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Urcuyo JC, Curtin L, Langworthy JM, De Leon G, Anderies B, Singleton KW, Hawkins-Daarud A, Jackson PR, Bond KM, Ranjbar S, Lassiter-Morris Y, Clark-Swanson KR, Paulson LE, Sereduk C, Mrugala MM, Porter AB, Baxter L, Salomao M, Donev K, Hudson M, Meyer J, Zeeshan Q, Sattur M, Patra DP, Jones BA, Rahme RJ, Neal MT, Patel N, Kouloumberis P, Turkmani AH, Lyons M, Krishna C, Zimmerman RS, Bendok BR, Tran NL, Hu LS, Swanson KR. Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol. PLoS One 2023; 18:e0287767. [PMID: 38117803 PMCID: PMC10732423 DOI: 10.1371/journal.pone.0287767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 06/13/2023] [Indexed: 12/22/2023] Open
Abstract
Brain cancers pose a novel set of difficulties due to the limited accessibility of human brain tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging interpretation, yet the mapping between MRI features and underlying biology remains ambiguous. Standard (clinical) tissue sampling fails to capture the full heterogeneity of the disease. Biopsies are required to obtain a pathological diagnosis and are predominantly taken from the tumor core, which often has different traits to the surrounding invasive tumor that typically leads to recurrent disease. One approach to solving this issue is to characterize the spatial heterogeneity of molecular, genetic, and cellular features of glioma through the intraoperative collection of multiple image-localized biopsy samples paired with multi-parametric MRIs. We have adopted this approach and are currently actively enrolling patients for our 'Image-Based Mapping of Brain Tumors' study. Patients are eligible for this research study (IRB #16-002424) if they are 18 years or older and undergoing surgical intervention for a brain lesion. Once identified, candidate patients receive dynamic susceptibility contrast (DSC) perfusion MRI and diffusion tensor imaging (DTI), in addition to standard sequences (T1, T1Gd, T2, T2-FLAIR) at their presurgical scan. During surgery, sample anatomical locations are tracked using neuronavigation. The collected specimens from this research study are used to capture the intra-tumoral heterogeneity across brain tumors including quantification of genetic aberrations through whole-exome and RNA sequencing as well as other tissue analysis techniques. To date, these data (made available through a public portal) have been used to generate, test, and validate predictive regional maps of the spatial distribution of tumor cell density and/or treatment-related key genetic marker status to identify biopsy and/or treatment targets based on insight from the entire tumor makeup. This type of methodology, when delivered within clinically feasible time frames, has the potential to further inform medical decision-making by improving surgical intervention, radiation, and targeted drug therapy for patients with glioma.
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Affiliation(s)
- Javier C Urcuyo
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Lee Curtin
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Jazlynn M. Langworthy
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Gustavo De Leon
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Barrett Anderies
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Kyle W. Singleton
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Andrea Hawkins-Daarud
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Pamela R. Jackson
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Kamila M. Bond
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Sara Ranjbar
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Yvette Lassiter-Morris
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Kamala R. Clark-Swanson
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Lisa E. Paulson
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Chris Sereduk
- Department of Cancer Biology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Maciej M. Mrugala
- Department of Neurology, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Oncology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Alyx B. Porter
- Department of Neurology, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Oncology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Leslie Baxter
- Department of Neurophysiology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Marcela Salomao
- Department of Pathology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Kliment Donev
- Department of Pathology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Miles Hudson
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Jenna Meyer
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Qazi Zeeshan
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Mithun Sattur
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Devi P. Patra
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Breck A. Jones
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Rudy J. Rahme
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Matthew T. Neal
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Naresh Patel
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Pelagia Kouloumberis
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Ali H. Turkmani
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Mark Lyons
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Chandan Krishna
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Richard S. Zimmerman
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Bernard R. Bendok
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Nhan L. Tran
- Department of Cancer Biology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Leland S. Hu
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Kristin R. Swanson
- Mathematical NeuroOncology Lab, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Cancer Biology, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, United States of America
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A Systematic Review of Amino Acid PET Imaging in Adult-Type High-Grade Glioma Surgery: A Neurosurgeon's Perspective. Cancers (Basel) 2022; 15:cancers15010090. [PMID: 36612085 PMCID: PMC9817716 DOI: 10.3390/cancers15010090] [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: 09/30/2022] [Revised: 12/04/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022] Open
Abstract
Amino acid PET imaging has been used for a few years in the clinical and surgical management of gliomas with satisfactory results in diagnosis and grading for surgical and radiotherapy planning and to differentiate recurrences. Biological tumor volume (BTV) provides more meaningful information than standard MR imaging alone and often exceeds the boundary of the contrast-enhanced nodule seen in MRI. Since a gross total resection reflects the resection of the contrast-enhanced nodule and the majority of recurrences are at a tumor's margins, an integration of PET imaging during resection could increase PFS and OS. A systematic review of the literature searching for "PET" [All fields] AND "glioma" [All fields] AND "resection" [All fields] was performed in order to investigate the diffusion of integration of PET imaging in surgical practice. Integration in a neuronavigation system and intraoperative use of PET imaging in the primary diagnosis of adult high-grade gliomas were among the criteria for article selection. Only one study has satisfied the inclusion criteria, and a few more (13) have declared to use multimodal imaging techniques with the integration of PET imaging to intentionally perform a biopsy of the PET uptake area. Despite few pieces of evidence, targeting a biologically active area in addition to other tools, which can help intraoperatively the neurosurgeon to increase the amount of resected tumor, has the potential to provide incremental and complementary information in the management of brain gliomas. Since supramaximal resection based on the extent of MRI FLAIR hyperintensity resulted in an advantage in terms of PFS and OS, PET-based biological tumor volume, avoiding new neurological deficits, deserves further investigation.
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Borja AJ, Saini J, Raynor WY, Ayubcha C, Werner TJ, Alavi A, Revheim ME, Nagaraj C. Role of Molecular Imaging with PET/MR Imaging in the Diagnosis and Management of Brain Tumors. PET Clin 2022; 17:431-451. [PMID: 35662494 DOI: 10.1016/j.cpet.2022.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Gliomas are the most common primary brain tumors. Hybrid PET/MR imaging has revolutionized brain tumor imaging, allowing for noninvasive, simultaneous assessment of morphologic, functional, metabolic, and molecular parameters within the brain. Molecular information obtained from PET imaging may aid in the detection, classification, prognostication, and therapeutic decision making for gliomas. 18F-fluorodeoxyglucose (FDG) has been widely used in the setting of brain tumor imaging, and multiple techniques may be employed to optimize this methodology. More recently, a number of non-18F-FDG-PET radiotracers have been applied toward brain tumor imaging and are used in clinical practice.
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Affiliation(s)
- Austin J Borja
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Jitender Saini
- Department of Neuro Imaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Hosur Road, Bengaluru, Karnataka 560-029, India
| | - William Y Raynor
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Cyrus Ayubcha
- Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Mona-Elisabeth Revheim
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, Oslo 0372, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Problemveien 7, Oslo 0315, Norway
| | - Chandana Nagaraj
- Department of Neuro Imaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Hosur Road, Bengaluru, Karnataka 560-029, India.
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Jia H, Xie T. Tracers progress for positron emission tomography imaging of glial-related disease. J Biomed Res 2022; 36:321-335. [PMID: 36131689 PMCID: PMC9548440 DOI: 10.7555/jbr.36.20220017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Glial cells play an essential part in the neuron system. They can not only serve as structural blocks in the human brain but also participate in many biological processes. Extensive studies have shown that astrocytes and microglia play an important role in neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, as well as glioma, epilepsy, ischemic stroke, and infections. Positron emission tomography is a functional imaging technique providing molecular-level information before anatomic changes are visible and has been widely used in many above-mentioned diseases. In this review, we focus on the positron emission tomography tracers used in pathologies related to glial cells, such as glioma, Alzheimer's disease, and neuroinflammation.
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Affiliation(s)
- Haoran Jia
- Institute of Radiation Medicine, Fudan University, Shanghai 200032, China
| | - Tianwu Xie
- Institute of Radiation Medicine, Fudan University, Shanghai 200032, China
- Tianwu Xie, Institute of Radiation Medicine, Fudan University, 2094 Xietu Road, Shanghai 200032, China. Tel: +86-21-64048363, E-mail:
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Liao CY, Jen JH, Chen YW, Li CY, Wang LW, Liu RS, Huang WS, Lu CF. Comparison of Conventional and Radiomic Features between 18F-FBPA PET/CT and PET/MR. Biomolecules 2021; 11:1659. [PMID: 34827657 PMCID: PMC8615400 DOI: 10.3390/biom11111659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/03/2021] [Accepted: 11/05/2021] [Indexed: 12/12/2022] Open
Abstract
Boron-10-containing positron emission tomography (PET) radio-tracer, 18F-FBPA, has been used to evaluate the feasibility and treatment outcomes of Boron neutron capture therapy (BNCT). The clinical use of PET/MR is increasing and reveals its benefit in certain applications. However, the PET/CT is still the most widely used modality for daily PET practice due to its high quantitative accuracy and relatively low cost. Considering the different attenuation correction maps between PET/CT and PET/MR, comparison of derived image features from these two modalities is critical to identify quantitative imaging biomarkers for diagnosis and prognosis. This study aimed to investigate the comparability of image features extracted from 18F-FBPA PET/CT and PET/MR. A total of 15 patients with malignant brain tumor who underwent 18F-FBPA examinations using both PET/CT and PET/MR on the same day were retrospectively analyzed. Overall, four conventional imaging characteristics and 449 radiomic features were calculated from PET/CT and PET/MR, respectively. A linear regression model and intraclass correlation coefficient (ICC) were estimated to evaluate the comparability of derived features between two modalities. Features were classified into strong, moderate, and weak comparability based on coefficient of determination (r2) and ICC. All of the conventional features, 81.2% of histogram, 37.5% of geometry, 51.5% of texture, and 25% of wavelet-based features, showed strong comparability between PET/CT and PET/MR. With regard to the wavelet filtering, radiomic features without filtering (61.2%) or with low-pass filtering (59.2%) along three axes produced strong comparability between the two modalities. However, only 8.2% of the features with high-pass filtering showed strong comparability. The linear regression models were provided for the features with strong and moderate consensus to interchange the quantitative features between the PET/CT and the PET/MR. All of the conventional and 71% of the radiomic (mostly histogram and texture) features were sufficiently stable and could be interchanged between 18F-FBPA PET with different hybrid modalities using the proposed equations. Our findings suggested that the image features high interchangeability may facilitate future studies in comparing PET/CT and PET/MR.
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Affiliation(s)
- Chien-Yi Liao
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan; (C.-Y.L.); (J.-H.J.)
| | - Jun-Hsuang Jen
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan; (C.-Y.L.); (J.-H.J.)
| | - Yi-Wei Chen
- Department of Radiation Oncology, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.-W.C.); (L.-W.W.)
| | - Chien-Ying Li
- Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan;
| | - Ling-Wei Wang
- Department of Radiation Oncology, Taipei Veterans General Hospital, Taipei 11217, Taiwan; (Y.-W.C.); (L.-W.W.)
| | - Ren-Shyan Liu
- Department of Nuclear Medicine, Cheng Hsin General Hospital, Taipei 11220, Taiwan;
| | - Wen-Sheng Huang
- Department of Nuclear Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan
| | - Chia-Feng Lu
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan; (C.-Y.L.); (J.-H.J.)
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Waqar M, Lewis D, Agushi E, Gittins M, Jackson A, Coope D. Cerebral and tumoral blood flow in adult gliomas: a systematic review of results from magnetic resonance imaging. Br J Radiol 2021; 94:20201450. [PMID: 34106749 PMCID: PMC9327770 DOI: 10.1259/bjr.20201450] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Objective: Blood flow is the rate of blood movement and relevant to numerous processes, though understudied in gliomas. The aim of this review was to pool blood flow metrics obtained from MRI modalities in adult supratentorial gliomas. Methods: MEDLINE, EMBASE and the Cochrane database were queried 01/01/2000–31/12/2019. Studies measuring blood flow in adult Grade II–IV supratentorial gliomas using dynamic susceptibility contrast (DSC) MRI, dynamic contrast enhanced MRI (DCE-MRI) or arterial spin labelling (ASL) were included. Absolute and relative cerebral blood flow (CBF), peritumoral blood flow and tumoral blood flow (TBF) were reported. Results: 34 studies were included with 1415 patients and 1460 scans. The mean age was 52.4 ± 7.3 years. Most patients had glioblastoma (n = 880, 64.6%). The most common imaging modality was ASL (n = 765, 52.4%) followed by DSC (n = 538, 36.8%). Most studies were performed pre-operatively (n = 1268, 86.8%). With increasing glioma grade (II vs IV), TBF increased (70.8 vs 145.5 ml/100 g/min, p < 0.001) and CBF decreased (85.3 vs 49.6 ml/100 g/min, p < 0.001). In Grade IV gliomas, following treatment, CBF increased in ipsilateral (24.9 ± 1.2 vs 26.1 ± 0.0 ml/100 g/min, p < 0.001) and contralateral white matter (25.6 ± 0.2 vs 26.0± 0.0 ml/100 g/min, p < 0.001). Conclusion: Our findings demonstrate that increased mass effect from high-grade gliomas impairs blood flow within the surrounding brain that can improve with surgery. Advances in knowledge: This systematic review demonstrates how mass effect from brain tumours impairs blood flow in the surrounding brain parenchyma that can improve with treatment.
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Affiliation(s)
- Mueez Waqar
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre, Manchester, UK.,Department of Neurosurgery, Salford Royal NHS Foundation Trust, Salford, UK
| | - Daniel Lewis
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre, Manchester, UK.,Department of Neurosurgery, Salford Royal NHS Foundation Trust, Salford, UK
| | - Erjon Agushi
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre, Manchester, UK.,Department of Neurosurgery, Salford Royal NHS Foundation Trust, Salford, UK
| | - Matthew Gittins
- Department of Biostatistics, Division of Population Health, Health Services Research& Primary Care, The University of Manchester, Manchester, UK
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre, Manchester, UK.,Department of Neuroradiology, Salford Royal NHS Foundation Trust, Salford, UK
| | - David Coope
- Department of Neurosurgery, Salford Royal NHS Foundation Trust, Salford, UK.,Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, Manchester, UK
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Furtak J, Rakowska J, Szylberg T, Harat M, Małkowski B, Harat M. Glioma Biopsy Based on Hybrid Dual Time-Point FET-PET/MRI-A Proof of Concept Study. Front Neurol 2021; 12:634609. [PMID: 34046002 PMCID: PMC8144440 DOI: 10.3389/fneur.2021.634609] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 03/15/2021] [Indexed: 11/13/2022] Open
Abstract
Neuroimaging based on O-[2-(18F)fluoroethyl]-l-tyrosine (FET)-PET provides additional information on tumor grade and extent compared with MRI. Dynamic PET for biopsy target selection further improves results but is often clinically impractical. Static FET-PET performed at two time-points may be a good compromise, but data on this approach are limited. The aim of this study was to compare the histology of lesions obtained from two challenging glioma patients with targets selected based on hybrid dual time-point FET-PET/MRI. Five neuronavigated tumor biopsies were performed in two difficult cases of suspected glioma. Lesions with (T1-CE) and without contrast enhancement (T1 and T2-FLAIR) on MRI were selected. Dual time-point FET-PET imaging was performed 5–15 min (PET10) and 45–60 min (PET60) after radionuclide injection. The most informative FET-PET/MRI images were coregistered with MRI in time of biopsy planning. Five biopsy targets (three from high uptake and two from moderate uptake FET areas) thought to represent the most malignant sites and tumor extent were selected. Histopathological findings were compared with FET-PET and MRI images. Increased FET uptake in the area of non-CE locations on MRI correlated well with high-grade gliomas localized as far as 3 cm from T1-CE foci. Selecting a target in the motor cortex based on FET kinetics defined by dual time-point PET resulted in a grade IV diagnosis after previous negative biopsies based on MRI. An additional grade III diagnosis was obtained from an area of glioma infiltration with moderate FET uptake (between 1 and 1.25 SUV). These findings seem to show that dual time-point FET-PET-based biopsies can provide additional and clinically useful information for glioma diagnosis. Selection of targets based on dual time-point images may be useful for determining the most malignant tumor areas and may therefore be useful for resection and radiotherapy planning.
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Affiliation(s)
- Jacek Furtak
- Department of Neurosurgery, 10th Military Research Hospital, Bydgoszcz, Poland
| | - Józefina Rakowska
- Department of Neurosurgery, 10th Military Research Hospital, Bydgoszcz, Poland
| | - Tadeusz Szylberg
- Department of Pathomorphology, 10th Military Research Hospital, Bydgoszcz, Poland
| | - Marek Harat
- Department of Neurosurgery, 10th Military Research Hospital, Bydgoszcz, Poland.,Department of Neurosurgery and Neurology, Faculty of Health Sciences, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland
| | - Bogdan Małkowski
- Department of Positron Emission Tomography and Molecular Imaging, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.,Department of Nuclear Medicine, Franciszek Lukaszczyk Oncology Center, Bydgoszcz, Poland
| | - Maciej Harat
- Department of Oncology and Brachytherapy, Faculty of Medicine, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.,Department of Neurooncology and Radiosurgery, Franciszek Lukaszczyk Oncology Center, Bydgoszcz, Poland
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8
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The use of multiparametric 18F-fluoro-L-3,4-dihydroxy-phenylalanine PET/MRI in post-therapy assessment of patients with gliomas. Nucl Med Commun 2021; 41:517-525. [PMID: 32282634 DOI: 10.1097/mnm.0000000000001184] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE To determine the utility of F-fluoro-L-3,4-dihydroxy-phenylalanine (F-DOPA) PET/MRI versus cross-sectional MRI alone in glioma response assessment and identify whether the two techniques demonstrate different tumour features. METHODS F-DOPA PET/MRI studies from 40 patients were analysed. Quantitative PET parameters and conventional MRI features were recorded. Tumour volume was assessed on both PET and MRI. Using dynamic susceptibility contrast perfusion-weighted imaging, maps of cerebral blood flow (CBF) and cerebral blood volume (CBV) were obtained. Within volume of tumours of tumour features and normal-appearing white matter (NAWM) drawn on MRI, standardised uptake value (SUV)max, CBF and CBV were recorded. Presence of residual active tumour was assessed by qualitative visual assessment. Receiver operating characteristic analysis was performed univariately and on parameter combination to analyse ability to determine presence/absence of disease. Reference standard for presence of viable tissue was biopsy or clinical follow-up. RESULTS Median SUVmax was 3.4 for low-grade glioma (LGG) and 3.3 for high-grade glioma (HGG). There was a significant correlation between PWI parameters and WHO grade (P < 0.001), but no correlation with SUVmax. Median F-DOPA volume was 8216.88 mm for HGG and 6284.94 mm for LGG; MRI volume was 6316.57 mm and 5931.55 mm, respectively. SUVmax analysis distinguished enhancing and nonenhancing components from necrosis and NAWM and demonstrated active disease in nonenhancing regions. Visually, the modalities were concordant in 37 patients. Combining the multiparametric PET/MRI approach with all available data-enhanced detection of the presence of tumour (area under the curve 0.99, P < 0.01). CONCLUSION MRI and F-DOPA are complementary modalities for assessment of tumour burden. Matching F-DOPA and MRI in assessing residual tumour volume may better delineate the radiotherapy target volume.
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Bertuccio A, Elia A, Robba C, Scaglione G, Longo GP, Sgubin D, Vitali M, Barbanera A. Frameless Stereotactic Biopsy with DTI-Based Tractography Integration: How to Adjust the Trajectory-A Case Series. World Neurosurg 2020; 143:346-352. [PMID: 32791224 DOI: 10.1016/j.wneu.2020.08.041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND Frameless stereotactic biopsy represents a minimally invasive procedure used for the histopathological diagnosis of brain tumors or to safely approach deep-seated lesions near eloquent areas not amenable for classical neurosurgical procedures. Traditionally, biopsy is performed relying on anatomical landmarks, but it can lead itself to intra- and postoperative complications, such as hemorrhage and fiber disruption. Diffusion tensor imaging (DTI) tractography represents a useful tool that can analyze the individual fiber tract conformation in cases of brain tumor and consequently identify the best biopsy trajectory, preserving white matter pathways. In our study, we present a novel technique that is based on the use of preoperative DTI for biopsy. METHODS Between January 2018 and January 2020, data about patients who underwent frameless biopsy using DTI tractography were retrospectively reviewed. The inclusion criterion was adult patients eligible for elective surgery for a single or multiple deep-seated lesions with contraindications to complete surgical resection. RESULTS We included 12 patients (mean age of 67.9 [±9.6] years). A single cranial lesion was detected in 7 cases, and multiple lesions in 5 cases. The use of DTI enabled the identification of white matter pathways in all cases and adjustment of the biopsy trajectory based on anatomical landmarks in 7 cases. Postoperative hematoma was reported in 1 case, and histological diagnosis was obtained in 11 cases. CONCLUSION According to our results, tractography is a useful tool that can enhance the safety of cerebral lesions biopsy sparing any fiber tract damages.
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Affiliation(s)
- Alessandro Bertuccio
- Department of Neurosurgery, SS Antonio e Biagio e Cesare Arrigo Alessandria Hospital, Alessandria, Italy.
| | - Angela Elia
- Department of Neurosurgery, SS Antonio e Biagio e Cesare Arrigo Alessandria Hospital, Alessandria, Italy; Neurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia
| | - Chiara Robba
- Policlinico San Martino, IRCCS for Oncology and Neuroscience, Genova, Italy
| | - Giorgio Scaglione
- Department of Neurosurgery, SS Antonio e Biagio e Cesare Arrigo Alessandria Hospital, Alessandria, Italy; Department of Neurosurgery, Azienda Ospedaliera Univeristaria Pisana, Pisa, Italy
| | - Gian Paolo Longo
- Department of Neurosurgery, SS Antonio e Biagio e Cesare Arrigo Alessandria Hospital, Alessandria, Italy
| | - Donatella Sgubin
- Department of Neurosurgery, SS Antonio e Biagio e Cesare Arrigo Alessandria Hospital, Alessandria, Italy
| | - Matteo Vitali
- Department of Neurosurgery, SS Antonio e Biagio e Cesare Arrigo Alessandria Hospital, Alessandria, Italy
| | - Andrea Barbanera
- Department of Neurosurgery, SS Antonio e Biagio e Cesare Arrigo Alessandria Hospital, Alessandria, Italy
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10
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Qin J, Li Y, Liang D, Zhang Y, Yao W. Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis. Medicine (Baltimore) 2019; 98:e17515. [PMID: 31626111 PMCID: PMC6824738 DOI: 10.1097/md.0000000000017515] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 to June 2018, 24 patients with GBM and 18 patients with sBM were included in this retrospective study. The enhancing area was first segmented on the post-contrast T1WI, then the segmentation was copied to the absolute CBV map and histogram analysis was finally performed. Unpaired t test was used to select the features that could separate two entities and receiving operating curve was used to test the diagnostic performance. Finally, a machine learning method was used to test the diagnostic performance combing all the selected features.Six of 19 features were feasible to distinguish GBM from sBM (all P < .001), among which energy had the highest diagnostic performance (area under curve, 0.84; accuracy, 88%), while a machine learning method could improve the diagnostic performance (area under curve, 0.94; accuracy, 95%).Histogram analysis of the absolute CBV in the enhancing area could help us distinguish GBM from sBM, in addition, a machine learning method with combined features is preferable. It is quite helpful in the condition that the biological nature of peritumoral edema could not separate these two entities.
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Affiliation(s)
- Jianhua Qin
- School of Medicine, Qingdao University, Qingdao
- Department of Radiology, Rizhao Central Hospital, Rizhao, P. R. China
| | | | - Donghai Liang
- Department of Radiology, Rizhao Central Hospital, Rizhao, P. R. China
| | - Yuanna Zhang
- Department of Radiology, Rizhao Central Hospital, Rizhao, P. R. China
| | - Weicheng Yao
- Department of Neurosurgery, The Affiliated Hospital of Qingdao University, China
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11
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Jin T, Ren Y, Zhang H, Xie Q, Yao Z, Feng X. Application of MRS- and ASL-guided navigation for biopsy of intracranial tumors. Acta Radiol 2019; 60:374-381. [PMID: 29958510 DOI: 10.1177/0284185118780906] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The diagnosis of a tumor depends on accurate identification of the target area for biopsy. However, tumor heterogeneity and the inability of conventional structural data for identifying the most malignant areas can reduce this accuracy. PURPOSE To evaluate the feasibility and practicality of magnetic resonance spectroscopy (MRS)- and arterial spin labeling (ASL)-guided MRI navigation for needle biopsy of intracranial tumors. MATERIAL AND METHODS Thirty patients with intracranial tumors who underwent intraoperative stereotactic biopsy were retrospectively analyzed. Contrast-enhanced 3D-BRAVO or 3D-T2FLAIR structural data, combined with MRS and ASL data, were used to identify the target area for biopsy. High-choline or high-perfusion sites were chosen preferentially, and then the puncture trajectory was optimized to obtain specimens for histopathologic examination. RESULTS Twenty-two specimens were collected from 20 glioma patients (two specimens each were collected from two patients) and ten specimens were collected from ten lymphoma patients. The diagnosis rate after the biopsy was 93.3% (28/30). Two gliomas were initially diagnosed as gliosis and subsequently diagnosed correctly after the collection of a second biopsy specimen. Combined MRS and ASL helped target selection in 23 cases (76.7%), including three cases each of low-enhancing and non-enhancing gliomas. In two cases, the target selection decision was changed because the areas initially chosen on the basis of positron emission tomography data did not match the high-perfusion areas identified with ASL. CONCLUSION Compared with conventional MRI, combined MRS and ASL improved the accuracy of target selection for the stereotactic biopsy of intracranial tumors.
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Affiliation(s)
- Teng Jin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Yan Ren
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Hua Zhang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Qian Xie
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Zhenwei Yao
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Xiaoyuan Feng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, PR China
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12
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Sarkaria JN, Hu LS, Parney IF, Pafundi DH, Brinkmann DH, Laack NN, Giannini C, Burns TC, Kizilbash SH, Laramy JK, Swanson KR, Kaufmann TJ, Brown PD, Agar NYR, Galanis E, Buckner JC, Elmquist WF. Is the blood-brain barrier really disrupted in all glioblastomas? A critical assessment of existing clinical data. Neuro Oncol 2019; 20:184-191. [PMID: 29016900 DOI: 10.1093/neuonc/nox175] [Citation(s) in RCA: 400] [Impact Index Per Article: 80.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The blood-brain barrier (BBB) excludes the vast majority of cancer therapeutics from normal brain. However, the importance of the BBB in limiting drug delivery and efficacy is controversial in high-grade brain tumors, such as glioblastoma (GBM). The accumulation of normally brain impenetrant radiographic contrast material in essentially all GBM has popularized a belief that the BBB is uniformly disrupted in all GBM patients so that consideration of drug distribution across the BBB is not relevant in designing therapies for GBM. However, contrary to this view, overwhelming clinical evidence demonstrates that there is also a clinically significant tumor burden with an intact BBB in all GBM, and there is little doubt that drugs with poor BBB permeability do not provide therapeutically effective drug exposures to this fraction of tumor cells. This review provides an overview of the clinical literature to support a central hypothesis: that all GBM patients have tumor regions with an intact BBB, and cure for GBM will only be possible if these regions of tumor are adequately treated.
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Affiliation(s)
- Jann N Sarkaria
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Leland S Hu
- Mayo Clinic, Scottsdale, Arizona (L.S.H., K.R.S.)
| | - Ian F Parney
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Deanna H Pafundi
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Debra H Brinkmann
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Nadia N Laack
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Caterina Giannini
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Terence C Burns
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Sani H Kizilbash
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Janice K Laramy
- University of Minnesota, Minneapolis, Minnesota (J.K.L., W.F.E.)
| | | | - Timothy J Kaufmann
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Paul D Brown
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | | | - Evanthia Galanis
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - Jan C Buckner
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
| | - William F Elmquist
- Mayo Clinic, Rochester, Minnesota (J.N.S., I.F.P., D.H.P., D.H.B., N.N.L., C.G., T.C.B., S.H.K., T.J.K., P.D.B., E.G., J.C.B.)
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13
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Overview and Critical Appraisal of Arterial Spin Labelling Technique in Brain Perfusion Imaging. CONTRAST MEDIA & MOLECULAR IMAGING 2018; 2018:5360375. [PMID: 29853806 PMCID: PMC5964483 DOI: 10.1155/2018/5360375] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 04/11/2018] [Indexed: 12/02/2022]
Abstract
Arterial spin labelling (ASL) allows absolute quantification of CBF via a diffusible intrinsic tracer (magnetically labelled blood water) that disperses from the vascular system into neighbouring tissue. Thus, it can provide absolute CBF quantification, which eliminates the need for the contrast agent, and can be performed repeatedly. This review will focus on the common ASL acquisition techniques (continuous, pulsed, and pseudocontinuous ASL) and how ASL image quality might be affected by intrinsic factors that may bias the CBF measurements. We also provide suggestions to mitigate these risks, model appropriately the acquired signal, increase the image quality, and hence estimate the reliability of the CBF, which consists an important noninvasive biomarker. Emerging methodologies for extraction of new ASL-based biomarkers, such as arterial arrival time (AAT) and arterial blood volume (aBV), will be also briefly discussed.
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14
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Diagnostic performance of apparent diffusion coefficient parameters for glioma grading. J Neurooncol 2018; 139:61-68. [PMID: 29574566 DOI: 10.1007/s11060-018-2841-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 03/20/2018] [Indexed: 10/17/2022]
Abstract
This study was to evaluate the diagnostic performance of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) parameters derived from diffusion tensor imaging in the differentiation between grade II and III gliomas. The records of 60 patients (30 women, 30 men; mean age, 45.4 years) suspected of having gliomas who underwent an ADC image-guided stereotactic biopsy were retrospectively reviewed. The values of FA and ADC were measured, and the sensitivity, specificity, accuracy and area under the curve (AUC) of those parameters were calculated based on the receiver operating characteristic curve analysis. A predictive diagnostic equation was also constructed and evaluated. Significant differences in minimum ADC values were found in the quantitative analysis between the grade III and II glioma groups. The sensitivity, specificity, positive predictive values (PPV), negative predictive values (NPV), accuracy and AUC for identifying grade III and II gliomas at the optimum cut-off value of 0.895 × 10-3 mm2/s of minimum ADC were 81.0, 89.1, 77.3, 91.1, 86.6 and 0.87, respectively. The predictive diagnostic equation was superior to the single minimum ADC indicator with a sensitivity of 90.5%, a specificity of 84.8%, a PPV of 73.1%, an NPV of 95.1%, and an accuracy of 86.6%, respectively. The study provides evidence that minimum ADC values have a superior diagnostic performance in differentiating grade III and II gliomas, and the predictive diagnostic equation may be helpful in the differentiation.
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15
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Thust SC, Heiland S, Falini A, Jäger HR, Waldman AD, Sundgren PC, Godi C, Katsaros VK, Ramos A, Bargallo N, Vernooij MW, Yousry T, Bendszus M, Smits M. Glioma imaging in Europe: A survey of 220 centres and recommendations for best clinical practice. Eur Radiol 2018. [PMID: 29536240 PMCID: PMC6028837 DOI: 10.1007/s00330-018-5314-5] [Citation(s) in RCA: 135] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Objectives At a European Society of Neuroradiology (ESNR) Annual Meeting 2015 workshop, commonalities in practice, current controversies and technical hurdles in glioma MRI were discussed. We aimed to formulate guidance on MRI of glioma and determine its feasibility, by seeking information on glioma imaging practices from the European Neuroradiology community. Methods Invitations to a structured survey were emailed to ESNR members (n=1,662) and associates (n=6,400), European national radiologists’ societies and distributed via social media. Results Responses were received from 220 institutions (59% academic). Conventional imaging protocols generally include T2w, T2-FLAIR, DWI, and pre- and post-contrast T1w. Perfusion MRI is used widely (85.5%), while spectroscopy seems reserved for specific indications. Reasons for omitting advanced imaging modalities include lack of facility/software, time constraints and no requests. Early postoperative MRI is routinely carried out by 74% within 24–72 h, but only 17% report a percent measure of resection. For follow-up, most sites (60%) issue qualitative reports, while 27% report an assessment according to the RANO criteria. A minority of sites use a reporting template (23%). Conclusion Clinical best practice recommendations for glioma imaging assessment are proposed and the current role of advanced MRI modalities in routine use is addressed. Key Points • We recommend the EORTC-NBTS protocol as the clinical standard glioma protocol. • Perfusion MRI is recommended for diagnosis and follow-up of glioma. • Use of advanced imaging could be promoted with increased education activities. • Most response assessment is currently performed qualitatively. • Reporting templates are not widely used, and could facilitate standardisation. Electronic supplementary material The online version of this article (10.1007/s00330-018-5314-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- S C Thust
- Lysholm Neuroradiology Department, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Brain Rehabilitation and Repair, UCL Institute of Neurology, London, UK
- Imaging Department, University College London Hospital, London, UK
| | - S Heiland
- Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany
| | - A Falini
- Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - H R Jäger
- Lysholm Neuroradiology Department, National Hospital for Neurology and Neurosurgery, London, UK
- Department of Brain Rehabilitation and Repair, UCL Institute of Neurology, London, UK
- Imaging Department, University College London Hospital, London, UK
| | - A D Waldman
- Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
| | - P C Sundgren
- Institution for Clinical Sciences/Radiology, Lund University, Lund, Sweden
- Centre for Imaging and Physiology, Skåne University hospital, Lund, Sweden
| | - C Godi
- Department of Neuroradiology, San Raffaele Scientific Institute, Milan, Italy
| | - V K Katsaros
- General Anti-Cancer and Oncological Hospital "Agios Savvas", Athens, Greece
- Central Clinic of Athens, Athens, Greece
- University of Athens, Athens, Greece
| | - A Ramos
- Hospital 12 de Octubre, Madrid, Spain
| | - N Bargallo
- Image Diagnostic Centre, Hospital Clinic de Barcelona, Barcelona, Spain
- Magnetic Resonance Core Facility, Institut per la Recerca Biomedica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - M W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - T Yousry
- Lysholm Neuroradiology Department, National Hospital for Neurology and Neurosurgery, London, UK
| | - M Bendszus
- Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany
| | - M Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
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16
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Thulborn KR. Quantitative sodium MR imaging: A review of its evolving role in medicine. Neuroimage 2018; 168:250-268. [PMID: 27890804 PMCID: PMC5443706 DOI: 10.1016/j.neuroimage.2016.11.056] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Revised: 10/23/2016] [Accepted: 11/22/2016] [Indexed: 12/26/2022] Open
Abstract
Sodium magnetic resonance (MR) imaging in humans has promised metabolic information that can improve medical management in important diseases. This technology has yet to find a role in clinical practice, lagging proton MR imaging by decades. This review covers the literature that demonstrates that this delay is explained by initial challenges of low sensitivity at low magnetic fields and the limited performance of gradients and electronics available in the 1980s. These constraints were removed by the introduction of 3T and now ultrahigh (≥7T) magnetic field scanners with superior gradients and electronics for proton MR imaging. New projection pulse sequence designs have greatly improved sodium acquisition efficiency. The increased field strength has provided the expected increased sensitivity to achieve resolutions acceptable for metabolic interpretation even in small target tissues. Consistency of quantification of the sodium MR image to provide metabolic parametric maps has been demonstrated by several different pulse sequences and calibration procedures. The vital roles of sodium ion in membrane transport and the extracellular matrix will be reviewed to indicate the broad opportunities that now exist for clinical sodium MR imaging. The final challenge is for the technology to be supplied on clinical ≥3T scanners.
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Affiliation(s)
- Keith R Thulborn
- Center for Magnetic Resonance Research, University of Illinois at Chicago, 1801 West Taylor Street, Chicago, IL 60612, United States.
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17
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Schmitz-Winnenthal FH, Hohmann N, Schmidt T, Podola L, Friedrich T, Lubenau H, Springer M, Wieckowski S, Breiner KM, Mikus G, Büchler MW, Keller AV, Koc R, Springfeld C, Knebel P, Bucur M, Grenacher L, Haefeli WE, Beckhove P. A phase 1 trial extension to assess immunologic efficacy and safety of prime-boost vaccination with VXM01, an oral T cell vaccine against VEGFR2, in patients with advanced pancreatic cancer. Oncoimmunology 2018; 7:e1303584. [PMID: 29632710 DOI: 10.1080/2162402x.2017.1303584] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 02/24/2017] [Accepted: 03/01/2017] [Indexed: 12/17/2022] Open
Abstract
VXM01 is a first-in-kind orally applied tumor vaccine based on live attenuated Salmonella typhi carrying an expression plasmid encoding VEGFR2, an antigen expressed on tumor vasculature and a stable and accessible target for anti-angiogenic intervention. A recent randomized, placebo-controlled, phase I dose-escalation trial in advanced pancreatic cancer patients demonstrated safety, immunogenicity and transient, T-cell response-related anti-angiogenic activity of four priming vaccinations applied within one week. We here evaluated whether monthly boost vaccinations are safe and can sustain increased frequencies of vaccine-specific T cells. Patients with advanced pancreatic cancer were randomly assigned at a ratio of 2:1 to priming with VXM01 followed by up to six monthly boost vaccinations, or placebo treatment. Vaccinations were applied orally at two alternative doses of either 106 colony-forming units (CFU) or 107 CFU, and concomitant treatment with standard-of-care gemcitabine during the priming phase, and any treatment thereafter, was allowed in the study. Immunomonitoring involved interferon-gamma (IFNγ) ELIspot analysis with long overlapping peptides spanning the entire VEGFR2 sequence. A total of 26 patients were treated. Treatment-related adverse events preferentially associated with VXM01 were decreases in lymphocyte numbers in the blood, increased frequencies of neutrophils and diarrhea. Eight out of 16 patients who received at least one boosting vaccination responded with pronounced, i.e. at least 3-fold, increase in VEGFR2-specific T cell response over baseline levels. In the VXM01 vaccination group, VEGFR2-specific T cells peaked preferentially during the boosting phase with an average 4-fold increase over baseline levels. In conclusion, prime/boost vaccination with VXM01 was safe and immunogenic and increased vaccine specific T cell responses compared with placebo treatment.
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Affiliation(s)
| | - Nicolas Hohmann
- Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Thomas Schmidt
- Department of General, Abdominal and Transplant Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Lilli Podola
- Regensburg Center for Interventional Immunology (RCI), University Hospital Regensburg, Regensburg, Germany.,Medical Oncology, National Center for Tumor Diseases, Heidelberg, Germany
| | - Tobias Friedrich
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | | | | | | | - Gerd Mikus
- Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Markus W Büchler
- Department of General, Abdominal and Transplant Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Ruhan Koc
- Department of General, Abdominal and Transplant Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Phillip Knebel
- Department of General, Abdominal and Transplant Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Mariana Bucur
- Regensburg Center for Interventional Immunology (RCI), University Hospital Regensburg, Regensburg, Germany
| | - Lars Grenacher
- Diagnostic Munich, Diagnostic Prevention and Imaging Center, Munich, Germany
| | - Walter E Haefeli
- Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Philipp Beckhove
- Regensburg Center for Interventional Immunology (RCI), University Hospital Regensburg, Regensburg, Germany.,Medical Oncology, National Center for Tumor Diseases, Heidelberg, Germany
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18
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Nikaki A, Angelidis G, Efthimiadou R, Tsougos I, Valotassiou V, Fountas K, Prasopoulos V, Georgoulias P. 18F-fluorothymidine PET imaging in gliomas: an update. Ann Nucl Med 2017; 31:495-505. [PMID: 28612247 PMCID: PMC5517561 DOI: 10.1007/s12149-017-1183-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 05/31/2017] [Indexed: 01/18/2023]
Abstract
Brain neoplasms constitute a group of tumors with discrete differentiation grades, and therefore, course of disease and prognosis. Magnetic resonance imaging (MRI) remains the gold standard method for the investigation of central nervous system tumors. However, MRI suffers certain limitations, especially if radiation therapy or chemotherapy has been previously applied. On the other hand, given the development of newer radiopharmaceuticals, positron emission tomography (PET) aims to a better investigation of brain tumors, assisting in the clinical management of the patients. In the present review, the potential contribution of radiolabeled fluorothymidine (FLT) imaging for the evaluation of brain tumors will be discussed. In particular, we will present the role of FLT-PET imaging in the depiction of well and poorly differentiated lesions, the assessment of patient prognosis and treatment response, and the recognition of disease recurrence. Moreover, related semi-quantitative and kinetic parameters will be discussed.
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Affiliation(s)
- Alexandra Nikaki
- Department of Clinical Physiology, KHSHP, 20 Ahvenistontie Str., 13530, Hämeenlinna, Finland.,Department of Nuclear Medicine, University Hospital of Larissa, Mezourlo, 41110, Larissa, Greece
| | - George Angelidis
- Department of Nuclear Medicine, University Hospital of Larissa, Mezourlo, 41110, Larissa, Greece
| | - Roxani Efthimiadou
- PET/CT Department, Hygeia Hospital, 4 Erythrou Stavrou Str., 15123, Athens, Greece
| | - Ioannis Tsougos
- Department of Nuclear Medicine, University Hospital of Larissa, Mezourlo, 41110, Larissa, Greece
| | - Varvara Valotassiou
- Department of Nuclear Medicine, University Hospital of Larissa, Mezourlo, 41110, Larissa, Greece
| | - Konstantinos Fountas
- Department of Neurosurgery, University Hospital of Larissa, Mezourlo, 41110, Larissa, Greece
| | - Vasileios Prasopoulos
- PET/CT Department, Hygeia Hospital, 4 Erythrou Stavrou Str., 15123, Athens, Greece.,Department of Nuclear Medicine, Hygeia Hospital, 4 Erythrou Stavrou Str., 15123, Athens, Greece
| | - Panagiotis Georgoulias
- Department of Nuclear Medicine, University Hospital of Larissa, Mezourlo, 41110, Larissa, Greece.
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19
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Keil VC, Mädler B, Gieseke J, Fimmers R, Hattingen E, Schild HH, Hadizadeh DR. Effects of arterial input function selection on kinetic parameters in brain dynamic contrast-enhanced MRI. Magn Reson Imaging 2017; 40:83-90. [PMID: 28438713 DOI: 10.1016/j.mri.2017.04.006] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Revised: 03/20/2017] [Accepted: 04/20/2017] [Indexed: 12/01/2022]
Abstract
PURPOSE Kinetic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) were suggested as a possible instrument for multi-parametric lesion characterization, but have not found their way into clinical practice yet due to inconsistent results. The quantification is heavily influenced by the definition of an appropriate arterial input functions (AIF). Regarding brain tumor DCE-MRI, there are currently several co-existing methods to determine the AIF frequently including different brain vessels as sources. This study quantitatively and qualitatively analyzes the impact of AIF source selection on kinetic parameters derived from commonly selected AIF source vessels compared to a population-based AIF model. MATERIAL AND METHODS 74 patients with brain lesions underwent 3D DCE-MRI. Kinetic parameters [transfer constants of contrast agent efflux and reflux Ktrans and kep and, their ratio, ve, that is used to measure extravascular-extracellular volume fraction and plasma volume fraction vp] were determined using extended Tofts model in 821 ROI from 4 AIF sources [the internal carotid artery (ICA), the closest artery to the lesion, the superior sagittal sinus (SSS), the population-based Parker model]. The effect of AIF source alteration on kinetic parameters was evaluated by tissue type selective intra-class correlation (ICC) and capacity to differentiate gliomas by WHO grade [area under the curve analysis (AUC)]. RESULTS Arterial AIF more often led to implausible ve >100% values (p<0.0001). AIF source alteration rendered different absolute kinetic parameters (p<0.0001), except for kep. ICC between kinetic parameters of different AIF sources and tissues were variable (0.08-0.87) and only consistent >0.5 between arterial AIF derived kinetic parameters. Differentiation between WHO III and II glioma was exclusively possible with vp derived from an AIF in the SSS (p=0.03; AUC 0.74). CONCLUSION The AIF source has a significant impact on absolute kinetic parameters in DCE-MRI, which limits the comparability of kinetic parameters derived from different AIF sources. The effect is also tissue-dependent. The SSS appears to be the best choice for AIF source vessel selection in brain tumor DCE-MRI as it exclusively allowed for WHO grades II/III and III/IV glioma distinction (by vp) and showed the least number of implausible ve values.
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Affiliation(s)
- Vera C Keil
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany.
| | - Burkhard Mädler
- Philips Healthcare, Röntgenstrasse 22, 22335 Hamburg, Germany.
| | - Jürgen Gieseke
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany; Philips Healthcare, Röntgenstrasse 22, 22335 Hamburg, Germany.
| | - Rolf Fimmers
- IMBIE (Statistics Department), University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany.
| | - Elke Hattingen
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany.
| | - Hans H Schild
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany.
| | - Dariusch R Hadizadeh
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53127 Bonn, Germany.
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20
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Keil VC, Pintea B, Gielen GH, Greschus S, Fimmers R, Gieseke J, Simon M, Schild HH, Hadizadeh DR. Biopsy targeting with dynamic contrast-enhanced versus standard neuronavigation MRI in glioma: a prospective double-blinded evaluation of selection benefits. J Neurooncol 2017; 133:155-163. [PMID: 28425048 DOI: 10.1007/s11060-017-2424-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 04/11/2017] [Indexed: 12/30/2022]
Abstract
Current biopsy planning based on contrast-enhanced T1W (CET1W) or FLAIR sequences frequently delivers biopsy samples that are not in concordance with the gross tumor diagnosis. This study investigates whether the quantitative information of transfer constant Ktrans maps derived from T1W dynamic contrast-enhanced MRI (DCE-MRI) can help enhance the quality of biopsy target selection in glioma. 28 patients with suspected glioma received MRI including DCE-MRI and a standard neuronavigation protocol of 3D FLAIR- and CET1W data sets (0.1 mmol/kg gadobutrol) at 3.0 T. After exclusion of five cases with no Ktrans-elevation, 2-6 biopsy targets were independently selected by a neurosurgeon (samples based on standard imaging) and a neuroradiologist (samples based on kinetic parameter Ktrans) per case and tissue samples corresponding to these targets were collected by a separate independent neurosurgeon. Standard technique and Ktrans-based samples were rated for diagnostic concordance with the gross tumor resection reference diagnosis (67 WHO IV; 24 WHO III and II) by a neuropathologist blinded for selection mode. Ktrans-based sample targets differed from standard technique sample targets in 90/91 cases. More Ktrans-based than standard imaging-based samples could be extracted. Diagnoses from Ktrans-based samples were more frequently concordant with the reference gross tumor diagnoses than those from standard imaging-based samples (WHO IV: 30/39 vs. 11/20; p = 0.08; WHO III/II: 12/13 vs. 6/11; p = 0.06). In 4/5 non-contrast-enhancing gliomas, Ktrans-based selection revealed significantly more accurate samples than standard technique sample-selection (10/12 vs. 2/8 samples; p = 0.02). If Ktrans elevation is present, Ktrans-based biopsy targeting provides significantly more diagnostic tissue samples in non-contrast-enhancing glioma than selection based on CET1W and FLAIR-weighted images alone.
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Affiliation(s)
- Vera C Keil
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany
| | - Bogdan Pintea
- Department of Neurosurgery, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany
| | - Gerrit H Gielen
- Department of Neuropathology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany
| | - Susanne Greschus
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany
| | - Rolf Fimmers
- University Hospital Bonn, IMBIE, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany
| | - Jürgen Gieseke
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany.,PHILIPS Healthcare, Lübeckertordamm 1-3, 20099, Hamburg, Germany
| | - Matthias Simon
- Department of Neurosurgery, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany.,Department of Neurosurgery, Ev. Krankenhaus Bielefeld, Kantensiek 11, 33617, Bielefeld, Germany
| | - Hans H Schild
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany
| | - Dariusch R Hadizadeh
- Department of Radiology, University Hospital Bonn, Sigmund-Freud-Strasse 25, 53105, Bonn, Germany.
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21
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Pyka T, Gempt J, Bette S, Ringel F, Förster S. Positron emission tomography and magnetic resonance spectroscopy in cerebral gliomas. Clin Transl Imaging 2017. [DOI: 10.1007/s40336-017-0222-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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22
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Kong L, Chen H, Yang Y, Chen L. A meta-analysis of arterial spin labelling perfusion values for the prediction of glioma grade. Clin Radiol 2016; 72:255-261. [PMID: 27932251 DOI: 10.1016/j.crad.2016.10.016] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Revised: 07/23/2016] [Accepted: 10/25/2016] [Indexed: 12/16/2022]
Abstract
AIM To investigate the ability of arterial spin labelling (ASL) perfusion parameters to distinguish high-grade from low-grade gliomas. MATERIALS AND METHODS The PubMed and EMBASE databases were systematically searched for relevant articles published up to September 2015. Studies that evaluated both high- and low-grade gliomas using ASL were included. The random effect model was used to calculate the standardised mean difference (SMD) of maximum mean absolute tumour blood flow values (aTBFmax, aTBFmean) and maximum mean relative tumour blood flow (rTBFmax, rTBFmean) between high- and low-grade gliomas. RESULTS Nine studies encompassing 305 patients with high- and low-grade gliomas, met all inclusion and exclusion criteria and were included in the study. Compared with low-grade gliomas, high-grade gliomas had a significant increase in all ASL perfusion values: aTBFmax (SMD=0.70, 95% confidence interval [CI]: 0.22-1.19, p=0.0046); aTBFmean (SMD=0.86, 95% CI: 0.2-1.52, p=0.01); rTBFmax (SMD=1.08, 95% CI: 0.54-1.63, p=0.0001) and rTBFmean (SMD=0.88, 95% CI: 0.35-1.4, p=0.0011). CONCLUSIONS The current study results indicate that tumour blood flow from ASL differs significantly with respect to the glioma grade. Despite some limitations, there is evidence that ASL may be useful to distinguish high- and low-grade gliomas. Further larger-scale studies are necessary to examine the utility of ASL to distinguish tumour grade.
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Affiliation(s)
- L Kong
- Department of Anesthesiology, Anhui Provincial Cancer Hospital, Hefei 230031, China
| | - H Chen
- Department of Anesthesiology, Nanjing General Hospital of Nanjing Military Command, Nanjing 210002, China
| | - Y Yang
- Department of Anesthesiology, Anhui Provincial Cancer Hospital, Hefei 230031, China
| | - L Chen
- Department of Anesthesiology, Anhui Provincial Cancer Hospital, Hefei 230031, China.
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23
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Lodge MA, Holdhoff M, Leal JP, Bag AK, Nabors LB, Mintz A, Lesser GJ, Mankoff DA, Desai AS, Mountz JM, Lieberman FS, Fisher JD, Desideri S, Ye X, Grossman SA, Schiff D, Wahl RL. Repeatability of 18F-FLT PET in a Multicenter Study of Patients with High-Grade Glioma. J Nucl Med 2016; 58:393-398. [PMID: 27688473 DOI: 10.2967/jnumed.116.178434] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 08/28/2016] [Indexed: 12/27/2022] Open
Abstract
Quantitative 3'-deoxy-3'-18F-fluorothymidine (18F-FLT) PET has potential as a noninvasive tumor biomarker for the objective assessment of response to treatment. To guide interpretation of these quantitative data, we evaluated the repeatability of 18F-FLT PET as part of a multicenter trial involving patients with high-grade glioma. Methods:18F-FLT PET was performed on 10 patients with recurrent high-grade glioma at 5 different institutions within the Adult Brain Tumor Consortium trial ABTC1101. Data were acquired according to a double baseline protocol in which PET examinations were repeated within 2 d of each other with no intervening treatment. On each of the 2 imaging days, dedicated brain PET was performed at 2 time points, 1 and 3 h after 18F-FLT administration. Tumor SUVs and related parameters were measured at a central laboratory using various volumes of interest: isocontour at 30% of the maximum pixel (SUVmean_30%), gradient-based segmentation (SUVmean_gradient), the maximum pixel (SUVmax), and a 1-mL sphere at the region of highest uptake (SUVpeak). Repeatability coefficients (RCs) were calculated from the relative differences between corresponding SUV measurements obtained on the 2 d. Results: RCs for tumor SUVs were 22.5% (SUVmean_30%), 23.8% (SUVmean_gradient), 23.2% (SUVmax), and 18.5% (SUVpeak) at 1 h after injection. Corresponding data at 3 h were 22.4%, 25.0%, 27.3%, and 23.6%. Normalizing the tumor SUV data with reference to a background region improved repeatability, and the most stable parameter was the tumor-to-background ratio derived using SUVpeak (RC, 16.5%). Conclusion: SUV quantification of 18F-FLT uptake in glioma had an RC in the range of 18%-24% when imaging began 1 h after 18F-FLT administration. The volume-of-interest methodology had a small but not negligible influence on repeatability, with the best performance obtained using SUVpeak Although changes in 18F-FLT SUV after treatment cannot be directly interpreted as a change in tumor proliferation, we have established ranges beyond which SUV differences are likely due to legitimate biologic effects.
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Affiliation(s)
- Martin A Lodge
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Matthias Holdhoff
- Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Jeffrey P Leal
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Asim K Bag
- University of Alabama, Birmingham, Alabama
| | | | - Akiva Mintz
- Wake Forest University School of Medicine, Winston Salem, North Carolina
| | - Glenn J Lesser
- Wake Forest University School of Medicine, Winston Salem, North Carolina
| | | | - Arati S Desai
- University of Pennsylvania, Philadelphia, Pennsylvania
| | - James M Mountz
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and
| | - Frank S Lieberman
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and
| | - Joy D Fisher
- Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Serena Desideri
- Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Xiaobu Ye
- Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Stuart A Grossman
- Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - David Schiff
- University of Virginia, Charlottesville, Virginia
| | - Richard L Wahl
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Brain Cancer Program, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
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24
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Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma. PLoS One 2016; 11:e0158887. [PMID: 27387822 PMCID: PMC4936699 DOI: 10.1371/journal.pone.0158887] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 06/23/2016] [Indexed: 01/03/2023] Open
Abstract
Objective Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma. Methods Fifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses. Results We found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10−3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162–25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy. Conclusions The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.
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25
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Ragel BT, Ryken TC, Kalkanis SN, Ziu M, Cahill D, Olson JJ. The role of biopsy in the management of patients with presumed diffuse low grade glioma: A systematic review and evidence-based clinical practice guideline. J Neurooncol 2015; 125:481-501. [PMID: 26530259 DOI: 10.1007/s11060-015-1866-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 07/27/2015] [Indexed: 10/22/2022]
Abstract
QUESTION What is the optimal role of biopsy in the initial management of presumptive low-grade glioma in adults? TARGET POPULATION Adult patients with imaging suggestive of a low-grade glioma. RECOMMENDATIONS LEVEL III Stereotactic biopsy is recommended when definitive surgical resection is limited by lesions that are deep-seated, not resectable, and/or located within eloquent cortex, or in patients unable to undergo craniotomy due to medical co-morbidities to obtain the critical tissue diagnosis needed for targeted treatment planning for patients with low-grade gliomas. QUESTION What is the best technique for brain biopsy? TARGET POPULATION Adult patients with imaging suggestive of a low-grade glioma. RECOMMENDATIONS LEVEL III Frameless and frame-based stereotactic brain biopsy for low-grade gliomas are recommended based on clinical circumstances as they provide similar diagnostic yield, diagnostic accuracy, morbidity, and mortality. It is recommended the surgeon consider advanced imaging techniques (e.g., perfusion, spectroscopy, metabolic studies) to target specific regions of interest to potentially improve diagnostic accuracy.
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Affiliation(s)
- Brian T Ragel
- Rebound Orthopedics and Neurosurgery, 200 NE Mother Joseph Place, Suite 210, Vancouver, WA, 98664, USA.
| | - Timothy C Ryken
- Department of Neurosurgery, University of Kansas Medical Center, Kansas City, KS, USA
| | - Steven N Kalkanis
- Department of Neurosurgery, Henry Ford Health System, Detroit, MI, USA
| | - Mateo Ziu
- Department of Neurosurgery, Seton Brain and Spine Institute, Austin, TX, USA
| | | | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA
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26
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Sauwen N, Sima DM, Van Cauter S, Veraart J, Leemans A, Maes F, Himmelreich U, Van Huffel S. Hierarchical non-negative matrix factorization to characterize brain tumor heterogeneity using multi-parametric MRI. NMR IN BIOMEDICINE 2015; 28:1599-1624. [PMID: 26458729 DOI: 10.1002/nbm.3413] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Revised: 08/17/2015] [Accepted: 08/24/2015] [Indexed: 06/05/2023]
Abstract
Tissue characterization in brain tumors and, in particular, in high-grade gliomas is challenging as a result of the co-existence of several intra-tumoral tissue types within the same region and the high spatial heterogeneity. This study presents a method for the detection of the relevant tumor substructures (i.e. viable tumor, necrosis and edema), which could be of added value for the diagnosis, treatment planning and follow-up of individual patients. Twenty-four patients with glioma [10 low-grade gliomas (LGGs), 14 high-grade gliomas (HGGs)] underwent a multi-parametric MRI (MP-MRI) scheme, including conventional MRI (cMRI), perfusion-weighted imaging (PWI), diffusion kurtosis imaging (DKI) and short-TE (1)H MRSI. MP-MRI parameters were derived: T2, T1 + contrast, fluid-attenuated inversion recovery (FLAIR), relative cerebral blood volume (rCBV), mean diffusivity (MD), fractional anisotropy (FA), mean kurtosis (MK) and the principal metabolites lipids (Lip), lactate (Lac), N-acetyl-aspartate (NAA), total choline (Cho), etc. Hierarchical non-negative matrix factorization (hNMF) was applied to the MP-MRI parameters, providing tissue characterization on a patient-by-patient and voxel-by-voxel basis. Tissue-specific patterns were obtained and the spatial distribution of each tissue type was visualized by means of abundance maps. Dice scores were calculated by comparing tissue segmentation derived from hNMF with the manual segmentation by a radiologist. Correlation coefficients were calculated between each pathologic tissue source and the average feature vector within the corresponding tissue region. For the patients with HGG, mean Dice scores of 78%, 85% and 83% were obtained for viable tumor, the tumor core and the complete tumor region. The mean correlation coefficients were 0.91 for tumor, 0.97 for necrosis and 0.96 for edema. For the patients with LGG, a mean Dice score of 85% and mean correlation coefficient of 0.95 were found for the tumor region. hNMF was also applied to reduced MRI datasets, showing the added value of individual MRI modalities.
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Affiliation(s)
- Nicolas Sauwen
- KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium
- iMinds Medical IT, Leuven, Belgium
| | - Diana M Sima
- KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium
- iMinds Medical IT, Leuven, Belgium
| | - Sofie Van Cauter
- Department of Radiology, University Hospitals of Leuven, Leuven, Belgium
| | - Jelle Veraart
- iMinds Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium
- Center for Biomedical Imaging, Department of Radiology, New York University Langone Medical Center, New York, NY, USA
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Frederik Maes
- iMinds Medical IT, Leuven, Belgium
- KU Leuven, Department of Electrical Engineering (ESAT), PSI Centre for Processing Speech and Images, Leuven, Belgium
| | - Uwe Himmelreich
- Biomedical MRI/MoSAIC, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Sabine Van Huffel
- KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Centre for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium
- iMinds Medical IT, Leuven, Belgium
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27
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Hu LS, Ning S, Eschbacher JM, Gaw N, Dueck AC, Smith KA, Nakaji P, Plasencia J, Ranjbar S, Price SJ, Tran N, Loftus J, Jenkins R, O’Neill BP, Elmquist W, Baxter LC, Gao F, Frakes D, Karis JP, Zwart C, Swanson KR, Sarkaria J, Wu T, Mitchell JR, Li J. Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. PLoS One 2015; 10:e0141506. [PMID: 26599106 PMCID: PMC4658019 DOI: 10.1371/journal.pone.0141506] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 10/08/2015] [Indexed: 01/14/2023] Open
Abstract
Background Genetic profiling represents the future of neuro-oncology but suffers from inadequate biopsies in heterogeneous tumors like Glioblastoma (GBM). Contrast-enhanced MRI (CE-MRI) targets enhancing core (ENH) but yields adequate tumor in only ~60% of cases. Further, CE-MRI poorly localizes infiltrative tumor within surrounding non-enhancing parenchyma, or brain-around-tumor (BAT), despite the importance of characterizing this tumor segment, which universally recurs. In this study, we use multiple texture analysis and machine learning (ML) algorithms to analyze multi-parametric MRI, and produce new images indicating tumor-rich targets in GBM. Methods We recruited primary GBM patients undergoing image-guided biopsies and acquired pre-operative MRI: CE-MRI, Dynamic-Susceptibility-weighted-Contrast-enhanced-MRI, and Diffusion Tensor Imaging. Following image coregistration and region of interest placement at biopsy locations, we compared MRI metrics and regional texture with histologic diagnoses of high- vs low-tumor content (≥80% vs <80% tumor nuclei) for corresponding samples. In a training set, we used three texture analysis algorithms and three ML methods to identify MRI-texture features that optimized model accuracy to distinguish tumor content. We confirmed model accuracy in a separate validation set. Results We collected 82 biopsies from 18 GBMs throughout ENH and BAT. The MRI-based model achieved 85% cross-validated accuracy to diagnose high- vs low-tumor in the training set (60 biopsies, 11 patients). The model achieved 81.8% accuracy in the validation set (22 biopsies, 7 patients). Conclusion Multi-parametric MRI and texture analysis can help characterize and visualize GBM’s spatial histologic heterogeneity to identify regional tumor-rich biopsy targets.
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Affiliation(s)
- Leland S. Hu
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, United States of America
- Department of Radiology, Barrow Neurological Institute, Phoenix, Arizona, United States of America
- * E-mail:
| | - Shuluo Ning
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
| | - Jennifer M. Eschbacher
- Department of Pathology, Barrow Neurological Institute, Phoenix, Arizona, United States of America
| | - Nathan Gaw
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
| | - Amylou C. Dueck
- Department of Biostatistics, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Kris A. Smith
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, United States of America
| | - Peter Nakaji
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, United States of America
| | - Jonathan Plasencia
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
| | - Sara Ranjbar
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Stephen J. Price
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Nhan Tran
- Department of Cancer and Cell Biology, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Joseph Loftus
- Department of Cancer and Cell Biology, Mayo Clinic, Scottsdale, AZ, United States of America
| | - Robert Jenkins
- Department of Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Brian P. O’Neill
- Department of Neuro-oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - William Elmquist
- Department of Pharmacology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Leslie C. Baxter
- Department of Radiology, Barrow Neurological Institute, Phoenix, Arizona, United States of America
| | - Fei Gao
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
| | - David Frakes
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
| | - John P. Karis
- Department of Radiology, Barrow Neurological Institute, Phoenix, Arizona, United States of America
| | - Christine Zwart
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Kristin R. Swanson
- Department of Neurosurgery, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Jann Sarkaria
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Teresa Wu
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, United States of America
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
| | - J. Ross Mitchell
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, United States of America
| | - Jing Li
- Department of Radiology, Mayo Clinic, Phoenix, Arizona, United States of America
- School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona, United States of America
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28
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Deike K, Wiestler B, Graf M, Reimer C, Floca RO, Bäumer P, Kickingereder P, Heiland S, Schlemmer HP, Wick W, Bendszus M, Radbruch A. Prognostic value of combined visualization of MR diffusion and perfusion maps in glioblastoma. J Neurooncol 2015; 126:463-72. [PMID: 26518541 DOI: 10.1007/s11060-015-1982-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 10/26/2015] [Indexed: 10/22/2022]
Abstract
We analyzed whether the combined visualization of decreased apparent diffusion coefficient (ADC) values and increased cerebral blood volume (CBV) in perfusion imaging can identify prognosis-related growth patterns in patients with newly diagnosed glioblastoma. Sixty-five consecutive patients were examined with diffusion and dynamic susceptibility-weighted contrast-enhanced perfusion weighted MRI. ADC and CBV maps were co-registered on the T1-w image and a region of interest (ROI) was manually delineated encompassing the enhancing lesion. Within this ROI pixels with ADC values <the 30th percentile (ADCmin), pixels with CBV values >the 70th percentile (CBVmax) and the intersection of pixels with ADCmin and CBVmax were automatically calculated and visualized. Initially, all tumors with a mean intersection greater than the upper quartile of the normally distributed mean intersection of all patients were subsumed to the first growth pattern termed big intersection (BI). Subsequently, the remaining tumors' growth patterns were categorized depending on the qualitative representation of ADCmin, CBVmax and their intersection. Log-rank test exposed a significantly longer overall survival of BI (n = 16) compared to non-BI group (n = 49) (p = 0.0057). Thirty-one, four and 14 patients of the non-BI group were classified as predominant ADC-, CBV- and mixed growth group, respectively. In a multivariate Cox regression model, the BI-, CBV- and mixed groups had significantly lower adjusted hazard ratios (p-value, α(Bonferroni) < 0.006) when compared to the reference group ADC: 0.29 (0.0027), 0.11 (0.038) and 0.33 (0.0059). Our study provides evidence that the combination of diffusion and perfusion imaging allows visualization of different glioblastoma growth patterns that are associated with prognosis. A possible biological hypothesis for this finding could be the interpretation of the ADCmin fraction as the invasion-front of tumor cells while the CBVmax fraction might represent the vascular rich tumor border that is "trailing behind" the invasion-front in the ADC group.
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Affiliation(s)
- Katerina Deike
- Neurological University Clinic, Department of Neuroradiology, University of Heidelberg Medical Center, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Benedikt Wiestler
- Department of Neurooncology, University of Heidelberg Medical Center, Heidelberg, Germany. .,DKTK, Clinical Cooperation Unit Neurooncology, German Cancer Research Center, DKFZ, Heidelberg, Germany.
| | - Markus Graf
- Department of Radiology, German Cancer Research Center, DKFZ, Heidelberg, Germany.
| | - Caroline Reimer
- Neurological University Clinic, Department of Neuroradiology, University of Heidelberg Medical Center, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Ralf O Floca
- Department of Radiology, German Cancer Research Center, DKFZ, Heidelberg, Germany.
| | - Philipp Bäumer
- Neurological University Clinic, Department of Neuroradiology, University of Heidelberg Medical Center, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Philipp Kickingereder
- Neurological University Clinic, Department of Neuroradiology, University of Heidelberg Medical Center, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Sabine Heiland
- Neurological University Clinic, Department of Neuroradiology, University of Heidelberg Medical Center, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | | | - Wolfgang Wick
- Department of Neurooncology, University of Heidelberg Medical Center, Heidelberg, Germany. .,DKTK, Clinical Cooperation Unit Neurooncology, German Cancer Research Center, DKFZ, Heidelberg, Germany.
| | - Martin Bendszus
- Neurological University Clinic, Department of Neuroradiology, University of Heidelberg Medical Center, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Alexander Radbruch
- Neurological University Clinic, Department of Neuroradiology, University of Heidelberg Medical Center, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany. .,Neurooncologic Imaging (E012), Department of Radiology, German Cancer Research Center, DKFZ, Heidelberg, Germany.
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Fink JR, Muzi M, Peck M, Krohn KA. Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging. J Nucl Med 2015; 56:1554-61. [PMID: 26294301 DOI: 10.2967/jnumed.113.131516] [Citation(s) in RCA: 102] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 08/18/2015] [Indexed: 01/16/2023] Open
Abstract
Standard MR imaging and CT are routinely used for anatomic diagnosis in brain tumors. Pretherapy planning and posttreatment response assessments rely heavily on gadolinium-enhanced MR imaging. Advanced MR imaging techniques and PET imaging offer physiologic, metabolic, or functional information about tumor biology that goes beyond the diagnostic yield of standard anatomic imaging. With the advent of combined PET/MR imaging scanners, we are entering an era wherein the relationships among different elements of tumor metabolism can be simultaneously explored through multimodality MR imaging and PET imaging. The purpose of this review is to provide a practical and clinically relevant overview of current anatomic and physiologic imaging of brain tumors as a foundation for further investigations, with a primary focus on MR imaging and PET techniques that have demonstrated utility in the current care of brain tumor patients.
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Affiliation(s)
- James R Fink
- Department of Radiology, University of Washington, Seattle, Washington
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, Washington
| | - Melinda Peck
- Department of Radiology, University of Washington, Seattle, Washington
| | - Kenneth A Krohn
- Department of Radiology, University of Washington, Seattle, Washington
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30
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Zhang J. How far is arterial spin labeling MRI from a clinical reality? Insights from arterial spin labeling comparative studies in Alzheimer's disease and other neurological disorders. J Magn Reson Imaging 2015; 43:1020-45. [PMID: 26250802 DOI: 10.1002/jmri.25022] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Revised: 07/16/2015] [Accepted: 07/19/2015] [Indexed: 12/26/2022] Open
Affiliation(s)
- Jing Zhang
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
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31
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Yeung TPC, Wang Y, He W, Urbini B, Gafà R, Ulazzi L, Yartsev S, Bauman G, Lee TY, Fainardi E. Survival prediction in high-grade gliomas using CT perfusion imaging. J Neurooncol 2015; 123:93-102. [PMID: 25862005 DOI: 10.1007/s11060-015-1766-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 04/02/2015] [Indexed: 11/24/2022]
Abstract
Patients with high-grade gliomas usually have heterogeneous response to surgery and chemoirradiation. The objectives of this study were (1) to evaluate serial changes in tumor volume and perfusion imaging parameters and (2) to determine the value of these data in predicting overall survival (OS). Twenty-nine patients with World Health Organization grades III and IV gliomas underwent magnetic resonance (MR) and computed tomography (CT) perfusion examinations before surgery, and 1, 3, 6, 9, and 12 months after radiotherapy. Serial measurements of tumor volumes and perfusion parameters were evaluated by receiver operating characteristic analysis, Cox proportional hazards regression, and Kaplan-Meier survival analysis to determine their values in predicting OS. Higher trends in blood flow (BF), blood volume (BV), and permeability-surface area product in the contrast-enhancing lesions (CEL) and the non-enhancing lesions (NEL) were found in patients with OS < 18 months compared to those with OS ≥ 18 months, and these values were significant at selected time points (P < 0.05). Only CT perfusion parameters yielded sensitivities and specificities of ≥ 70% in predicting 18 and 24 months OS. Pre-surgery BF in the NEL and BV in the CEL and NEL 3 months after radiotherapy had sensitivities and specificities >80% in predicting 24 months OS in patients with grade IV gliomas. Our study indicated that CT perfusion parameters were predictive of survival and could be useful in assessing early response and in selecting adjuvant treatment to prolong survival if verified in a larger cohort of patients.
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Schmitz-Winnenthal FH, Hohmann N, Niethammer AG, Friedrich T, Lubenau H, Springer M, Breiner KM, Mikus G, Weitz J, Ulrich A, Buechler MW, Pianka F, Klaiber U, Diener M, Leowardi C, Schimmack S, Sisic L, Keller AV, Koc R, Springfeld C, Knebel P, Schmidt T, Ge Y, Bucur M, Stamova S, Podola L, Haefeli WE, Grenacher L, Beckhove P. Anti-angiogenic activity of VXM01, an oral T-cell vaccine against VEGF receptor 2, in patients with advanced pancreatic cancer: A randomized, placebo-controlled, phase 1 trial. Oncoimmunology 2015; 4:e1001217. [PMID: 26137397 DOI: 10.1080/2162402x.2014.1001217] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 12/17/2014] [Accepted: 12/17/2014] [Indexed: 12/22/2022] Open
Abstract
VEGFR-2 is expressed on tumor vasculature and a target for anti-angiogenic intervention. VXM01 is a first in kind orally applied tumor vaccine based on live, attenuated Salmonella bacteria carrying an expression plasmid, encoding VEGFR-2. We here studied the safety, tolerability, T effector (Teff), T regulatory (Treg) and humoral responses to VEGFR2 and anti-angiogenic effects in advanced pancreatic cancer patients in a randomized, dose escalation phase I clinical trial. Results of the first 3 mo observation period are reported. Locally advanced or metastatic, pancreatic cancer patients were enrolled. In five escalating dose groups, 30 patients received VXM01 and 15 placebo on days 1, 3, 5, and 7. Treatment was well tolerated at all dose levels. No dose-limiting toxicities were observed. Salmonella excretion and salmonella-specific humoral immune responses occurred in the two highest dose groups. VEGFR2 specific Teff, but not Treg responses were overall increased in vaccinated patients. We furthermore observed a significant reduction of tumor perfusion after 38 d in vaccinated patients together with increased levels of serum biomarkers indicative of anti-angiogenic activity, VEGF-A, and collagen IV. Vaccine specific Teff responses significantly correlated with reductions of tumor perfusion and high levels of preexisting VEGFR2-specific Teff while those showing no antiangiogenic activity had low levels of preexisting VEGFR2 specific Teff, showed a transient early increase of VEGFR2-specific Treg and reduced levels of VEGFR2-specific Teff at later time points - pointing to the possibility that early anti-angiogenic activity might be based at least in part on specific reactivation of preexisting memory T cells.
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Affiliation(s)
| | - Nicolas Hohmann
- Clinical Pharmacology and Pharmacoepidemiology; University Clinics of Heidelberg ; Heidelberg, Germany
| | | | - Tobias Friedrich
- Diagnostic and Interventional Radiology; University Clinics of Heidelberg ; Heidelberg, Germany
| | | | | | | | - Gerd Mikus
- Clinical Pharmacology and Pharmacoepidemiology; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Jürgen Weitz
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Alexis Ulrich
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Markus W Buechler
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Frank Pianka
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Ulla Klaiber
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Markus Diener
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Christine Leowardi
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Simon Schimmack
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Leila Sisic
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Anne-Valerie Keller
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Ruhan Koc
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | | | - Philipp Knebel
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Thomas Schmidt
- General, Visceral and Transplantation Surgery; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Yingzi Ge
- Translational Immunology; National Center for Tumor Diseases ; Heidelberg, Germany
| | - Mariana Bucur
- Translational Immunology; National Center for Tumor Diseases ; Heidelberg, Germany
| | - Slava Stamova
- Translational Immunology; National Center for Tumor Diseases ; Heidelberg, Germany
| | - Lilli Podola
- Translational Immunology; National Center for Tumor Diseases ; Heidelberg, Germany
| | - Walter E Haefeli
- Clinical Pharmacology and Pharmacoepidemiology; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Lars Grenacher
- Diagnostic and Interventional Radiology; University Clinics of Heidelberg ; Heidelberg, Germany
| | - Philipp Beckhove
- Translational Immunology; National Center for Tumor Diseases ; Heidelberg, Germany
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Advances in Magnetic Resonance Imaging and Positron Emission Tomography Imaging for Grading and Molecular Characterization of Glioma. Semin Radiat Oncol 2015; 25:164-71. [PMID: 26050586 DOI: 10.1016/j.semradonc.2015.02.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
In recent years, the management of glioma has evolved significantly, reflecting our better understanding of the underlying mechanisms of tumor development, tumor progression, and treatment response. Glioma grade, along with a number of underlying molecular and genetic biomarkers, has been recognized as an important prognostic and predictive factor that can help guide the management of patients. This article highlights advances in magnetic resonance imaging (MRI), including diffusion-weighted imaging, diffusion tensor imaging, magnetic resonance spectroscopy, dynamic contrast-enhanced imaging, and perfusion MRI, as well as position emission tomography using various tracers including methyl-(11)C-l-methionine and O-(2-(18)F-fluoroethyl)-l-tyrosine. Use of multiparametric imaging data has improved the diagnostic strength of imaging, introduced the potential to noninvasively interrogate underlying molecular features of low-grade glioma and to guide local therapies such as surgery and radiotherapy.
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Qiao XJ, Ellingson BM, Kim HJ, Wang DJJ, Salamon N, Linetsky M, Sepahdari AR, Jiang B, Tian JJ, Esswein SR, Cloughesy TF, Lai A, Nghiemphu L, Pope WB. Arterial spin-labeling perfusion MRI stratifies progression-free survival and correlates with epidermal growth factor receptor status in glioblastoma. AJNR Am J Neuroradiol 2014; 36:672-7. [PMID: 25542879 DOI: 10.3174/ajnr.a4196] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Accepted: 09/27/2014] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Glioblastoma is a common primary brain tumor with a poor but variable prognosis. Our aim was to investigate the feasibility of MR perfusion imaging by using arterial spin-labeling for determining the prognosis of patients with glioblastoma. MATERIALS AND METHODS Pseudocontinuous arterial spin-labeling with 3D background-suppressed gradient and spin-echo was acquired before surgery on 53 patients subsequently diagnosed with glioblastoma. The calculated CBF color maps were visually evaluated by 3 independent readers blinded to patient history. Pathologic and survival data were correlated with CBF map findings. Arterial spin-labeling values in tumor tissue were also quantified by using manual fixed-size ROIs. RESULTS Two perfusion patterns were characterized by visual evaluation of CBF maps on the basis of either the presence (pattern 1) or absence (pattern 2) of substantial hyperperfused tumor tissue. Evaluation of the perfusion patterns was highly concordant among the 3 readers (κ = 0.898, P < .001). Pattern 1 (versus pattern 2) was associated with significantly shorter progression-free survival by Kaplan-Meier analysis (median progression-free survival of 182 days versus 485 days, P < .01) and trended with shorter overall survival (P = .079). There was a significant association between pattern 1 and epidermal growth factor receptor variant III expression (P < .01). CONCLUSIONS Qualitative evaluation of arterial spin-labeling CBF maps can be used to stratify survival and predict epidermal growth factor receptor variant III expression in patients with glioblastoma.
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Affiliation(s)
- X J Qiao
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - B M Ellingson
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - H J Kim
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - D J J Wang
- Neurology (D.J.J.W., T.F.C., A.L., L.N.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - N Salamon
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - M Linetsky
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - A R Sepahdari
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - B Jiang
- Department of Radiology (B.J.), Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - J J Tian
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - S R Esswein
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
| | - T F Cloughesy
- Neurology (D.J.J.W., T.F.C., A.L., L.N.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - A Lai
- Neurology (D.J.J.W., T.F.C., A.L., L.N.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - L Nghiemphu
- Neurology (D.J.J.W., T.F.C., A.L., L.N.), David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
| | - W B Pope
- From the Departments of Radiological Sciences (X.J.Q., B.M.E., H.J.K., N.S., M.L., A.R.S., J.J.T., S.R.E., W.B.P.)
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Bernstein JM, Homer JJ, West CM. Dynamic contrast-enhanced magnetic resonance imaging biomarkers in head and neck cancer: Potential to guide treatment? A systematic review. Oral Oncol 2014; 50:963-70. [PMID: 25116700 DOI: 10.1016/j.oraloncology.2014.07.011] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 07/22/2014] [Indexed: 11/16/2022]
Affiliation(s)
- Jonathan M Bernstein
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Royal Infirmary, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK; (b)Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, Wilmslow Road, Withington, Manchester M20 4BX, UK.
| | - Jarrod J Homer
- University Department of Otolaryngology - Head & Neck Surgery, Manchester Royal Infirmary, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK.
| | - Catharine M West
- Translational Radiobiology Group, Institute of Cancer Sciences, Manchester Academic Health Science Centre, University of Manchester, Wilmslow Road, Withington, Manchester M20 4BX, UK.
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Dhermain F. Radiotherapy of high-grade gliomas: current standards and new concepts, innovations in imaging and radiotherapy, and new therapeutic approaches. CHINESE JOURNAL OF CANCER 2014; 33:16-24. [PMID: 24384237 PMCID: PMC3905086 DOI: 10.5732/cjc.013.10217] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The current standards in radiotherapy of high-grade gliomas (HGG) are based on anatomic imaging techniques, usually computed tomography (CT) scanning and magnetic resonance imaging (MRI). The guidelines vary depending on whether the HGG is a histological grade 3 anaplastic glioma (AG) or a grade 4 glioblastoma multiforme (GBM). For AG, T2-weighted MRI sequences plus the region of contrast enhancement in T1 are considered for the delineation of the gross tumor volume (GTV), and an isotropic expansion of 15 to 20 mm is recommended for the clinical target volume (CTV). For GBM, the Radiation Therapy Oncology Group favors a two-step technique, with an initial phase (CTV1) including any T2 hyperintensity area (edema) plus a 20 mm margin treated with up to 46 Gy in 23 fractions, followed by a reduction in CTV2 to the contrast enhancement region in T1 with an additional 25 mm margin. The European Organisation of Research and Treatment of Cancer recommends a single-phase technique with a unique GTV, which comprises the T1 contrast enhancement region plus a margin of 20 to 30 mm. A total dose of 60 Gy in 30 fractions is usually delivered for GBM, and a dose of 59.4 Gy in 33 fractions is typically given for AG. As more than 85% of HGGs recur in field, dose-escalation studies have shown that 70 to 75 Gy can be delivered in 6 weeks with relevant toxicities developing in < 10% of the patients. However, the only randomized dose-escalation trial, in which the boost dose was guided by conventional MRI, did not show any survival advantage of this treatment over the reference arm. HGGs are amongst the most infiltrative and heterogeneous tumors, and it was hypothesized that the most highly aggressive areas were missed; thus, better visualization of these high-risk regions for radiation boost could decrease the recurrence rate. Innovations in imaging and linear accelerators (LINAC) could help deliver the right doses of radiation to the right subvolumes according to the dose-painting concept. Advanced imaging techniques provide functional information on cellular density (diffusion MRI), angiogenesis (perfusion MRI), metabolic activity and cellular proliferation [positron emission tomography (PET) and magnetic resonance spectroscopy (MRS)]. All of these non-invasive techniques demonstrated good association between the images and histology, with up to 40% of HGGs functionally presenting a high activity within the non-contrast-enhanced areas in T1. New LINAC technologies, such as intensity-modulated and stereotactic radiotherapy, help to deliver a simultaneous integrated boost (SIB) > 60 Gy. Trials delivering a SIB into a biological GTV showed the feasibility of this treatment, but the final results, in terms of clinical benefits for HGG patients, are still pending. Many issues have been identified: the variety of MRI and PET machines (and amino-acid tracers), the heterogeneity of the protocols used for image acquisition and post-treatment, the geometric distortion and the unreliable algorithms for co-registration of brain anatomy with functional maps, and the semi-quiescent but highly invasive HGG cells. These issues could be solved by the homogenization of the protocols and software applications, the simultaneous acquisition of anatomic and functional images (PET-MRI machines), the combination of complementary imaging tools (perfusion and diffusion MRI), and the concomitant addition of some ad hoc targeted drugs against angiogenesis and invasiveness to chemoradiotherapy. The integration of these hybrid data will construct new synthetic metrics for fully individualized treatments.
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Affiliation(s)
- Frederic Dhermain
- Department of Radiation Oncology, Institut Gustave Roussy University Hospital, Villejuif 94805, France.
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Nguyen N, Montagnese J, Rogers LR, Sher A, Wolansky L. Positron emission tomography-magnetic resonance imaging in the evaluation of brain tumors: current status and future prospects. Semin Roentgenol 2014; 49:275-89. [PMID: 25497912 DOI: 10.1053/j.ro.2014.07.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Nghi Nguyen
- Department of Radiology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Jesse Montagnese
- Department of Radiology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Lisa R Rogers
- Department of Neurology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Andrew Sher
- Department of Radiology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Leo Wolansky
- Department of Radiology, University Hospitals Case Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH.
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Fussell D, Young RJ. Role of MRI perfusion in improving the treatment of brain tumors. ACTA ACUST UNITED AC 2013. [DOI: 10.2217/iim.13.50] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Furtner J, Schöpf V, Schewzow K, Kasprian G, Weber M, Woitek R, Asenbaum U, Preusser M, Marosi C, Hainfellner JA, Widhalm G, Wolfsberger S, Prayer D. Arterial spin-labeling assessment of normalized vascular intratumoral signal intensity as a predictor of histologic grade of astrocytic neoplasms. AJNR Am J Neuroradiol 2013; 35:482-9. [PMID: 23945226 DOI: 10.3174/ajnr.a3705] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Pulsed arterial spin-labeling is a noninvasive MR imaging perfusion method performed with the use of water in the arterial blood as an endogenous contrast agent. The purpose of this study was to determine the inversion time with the largest difference in normalized intratumoral signal intensity between high-grade and low-grade astrocytomas. MATERIALS AND METHODS Thirty-three patients with gliomas, histologically classified as low-grade (n = 7) or high-grade astrocytomas (n = 26) according to the World Health Organization brain tumor classification, were included. A 3T MR scanner was used to perform pulsed arterial spin-labeling measurements at 8 different inversion times (370 ms, 614 ms, 864 ms, 1114 ms, 1364 ms, 1614 ms, 1864 ms, and 2114 ms). Normalized intratumoral signal intensity was calculated, which was defined by the signal intensity ratio of the tumor and the contralateral normal brain tissue for all fixed inversion times. A 3-way mixed ANOVA was used to reveal potential differences in the normalized vascular intratumoral signal intensity between high-grade and low-grade astrocytomas. RESULTS The difference in normalized vascular intratumoral signal intensity between high-grade and low-grade astrocytomas obtained the most statistically significant results at 370 ms (P = .003, other P values ranged from .012-.955). CONCLUSIONS The inversion time by which to differentiate high-grade and low-grade astrocytomas by use of normalized vascular intratumoral signal intensity was 370 ms in our study. The normalized vascular intratumoral signal intensity values at this inversion time mainly reflect the labeled intra-arterial blood bolus and therefore could be referred to as normalized vascular intratumoral signal intensity. Our data indicate that the use of normalized vascular intratumoral signal intensity values allows differentiation between low-grade and high-grade astrocytomas and thus may serve as a new, noninvasive marker for astrocytoma grading.
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Affiliation(s)
- J Furtner
- From the Department of Biomedical Imaging and Image-Guided Therapy (J.F., V.S., G.K., M.W., R.W., U.A., D.P.)
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Refined brain tumor diagnostics and stratified therapies: the requirement for a multidisciplinary approach. Acta Neuropathol 2013; 126:21-37. [PMID: 23689616 DOI: 10.1007/s00401-013-1127-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2013] [Accepted: 05/06/2013] [Indexed: 12/18/2022]
Abstract
Individualized therapies are popular current concepts in oncology and first steps towards stratified medicine have now been taken in neurooncology through implementation of stratified therapeutic approaches. Knowledge about the molecular basis of brain tumors has expanded greatly in recent years and a few molecular alterations are studied routinely because of their clinical relevance. However, no single targeted agent has yet been fully approved for the treatment of glial brain tumors. In this review, we argue that multidisciplinary and integrated approaches are essential for translational research and the development of new treatments for patients with malignant gliomas, and we present a conceptual framework in which to place the components of such an interdisciplinary approach. We believe that this ambitious goal can be best realized through strong cooperation of brain tumor centers with local hospitals and physicians; such an approach enables close dialogue between expert subspecialty clinicians and local therapists to consider all aspects of this increasingly complex set of diseases.
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Mohammed W, Xunning H, Haibin S, Jingzhi M. Clinical applications of susceptibility-weighted imaging in detecting and grading intracranial gliomas: a review. Cancer Imaging 2013; 13:186-95. [PMID: 23618919 PMCID: PMC3636597 DOI: 10.1102/1470-7330.2013.0020] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Susceptibility-weighted imaging (SWI) is a technique that exploits the susceptibility difference between tissues to provide contrast for different regions of the brain. In essence, it uses the deoxygenated hemoglobin of veins, hemosiderin of hemorrhage, etc. as intrinsic contrast agents, allowing for much better visualization of blood and microvessels even without administration of an external contrast agent. It is a fast-evolving field that is being constantly improved and increasingly implemented with updates in relevant technology. Multiple studies have been done on the role of SWI in the management of various neurologic disorders and it is also being seen as a further step in the neuroradiologist’s goal of being able to noninvasively grade tumors in order to influence therapy. This article briefly reviews the evolution of SWI since its conception and provides the reader with a comprehensive summary of various studies that have been done on its application for detecting and grading intraaxial brain tumors, specifically gliomas. Other useful magnetic resonance techniques that have shown promise in grading gliomas are also discussed.
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Affiliation(s)
- Wasif Mohammed
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
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Abstract
Imaging is a key component in the management of brain tumours, with MRI being the preferred modality for most clinical scenarios. However, although conventional MRI provides mainly structural information, such as tumour size and location, it leaves many important clinical questions, such as tumour type, aggressiveness and prognosis, unanswered. An increasing number of studies have shown that additional information can be obtained using functional imaging methods (which probe tissue properties), and that these techniques can give key information of clinical importance. These techniques include diffusion imaging, which can assess tissue structure, and perfusion imaging and magnetic resonance spectroscopy, which measures tissue metabolite profiles. Tumour metabolism can also be investigated using PET, with 18F-deoxyglucose being the most readily available tracer. This Review discusses these methods and the studies that have investigated their clinical use. A strong emphasis is placed on the measurement of quantitative parameters, which is a move away from the qualitative nature of conventional radiological reporting and presents major challenges, particularly for multicentre studies.
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Idema AJ, Hoffmann AL, Boogaarts HD, Troost EG, Wesseling P, Heerschap A, van der Graaf WT, Grotenhuis JA, Oyen WJ. 3′-Deoxy-3′-18F-Fluorothymidine PET–Derived Proliferative Volume Predicts Overall Survival in High-Grade Glioma Patients. J Nucl Med 2012; 53:1904-10. [DOI: 10.2967/jnumed.112.105544] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
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Hipp SJ, Steffen-Smith EA, Patronas N, Herscovitch P, Solomon JM, Bent RS, Steinberg SM, Warren KE. Molecular imaging of pediatric brain tumors: comparison of tumor metabolism using ¹⁸F-FDG-PET and MRSI. J Neurooncol 2012; 109:521-7. [PMID: 22760419 DOI: 10.1007/s11060-012-0918-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Accepted: 06/19/2012] [Indexed: 01/21/2023]
Abstract
Magnetic resonance spectroscopic imaging (MRSI) and (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) are non-invasive imaging techniques routinely used to evaluate tumor malignancy in adults with brain tumors. We compared the metabolic activity of pediatric brain tumors using FDG-PET and MRSI. Children (n = 37) diagnosed with a primary brain tumor underwent FDG-PET and MRSI within two weeks of each other. Tumor metabolism was classified as inactive, active or highly active using the maximum choline:N-acetyl-asparate (Cho:NAA) on MRSI and the highest tumor uptake on FDG-PET. A voxel-wise comparison was used to evaluate the area with the greatest abnormal metabolism. Agreement between methods was assessed using the percent agreement and the kappa statistic (κ). Pediatric brain tumors were metabolically heterogeneous on FDG-PET and MRSI studies. Active tumor metabolism was observed more frequently using MRSI compared to FDG-PET, and agreement in tumor classification was weak (κ = 0.16, p = 0.12), with 42 % agreement (95 % CI = 25-61 %). Voxel-wise comparison for identifying the area of greatest metabolic activity showed overlap in the majority (62 %) of studies, though exact agreement between techniques was low (29.4 %, 95 % CI = 15.1-47.5 %). These results indicate that FDG-PET and MRSI detect similar but not always identical regions of tumor activity, and there is little agreement in the degree of tumor metabolic activity between the two techniques.
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Affiliation(s)
- Sean J Hipp
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
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Konstandin S, Nagel AM. Performance of sampling density-weighted and postfiltered density-adapted projection reconstruction in sodium magnetic resonance imaging. Magn Reson Med 2012; 69:495-502. [PMID: 22473708 DOI: 10.1002/mrm.24255] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2011] [Revised: 02/21/2012] [Accepted: 02/23/2012] [Indexed: 11/08/2022]
Abstract
Sampling density-weighted apodization projection reconstruction sequences are evaluated for three-dimensional radial imaging. The readout gradients of the sampling density-weighted apodization sequence are designed such that the locally averaged sampling density matches a Hamming filter function. This technique is compared with density-adapted projection reconstruction with nonfiltered and postfiltered image reconstruction. Sampling density-weighted apodization theoretically allows for a 1.28-fold higher signal-to-noise ratio compared with postfiltered density-adapted projection reconstruction sequences, if T(2)* decay is negligible compared with the readout duration T(RO). Simulations of the point-spread functions are performed for monoexponential and biexponential decay to investigate the effects of T(2)* decay on the performance of the different sequences. Postfiltered density-adapted projection reconstruction performs superior to sampling density-weighted apodization for large T(RO)/T(2)* ratios [>1.36 (monoexponential decay); >0.35 (biexponential decay with T(2s)*/T(2f)* = 10)], if signal-to-noise ratio of point-like objects is considered. In conclusion, it depends on the readout parameters, the T(2)* relaxation times, and the dimensions of the subject which of both sequences is most suitable.
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Affiliation(s)
- Simon Konstandin
- Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany
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The potential of relaxation-weighted sodium magnetic resonance imaging as demonstrated on brain tumors. Invest Radiol 2011; 46:539-47. [PMID: 21577129 DOI: 10.1097/rli.0b013e31821ae918] [Citation(s) in RCA: 84] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES : Total tissue sodium (Na) content is associated with the viability of cells and can be assessed by Na magnetic resonance imaging. However, the resulting total sodium signal (NaT) represents a volume-weighted average of different sodium compartments assigned to the intra- and extracellular space. In addition to the spin-density weighted contrast of NaT imaging, relaxation-weighted (NaR) sequences were applied. The aim of this study was to evaluate the potential of NaR imaging for tissue characterization and putative additional benefits to NaT imaging. MATERIALS AND METHODS : For NaT and NaR imaging, novel magnetic resonance imaging sequences were established and applied in 16 patients suffering from brain tumors (14 WHO grade I-IV and 2 metastases). All Na sequences were based on density-adapted three-dimensional radial projection reconstruction to obtain short echo times and high signal-to-noise ratio efficiency. RESULTS : NaT imaging revealed increased signal intensities in 15 of 16 brain tumors before therapy. In addition, NaR imaging enabled further differentiation of these lesions; all glioblastomas demonstrated higher NaR signal intensities as compared with WHO grade I-III tumors. Thus, NaR imaging allowed for correct separation between WHO grade I-III and WHO grade IV gliomas. In contrast to the NaT signal, the NaR signal correlated with the MIB-1 proliferation rate of tumor cells. CONCLUSIONS : These results serve as a proof of concept that NaR imaging reveals important physiological tissue characteristics different from NaT imaging. Furthermore, they indicate that the combined use of NaT and NaR imaging might add valuable information for the functional in vivo characterization of brain tissue.
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Essig M, Anzalone N, Combs SE, Dörfler À, Lee SK, Picozzi P, Rovira A, Weller M, Law M. MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice. AJNR Am J Neuroradiol 2011; 33:803-17. [PMID: 22016411 DOI: 10.3174/ajnr.a2640] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
MR imaging is the preferred technique for the diagnosis, treatment planning, and monitoring of patients with neoplastic CNS lesions. Conventional MR imaging, with gadolinium-based contrast enhancement, is increasingly combined with advanced, functional MR imaging techniques to offer morphologic, metabolic, and physiologic information. This article provides updated recommendations to neuroradiologists, neuro-oncologists, neurosurgeons, and radiation oncologists on the practical applications of MR imaging of neoplastic CNS lesions in adults, with particular focus on gliomas, based on a review of the clinical trial evidence and personal experiences shared at a recent international meeting of experts in neuroradiology, neuro-oncology, neurosurgery, and radio-oncology.
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Affiliation(s)
- M Essig
- University of Erlangen, German Cancer Center, Erlangen, Germany.
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Treatment monitoring in gliomas: comparison of dynamic susceptibility-weighted contrast-enhanced and spectroscopic MRI techniques for identifying treatment failure. Invest Radiol 2011; 46:390-400. [PMID: 21285888 DOI: 10.1097/rli.0b013e31820e1511] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To evaluate whether dynamic susceptibility-weighted contrast-enhanced (DSC), dynamic contrast-enhanced (DCE), and proton spectroscopic imaging ((1)H-MRSI) can identify progression and predict treatment failure during follow-up before tumor size changes, contrast agent uptake, or when new lesions become obvious. The aim was also to find out which of the aforementioned techniques had the best diagnostic performance compared with each other and standard magnetic resonance imaging (MRI). MATERIALS AND METHODS Thirty-seven patients with gliomas (21 women, 16 men; mean age at inclusion, 48 ± 14 years [standard deviation]) were assessed prospectively by (1)H-MRSI (point-resolved spectroscopy), DCE, and DSC perfusion MRI, each after a single dose of gadobenate dimeglumine during follow-up. Histology was available in all cases (resection, N = 18; biopsy, N = 19). All patients with low-grade gliomas (n = 20) did not receive any radio- or chemotherapy after partial resection (n = 7) or biopsy (n = 13), whereas 17 patients with high-grade gliomas had received adjuvant radiotherapy immediately after surgery. Tumor progression (progressive disease, PD) was defined as increase in longest glioma diameter by at least 20% (Response Evaluation Criteria in Solid Tumors), appearance of new lesions, or new contrast-enhancement. DSC, DCE, and MRSI image analyses comprised a detailed semiquantitative region of interest (ROI) analysis of the different parameters. Wilcoxon signed-rank test, Wilcoxon rank sum test, and Cox regression were used for statistical analysis. RESULTS The median follow-up time was 607 days. Twenty patients showed PD (54%), 8 of 20 with low-grade (40%) and 12 of 17 with high-grade gliomas (71%). In PD, significant positive differences between log2-transformed ROI ratios at the last measurement in comparison to the first measurement (baseline) could be detected for tumor blood flow (P < 0.006) and volume (P < 0.001) derived from DSC and for maximum choline within tumor tissue (P = 0.0029) and Cho/Cr (P = 0.032) but not choline/N-acetyl-aspartate (P = 0.37) derived from MRSI. In contrast, these parameters were not significantly higher at last measurement in stable disease. Also, the differences between last value and baseline were significantly different between PD and stable disease for tumor blood flow (P < 0.004) and volume (P < 0.002) as well as for maximum choline within tumor tissue (P = 0.0011). The best prognostic parameter for PD at Cox analysis was time-dependent difference to baseline of log2 of relative regional cerebral blood flow normalized on gray matter (hazard ratio, 2.67; 95% confidence interval, 1.25-6.08; P = 0.01), while a prognostic value of MRS parameters could not be demonstrated. CONCLUSION DSC perfusion imaging can identify progression and can predict treatment failure during follow-up of gliomas with the best diagnostic performance.
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