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Everix L, Seane EN, Ebenhan T, Goethals I, Bolcaen J. Introducing HDAC-Targeting Radiopharmaceuticals for Glioblastoma Imaging and Therapy. Pharmaceuticals (Basel) 2023; 16:227. [PMID: 37259375 PMCID: PMC9967489 DOI: 10.3390/ph16020227] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 09/29/2023] Open
Abstract
Despite recent advances in multimodality therapy for glioblastoma (GB) incorporating surgery, radiotherapy, chemotherapy and targeted therapy, the overall prognosis remains poor. One of the interesting targets for GB therapy is the histone deacetylase family (HDAC). Due to their pleiotropic effects on, e.g., DNA repair, cell proliferation, differentiation, apoptosis and cell cycle, HDAC inhibitors have gained a lot of attention in the last decade as anti-cancer agents. Despite their known underlying mechanism, their therapeutic activity is not well-defined. In this review, an extensive overview is given of the current status of HDAC inhibitors for GB therapy, followed by an overview of current HDAC-targeting radiopharmaceuticals. Imaging HDAC expression or activity could provide key insights regarding the role of HDAC enzymes in gliomagenesis, thus identifying patients likely to benefit from HDACi-targeted therapy.
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Affiliation(s)
- Liesbeth Everix
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, 2610 Antwerpen, Belgium
| | - Elsie Neo Seane
- Department of Medical Imaging and Therapeutic Sciences, Cape Peninsula University of Technology, Cape Town 7530, South Africa
| | - Thomas Ebenhan
- Pre-Clinical Imaging Facility (PCIF), (NuMeRI) NPC, Pretoria 0001, South Africa
- Department of Science and Technology/Preclinical Drug Development Platform (PCDDP), North West University, Potchefstroom 2520, South Africa
- Nuclear Medicine, University of Pretoria, Pretoria 0001, South Africa
| | - Ingeborg Goethals
- Department of Nuclear Medicine, Ghent University Hospital, 9000 Ghent, Belgium
| | - Julie Bolcaen
- Radiation Biophysics Division, SSC laboratory, iThemba LABS, Cape Town 7131, South Africa
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Athira KV, Sadanandan P, Chakravarty S. Repurposing Vorinostat for the Treatment of Disorders Affecting Brain. Neuromolecular Med 2021; 23:449-465. [PMID: 33948878 DOI: 10.1007/s12017-021-08660-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 04/09/2021] [Indexed: 12/19/2022]
Abstract
Based on the findings in recent years, we summarize the therapeutic potential of vorinostat (VOR), the first approved histone deacetylase (HDAC) inhibitor, in disorders of brain, and strategies to improve drug efficacy and reduce side effects. Scientific evidences provide a strong case for the therapeutic utility of VOR in various disorders affecting brain, including stroke, Alzheimer's disease, frontotemporal dementia, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, spinal muscular atrophy, X-linked adrenoleukodystrophy, epilepsy, Niemann-Pick type C disease, and neuropsychiatric disorders. Further elucidation of the neuroprotective and neurorestorative properties of VOR using proper clinical study designs could provide momentum towards its clinical application. To improve the therapeutic prospect, concerns on systemic toxicity and off-target actions need to be addressed along with the improvement in formulation and delivery aspects, especially with respect to solubility, permeability, and pharmacokinetic properties. Newer approaches in this regard include poly(ethylene glycol)-b-poly(DL-lactic acid) micelles, VOR-pluronic F127 micelles, encapsulation of iron complexes of VOR into PEGylated liposomes, human serum albumin bound VOR nanomedicine, magnetically guided layer-by-layer assembled nanocarriers, as well as convection-enhanced delivery. Even though targeting specific class or isoform of HDAC is projected as advantageous over pan-HDAC inhibitor like VOR, in terms of adverse effects and efficacy, till clinical validation, the idea is debated. As the VOR treatment-related adverse changes are mostly found reversible, further optimization of the therapeutic strategies with respect to dose, dosage regimen, and formulations of VOR could propel its clinical prospects.
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Affiliation(s)
- K V Athira
- Department of Pharmacology, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Amrita Institute of Medical Sciences Health Sciences Campus, Kochi, 682 041, Kerala, India.
| | - Prashant Sadanandan
- Department of Pharmaceutical Chemistry & Analysis, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Amrita Institute of Medical Sciences Health Sciences Campus, Kochi, 682 041, Kerala, India
| | - Sumana Chakravarty
- Applied Biology Division, CSIR- Indian Institute of Chemical Technology, Tarnaka, Uppal Road, Hyderabad, 500007, Telangana, India.
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Farrell C, Shi W, Bodman A, Olson JJ. Congress of neurological surgeons systematic review and evidence-based guidelines update on the role of emerging developments in the management of newly diagnosed glioblastoma. J Neurooncol 2020; 150:269-359. [PMID: 33215345 DOI: 10.1007/s11060-020-03607-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 08/23/2020] [Indexed: 12/12/2022]
Abstract
TARGET POPULATION These recommendations apply to adult patients with newly diagnosed or suspected glioblastoma. IMAGING Question What imaging modalities are in development that may be able to provide improvements in diagnosis, and therapeutic guidance for individuals with newly diagnosed glioblastoma? RECOMMENDATION Level III: It is suggested that techniques utilizing magnetic resonance imaging for diffusion weighted imaging, and to measure cerebral blood and magnetic spectroscopic resonance imaging of N-acetyl aspartate, choline and the choline to N-acetyl aspartate index to assist in diagnosis and treatment planning in patients with newly diagnosed or suspected glioblastoma. SURGERY Question What new surgical techniques can be used to provide improved tumor definition and resectability to yield better tumor control and prognosis for individuals with newly diagnosed glioblastoma? RECOMMENDATIONS Level II: The use of 5-aminolevulinic acid is recommended to improve extent of tumor resection in patients with newly diagnosed glioblastoma. Level II: The use of 5-aminolevulinic acid is recommended to improve median survival and 2 year survival in newly diagnosed glioblastoma patients with clinical characteristics suggesting poor prognosis. Level III: It is suggested that, when available, patients be enrolled in properly designed clinical trials assessing the value of diffusion tensor imaging in improving the safety of patients with newly diagnosed glioblastoma undergoing surgery. NEUROPATHOLOGY Question What new pathology techniques and measurement of biomarkers in tumor tissue can be used to provide improved diagnostic ability, and determination of therapeutic responsiveness and prognosis for patients with newly diagnosed glioblastomas? RECOMMENDATIONS Level II: Assessment of tumor MGMT promoter methylation status is recommended as a significant predictor of a longer progression free survival and overall survival in patients with newly diagnosed with glioblastoma. Level II: Measurement of tumor expression of neuron-glia-2, neurofilament protein, glutamine synthetase and phosphorylated STAT3 is recommended as a predictor of overall survival in patients with newly diagnosed with glioblastoma. Level III: Assessment of tumor IDH1 mutation status is suggested as a predictor of longer progression free survival and overall survival in patients with newly diagnosed with glioblastoma. Level III: Evaluation of tumor expression of Phosphorylated Mitogen-Activated Protein Kinase protein, EGFR protein, and Insulin-like Growth Factor-Binding Protein-3 is suggested as a predictor of overall survival in patients with newly diagnosed with glioblastoma. RADIATION Question What radiation therapy techniques are in development that may be used to provide improved tumor control and prognosis for individuals with newly diagnosed glioblastomas? RECOMMENDATIONS Level III: It is suggested that patients with newly diagnosed glioblastoma undergo pretreatment radio-labeled amino acid tracer positron emission tomography to assess areas at risk for tumor recurrence to assist in radiation treatment planning. Level III: It is suggested that, when available, patients be with newly diagnosed glioblastomas be enrolled in properly designed clinical trials of radiation dose escalation, altered fractionation, or new radiation delivery techniques. CHEMOTHERAPY Question What emerging chemotherapeutic agents or techniques are available to provide better tumor control and prognosis for patients with newly diagnosed glioblastomas? RECOMMENDATION Level III: As no emerging chemotherapeutic agents or techniques were identified in this review that improved tumor control and prognosis it is suggested that, when available, patients with newly diagnosed glioblastomas be enrolled in properly designed clinical trials of chemotherapy. MOLECULAR AND TARGETED THERAPY Question What new targeted therapy agents are available to provide better tumor control and prognosis for individuals with newly diagnosed glioblastomas? RECOMMENDATION Level III: As no new molecular and targeted therapies have clearly provided better tumor control and prognosis it is suggested that, when available, patients with newly diagnosed glioblastomas be enrolled in properly designed clinical trials of molecular and targeted therapies IMMUNOTHERAPY: Question What emerging immunotherapeutic agents or techniques are available to provide better tumor control and prognosis for patients with newly diagnosed glioblastomas? RECOMMENDATION Level III: As no immunotherapeutic agents have clearly provided better tumor control and prognosis it is suggested that, when available, patients with newly diagnosed glioblastomas be enrolled in properly designed clinical trials of immunologically-based therapies. NOVEL THERAPIES Question What novel therapies or techniques are in development to provide better tumor control and prognosis for individuals with newly diagnosed glioblastomas? RECOMMENDATIONS Level II: The use of tumor-treating fields is recommended for patients with newly diagnosed glioblastoma who have undergone surgical debulking and completed concurrent chemoradiation without progression of disease at the time of tumor-treating field therapy initiation. Level II: It is suggested that, when available, enrollment in properly designed studies of vector containing herpes simplex thymidine kinase gene and prodrug therapies be considered in patients with newly diagnosed glioblastoma.
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Affiliation(s)
- Christopher Farrell
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Wenyin Shi
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA.
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Bolan PJ, Branzoli F, Di Stefano AL, Nichelli L, Valabregue R, Saunders SL, Akçakaya M, Sanson M, Lehéricy S, Marjańska M. Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2020; 12267:730-739. [PMID: 35005744 PMCID: PMC8735854 DOI: 10.1007/978-3-030-59728-3_71] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In vivo magnetic resonance spectroscopy (MRS) can provide clinically valuable metabolic information from brain tumors that can be used for prognosis and monitoring response to treatment. Unfortunately, this technique has not been widely adopted in clinical practice or even clinical trials due to the difficulty in acquiring and analyzing the data. In this work we propose a computational approach to solve one of the most critical technical challenges: the problem of quickly and accurately positioning an MRS volume of interest (a cuboid voxel) inside a tumor using MR images for guidance. The proposed automated method comprises a convolutional neural network to segment the lesion, followed by a discrete optimization to position an MRS voxel optimally within the lesion. In a retrospective comparison, the novel automated method is shown to provide improved lesion coverage compared to manual voxel placement.
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Affiliation(s)
- Patrick J Bolan
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis MN, USA
| | - Francesca Branzoli
- Institut du Cerveau - ICM, Centre de NeuroImagerie de Recherche - CENIR, Paris, France
- Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Paris, France
| | - Anna Luisa Di Stefano
- Hôpital de la Pitié-Salpêtrière, Service de Neurologie 2, Paris, France
- Department of Neurology, Foch Hospital, Suresnes, Paris, France
| | - Lucia Nichelli
- Institut du Cerveau - ICM, Centre de NeuroImagerie de Recherche - CENIR, Paris, France
- Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Paris, France
| | - Romain Valabregue
- Institut du Cerveau - ICM, Centre de NeuroImagerie de Recherche - CENIR, Paris, France
- Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Paris, France
| | - Sara L Saunders
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis MN, USA
| | - Mehmet Akçakaya
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis MN, USA
- Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis MN, USA
| | - Marc Sanson
- Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Paris, France
- Hôpital de la Pitié-Salpêtrière, Service de Neurologie 2, Paris, France
- Onconeurotek tumor bank, Institut du Cerveau et de la Moelle épinère - ICM, Paris, France
| | - Stéphane Lehéricy
- Institut du Cerveau - ICM, Centre de NeuroImagerie de Recherche - CENIR, Paris, France
- Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Paris, France
| | - Małgorzata Marjańska
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis MN, USA
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Lee BY, Zhu XH, Chen W. Quantitative analysis of spatial averaging effect on chemical shift imaging SNR and noise coherence with k-space sampling schemes. Magn Reson Imaging 2019; 60:85-92. [PMID: 30943436 DOI: 10.1016/j.mri.2019.03.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 03/25/2019] [Accepted: 03/27/2019] [Indexed: 01/19/2023]
Abstract
Spatial averaging of multiple voxels from high-resolution chemical shift imaging (hrCSI) is a common strategy for in vivo metabolic studies to achieve a better signal-to-noise ratio (SNR) for a region-of-interest. However, the mechanism about how the spatial averaging approach influences the respective spectral signal and noise and its relevance to the k-space sampling schemes remains unclear. Using three-dimension 17O CSI technique with the weighted k-space sampling method of Fourier series window, we performed quantitative SNR comparisons between a single low-resolution CSI (lrCSI) voxel (being 27 times larger than the hrCSI voxel size) and the spatially averaged hrCSI voxels with matched sampling volume and location. We demonstrated that the averaged hrCSI voxel spectrum had a large SNR loss (> 4 times) compared to the lrCSI voxel, which was resulted from unmatched increases in signal (~1.9 fold) and noise (~9.3 fold). The signal increase was caused by the spatial overlapping between the adjacent hrCSI voxels. The substantial noise increase was mainly attributed to the strong noise coherence among hrCSI voxels acquired with the weighted k-space sampling. This study presents a quantitative relation between the k-space sampling schemes to an apparent SNR penalty of the spatial averaging approach. The information could be useful for designing CSI acquisition method and determination of optimal spatial resolution for in vivo metabolic imaging studies.
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Affiliation(s)
- Byeong-Yeul Lee
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, MN, USA.
| | - Xiao-Hong Zhu
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, MN, USA
| | - Wei Chen
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, MN, USA.
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Davis ME, Bossert D, Manne M. Toward Precision Medicine: Promising Areas of Research in Glioma. Semin Oncol Nurs 2018; 34:569-572. [PMID: 30409552 DOI: 10.1016/j.soncn.2018.10.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To present and describe three emerging areas of glioma research: volumetric imaging analysis, molecular profiling, and the use of liquid biopsies. DATA SOURCES Published manuscripts and textbook chapters. CONCLUSION As new imaging and molecular technologies for the patient with glioma become main-stream, precise care can be individualized and personalized. IMPLICATIONS FOR NURSING PRACTICE Oncology nurses caring for patients with gliomas can gain knowledge of emerging research and help increase accessibility to this technology by referring patients to clinical trials that apply this technology.
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Ljubimova JY, Sun T, Mashouf L, Ljubimov AV, Israel LL, Ljubimov VA, Falahatian V, Holler E. Covalent nano delivery systems for selective imaging and treatment of brain tumors. Adv Drug Deliv Rev 2017; 113:177-200. [PMID: 28606739 PMCID: PMC5578712 DOI: 10.1016/j.addr.2017.06.002] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 06/07/2017] [Indexed: 02/06/2023]
Abstract
Nanomedicine is a rapidly evolving form of therapy that holds a great promise for superior drug delivery efficiency and therapeutic efficacy than conventional cancer treatment. In this review, we attempt to cover the benefits and the limitations of current nanomedicines with special attention to covalent nano conjugates for imaging and drug delivery in the brain. The improvement in brain tumor treatment remains dismal despite decades of efforts in drug development and patient care. One of the major obstacles in brain cancer treatment is the poor drug delivery efficiency owing to the unique blood-brain barrier (BBB) in the CNS. Although various anti-cancer agents are available to treat tumors outside of the CNS, the majority fails to cross the BBB. In this regard, nanomedicines have increasingly drawn attention due to their multi-functionality and versatility. Nano drugs can penetrate BBB and other biological barriers, and selectively accumulate in tumor cells, while concurrently decreasing systemic toxicity.
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Affiliation(s)
- Julia Y Ljubimova
- Nanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center, 8700 Beverly Blvd., AHSP, Los Angeles, CA 90048, USA.
| | - Tao Sun
- Nanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center, 8700 Beverly Blvd., AHSP, Los Angeles, CA 90048, USA
| | - Leila Mashouf
- Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA
| | - Alexander V Ljubimov
- Department of Biomedical Sciences, Board of Governors Regenerative Medicine Institute, Los Angeles, CA 90048, USA
| | - Liron L Israel
- Nanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center, 8700 Beverly Blvd., AHSP, Los Angeles, CA 90048, USA
| | - Vladimir A Ljubimov
- Department of Neurosurgery and Brain Repair, University of South Florida, 2 Tampa General Circle, Tampa, FL 33606, USA
| | - Vida Falahatian
- Duke University School of Medicine, Department of Biostatistics and Bioinformatics, Clinical Research Training Program (CRTP), 2424 Erwin Road, Suite 1102, Hock Plaza Box 2721, Durham, NC 27710, USA
| | - Eggehard Holler
- Nanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center, 8700 Beverly Blvd., AHSP, Los Angeles, CA 90048, USA; Institut für Biophysik und Physikalische Biochemie, Universität Regensburg, D-93040 Regensburg, Germany
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Nelson SJ, Li Y, Lupo JM, Olson M, Crane JC, Molinaro A, Roy R, Clarke J, Butowski N, Prados M, Cha S, Chang SM. Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab. J Neurooncol 2016; 130:171-179. [PMID: 27535746 PMCID: PMC5069332 DOI: 10.1007/s11060-016-2229-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Accepted: 07/31/2016] [Indexed: 10/26/2022]
Abstract
Interpretation of changes in the T1- and T2-weighted MR images from patients with newly diagnosed glioblastoma (GBM) treated with standard of care in conjunction with anti-angiogenic agents is complicated by pseudoprogression and pseudoresponse. The hypothesis being tested in this study was that 3D H-1 magnetic resonance spectroscopic imaging (MRSI) provides estimates of levels of choline, creatine, N-acetylaspartate (NAA), lactate and lipid that change in response to treatment and that metrics describing these characteristics are associated with survival. Thirty-one patients with newly diagnosed GBM and being treated with radiation therapy (RT), temozolomide, erlotinib and bevacizumab were recruited to receive serial MR scans that included 3-D lactate edited MRSI at baseline, mid-RT, post-RT and at specific follow-up time points. The data were processed to provide estimates of metrics representing changes in metabolite levels relative to normal appearing brain. Cox proportional hazards analysis was applied to examine the relationship of these parameters with progression free survival (PFS) and overall survival (OS). There were significant reductions in parameters that describe relative levels of choline to NAA and creatine, indicating that the treatment caused a decrease in tumor cellularity. Changes in the levels of lactate and lipid relative to the NAA from contralateral brain were consistent with vascular normalization. Metabolic parameters from the first serial follow-up scan were associated with PFS and OS, when accounting for age and extent of resection. Integrating metabolic parameters into the assessment of patients with newly diagnosed GBM receiving therapies that include anti-angiogenic agents may be helpful for tracking changes in tumor burden, resolving ambiguities in anatomic images caused by non-specific treatment effects and for predicting outcome.
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Affiliation(s)
- Sarah J Nelson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
- Department of Neurology, University of California, San Francisco, CA, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.
| | - Yan Li
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Janine M Lupo
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Marram Olson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Jason C Crane
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Annette Molinaro
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Ritu Roy
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Jennifer Clarke
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Nicholas Butowski
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Michael Prados
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
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