option for recurrent GBM. A.Cz. was diagnosed with GBM in August 2021. Exhaustion of standard treatment methods, as well as immunotherapy and virotherapy, only provided temporary relief. Unfortunately, after a few months, the disease recurred. Having little to lose, A.Cz. accepted an ablative dose of 2960 MBq (80 mCi) of I131, based on available literature data. Three days before the administration of radioiodine therapy (RIT), A.Cz. prophylactically blocked the thyroid's ability to absorb the radioisotope. In June 2023, approximately 7 weeks after receiving single I131 dose, the MRI examination confirmed a 30% reduction in the tumor's size. Based on this, one can speculate that Iodine-131 therapy may be an alternative treatment option for GBM patients in the future. However, this hypothesis requires confirmation in further clinical studies.
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Affiliation(s)
- Agata Czarnywojtek
- DEPARTMENT OF PHARMACOLOGY, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND; CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Paweł Gut
- CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Jerzy Sowiński
- CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Marek Ruchała
- CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Alfio Ferlito
- COORDINATOR OF THE INTERNATIONAL HEAD AND NECK SCIENTIFIC GROUP, 35100 PADUA, ITALY
| | - Kamil Dyrka
- CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
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41
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Czarnywojtek A, Gut P, Borowska M, Dyrka K, Ruchała M, Ferlito A. A NEW HYPOTHESIS IN THE TREATMENT OF RECURRENT GLIOBLASTOMA MULTIFORME (GBM). PART 1: INTRODUCTION. POLSKI MERKURIUSZ LEKARSKI : ORGAN POLSKIEGO TOWARZYSTWA LEKARSKIEGO 2023; 51:430-432. [PMID: 37756465 DOI: 10.36740/merkur202304119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
Modern treatment of glioblastoma multiforme (GBM) is based on neurosurgical methods combined with radiotherapy and chemotherapy. The prognosis for patients with GBM is extremely poor. Often, complete removal of the tumor is impossible and it often recurs. Therefore, in addition to standard regimens, modern methods such as modulated electrohyperthermia, monoclonal antibodies and individualised multimodal immunotherapy (IMI) based on vaccines and oncolytic viruses are also used in the treatment of GBM. Radioiodine therapy (RIT) also holds out hope for an effective treatment of this extremely aggressive brain tumor. The expression of the sodium iodide symporter (NIS) gene has been proven to have a positive effect on the treatment of selected cancers. Research confirm the presence of expression of this gene in GBM cells, although only in animal studies. Is it possible and therapeutically effective to treat GBM with RIT without the use of an exogenous NIS gene? The safety of therapy is relevant, as the only more serious adverse effect may be hypothyroidism. The use of RIT requires further clinical studies in patients. Perhaps it is worth revolutionizing GBM therapy to give sufferers a "new life".
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Affiliation(s)
- Agata Czarnywojtek
- DEPARTMENT OF PHARMACOLOGY, POZNAN U;NIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Paweł Gut
- CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Magdalena Borowska
- DEPARTMENT OF PHARMACOLOGY, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Kamil Dyrka
- CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Marek Ruchała
- CHAIR AND DEPARTMENT OF ENDOCRINOLOGY, METABOLISM AND INTERNAL MEDICINE, POZNAN UNIVERSITY OF MEDICAL SCIENCES, POZNAN, POLAND
| | - Alfio Ferlito
- COORDINATOR OF THE INTERNATIONAL HEAD AND NECK SCIENTIFIC GROUP, 35100 PADUA, ITALY
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42
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Han RH, Johanns TM, Roberts KF, Tao Y, Luo J, Ye Z, Sun P, Blum J, Lin TH, Song SK, Kim AH. Diffusion basis spectrum imaging as an adjunct to conventional MRI leads to earlier diagnosis of high-grade glioma tumor progression versus treatment effect. Neurooncol Adv 2023; 5:vdad050. [PMID: 37215950 PMCID: PMC10195207 DOI: 10.1093/noajnl/vdad050] [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: 05/24/2023] Open
Abstract
Background Following chemoradiotherapy for high-grade glioma (HGG), it is often challenging to distinguish treatment changes from true tumor progression using conventional MRI. The diffusion basis spectrum imaging (DBSI) hindered fraction is associated with tissue edema or necrosis, which are common treatment-related changes. We hypothesized that DBSI hindered fraction may augment conventional imaging for earlier diagnosis of progression versus treatment effect. Methods Adult patients were prospectively recruited if they had a known histologic diagnosis of HGG and completed standard-of-care chemoradiotherapy. DBSI and conventional MRI data were acquired longitudinally beginning 4 weeks post-radiation. Conventional MRI and DBSI metrics were compared with respect to their ability to diagnose progression versus treatment effect. Results Twelve HGG patients were enrolled between August 2019 and February 2020, and 9 were ultimately analyzed (5 progression, 4 treatment effect). Within new or enlarging contrast-enhancing regions, DBSI hindered fraction was significantly higher in the treatment effect group compared to progression group (P = .0004). Compared to serial conventional MRI alone, inclusion of DBSI would have led to earlier diagnosis of either progression or treatment effect in 6 (66.7%) patients by a median of 7.7 (interquartile range = 0-20.1) weeks. Conclusions In the first longitudinal prospective study of DBSI in adult HGG patients, we found that in new or enlarging contrast-enhancing regions following therapy, DBSI hindered fraction is elevated in cases of treatment effect compared to those with progression. Hindered fraction map may be a valuable adjunct to conventional MRI to distinguish tumor progression from treatment effect.
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Affiliation(s)
- Rowland H Han
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tanner M Johanns
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- The Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kaleigh F Roberts
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yu Tao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jingqin Luo
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Zezhong Ye
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Peng Sun
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jacob Blum
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Tsen-Hsuan Lin
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sheng-Kwei Song
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
- The Brain Tumor Center, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
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Liau LM, Ashkan K, Brem S, Campian JL, Trusheim JE, Iwamoto FM, Tran DD, Ansstas G, Cobbs CS, Heth JA, Salacz ME, D’Andre S, Aiken RD, Moshel YA, Nam JY, Pillainayagam CP, Wagner SA, Walter KA, Chaudhary R, Goldlust SA, Lee IY, Bota DA, Elinzano H, Grewal J, Lillehei K, Mikkelsen T, Walbert T, Abram S, Brenner AJ, Ewend MG, Khagi S, Lovick DS, Portnow J, Kim L, Loudon WG, Martinez NL, Thompson RC, Avigan DE, Fink KL, Geoffroy FJ, Giglio P, Gligich O, Krex D, Lindhorst SM, Lutzky J, Meisel HJ, Nadji-Ohl M, Sanchin L, Sloan A, Taylor LP, Wu JK, Dunbar EM, Etame AB, Kesari S, Mathieu D, Piccioni DE, Baskin DS, Lacroix M, May SA, New PZ, Pluard TJ, Toms SA, Tse V, Peak S, Villano JL, Battiste JD, Mulholland PJ, Pearlman ML, Petrecca K, Schulder M, Prins RM, Boynton AL, Bosch ML. Association of Autologous Tumor Lysate-Loaded Dendritic Cell Vaccination With Extension of Survival Among Patients With Newly Diagnosed and Recurrent Glioblastoma: A Phase 3 Prospective Externally Controlled Cohort Trial. JAMA Oncol 2023; 9:112-121. [PMID: 36394838 PMCID: PMC9673026 DOI: 10.1001/jamaoncol.2022.5370] [Citation(s) in RCA: 142] [Impact Index Per Article: 142.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/27/2022] [Indexed: 11/19/2022]
Abstract
Importance Glioblastoma is the most lethal primary brain cancer. Clinical outcomes for glioblastoma remain poor, and new treatments are needed. Objective To investigate whether adding autologous tumor lysate-loaded dendritic cell vaccine (DCVax-L) to standard of care (SOC) extends survival among patients with glioblastoma. Design, Setting, and Participants This phase 3, prospective, externally controlled nonrandomized trial compared overall survival (OS) in patients with newly diagnosed glioblastoma (nGBM) and recurrent glioblastoma (rGBM) treated with DCVax-L plus SOC vs contemporaneous matched external control patients treated with SOC. This international, multicenter trial was conducted at 94 sites in 4 countries from August 2007 to November 2015. Data analysis was conducted from October 2020 to September 2021. Interventions The active treatment was DCVax-L plus SOC temozolomide. The nGBM external control patients received SOC temozolomide and placebo; the rGBM external controls received approved rGBM therapies. Main Outcomes and Measures The primary and secondary end points compared overall survival (OS) in nGBM and rGBM, respectively, with contemporaneous matched external control populations from the control groups of other formal randomized clinical trials. Results A total of 331 patients were enrolled in the trial, with 232 randomized to the DCVax-L group and 99 to the placebo group. Median OS (mOS) for the 232 patients with nGBM receiving DCVax-L was 19.3 (95% CI, 17.5-21.3) months from randomization (22.4 months from surgery) vs 16.5 (95% CI, 16.0-17.5) months from randomization in control patients (HR = 0.80; 98% CI, 0.00-0.94; P = .002). Survival at 48 months from randomization was 15.7% vs 9.9%, and at 60 months, it was 13.0% vs 5.7%. For 64 patients with rGBM receiving DCVax-L, mOS was 13.2 (95% CI, 9.7-16.8) months from relapse vs 7.8 (95% CI, 7.2-8.2) months among control patients (HR, 0.58; 98% CI, 0.00-0.76; P < .001). Survival at 24 and 30 months after recurrence was 20.7% vs 9.6% and 11.1% vs 5.1%, respectively. Survival was improved in patients with nGBM with methylated MGMT receiving DCVax-L compared with external control patients (HR, 0.74; 98% CI, 0.55-1.00; P = .03). Conclusions and Relevance In this study, adding DCVax-L to SOC resulted in clinically meaningful and statistically significant extension of survival for patients with both nGBM and rGBM compared with contemporaneous, matched external controls who received SOC alone. Trial Registration ClinicalTrials.gov Identifier: NCT00045968.
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Affiliation(s)
- Linda M. Liau
- Department of Neurosurgery, University of California, Los Angeles
| | | | - Steven Brem
- Department of Neurosurgery, Penn Brain Tumor Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jian L. Campian
- Division of Neurology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - John E. Trusheim
- Givens Brain Tumor Center, Abbott Northwestern Hospital, Minneapolis, Minnesota
| | - Fabio M. Iwamoto
- Columbia University Irving Medical Center, New York, New York
- New York-Presbyterian Hospital, New York, New York
| | - David D. Tran
- Preston A. Wells, Jr. Center for Brain Tumor Therapy, Division of Neuro-Oncology, Lillian S. Wells Department of Neurosurgery, University of Florida College of Medicine, Gainesville
| | - George Ansstas
- Department of Neurological Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Charles S. Cobbs
- Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Medical Center, Seattle, Washington
| | - Jason A. Heth
- Taubman Medical Center, University of Michigan, Ann Arbor
| | - Michael E. Salacz
- Neuro-Oncology Program, Rutgers Cancer Institute of New Jersey, New Brunswick
| | | | - Robert D. Aiken
- Glasser Brain Tumor Center, Atlantic Healthcare, Summit, New Jersey
| | - Yaron A. Moshel
- Glasser Brain Tumor Center, Atlantic Healthcare, Summit, New Jersey
| | - Joo Y. Nam
- Department of Neurological Sciences, Rush Medical College, Chicago, Illinois
| | | | | | | | | | - Samuel A. Goldlust
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, New Jersey
| | - Ian Y. Lee
- Department of Neurosurgery, Henry Ford Health System, Detroit, Michigan
| | - Daniela A. Bota
- Department of Neurology and Chao Family Comprehensive Cancer Center, University of California, Irvine
| | | | - Jai Grewal
- Long Island Brain Tumor Center at NSPC, Lake Success, New York
| | - Kevin Lillehei
- Department of Neurosurgery, University of Colorado Health Sciences Center, Boulder
| | - Tom Mikkelsen
- Department of Neurosurgery, Henry Ford Health System, Detroit, Michigan
| | - Tobias Walbert
- Department of Neurosurgery, Henry Ford Health System, Detroit, Michigan
| | - Steven Abram
- Ascension St Thomas Brain and Spine Tumor Center, Howell Allen Clinic, Nashville, Tennessee
| | | | - Matthew G. Ewend
- Department of Neurosurgery, UNC School of Medicine and UNC Health, Chapel Hill, North Carolina
| | - Simon Khagi
- The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | | | - Jana Portnow
- Department of Medical Oncology & Therapeutics Research, City of Hope, Duarte, California
| | - Lyndon Kim
- Division of Neuro-Oncology, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Nina L. Martinez
- Jefferson Hospital for Neurosciences, Jefferson University, Philadelphia, Pennsylvania
| | - Reid C. Thompson
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - David E. Avigan
- Beth Israel Deaconess Medical Center, Harvard Medical School, Cambridge, Massachusetts
| | - Karen L. Fink
- Baylor Scott & White Neuro-Oncology Associates, Dallas, Texas
| | | | - Pierre Giglio
- Medical University of South Carolina Neurosciences, Charleston
| | - Oleg Gligich
- Mount Sinai Medical Center, Miami Beach, Florida
| | | | - Scott M. Lindhorst
- Hollings Cancer Center, Medical University of South Carolina, Charleston
| | - Jose Lutzky
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | | | - Minou Nadji-Ohl
- Neurochirurgie Katharinenhospital, Klinikum der Landeshauptstadt Stuttgart, Stuttgart, Germany
| | | | - Andrew Sloan
- Seidman Cancer Center, University Hospitals–Cleveland Medical Center, Cleveland, Ohio
| | - Lynne P. Taylor
- Department of Neurosurgery, Tufts Medical Center, Boston, Massachusetts
| | - Julian K. Wu
- Department of Neurosurgery, Tufts Medical Center, Boston, Massachusetts
| | - Erin M. Dunbar
- Piedmont Physicians Neuro-Oncology, Piedmont Brain Tumor Center, Atlanta, Georgia
| | | | - Santosh Kesari
- Pacific Neurosciences Institute and Saint John’s Cancer Institute, Santa Monica, California
| | - David Mathieu
- Centre de Recherche du CHUS, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | | | - David S. Baskin
- Department of Neurosurgery, Houston Methodist Hospital, Houston, Texas
| | - Michel Lacroix
- Geisinger Neuroscience Institute, Danville, Pennsylvania
| | | | | | | | - Steven A. Toms
- Departments of Neurosurgery and Medicine, The Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Victor Tse
- Kaiser Permanente, Redwood City, California
| | - Scott Peak
- Kaiser Permanente, Redwood City, California
| | - John L. Villano
- University of Kentucky Markey Cancer Center, Department of Medicine, Neurosurgery, and Neurology, University of Kentucky, Lexington
| | | | | | | | - Kevin Petrecca
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Michael Schulder
- Department of Neurosurgery, Zucker School of Medicine at Hofstra/Northwell, Uniondale, New York
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Roach JR, Plaha P, McGowan DR, Higgins GS. The role of [ 18F]fluorodopa positron emission tomography in grading of gliomas. J Neurooncol 2022; 160:577-589. [PMID: 36434486 PMCID: PMC9758109 DOI: 10.1007/s11060-022-04177-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 10/19/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE Gliomas are the most commonly occurring brain tumour in adults and there remains no cure for these tumours with treatment strategies being based on tumour grade. All treatment options aim to prolong survival, maintain quality of life and slow the inevitable progression from low-grade to high-grade. Despite imaging advancements, the only reliable method to grade a glioma is to perform a biopsy, and even this is fraught with errors associated with under grading. Positron emission tomography (PET) imaging with amino acid tracers such as [18F]fluorodopa (18F-FDOPA), [11C]methionine (11C-MET), [18F]fluoroethyltyrosine (18F-FET), and 18F-FDOPA are being increasingly used in the diagnosis and management of gliomas. METHODS In this review we discuss the literature available on the ability of 18F-FDOPA-PET to distinguish low- from high-grade in newly diagnosed gliomas. RESULTS In 2016 the Response Assessment in Neuro-Oncology (RANO) and European Association for Neuro-Oncology (EANO) published recommendations on the clinical use of PET imaging in gliomas. However, since these recommendations there have been a number of studies performed looking at whether 18F-FDOPA-PET can identify areas of high-grade transformation before the typical radiological features of transformation such as contrast enhancement are visible on standard magnetic resonance imaging (MRI). CONCLUSION Larger studies are needed to validate 18F-FDOPA-PET as a non-invasive marker of glioma grade and prediction of tumour molecular characteristics which could guide decisions surrounding surgical resection.
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Affiliation(s)
- Joy R. Roach
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Neurosurgery, Oxford University Hospital NHS FT, John Radcliffe Hospital, L3 West Wing, Oxford, OX3 9DU UK
| | - Puneet Plaha
- Department of Neurosurgery, Oxford University Hospital NHS FT, John Radcliffe Hospital, L3 West Wing, Oxford, OX3 9DU UK
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, OX3 7DQ UK
| | - Daniel R. McGowan
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Medical Physics and Clinical Engineering, Oxford University Hospital NHS FT, Churchill Hospital, Oxford, OX3 7LE UK
| | - Geoff S. Higgins
- Department of Oncology, University of Oxford, Oxford, OX3 7DQ UK
- Department of Oncology, Oxford University Hospitals NHS FT, Oxford, UK
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Satvat N, Korczynski O, Müller-Eschner M, Othman AE, Schöffling V, Keric N, Ringel F, Sommer C, Brockmann MA, Reder S. A Rapid Late Enhancement MRI Protocol Improves Differentiation between Brain Tumor Recurrence and Treatment-Related Contrast Enhancement of Brain Parenchyma. Cancers (Basel) 2022; 14:cancers14225523. [PMID: 36428617 PMCID: PMC9688406 DOI: 10.3390/cancers14225523] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/12/2022] Open
Abstract
PURPOSE Differentiation between tumor recurrence and treatment-related contrast enhancement in MRI can be difficult. Late enhancement MRI up to 75 min after contrast agent application has been shown to improve differentiation between tumor recurrence and treatment-related changes. We investigated the diagnostic performance of late enhancement using a rapid MRI protocol optimized for clinical workflow. METHODS Twenty-three patients with 28 lesions suspected for glioma recurrence underwent MRI including T1-MPRAGE-series acquired 2 and 20 min after contrast agent administration. Early contrast series were subtracted from late contrast series using motion correction. Contrast enhancing lesions were retrospectively and independently evaluated by two readers blinded to the patients' later clinical course and histology with or without the use of late enhancement series. Sensitivity, specificity, NPV, and PPV were calculated for both readers by comparing results of MRI with histological samples. RESULTS Using standard MR sequences, sensitivity, specificity, PPV, and NPV were 0.84, 0, 0.875, and 0 (reader 1) and 0.92, 0, 0.885, and 0 (reader 2), respectively. Early late enhancement increased sensitivity, specificity, PPV, and NPV to 1 for each value and for both readers. Inter-reader reliability increased from 0.632 (standard MRI sequences) to 1.0 (with early late enhancement). CONCLUSION The described rapid late enhancement MRI protocol improves MRI-based discrimination between tumor tissue and treatment-related changes of the brain parenchyma.
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Affiliation(s)
- Neda Satvat
- Department of Neuroradiology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Oliver Korczynski
- Department of Neuroradiology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Matthias Müller-Eschner
- Department of Neuroradiology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Ahmed E. Othman
- Department of Neuroradiology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Vanessa Schöffling
- Department of Neuroradiology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Naureen Keric
- Department of Neurosurgery, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Florian Ringel
- Department of Neurosurgery, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Clemens Sommer
- Department of Neuropathology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
| | - Marc A. Brockmann
- Department of Neuroradiology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
- Correspondence: ; Tel.: +49-6131-17-7139
| | - Sebastian Reder
- Department of Neuroradiology, University Medical Centre, Johannes Gutenberg-University of Mainz, 55131 Mainz, Germany
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Abstract
Noninvasive molecular profiling of tumors using plasma-based next-generation sequencing (NGS) is increasingly used to aid in diagnosis, treatment selection, and disease monitoring in oncology. In patients with glioma, however, the plasma cell-free DNA (cfDNA) tumor fraction, defined as the fractional proportion of circulating tumor-derived DNA (ctDNA) relative to total cfDNA, is especially low, in large part due to the blood-brain barrier. As a result, commercial plasma-based NGS assays, designed to screen for a small number of actionable genomic alterations, are not sensitive enough to guide the management of patients with glioma. As this has been long recognized in neuro-oncology, significant research efforts have been undertaken to improve the sensitivity of plasma ctDNA detection in patients with glioma and to understand the biology and clinical relevance of non-tumor-derived cfDNA, which makes up most of the total cfDNA pool. Here, we review key recent advances in the field of plasma cfDNA analysis in patients with glioma, including (1) the prognostic impact of pre-treatment and on-treatment total plasma cfDNA concentrations, (2) use of tumor-guided sequencing approaches to improve the sensitivity of ctDNA detection in the plasma, and (3) the emergence of plasma cfDNA methylomics for detection and discrimination of glioma from other primary intracranial tumors.
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Affiliation(s)
- Erica L Carpenter
- Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Stephen J Bagley
- Corresponding Author: Stephen J. Bagley, MD, MSCE, Division of Hematology/Oncology, Department of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104, USA ()
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Goldman M, Lucke-Wold B, Martinez-Sosa M, Katz J, Mehkri Y, Valisno J, Quintin S. Steroid utility, immunotherapy, and brain tumor management: an update on conflicting therapies. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2022; 3:659-675. [PMID: 36338521 PMCID: PMC9630032 DOI: 10.37349/etat.2022.00106] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 08/17/2022] [Indexed: 11/05/2022] Open
Abstract
Steroid use is a widely accepted practice for both the treatment and prevention of tumor-induced edema, but there are many unknowns regarding their current clinical utility with modern anti-tumor therapies. This decreases edema and relieves the symptomatic mass effect. There are clearly understood benefits and commonly accepted complications of methylprednisolone (MP) use, but the topic is recently controversial. With immunotherapy advancing, a robust immune response is crucial for full therapeutic efficacy. The immunosuppression of MP may interfere with future and current therapeutics relying on the integrity of the patient’s immune system. This further emphasizes the need for alternative agents to effectively treat tumor-induced cerebral edema. This review highlights the current clinical utility of steroids to treat brain tumor-related edema and the underlying pathophysiology. It also reviews details regarding different steroid formulations and dosing. Research available regarding concurrent steroid use with immunotherapy is detailed next, followed by alternatives to steroids and barriers to their adoption. Finally, this paper discusses pre-clinical findings and emerging treatments aimed to augment or replace steroid use.
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Affiliation(s)
| | - Brandon Lucke-Wold
- Department of Neurosurgery, University of Florida, Gainesville, FL 32608, USA
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van den Elshout R, Scheenen TWJ, Driessen CML, Smeenk RJ, Meijer FJA, Henssen D. Diffusion imaging could aid to differentiate between glioma progression and treatment-related abnormalities: a meta-analysis. Insights Imaging 2022; 13:158. [PMID: 36194373 PMCID: PMC9532499 DOI: 10.1186/s13244-022-01295-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/04/2022] [Indexed: 11/10/2022] Open
Abstract
Background In a considerable subgroup of glioma patients treated with (chemo) radiation new lesions develop either representing tumor progression (TP) or treatment-related abnormalities (TRA). Quantitative diffusion imaging metrics such as the Apparent Diffusion Coefficient (ADC) and Fractional Anisotropy (FA) have been reported as potential metrics to noninvasively differentiate between these two phenomena. Variability in performance scores of these metrics and absence of a critical overview of the literature contribute to the lack of clinical implementation. This meta-analysis therefore critically reviewed the literature and meta-analyzed the performance scores. Methods Systematic searching was carried out in PubMed, EMBASE and The Cochrane Library. Using predefined criteria, papers were reviewed. Diagnostic accuracy values of suitable papers were meta-analyzed quantitatively. Results Of 1252 identified papers, 10 ADC papers, totaling 414 patients, and 4 FA papers, with 154 patients were eligible for meta-analysis. Mean ADC values of the patients in the TP/TRA groups were 1.13 × 10−3mm2/s (95% CI 0.912 × 10–3–1.32 × 10−3mm2/s) and 1.38 × 10−3mm2/s (95% CI 1.33 × 10–3–1.45 × 10−3mm2/s, respectively. Mean FA values of TP/TRA was 0.19 (95% CI 0.189–0.194) and 0.14 (95% CI 0.137–0.143) respectively. A significant mean difference between ADC and FA values in TP versus TRA was observed (p = 0.005). Conclusions Quantitative ADC and FA values could be useful for distinguishing TP from TRA on a meta-level. Further studies using serial imaging of individual patients are warranted to determine the role of diffusion imaging in glioma patients.
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Affiliation(s)
- Rik van den Elshout
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 EZ, Nijmegen, The Netherlands
| | - Tom W J Scheenen
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 EZ, Nijmegen, The Netherlands
| | - Chantal M L Driessen
- Department of Medical Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robert J Smeenk
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Frederick J A Meijer
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 EZ, Nijmegen, The Netherlands
| | - Dylan Henssen
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 EZ, Nijmegen, The Netherlands.
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Qin D, Yang G, Jing H, Tan Y, Zhao B, Zhang H. Tumor Progression and Treatment-Related Changes: Radiological Diagnosis Challenges for the Evaluation of Post Treated Glioma. Cancers (Basel) 2022; 14:cancers14153771. [PMID: 35954435 PMCID: PMC9367286 DOI: 10.3390/cancers14153771] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 12/30/2022] Open
Abstract
Simple Summary Glioma is the most common primary malignant tumor of the adult central nervous system. Despite aggressive multimodal treatment, its prognosis remains poor. During follow-up, it remains challenging to distinguish treatment-related changes from tumor progression in treated patients with gliomas due to both share clinical symptoms and morphological imaging characteristics (with new and/or increasing enhancing mass lesions). The early effective identification of tumor progression and treatment-related changes is of great significance for the prognosis and treatment of gliomas. We believe that advanced neuroimaging techniques can provide additional information for distinguishing both at an early stage. In this article, we focus on the research of magnetic resonance imaging technology and artificial intelligence in tumor progression and treatment-related changes. Finally, it provides new ideas and insights for clinical diagnosis. Abstract As the most common neuro-epithelial tumors of the central nervous system in adults, gliomas are highly malignant and easy to recurrence, with a dismal prognosis. Imaging studies are indispensable for tracking tumor progression (TP) or treatment-related changes (TRCs). During follow-up, distinguishing TRCs from TP in treated patients with gliomas remains challenging as both share similar clinical symptoms and morphological imaging characteristics (with new and/or increasing enhancing mass lesions) and fulfill criteria for progression. Thus, the early identification of TP and TRCs is of great significance for determining the prognosis and treatment. Histopathological biopsy is currently the gold standard for TP and TRC diagnosis. However, the invasive nature of this technique limits its clinical application. Advanced imaging methods (e.g., diffusion magnetic resonance imaging (MRI), perfusion MRI, magnetic resonance spectroscopy (MRS), positron emission tomography (PET), amide proton transfer (APT) and artificial intelligence (AI)) provide a non-invasive and feasible technical means for identifying of TP and TRCs at an early stage, which have recently become research hotspots. This paper reviews the current research on using the abovementioned advanced imaging methods to identify TP and TRCs of gliomas. First, the review focuses on the pathological changes of the two entities to establish a theoretical basis for imaging identification. Then, it elaborates on the application of different imaging techniques and AI in identifying the two entities. Finally, the current challenges and future prospects of these techniques and methods are discussed.
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Affiliation(s)
- Danlei Qin
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China;
- Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School, Hospital of Stomatology, Taiyuan 030001, China
| | - Guoqiang Yang
- Department of Radiology, First Clinical Medical College, Shanxi Medical University, Taiyuan 030001, China; (G.Y.); (Y.T.)
| | - Hui Jing
- Department of MRI, The Six Hospital, Shanxi Medical University, Taiyuan 030008, China;
| | - Yan Tan
- Department of Radiology, First Clinical Medical College, Shanxi Medical University, Taiyuan 030001, China; (G.Y.); (Y.T.)
| | - Bin Zhao
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China;
- Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School, Hospital of Stomatology, Taiyuan 030001, China
- Correspondence: (B.Z.); (H.Z.)
| | - Hui Zhang
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China;
- Department of Radiology, First Clinical Medical College, Shanxi Medical University, Taiyuan 030001, China; (G.Y.); (Y.T.)
- Intelligent Imaging Big Data and Functional Nano-imaging Engineering Research Center of Shanxi Province, Taiyuan 030001, China
- Correspondence: (B.Z.); (H.Z.)
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Taylor C, Ekert JO, Sefcikova V, Fersht N, Samandouras G. Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis. Sci Rep 2022; 12:13258. [PMID: 35918373 PMCID: PMC9345984 DOI: 10.1038/s41598-022-16726-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 07/14/2022] [Indexed: 11/09/2022] Open
Abstract
High-grade gliomas remain the most common primary brain tumour with limited treatments options and early recurrence rates following adjuvant treatments. However, differentiating true tumour progression (TTP) from treatment-related effects or pseudoprogression (PsP), may critically influence subsequent management options. Structural MRI is routinely employed to evaluate treatment responses, but misdiagnosis of TTP or PsP may lead to continuation of ineffective or premature cessation of effective treatments, respectively. A systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses method. Embase, MEDLINE, Web of Science and Google Scholar were searched for methods applied to differentiate PsP and TTP, and studies were selected using pre-specified eligibility criteria. The sensitivity and specificity of included studies were summarised. Three of the identified methods were compared in a separate subgroup meta-analysis. Thirty studies assessing seven distinct neuroimaging methods in 1372 patients were included in the systematic review. The highest performing methods in the subgroup analysis were DWI (AUC = 0.93 [0.91-0.95]) and DSC-MRI (AUC = 0.93 [0.90-0.95]), compared to DCE-MRI (AUC = 0.90 [0.87-0.93]). 18F-fluoroethyltyrosine PET (18F-FET PET) and amide proton transfer-weighted MRI (APTw-MRI) also showed high diagnostic accuracy, but results were based on few low-powered studies. Both DWI and DSC-MRI performed with high sensitivity and specificity for differentiating PsP from TTP. Considering the technical parameters and feasibility of each identified method, the authors suggested that, at present, DSC-MRI technique holds the most clinical potential.
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Affiliation(s)
- Chris Taylor
- UCL Queen Square Institute of Neurology, University College London, Gower St., Bloomsbury, Queen Square, London, WC1E 6BT, UK.
| | - Justyna O Ekert
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, UK
| | - Viktoria Sefcikova
- UCL Queen Square Institute of Neurology, University College London, Gower St., Bloomsbury, Queen Square, London, WC1E 6BT, UK
| | - Naomi Fersht
- Department of Oncology, University College London Hospitals NHS Foundation Trust, London, UK
| | - George Samandouras
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, UK
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
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