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Breda-Yepes M, Rodríguez-Hernández LA, Gómez-Figueroa E, Mondragón-Soto MG, Arellano-Flores G, Hernández-Hernández A, Rodríguez-Rubio HA, Martínez P, Reyes-Moreno I, Álvaro-Heredia JA, Gutiérrez Aceves GA, Villanueva-Castro E, Sangrador-Deitos MV, Alonso-Vanegas M, Guerrero-Juárez V, González-Aguilar A. Relative cerebral blood volume as response predictor in the treatment of recurrent glioblastoma with anti-angiogenic therapy. Clin Neurol Neurosurg 2023; 233:107904. [PMID: 37499302 DOI: 10.1016/j.clineuro.2023.107904] [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: 06/11/2023] [Revised: 07/08/2023] [Accepted: 07/16/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Glioblastoma is one of the most common brain tumors in adult populations, usually carrying a poor prognosis. While several studies have researched the impact of anti-angiogenic therapies, especially anti-VEFG treatments in glioblastoma, few have attempted to assess its progress using imaging studies. PURPOSE We attempted to analyze whether relative cerebral blood volume (rCBV) from dynamic susceptibility-weighted contrast-enhanced MRI (DSC-MRI) could predict response in patients with glioblastoma undergoing Bevacizumab (BVZ) treatment. METHODS We performed a retrospective study evaluating patients with recurrent glioblastoma receiving anti-angiogenic therapy with BVZ between 2012 and 2017 in our institution. Patients were scheduled for routine MRIs at baseline and first-month follow-up visits. Studies were processed for DSC-MRI, cT1, and FLAIR images, from which relative cerebral blood volume measurements were obtained. We assessed patient response using the Response Assessment in Neuro-Oncology (RANO) working group criteria and overall survival. RESULTS 40 patients were included in the study and were classified as Bevacizumab responders and non-responders. The average rCBV before treatment was 4.5 for both groups, and average rCBV was 2.5 for responders and 5.4 for non-responders. ROC curve set a cutoff point of 3.7 for rCBV predictive of response to BVZ. Cox Multivariate analysis only showed rCBV as a predictive factor of OS. CONCLUSION A statistically significant difference was found in rCBV between patients who responded and those who did not respond to BVZ treatment. rCBV may be a low-cost and effective marker to assess response to Bevacizumab treatment in GBM.
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Affiliation(s)
- Michele Breda-Yepes
- Department of Neurosurgery, National Institute of Neurology and Neurosurgery, Mexico
| | | | | | | | | | | | | | - Pablo Martínez
- Department of Neurosurgery, National Institute of Neurology and Neurosurgery, Mexico
| | | | - Juan A Álvaro-Heredia
- Department of Neurosurgery, National Institute of Neurology and Neurosurgery, Mexico
| | | | | | | | - Mario Alonso-Vanegas
- Department of Neurosurgery, National Institute of Neurology and Neurosurgery, Mexico
| | | | - Alberto González-Aguilar
- The American British Cowdray (ABC) Medical Center, Mexico City, Mexico; Department of Neuro-Oncology, National Institute of Neurology and Neurosurgery, Mexico; Emergency Department, National Institute of Neurology and Neurosurgery, Mexico.
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2
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Kurokawa R, Baba A, Kurokawa M, Capizzano A, Hassan O, Johnson T, Ota Y, Kim J, Hagiwara A, Moritani T, Srinivasan A. Pretreatment ADC Histogram Analysis as a Prognostic Imaging Biomarker for Patients with Recurrent Glioblastoma Treated with Bevacizumab: A Systematic Review and Meta-analysis. AJNR Am J Neuroradiol 2022; 43:202-206. [PMID: 35058300 PMCID: PMC8985678 DOI: 10.3174/ajnr.a7406] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 11/15/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND The mean ADC value of the lower Gaussian curve (ADCL) derived from the bi-Gaussian curve-fitting histogram analysis has been reported as a predictive/prognostic imaging biomarker in patients with recurrent glioblastoma treated with bevacizumab; however, its systematic summary has been lacking. PURPOSE We applied a systematic review and meta-analysis to investigate the predictive/prognostic performance of ADCL in patients with recurrent glioblastoma treated with bevacizumab. DATA SOURCES We performed a literature search using PubMed, Scopus, and EMBASE. STUDY SELECTION A total of 1344 abstracts were screened, of which 83 articles were considered potentially relevant. Data were finally extracted from 6 studies including 578 patients. DATA ANALYSIS Forest plots were generated to illustrate the hazard ratios of overall survival and progression-free survival. The heterogeneity across the studies was assessed using the Cochrane Q test and I2 values. DATA SYNTHESIS The pooled hazard ratios for overall survival and progression-free survival in patients with an ADCL lower than the cutoff values were 1.89 (95% CI, 1.53-2.31) and 1.98 (95% CI, 1.54-2.55) with low heterogeneity among the studies. Subgroup analysis of the bevacizumab-free cohort showed a pooled hazard ratio for overall survival of 1.20 (95% CI, 1.08-1.34) with low heterogeneity. LIMITATIONS The conclusions are limited by the difference in the definition of recurrence among the included studies. CONCLUSIONS This systematic review with meta-analysis supports the prognostic value of ADCL in patients with recurrent glioblastoma treated with bevacizumab, with a low ADCL demonstrating decreased overall survival and progression-free survival. On the other hand, the predictive role of ADCL for bevacizumab treatment was not confirmed.
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Affiliation(s)
- R. Kurokawa
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - A. Baba
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - M. Kurokawa
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - A. Capizzano
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - O. Hassan
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - T. Johnson
- Department of Biostatistics (T.J.), University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Y. Ota
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - J. Kim
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - A. Hagiwara
- Department of Radiology (A.H.), Juntendo University School of Medicine, Tokyo, Japan
| | - T. Moritani
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - A. Srinivasan
- From the Division of Neuroradiology (R.K., A.B., M.K., A.C., O.H., Y.O., J.K., T.M., A.S.), Department of Radiology, University of Michigan, Ann Arbor, Michigan
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3
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Mohan S, Wang S, Chawla S, Abdullah K, Desai A, Maloney E, Brem S. Multiparametric MRI assessment of response to convection-enhanced intratumoral delivery of MDNA55, an interleukin-4 receptor targeted immunotherapy, for recurrent glioblastoma. Surg Neurol Int 2021; 12:337. [PMID: 34345478 PMCID: PMC8326072 DOI: 10.25259/sni_353_2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 06/09/2021] [Indexed: 11/04/2022] Open
Abstract
Background Glioblastoma (GBM) is the most common malignant brain tumor and carries a dismal prognosis. Attempts to develop biologically targeted therapies are challenging as the blood-brain barrier can limit drugs from reaching their target when administered through conventional (intravenous or oral) routes. Furthermore, systemic toxicity of drugs often limits their therapeutic potential. To circumvent these problems, convection-enhanced delivery (CED) provides direct, targeted, intralesional therapy with a secondary objective to alter the tumor microenvironment from an immunologically "cold" (nonresponsive) to an "inflamed" (immunoresponsive) tumor. Case Description We report a patient with right occipital recurrent GBM harboring poor prognostic genotypes who was treated with MRI-guided CED of a fusion protein MDNA55 (a targeted toxin directed toward the interleukin-4 receptor). The patient underwent serial anatomical, diffusion, and perfusion MRI scans before initiation of targeted therapy and at 1, 3-month posttherapy. Increased mean diffusivity along with decreased fractional anisotropy and maximum relative cerebral blood volume was noted at follow-up periods relative to baseline. Conclusion Our findings suggest that diffusion and perfusion MRI techniques may be useful in evaluating early response to CED of MDNA55 in recurrent GBM patients.
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Affiliation(s)
- Suyash Mohan
- Department of Radiology, Division of Neuroradiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Sumei Wang
- Department of Radiology, Division of Neuroradiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Sanjeev Chawla
- Department of Radiology, Division of Neuroradiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Kalil Abdullah
- Department of Neurosurgery, University of Texas-Southwestern Medical Center, Dallas, Texas, United States
| | - Arati Desai
- Department of Medicine Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Eileen Maloney
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
| | - Steven Brem
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States
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Boxerman JL, Quarles CC, Hu LS, Erickson BJ, Gerstner ER, Smits M, Kaufmann TJ, Barboriak DP, Huang RH, Wick W, Weller M, Galanis E, Kalpathy-Cramer J, Shankar L, Jacobs P, Chung C, van den Bent MJ, Chang S, Al Yung WK, Cloughesy TF, Wen PY, Gilbert MR, Rosen BR, Ellingson BM, Schmainda KM. Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas. Neuro Oncol 2020; 22:1262-1275. [PMID: 32516388 PMCID: PMC7523451 DOI: 10.1093/neuonc/noaa141] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Despite the widespread clinical use of dynamic susceptibility contrast (DSC) MRI, DSC-MRI methodology has not been standardized, hindering its utilization for response assessment in multicenter trials. Recently, the DSC-MRI Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition issued an updated consensus DSC-MRI protocol compatible with the standardized brain tumor imaging protocol (BTIP) for high-grade gliomas that is increasingly used in the clinical setting and is the default MRI protocol for the National Clinical Trials Network. After reviewing the basis for controversy over DSC-MRI protocols, this paper provides evidence-based best practices for clinical DSC-MRI as determined by the Committee, including pulse sequence (gradient echo vs spin echo), BTIP-compliant contrast agent dosing (preload and bolus), flip angle (FA), echo time (TE), and post-processing leakage correction. In summary, full-dose preload, full-dose bolus dosing using intermediate (60°) FA and field strength-dependent TE (40-50 ms at 1.5 T, 20-35 ms at 3 T) provides overall best accuracy and precision for cerebral blood volume estimates. When single-dose contrast agent usage is desired, no-preload, full-dose bolus dosing using low FA (30°) and field strength-dependent TE provides excellent performance, with reduced contrast agent usage and elimination of potential systematic errors introduced by variations in preload dose and incubation time.
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Affiliation(s)
- Jerrold L Boxerman
- Department of Diagnostic Imaging, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
- Representative of the American Society of Neuroradiology (ASNR)
- Representative of the American Society of Functional Neuroradiology (ASFNR)
| | - Chad C Quarles
- Department of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, USA
| | - Leland S Hu
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA
- Representative of the Alliance for Clinical Trials in Oncology
- Representative of the American Society of Neuroradiology (ASNR)
| | - Bradley J Erickson
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Representative of the Alliance for Clinical Trials in Oncology
- Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA)
- Representative of the American Society of Neuroradiology (ASNR)
| | - Elizabeth R Gerstner
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Representative of the Adult Brain Tumor Consortium (ABTC)
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC–University Medical Center Rotterdam, Rotterdam, Netherlands
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Timothy J Kaufmann
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Representative of the Alliance for Clinical Trials in Oncology
| | - Daniel P Barboriak
- Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
- Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA)
- Representative of the American Society of Neuroradiology (ASNR)
| | - Raymond H Huang
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Wolfgang Wick
- Department of Neurooncology, National Center of Tumor Disease, University Clinic Heidelberg, Heidelberg, Germany
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Evanthia Galanis
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, Minnesota, USA
- Representative of the Alliance for Clinical Trials in Oncology
| | - Jayashree Kalpathy-Cramer
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Lalitha Shankar
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA
| | - Paula Jacobs
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA
| | - Caroline Chung
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Representative of the Alliance for Clinical Trials in Oncology
| | - Martin J van den Bent
- Department of Neuro-Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Representative of the European Organisation for Research and Treatment of Cancer (EORTC)
| | - Susan Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - W K Al Yung
- Department of Neuro-Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program and UCLA Brain Tumor Imaging Laboratory (BTIL), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
- Representative of the Adult Brain Tumor Consortium (ABTC)
| | - Mark R Gilbert
- Neuro-Oncology Branch, National Cancer Institute (NCI), Bethesda, Maryland, USA
- Representative of the Radiation Therapy Oncology Group (RTOG)
| | - Bruce R Rosen
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Benjamin M Ellingson
- UCLA Neuro-Oncology Program and UCLA Brain Tumor Imaging Laboratory (BTIL), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Departments of Radiological Sciences, Psychiatry, and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
- Representative of the Adult Brain Tumor Consortium (ABTC)
- Representative of the Ivy Consortium for Early Phase Clinical Trials
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
- Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA)
- Representative of the American Society of Neuroradiology (ASNR)
| | - Kathleen M Schmainda
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
- Representative of the Eastern Cooperative Oncology Group–American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group
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Baseline multicentric tumors, distant recurrences and leptomeningeal dissemination predict poor survival in patients with recurrent glioblastomas receiving bevacizumab. J Neurooncol 2018; 142:149-159. [DOI: 10.1007/s11060-018-03075-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 12/06/2018] [Indexed: 12/14/2022]
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MRI in Glioma Immunotherapy: Evidence, Pitfalls, and Perspectives. J Immunol Res 2017; 2017:5813951. [PMID: 28512646 PMCID: PMC5415864 DOI: 10.1155/2017/5813951] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 02/06/2017] [Accepted: 03/02/2017] [Indexed: 01/14/2023] Open
Abstract
Pseudophenomena, that is, imaging alterations due to therapy rather than tumor evolution, have an important impact on the management of glioma patients and the results of clinical trials. RANO (response assessment in neurooncology) criteria, including conventional MRI (cMRI), addressed the issues of pseudoprogression after radiotherapy and concomitant chemotherapy and pseudoresponse during antiangiogenic therapy of glioblastomas (GBM) and other gliomas. The development of cancer immunotherapy forced the identification of further relevant response criteria, summarized by the iRANO working group in 2015. In spite of this, the unequivocal definition of glioma progression by cMRI remains difficult particularly in the setting of immunotherapy approaches provided by checkpoint inhibitors and dendritic cells. Advanced MRI (aMRI) may in principle address this unmet clinical need. Here, we discuss the potential contribution of different aMRI techniques and their indications and pitfalls in relation to biological and imaging features of glioma and immune system interactions.
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Molina D, Pérez-Beteta J, Martínez-González A, Sepúlveda JM, Peralta S, Gil-Gil MJ, Reynes G, Herrero A, De Las Peñas R, Luque R, Capellades J, Balaña C, Pérez-García VM. Geometrical Measures Obtained from Pretreatment Postcontrast T1 Weighted MRIs Predict Survival Benefits from Bevacizumab in Glioblastoma Patients. PLoS One 2016; 11:e0161484. [PMID: 27557121 PMCID: PMC4996463 DOI: 10.1371/journal.pone.0161484] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Accepted: 08/06/2016] [Indexed: 11/18/2022] Open
Abstract
Background Antiangiogenic therapies for glioblastoma (GBM) such as bevacizumab (BVZ), have been unable to extend survival in large patient cohorts. However, a subset of patients having angiogenesis-dependent tumors might benefit from these therapies. Currently, there are no biomarkers allowing to discriminate responders from non-responders before the start of the therapy. Methods 40 patients from the randomized GENOM009 study complied the inclusion criteria (quality of images, clinical data available). Of those, 23 patients received first line temozolomide (TMZ) for eight weeks and then concomitant radiotherapy and TMZ. 17 patients received BVZ+TMZ for seven weeks and then added radiotherapy to the treatment. Clinical variables were collected, tumors segmented and several geometrical measures computed including: Contrast enhancing (CE), necrotic, and total volumes; equivalent spherical CE width; several geometric measures of the CE ‘rim’ geometry and a set of image texture measures. The significance of the results was studied using Kaplan-Meier and Cox proportional hazards analysis. Correlations were assessed using Spearman correlation coefficients. Results Kaplan-Meier and Cox proportional hazards analysis showed that total, CE and inner volume (p = 0.019, HR = 4.258) and geometric heterogeneity of the CE areas (p = 0.011, HR = 3.931) were significant parameters identifying response to BVZ. The group of patients with either regular CE areas (small geometric heterogeneity, median difference survival 15.88 months, p = 0.011) or those with small necrotic volume (median survival difference 14.50 months, p = 0.047) benefited substantially from BVZ. Conclusion Imaging biomarkers related to the irregularity of contrast enhancing areas and the necrotic volume were able to discriminate GBM patients with a substantial survival benefit from BVZ. A prospective study is needed to validate our results.
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Affiliation(s)
- David Molina
- Laboratory of Mathematical Oncology (MôLAB), Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Edificio Politécnico, Avda. Camilo José Cela 3, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain
- * E-mail:
| | - Julián Pérez-Beteta
- Laboratory of Mathematical Oncology (MôLAB), Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Edificio Politécnico, Avda. Camilo José Cela 3, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain
| | - Alicia Martínez-González
- Laboratory of Mathematical Oncology (MôLAB), Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Edificio Politécnico, Avda. Camilo José Cela 3, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain
| | - Juan M. Sepúlveda
- Medical Oncology Service, Hospital Universitario, 12 de Octubre, Madrid, Spain
| | - Sergi Peralta
- Medical Oncology Service, Hospital Sant Joan de Reus, Reus, Spain
| | - Miguel J. Gil-Gil
- Medical Oncology Service, Institut Catalá d’Oncologia IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Gaspar Reynes
- Medical Oncology Service, Hospital Universitario La Fe, Valencia, Spain
| | - Ana Herrero
- Medical Oncology Service, Hospital Miguel Servet, Zaragoza, Spain
| | - Ramón De Las Peñas
- Medical Oncology Service, Hospital Provincial de Castellón, Castellón, Spain
| | - Raquel Luque
- Medical Oncology Service, Hospital Universitario Virgen de las Nieves, Granada, Spain
| | - Jaume Capellades
- Neuroradiology Section. Radiology Service. Hospital del Mar, Barcelona, Spain
| | - Carmen Balaña
- Medical Oncology Service, Institut Català d’Oncologia, IGTP, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Víctor M. Pérez-García
- Laboratory of Mathematical Oncology (MôLAB), Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Edificio Politécnico, Avda. Camilo José Cela 3, Universidad de Castilla-La Mancha, 13071 Ciudad Real, Spain
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8
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Daniels D, Guez D, Last D, Hoffmann C, Nass D, Talianski A, Tsarfaty G, Salomon S, Kanner AA, Blumenthal DT, Bokstein F, Harnof S, Yekutieli D, Zamir S, Cohen ZR, Zach L, Mardor Y. Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas. AJNR Am J Neuroradiol 2016; 37:2003-2009. [PMID: 27390321 DOI: 10.3174/ajnr.a4866] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 05/02/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE The interpretation of the radiologic response of bevacizumab-treated patients with recurrent high-grade gliomas represents a unique challenge. Delayed-contrast MR imaging was recently introduced for calculating treatment-response-assessment maps in patients with brain tumors, providing clear separation between active tumor and treatment effects. We studied the application of standard and delayed-contrast MR imaging for assessing and predicting the response to bevacizumab. MATERIALS AND METHODS Twenty-four patients with recurrent high-grade gliomas were scanned before and during bevacizumab treatment by standard and delayed-contrast MR imaging. The mean change in lesion volumes of responders (overall survival, ≥1 year) and nonresponders (overall survival, <1 year) was studied. The lesion volumes at baseline and the changes in lesion volumes 1 month after treatment initiation, calculated from standard and delayed-contrast MRIs, were studied as possible predictors of outcome. In scans acquired at progression, the average change in lesion volume from previous follow-up in standard and delayed-contrast MRIs was compared. RESULTS Response and progression patterns were identified from the mean change in lesion volumes, depicted from conventional T1WI, delayed contrast-enhanced MR imaging, and DSC MR imaging. Thresholds for early prediction of response were calculated by using these sequences. For each predictor, sensitivity, specificity, positive predictive values, and negative predictive values were calculated, reaching 85.7%, 87.5%, 75%, and 93.3% for conventional T1WI; 100%, 87.5%, 77.8%, and 100% for delayed-contrast MR imaging; and 75%, 78.6%, 50%, and 91.7% for DSC MR imaging. The benefit of delayed-contrast MR imaging in separating responders and nonresponders was further confirmed by using log-rank tests (conventional T1WI, P = .0022; delayed-contrast MR imaging, P < .0001; DSC MR imaging, P = .0232) and receiver operating characteristic analyses. At progression, the increase in lesion volumes in delayed-contrast MR imaging was 37.5% higher than the increase in conventional T1WI (P < .01); these findings suggest that progression may be depicted more effectively in treatment-response-assessment maps. CONCLUSIONS The benefit of contrast-enhanced MR imaging for assessing and predicting the response to bevacizumab was demonstrated. The increased sensitivity of the treatment-response-assessment maps reflects their potential contribution to the management of bevacizumab-treated patients with recurrent high-grade glioma.
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Affiliation(s)
- D Daniels
- Advanced Technology Center (D.G., D.L., D.D., S.S., Y.M.) .,Sackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
| | - D Guez
- Advanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
| | - D Last
- Advanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
| | - C Hoffmann
- Radiology Institute (C.H., G.T.).,Sackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
| | - D Nass
- Pathology Institute (D.N.), Sheba Medical Center, Ramat-Gan, Israel
| | | | - G Tsarfaty
- Radiology Institute (C.H., G.T.).,Sackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
| | - S Salomon
- Advanced Technology Center (D.G., D.L., D.D., S.S., Y.M.)
| | - A A Kanner
- Stereotactic Radiosurgery Unit (A.A.K.), Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel
| | | | | | - S Harnof
- Department of Neurosurgery (Z.R.C., S.H.).,Sackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
| | - D Yekutieli
- School of Mathematical Sciences (D.Y., S.Z.), Tel-Aviv University, Tel-Aviv, Israel
| | - S Zamir
- School of Mathematical Sciences (D.Y., S.Z.), Tel-Aviv University, Tel-Aviv, Israel
| | - Z R Cohen
- Department of Neurosurgery (Z.R.C., S.H.).,Sackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
| | - L Zach
- From the Oncology Institute (L.Z., A.T.).,Sackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
| | - Y Mardor
- Advanced Technology Center (D.G., D.L., D.D., S.S., Y.M.).,Sackler Faculty of Medicine (L.Z., D.D., C.H., G.T., Z.R.C., Y.M., S.H.)
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9
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Abstract
Abnormal tumor vasculature is a potent mediator of treatment resistance because it results in heterogeneous perfusion, hypoxia, increased interstitial fluid pressure, and incomplete penetration of cytotoxic chemotherapies. Targeting this abnormal tumor vasculature is a promising therapeutic strategy, but results with antiangiogenic drugs in brain cancer have been mixed. Vasculature's response to treatment is a dynamic physiological process that can change rapidly throughout treatment, so it requires noninvasive techniques to serially monitor these changes in order to improve outcome. We review the role of vascular magnetic resonance imaging to measure tumor response to treatment and highlight opportunities and future avenues for expanding these promising techniques.
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10
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Perfusion MRI as the predictive/prognostic and pharmacodynamic biomarkers in recurrent malignant glioma treated with bevacizumab: a systematic review and a time-to-event meta-analysis. J Neurooncol 2016; 128:185-94. [PMID: 27108275 DOI: 10.1007/s11060-016-2102-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 03/04/2016] [Indexed: 12/15/2022]
Abstract
This study aims to evaluate the value of perfusion MRI as a predictive/prognostic biomarker and a pharmacodynamic biomarker in patients with recurrent glioma treated with a bevacizumab-based regimen. We identified thirteen literature reports that investigated dynamic susceptibility-contrast (DSC) MRI or dynamic contrast-enhanced (DCE) MRI for predicting the patient outcome and analyzing the anti-angiogenic effect of bevacizumab by performing a systematic search of MEDLINE and EMBASE. The relative cerebral volume (rCBV) of DSC-MRI is currently the most common perfusion MRI parameter used as a predictive/prognostic biomarker. Pooled hazard ratios between responders and non-responders, as determined by rCBV, were 0.46 (95 % CI 0.28-0.76) for progression-free survival from five articles with a total 226 patients and 0.47 (95 % CI 0.29-0.76) for overall survival from six articles with a total 247 patients, and thus indicating that rCBV is helpful for predicting disease progression and the eventual outcome after treatment. Regarding the pharmacodynamic value of perfusion MRI parameters derived from either DSC-MRI or DCE-MRI, most perfusion MRI parameters (rCBV, Ktrans, CBVmax, Kpsmax, fpv, Ve and Kep) demonstrated a consistent decrease on the follow-up MRI after treatment, indicating that perfusion MRI may be helpful for evaluating the anti-angiogenic effect of a bevacizumab-based treatment regimen. However, the lack of standardization of imaging acquisition and analysis techniques for various perfusion MRI parameters needs to be resolved in the future. Despite these unsolved issues, the current evidence favoring the use of perfusion MRI as a predictive/prognostic or pharmacodynamic biomarker should be considered in patients with glioma treated using a bevacizumab-based regimen.
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11
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Mohan S, Chawla S, Wang S, Verma G, Skolnik A, Brem S, Peters KB, Poptani H. Assessment of early response to tumor-treating fields in newly diagnosed glioblastoma using physiologic and metabolic MRI: initial experience. CNS Oncol 2016; 5:137-44. [PMID: 27076281 DOI: 10.2217/cns-2016-0003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Tumor-treating fields (TTFields) is a novel antimitotic treatment modality for patients with glioblastoma. To assess response to TTFields, a newly diagnosed patient with glioblastoma underwent diffusion, perfusion and 3D echo-planar spectroscopic imaging prior to initiation of TTFields plus temozolamide (baseline) and at 1- and 2-month follow-up periods. Increased mean diffusivity along with decreased fractional anisotropy and maximum relative cerebral blood volume were noted at 2 months relative to baseline suggesting inhibition of tumor growth and angiogenesis. Additionally, a reduction in choline/creatine was also noted during this period. These preliminary data indicate the potential of physiologic and metabolic MRI in assessing early treatment response to TTFields in combination with temozolamide.
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Affiliation(s)
- Suyash Mohan
- Departments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sanjeev Chawla
- Departments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sumei Wang
- Departments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Gaurav Verma
- Departments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Aaron Skolnik
- Departments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Steven Brem
- Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Katherine B Peters
- The Preston Robert Tisch Brain Tumor Center, Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - Harish Poptani
- Departments of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Department of Cellular & Molecular Physiology, University of Liverpool, Liverpool, UK
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12
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Wang S, Martinez-Lage M, Sakai Y, Chawla S, Kim SG, Alonso-Basanta M, Lustig RA, Brem S, Mohan S, Wolf RL, Desai A, Poptani H. Differentiating Tumor Progression from Pseudoprogression in Patients with Glioblastomas Using Diffusion Tensor Imaging and Dynamic Susceptibility Contrast MRI. AJNR Am J Neuroradiol 2015; 37:28-36. [PMID: 26450533 DOI: 10.3174/ajnr.a4474] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Accepted: 06/02/2015] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE Early assessment of treatment response is critical in patients with glioblastomas. A combination of DTI and DSC perfusion imaging parameters was evaluated to distinguish glioblastomas with true progression from mixed response and pseudoprogression. MATERIALS AND METHODS Forty-one patients with glioblastomas exhibiting enhancing lesions within 6 months after completion of chemoradiation therapy were retrospectively studied. All patients underwent surgery after MR imaging and were histologically classified as having true progression (>75% tumor), mixed response (25%-75% tumor), or pseudoprogression (<25% tumor). Mean diffusivity, fractional anisotropy, linear anisotropy coefficient, planar anisotropy coefficient, spheric anisotropy coefficient, and maximum relative cerebral blood volume values were measured from the enhancing tissue. A multivariate logistic regression analysis was used to determine the best model for classification of true progression from mixed response or pseudoprogression. RESULTS Significantly elevated maximum relative cerebral blood volume, fractional anisotropy, linear anisotropy coefficient, and planar anisotropy coefficient and decreased spheric anisotropy coefficient were observed in true progression compared with pseudoprogression (P < .05). There were also significant differences in maximum relative cerebral blood volume, fractional anisotropy, planar anisotropy coefficient, and spheric anisotropy coefficient measurements between mixed response and true progression groups. The best model to distinguish true progression from non-true progression (pseudoprogression and mixed) consisted of fractional anisotropy, linear anisotropy coefficient, and maximum relative cerebral blood volume, resulting in an area under the curve of 0.905. This model also differentiated true progression from mixed response with an area under the curve of 0.901. A combination of fractional anisotropy and maximum relative cerebral blood volume differentiated pseudoprogression from nonpseudoprogression (true progression and mixed) with an area under the curve of 0.807. CONCLUSIONS DTI and DSC perfusion imaging can improve accuracy in assessing treatment response and may aid in individualized treatment of patients with glioblastomas.
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Affiliation(s)
- S Wang
- From the Departments of Radiology (S.W., Y.S., S.M., R.L.W., H.P.)
| | - M Martinez-Lage
- Division of Neuroradiology, Pathology and Laboratory Medicine (M.M.-L.)
| | - Y Sakai
- From the Departments of Radiology (S.W., Y.S., S.M., R.L.W., H.P.)
| | - S Chawla
- Department of Radiology (S.C., S.G.K.), Center for Biomedical Imaging, New York University School of Medicine, New York, New York
| | - S G Kim
- Department of Radiology (S.C., S.G.K.), Center for Biomedical Imaging, New York University School of Medicine, New York, New York
| | | | | | | | - S Mohan
- From the Departments of Radiology (S.W., Y.S., S.M., R.L.W., H.P.)
| | - R L Wolf
- From the Departments of Radiology (S.W., Y.S., S.M., R.L.W., H.P.)
| | - A Desai
- Hematology-Oncology (A.D.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - H Poptani
- From the Departments of Radiology (S.W., Y.S., S.M., R.L.W., H.P.)
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13
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Carlsson SK, Brothers SP, Wahlestedt C. Emerging treatment strategies for glioblastoma multiforme. EMBO Mol Med 2015; 6:1359-70. [PMID: 25312641 PMCID: PMC4237465 DOI: 10.15252/emmm.201302627] [Citation(s) in RCA: 239] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Glioblastoma multiforme (GBM) is the deadliest form of brain tumor with a more than 90% 5-year mortality. GBM has a paltry median survival of 12.6 months attributed to the unique treatment limitations such as the high average age of onset, tumor location, and poor current understandings of the tumor pathophysiology. The resection techniques, chemotherapic strategies, and radiation therapy currently used to treat GBM have slowly evolved, but the improvements have not translated to marked increases in patient survival. Here, we will discuss the recent progress in our understanding of GBM pathophysiology, and the diagnostic techniques and treatment options. The discussion will include biomarkers, tumor imaging, novel therapies such as monoclonal antibodies and small-molecule inhibitors, and the heterogeneity resulting from the GBM cancer stem cell population.
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Affiliation(s)
- Steven K Carlsson
- Department of Psychiatry and Behavioral Sciences, Center for Therapeutic Innovation University of Miami Miller School of Medicine, Miami, FL, USA
| | - Shaun P Brothers
- Department of Psychiatry and Behavioral Sciences, Center for Therapeutic Innovation University of Miami Miller School of Medicine, Miami, FL, USA
| | - Claes Wahlestedt
- Department of Psychiatry and Behavioral Sciences, Center for Therapeutic Innovation University of Miami Miller School of Medicine, Miami, FL, USA
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14
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Lu-Emerson C, Duda DG, Emblem KE, Taylor JW, Gerstner ER, Loeffler JS, Batchelor TT, Jain RK. Lessons from anti-vascular endothelial growth factor and anti-vascular endothelial growth factor receptor trials in patients with glioblastoma. J Clin Oncol 2015; 33:1197-213. [PMID: 25713439 PMCID: PMC4517055 DOI: 10.1200/jco.2014.55.9575] [Citation(s) in RCA: 133] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Treatment of glioblastoma (GBM), the most common primary malignant brain tumor in adults, remains a significant unmet need in oncology. Historically, cytotoxic treatments provided little durable benefit, and tumors recurred within several months. This has spurred a substantial research effort to establish more effective therapies for both newly diagnosed and recurrent GBM. In this context, antiangiogenic therapy emerged as a promising treatment strategy because GBMs are highly vascular tumors. In particular, GBMs overexpress vascular endothelial growth factor (VEGF), a proangiogenic cytokine. Indeed, many studies have demonstrated promising radiographic response rates, delayed tumor progression, and a relatively safe profile for anti-VEGF agents. However, randomized phase III trials conducted to date have failed to show an overall survival benefit for antiangiogenic agents alone or in combination with chemoradiotherapy. These results indicate that antiangiogenic agents may not be beneficial in unselected populations of patients with GBM. Unfortunately, biomarker development has lagged behind in the process of drug development, and no validated biomarker exists for patient stratification. However, hypothesis-generating data from phase II trials that reveal an association between increased perfusion and/or oxygenation (ie, consequences of vascular normalization) and survival suggest that early imaging biomarkers could help identify the subset of patients who most likely will benefit from anti-VEGF agents. In this article, we discuss the lessons learned from the trials conducted to date and how we could potentially use recent advances in GBM biology and imaging to improve outcomes of patients with GBM who receive antiangiogenic therapy.
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Affiliation(s)
- Christine Lu-Emerson
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA
| | - Dan G Duda
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA
| | - Kyrre E Emblem
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA
| | - Jennie W Taylor
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA
| | - Elizabeth R Gerstner
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA
| | - Jay S Loeffler
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA
| | - Tracy T Batchelor
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA
| | - Rakesh K Jain
- All authors, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA.
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