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Waheed A, Singh B, Watts A, Kaur H, Singh H, Dhingra K, Ahuja C, Madan R, Singh A, Radotra BD. 68 Ga-Pentixafor PET/CT for In Vivo Imaging of CXCR4 Receptors in Glioma Demonstrating a Potential for Response Assessment to Radiochemotherapy: Preliminary Results. Clin Nucl Med 2024; 49:e141-e148. [PMID: 38350065 DOI: 10.1097/rlu.0000000000005073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
PURPOSE The aim of this study was to evaluate the diagnostic potential of 68 Ga-pentixafor PET/CT for in vivo CXCR4 receptors imaging in glioma and its possible role in response assessment to radiochemotherapy (R-CT). METHODS Nineteen (12 men, 7 women) patients with glioblastoma multiforme (GBM) underwent 68 Ga-pentixafor PET/CT, contrast-enhanced MR, and MR spectroscopy. Patients were divided in to 2 groups, that is, group I was the presurgical (n = 9) group in which the scanning was done before surgery, and PET findings were correlated with CXCR4 receptors' density. The group II was the postsurgical (n = 10) group in which the scanning was done before and after R-CT and used for treatment response evaluation. The quantitative analysis of 68 Ga-pentixafor PET/CT evaluated the mean SUV max , SUV mean , SUV peak , and T/B values. MR spectroscopy data evaluated the ratios of tumor metabolites (choline, NAA, creatine). RESULTS 68 Ga-Pentixafor uptake was noted in all (n = 19) the patients. In the group I, the mean SUV max , SUV mean , SUV peak , and T/B values were found to be 4.5 ± 1.6, 0.60 ± 0.26, 1.95 ± 0.8, and 6.9 ± 4.6, respectively. A significant correlation ( P < 0.005) was found between SUV mean and choline/NAA ratio. Immunohistochemistry performed in 7/9 showed CXCR4 receptors' positivity (intensity 3 + ; stained cells >50.0%). In the group II, the mean SUV max at baseline was 4.6 ± 2.1 and did not differ (4.4 ± 1.6) significantly from the value noted at post-R-CT follow-up PET/CT imaging. At 6 months' clinical follow-up, 4 patients showed stable disease. SUV max and T/B ratios at follow-up imaging were lower (3.70 ± 0.90, 2.64 ± 1.35) than the corresponding values (4.40 ± 2.8; 2.91 ± 0.93) noted at baseline. Six (6/10) patients showed disease progression, and the mean SUV max , and T/B ratio in these patients were significantly ( P < 0.05) higher than the corresponding values at baseline and also higher than that noted in the stable patients. CONCLUSIONS 68 Ga-Pentixafor PET/CT can be used for in vivo mapping of CXCR4 receptors in GBM. The technique after validation in a large cohort of patients may have added diagnostic value for the early detection of GBM recurrence and for treatment response evaluation.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Bishan D Radotra
- Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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Bhattacharya K, Rastogi S, Mahajan A. Post-treatment imaging of gliomas: challenging the existing dogmas. Clin Radiol 2024; 79:e376-e392. [PMID: 38123395 DOI: 10.1016/j.crad.2023.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 10/23/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Abstract
Gliomas are the commonest malignant central nervous system tumours in adults and imaging is the cornerstone of diagnosis, treatment, and post-treatment follow-up of these patients. With the ever-evolving treatment strategies post-treatment imaging and interpretation in glioma remains challenging, more so with the advent of anti-angiogenic drugs and immunotherapy, which can significantly alter the appearance in this setting, thus making interpretation of routine imaging findings such as contrast enhancement, oedema, and mass effect difficult to interpret. This review details the various methods of management of glioma including the upcoming novel therapies and their impact on imaging findings, with a comprehensive description of the imaging findings in conventional and advanced imaging techniques. A systematic appraisal for the existing and emerging techniques of imaging in these settings and their clinical application including various response assessment guidelines and artificial intelligence based response assessment will also be discussed.
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Affiliation(s)
- K Bhattacharya
- Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - S Rastogi
- Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - A Mahajan
- Department of imaging, The Clatterbridge Cancer Centre, NHS Foundation Trust, Pembroke Place, Liverpool L7 8YA, UK; University of Liverpool, Liverpool L69 3BX, UK.
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Dagher R, Gad M, da Silva de Santana P, Sadeghi MA, Yewedalsew SF, Gujar SK, Yedavalli V, Köhler CA, Khan M, Tavora DGF, Kamson DO, Sair HI, Luna LP. Umbrella review and network meta-analysis of diagnostic imaging test accuracy studies in Differentiating between brain tumor progression versus pseudoprogression and radionecrosis. J Neurooncol 2024; 166:1-15. [PMID: 38212574 DOI: 10.1007/s11060-023-04528-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 12/01/2023] [Indexed: 01/13/2024]
Abstract
PURPOSE In this study we gathered and analyzed the available evidence regarding 17 different imaging modalities and performed network meta-analysis to find the most effective modality for the differentiation between brain tumor recurrence and post-treatment radiation effects. METHODS We conducted a comprehensive systematic search on PubMed and Embase. The quality of eligible studies was assessed using the Assessment of Multiple Systematic Reviews-2 (AMSTAR-2) instrument. For each meta-analysis, we recalculated the effect size, sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio from the individual study data provided in the original meta-analysis using a random-effects model. Imaging technique comparisons were then assessed using NMA. Ranking was assessed using the multidimensional scaling approach and by visually assessing surface under the cumulative ranking curves. RESULTS We identified 32 eligible studies. High confidence in the results was found in only one of them, with a substantial heterogeneity and small study effect in 21% and 9% of included meta-analysis respectively. Comparisons between MRS Cho/NAA, Cho/Cr, DWI, and DSC were most studied. Our analysis showed MRS (Cho/NAA) and 18F-DOPA PET displayed the highest sensitivity and negative likelihood ratios. 18-FET PET was ranked highest among the 17 studied techniques with statistical significance. APT MRI was the only non-nuclear imaging modality to rank higher than DSC, with statistical insignificance, however. CONCLUSION The evidence regarding which imaging modality is best for the differentiation between radiation necrosis and post-treatment radiation effects is still inconclusive. Using NMA, our analysis ranked FET PET to be the best for such a task based on the available evidence. APT MRI showed promising results as a non-nuclear alternative.
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Affiliation(s)
- Richard Dagher
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Mona Gad
- Diagnostic Radiology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | | | - Mohammad Amin Sadeghi
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | | | - Sachin K Gujar
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Vivek Yedavalli
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Cristiano André Köhler
- Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil
| | - Majid Khan
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | | | - David Olayinka Kamson
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD, USA
| | - Haris I Sair
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA
| | - Licia P Luna
- Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, Johns Hopkins Hospital, 600 N Wolfe Street Phipps B100F, Baltimore, MD, 21287, USA.
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Hazari PP, Yadav SK, Kumar PK, Dhingra V, Rani N, Kumar R, Singh B, Mishra AK. Preclinical and Clinical Use of Indigenously Developed 99mTc-Diethylenetriaminepentaacetic Acid-Bis-Methionine: l-Type Amino Acid Transporter 1-Targeted Single Photon Emission Computed Tomography Radiotracer for Glioma Management. ACS Pharmacol Transl Sci 2023; 6:1233-1247. [PMID: 37705592 PMCID: PMC10496141 DOI: 10.1021/acsptsci.3c00091] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Indexed: 09/15/2023]
Abstract
A new era in tumor classification, diagnosis, and prognostic evaluation has begun as a consequence of recent developments in the molecular and genetic characterization of central nervous system tumors. In this newly emerging era, molecular imaging modalities are essential for preoperative diagnosis, surgical planning, targeted treatment, and post-therapy evaluation of gliomas. The radiotracers are able to identify brain tumors, distinguish between low- and high-grade lesions, confirm a patient's eligibility for theranostics, and assess post-radiation alterations. We previously synthesized and reported the novel l-type amino acid transporter 1 (LAT-1)-targeted amino acid derivative in light of the use of amino acid derivatives in imaging technologies. Further, we have developed a single vial ready to label Tc-lyophilized kit preparations of diethylenetriaminepentaacetic acid-bis-methionine [DTPA-bis(Met)], also referred to as methionine-diethylenetriaminepentaacetic acid-methionine (MDM) and evaluated its imaging potential in numerous clinical studies. This review summarizes our previous publications on 99mTc-DTPA-bis(Met) in different clinical studies such as detection of breast cancer, as a prognostic marker, in detection of recurrent/residual gliomas, for differentiation of recurrent/residual gliomas from radiation necrosis, and for comparison of 99mTc-DTPA-bis(Met) with 11C-L-methionine (11C-MET), with relevant literature on imaging modalities in glioma management.
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Affiliation(s)
- Puja Panwar Hazari
- Division
of Cyclotron and Radiopharmaceutical Sciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Delhi- 110054, India
| | - Shiv Kumar Yadav
- Division
of Cyclotron and Radiopharmaceutical Sciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Delhi- 110054, India
| | - Pardeep Kumar Kumar
- Department
of Neuroimaging and Interventional Radiology, National Institute of Mental Health & Neurosciences, Bangalore-560029, India
| | - Vandana Dhingra
- All
India Institute of Medical Sciences, Rishikesh-249203, India
| | - Nisha Rani
- Division
of Psychiatric Neuroimaging, Department of Psychiatry and Behavioral
Sciences, Johns Hopkins University School
of Medicine 600 N. Wolfe Street, Phipps 300, Baltimore, Maryland 21287, United States
| | - Rakesh Kumar
- All
India Institute of Medical Sciences, Delhi-110029, India
| | - Baljinder Singh
- Department
of Nuclear Medicine, Postgraduate Institute
of Medical Education and Research, Chandigarh-160012, India
| | - Anil K. Mishra
- Division
of Cyclotron and Radiopharmaceutical Sciences, Institute of Nuclear Medicine and Allied Sciences, DRDO, Delhi- 110054, India
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Ninatti G, Pini C, Gelardi F, Sollini M, Chiti A. The Role of PET Imaging in the Differential Diagnosis between Radiation Necrosis and Recurrent Disease in Irradiated Adult-Type Diffuse Gliomas: A Systematic Review. Cancers (Basel) 2023; 15:cancers15020364. [PMID: 36672314 PMCID: PMC9856914 DOI: 10.3390/cancers15020364] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 01/09/2023] Open
Abstract
Adult-type diffuse gliomas are treated with a multimodality treatment approach that includes radiotherapy both in the primary setting, and in the case of progressive or recurrent disease. Radiation necrosis represents a major complication of radiotherapy. Recurrent disease and treatment-related changes are often indistinguishable using conventional imaging methods. The present systematic review aims at assessing the diagnostic role of PET imaging using different radiopharmaceuticals in differentiating radiation necrosis and disease relapse in irradiated adult-type diffuse gliomas. We conducted a comprehensive literature search using the PubMed/MEDLINE and EMBASE databases for original research studies of interest. In total, 436 articles were assessed for eligibility. Ten original papers, published between 2014 and 2022, were selected. Four articles focused on [18F]FDG, seven on amino acid tracers ([18F]FET n = 3 and [11C]MET n = 4), one on [11C]CHO, and one on [68Ga]Ga-PSMA. Visual assessment, semi-quantitative methods, and radiomics were applied for image analysis. Furthermore, 2/10 papers were comparative studies investigating different radiopharmaceuticals. The present review, the first one on the topic in light of the new 2021 CNS WHO classification, highlighted the usefulness of PET imaging in distinguishing radiation necrosis and tumour recurrence, but revealed high heterogeneity among studies.
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Affiliation(s)
- Gaia Ninatti
- Residency Program in Nuclear Medicine, School of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy
| | - Cristiano Pini
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
| | - Fabrizia Gelardi
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
| | - Martina Sollini
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
- Correspondence: ; Tel.: +39-0282245614
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via R. Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas Research Hospital, Department of Nuclear Medicine, Via Manzoni 56, 20089 Rozzano, Italy
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Li AY, Iv M. Conventional and Advanced Imaging Techniques in Post-treatment Glioma Imaging. FRONTIERS IN RADIOLOGY 2022; 2:883293. [PMID: 37492665 PMCID: PMC10365131 DOI: 10.3389/fradi.2022.883293] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/06/2022] [Indexed: 07/27/2023]
Abstract
Despite decades of advancement in the diagnosis and therapy of gliomas, the most malignant primary brain tumors, the overall survival rate is still dismal, and their post-treatment imaging appearance remains very challenging to interpret. Since the limitations of conventional magnetic resonance imaging (MRI) in the distinction between recurrence and treatment effect have been recognized, a variety of advanced MR and functional imaging techniques including diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), perfusion-weighted imaging (PWI), MR spectroscopy (MRS), as well as a variety of radiotracers for single photon emission computed tomography (SPECT) and positron emission tomography (PET) have been investigated for this indication along with voxel-based and more quantitative analytical methods in recent years. Machine learning and radiomics approaches in recent years have shown promise in distinguishing between recurrence and treatment effect as well as improving prognostication in a malignancy with a very short life expectancy. This review provides a comprehensive overview of the conventional and advanced imaging techniques with the potential to differentiate recurrence from treatment effect and includes updates in the state-of-the-art in advanced imaging with a brief overview of emerging experimental techniques. A series of representative cases are provided to illustrate the synthesis of conventional and advanced imaging with the clinical context which informs the radiologic evaluation of gliomas in the post-treatment setting.
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Affiliation(s)
- Anna Y. Li
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States
| | - Michael Iv
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University School of Medicine, Stanford, CA, United States
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Booth TC, Wiegers EC, Warnert EAH, Schmainda KM, Riemer F, Nechifor RE, Keil VC, Hangel G, Figueiredo P, Álvarez-Torres MDM, Henriksen OM. High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 2: Spectroscopy, Chemical Exchange Saturation, Multiparametric Imaging, and Radiomics. Front Oncol 2022; 11:811425. [PMID: 35340697 PMCID: PMC8948428 DOI: 10.3389/fonc.2021.811425] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/28/2021] [Indexed: 01/16/2023] Open
Abstract
Objective To summarize evidence for use of advanced MRI techniques as monitoring biomarkers in the clinic, and to highlight the latest bench-to-bedside developments. Methods The current evidence regarding the potential for monitoring biomarkers was reviewed and individual modalities of metabolism and/or chemical composition imaging discussed. Perfusion, permeability, and microstructure imaging were similarly analyzed in Part 1 of this two-part review article and are valuable reading as background to this article. We appraise the clinic readiness of all the individual modalities and consider methodologies involving machine learning (radiomics) and the combination of MRI approaches (multiparametric imaging). Results The biochemical composition of high-grade gliomas is markedly different from healthy brain tissue. Magnetic resonance spectroscopy allows the simultaneous acquisition of an array of metabolic alterations, with choline-based ratios appearing to be consistently discriminatory in treatment response assessment, although challenges remain despite this being a mature technique. Promising directions relate to ultra-high field strengths, 2-hydroxyglutarate analysis, and the use of non-proton nuclei. Labile protons on endogenous proteins can be selectively targeted with chemical exchange saturation transfer to give high resolution images. The body of evidence for clinical application of amide proton transfer imaging has been building for a decade, but more evidence is required to confirm chemical exchange saturation transfer use as a monitoring biomarker. Multiparametric methodologies, including the incorporation of nuclear medicine techniques, combine probes measuring different tumor properties. Although potentially synergistic, the limitations of each individual modality also can be compounded, particularly in the absence of standardization. Machine learning requires large datasets with high-quality annotation; there is currently low-level evidence for monitoring biomarker clinical application. Conclusion Advanced MRI techniques show huge promise in treatment response assessment. The clinical readiness analysis highlights that most monitoring biomarkers require standardized international consensus guidelines, with more facilitation regarding technique implementation and reporting in the clinic.
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Affiliation(s)
- Thomas C. Booth
- School of Biomedical Engineering and Imaging Sciences, King’s College London, St. Thomas’ Hospital, London, United Kingdom
- Department of Neuroradiology, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Evita C. Wiegers
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Kathleen M. Schmainda
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Frank Riemer
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Ruben E. Nechifor
- Department of Clinical Psychology and Psychotherapy International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Vera C. Keil
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands
| | - Gilbert Hangel
- Department of Neurosurgery & High-Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria
| | - Patrícia Figueiredo
- Department of Bioengineering and Institute for Systems and Robotics - Lisboa, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | | | - Otto M. Henriksen
- Department of Clinical Physiology, Nuclear medicine and PET, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
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Cui M, Zorrilla-Veloz RI, Hu J, Guan B, Ma X. Diagnostic Accuracy of PET for Differentiating True Glioma Progression From Post Treatment-Related Changes: A Systematic Review and Meta-Analysis. Front Neurol 2021; 12:671867. [PMID: 34093419 PMCID: PMC8173157 DOI: 10.3389/fneur.2021.671867] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 03/24/2021] [Indexed: 11/24/2022] Open
Abstract
Purpose: To evaluate the diagnostic accuracy of PET with different radiotracers and parameters in differentiating between true glioma progression (TPR) and post treatment-related change (PTRC). Methods: Studies on using PET to differentiate between TPR and PTRC were screened from the PubMed and Embase databases. By following the PRISMA checklist, the quality assessment of included studies was performed, the true positive and negative values (TP and TN), false positive and negative values (FP and FN), and general characteristics of all the included studies were extracted. Results of PET consistent with reference standard were defined as TP or TN. The pooled sensitivity (Sen), specificity (Spe), and hierarchical summary receiver operating characteristic curves (HSROC) were generated to evaluate the diagnostic accuracy. Results: The 33 included studies had 1,734 patients with 1,811 lesions suspected of glioma recurrence. Fifteen studies tested the accuracy of 18F-FET PET, 12 tested 18F-FDG PET, seven tested 11C-MET PET, and three tested 18F-DOPA PET. 18F-FET PET showed a pooled Sen and Spe of 0.88 (95% CI: 0.80, 0.93) and 0.78 (0.69, 0.85), respectively. In the subgroup analysis of FET-PET, diagnostic accuracy of high-grade gliomas (HGGs) was higher than that of mixed-grade gliomas (P interaction = 0.04). 18F-FDG PET showed a pooled Sen and Spe of 0.78 (95% CI: 0.71, 0.83) and 0.87 (0.80, 0.92), the Spe of the HGGs group was lower than that of the low-grade gliomas group (0.82 vs. 0.90, P = 0.02). 11C-MET PET had a pooled Sen and Spe of 0.92 (95% CI: 0.83, 0.96) and 0.78 (0.69, 0.86). 18F-DOPA PET had a pooled Sen and Spe of 0.85 (95% CI: 0.80, 0.89) and 0.70 (0.60, 0.79). FET-PET combined with MRI had a pooled Sen and Spe of 0.88 (95% CI: 0.78, 0.94) and 0.76 (0.57, 0.88). Multi-parameters analysis of FET-PET had pooled Sen and Spe values of 0.88 (95% CI: 0.81, 0.92) and 0.79 (0.63, 0.89). Conclusion: PET has a moderate diagnostic accuracy in differentiating between TPR and PTRC. The high Sen of amino acid PET and high Spe of FDG-PET suggest that the combination of commonly used FET-PET and FDG-PET may be more accurate and promising, especially for low-grade glioma.
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Affiliation(s)
- Meng Cui
- Medical School of Chinese People's Liberation Army, Beijing, China
- Department of Neurosurgery, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Rocío Isabel Zorrilla-Veloz
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- The University of Texas MD Anderson Cancer Centre UT Health Graduate School of Biomedical Sciences, Houston, TX, United States
| | - Jian Hu
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- The University of Texas MD Anderson Cancer Centre UT Health Graduate School of Biomedical Sciences, Houston, TX, United States
| | - Bing Guan
- Department of Health Economics, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
| | - Xiaodong Ma
- Medical School of Chinese People's Liberation Army, Beijing, China
- Department of Neurosurgery, The First Medical Centre of Chinese People's Liberation Army General Hospital, Beijing, China
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Tran TT, Gallezot JD, Jilaveanu LB, Zito C, Turcu G, Lim K, Nabulsi N, Huang H, Huttner A, Kluger HM, Chiang VL, Carson R. [ 11C]Methionine and [ 11C]PBR28 as PET Imaging Tracers to Differentiate Metastatic Tumor Recurrence or Radiation Necrosis. Mol Imaging 2020; 19:1536012120968669. [PMID: 33147119 PMCID: PMC7649862 DOI: 10.1177/1536012120968669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Purpose: As stereotactic radiosurgery (SRS) and immunotherapy are increasingly used to treat brain metastases, incidence of radiation necrosis (RN) is consequently rising. Differentiating tumor regrowth (TR) from RN is vital in management but difficult to assess using MRI. We hypothesized that tumor methionine levels would be elevated given increased metabolism and high amino acid uptake, whereas RN would increase inflammation marked by upregulated translocator protein (PBR-TSPO), which can be quantified with specific PET tracers. Procedures: We performed a feasibility study to prospectively evaluate [11C]methionine and [11C]PBR28 using PET in 5 patients with 7 previously SRS-treated brain metastases demonstrating regrowth to differentiate TR from RN. Results: Sequential imaging with dual tracers was well-tolerated. [11C]methionine was accurate for detecting pathologically confirmed TR in 7/7 lesions, whereas [11C]PBR28 was only accurate in 3/7 lesions. Tumor PBR-TSPO expression was elevated in both melanoma and lung cancer cells, contributing to lack of specificity of [11C]PBR28-PET. Conclusion: Sequential use of PET tracers is safe and effective. [11C]Methionine was a reliable TR marker, but [11C]PBR28 was not a reliable marker of RN. Studies are needed to determine the causes of post-radiation inflammation and identify specific markers of RN to improve diagnostic imaging.
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Affiliation(s)
- Thuy T Tran
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Jean-Dominique Gallezot
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Lucia B Jilaveanu
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Christopher Zito
- Department of Biology, School of Health and Natural Sciences, 8515University of Saint Joseph, West Hartford, CT, USA
| | - Gabriela Turcu
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Keunpoong Lim
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Nabeel Nabulsi
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Henry Huang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Anita Huttner
- Department of Pathology, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Harriet M Kluger
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA
| | - Veronica L Chiang
- Yale School of Medicine and Yale Cancer Center, 12228Yale University, New Haven, CT, USA.,Department of Neurosurgery, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
| | - Richard Carson
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 12228Yale University, New Haven, CT, USA
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Rani N, Singh B, Kumar N, Singh P, Hazari PP, Vyas S, Hooda M, Chitkara A, Shekhawat AS, Gupta SK, Radotra BD, Mishra AK. [ 99mTc]-Bis-Methionine-DTPA Single-Photon Emission Computed Tomography Impacting Glioma Management: A Sensitive Indicator for Postsurgical/Chemoradiotherapy Response Assessment. Cancer Biother Radiopharm 2020; 36:568-578. [PMID: 32644819 DOI: 10.1089/cbr.2020.3696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: The present study evaluated the prognostic value of [99mTc]MDM (bis-methionine-DTPA) follow-up single-photon emission computed tomography (SPECT) imaging for response assessment to chemoradiotherapy in glioma postoperatively. Materials and Methods: One hundred fourteen glioma patients (80 M:34 F) were followed postoperatively by sequential [99mTc]MDM SPECT, dynamic susceptibility contrast-enhanced (DSCE)-MRI, and magnetic resonance spectroscopy (MRS) at baseline, 6, 12, and 22.5 months postchemoradiotherapy. The quantitative imaging results and the clinical outcome were used for response assessment and for the final diagnosis. The quantitative parameter of [99mTc]MDM SPECT were also used for survival analysis. Results: A significantly (p = 0.001) lower target to nontarget (T/NT) ratio was observed in responders than in nonresponders. The sensitivity and specificity of [99mTc]MDM-SPECT for identifying tumor recurrence from radiation necrosis at a cutoff ratio of 1.90 were estimated at 97.9% and 92%. Whereas, the sensitivity and specificity of DSCE-MRI with the normalized cerebral blood volume (nCBV) cutoff of 3.32 for this differentiation was found to be 84.6% and 93.0%. MRS intensity ratios of Cho/NAA and Cho/Cr provided comparatively lower sensitivity of 81.0% and 85.3% and specificity of 73.0% and 73.7%. T/NT ratios correlated with nCBV (r = 0.775, p < 0.001) and to a moderate extent with Cho/NAA ratios (r = 0.467, p = 0.001). [99mTc]MDM SPECT and DSCE-MRI provided comparable results for predicting response assessment to chemoradiotherapy. There was a final diagnosis in 72 patients, of which 47 cases were tumor recurrence and 25 were radiation necrosis. The Kaplan-Meier analysis indicated that patients with T/NT ratio <1.9 showed prolonged survival (53.8 months) as compared (37.2 months) with those who demonstrated T/NT ratio >1.9 (p = 0.0001). Conclusion: Thus, this low-cost SPECT technique in combination with DSCE-MRI can be used accurately for mapping the disease activity, response assessment, and survival in glioma. [99mTc]MDM SPECT and DSCE-MRI had the same diagnostic efficacy to detect recurrent/residual tumor and radiation necrosis while MRS was inferior to both the techniques.
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Affiliation(s)
- Nisha Rani
- Department of Nuclear Medicine, PGIMER, Chandigarh, India
| | | | | | - Paramjeet Singh
- Department of Radio-Diagnosis and Imaging, PGIMER, Chandigarh, India
| | - Puja P Hazari
- Division of Cyclotron and Radiopharmaceutical Sciences, Institute of Nuclear Medicine and Allied Science, DRDO, New Delhi, India
| | - Sameer Vyas
- Department of Radio-Diagnosis and Imaging, PGIMER, Chandigarh, India
| | - Monika Hooda
- Department of Nuclear Medicine, PGIMER, Chandigarh, India
| | - Ajay Chitkara
- Department of Nuclear Medicine, PGIMER, Chandigarh, India
| | | | - Sunil K Gupta
- Department of Neurosurgery, PGIMER, Chandigarh, India
| | | | - Anil K Mishra
- Division of Cyclotron and Radiopharmaceutical Sciences, Institute of Nuclear Medicine and Allied Science, DRDO, New Delhi, India
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11
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Treglia G, Muoio B, Trevisi G, Mattoli MV, Albano D, Bertagna F, Giovanella L. Diagnostic Performance and Prognostic Value of PET/CT with Different Tracers for Brain Tumors: A Systematic Review of Published Meta-Analyses. Int J Mol Sci 2019; 20:ijms20194669. [PMID: 31547109 PMCID: PMC6802483 DOI: 10.3390/ijms20194669] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/16/2019] [Accepted: 09/19/2019] [Indexed: 12/12/2022] Open
Abstract
Background: Several meta-analyses reporting data on the diagnostic performance or prognostic value of positron emission tomography (PET) with different tracers in detecting brain tumors have been published so far. This review article was written to summarize the evidence-based data in these settings. Methods: We have performed a comprehensive literature search of meta-analyses published in the Cochrane library and PubMed/Medline databases (from inception through July 2019) about the diagnostic performance or prognostic value of PET with different tracers in patients with brain tumors. Results: We have summarized the results of 24 retrieved meta-analyses on the use of PET or PET/computed tomography (CT) with different tracers in brain tumors. The tracers included were: fluorine-18 fluorodeoxyglucose (18F-FDG), carbon-11 methionine (11C-methionine), fluorine-18 fluoroethyltyrosine (18F-FET), fluorine-18 dihydroxyphenylalanine (18F-FDOPA), fluorine-18 fluorothymidine (18F-FLT), and carbon-11 choline (11C-choline). Evidence-based data demonstrated good diagnostic performance of PET with different tracers in detecting brain tumors, in particular, radiolabelled amino acid tracers showed the highest diagnostic performance values. All the PET tracers evaluated had significant prognostic value in patients with glioma. Conclusions: Evidence-based data showed a good diagnostic performance for some PET tracers in specific indications and significant prognostic value in brain tumors.
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Affiliation(s)
- Giorgio Treglia
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Health Technology Assessment Unit, Academic Education, Research and Innovation Area, General Directorate, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, CH-1011 Lausanne, Switzerland.
| | - Barbara Muoio
- Clinic of Medical Oncology, Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
| | - Gianluca Trevisi
- Neurosurgical Unit, Presidio Ospedaliero Santo Spirito, IT-65124 Pescara, Italy.
| | - Maria Vittoria Mattoli
- Department of Neurosciences, Imaging and Clinical Sciences, "G. D'Annunzio" University, IT-66100 Chieti, Italy.
| | - Domenico Albano
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Francesco Bertagna
- Department of Nuclear Medicine, Spedali Civili of Brescia and University of Brescia, IT-25123 Brescia, Italy.
| | - Luca Giovanella
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, CH-6500 Bellinzona, Switzerland.
- Department of Nuclear Medicine, University Hospital Zurich and University of Zurich, CH-8091 Zurich, Switzerland.
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12
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Sinclair G, Benmakhlouf H, Martin H, Maeurer M, Dodoo E. Adaptive hypofractionated gamma knife radiosurgery in the acute management of brainstem metastases. Surg Neurol Int 2019; 10:14. [PMID: 30783544 PMCID: PMC6367951 DOI: 10.4103/sni.sni_53_18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Accepted: 10/29/2018] [Indexed: 12/15/2022] Open
Abstract
Background: Intrinsic brainstem metastases are life-threatening neoplasms requiring rapid, effective intervention. Microsurgery is considered not feasible in most cases and systemic treatment seldom provides a successful outcome. In this context, radiation therapy remains the best option but adverse radiation effects (ARE) remain a major concern. A dose-adaptive gamma knife procedure coined as Rapid Rescue Radiosurgery (3R) offers the possibility to treat these lesions whilst reducing the risk of ARE evolvement. We report the results of 3R applied to a group of patients with brainstem metastases. Methods: Eight patients with nine brainstem metastases, having undergone three separate, dose-adapted gamma knife radiosurgery (GKRS) procedures over 7 days, were retrospectively analyzed in terms of tumor volume reduction, local control rates, and ARE-development under the period of treatment and at least 6 months after treatment completion. Results: Mean peripheral doses at GKRS 1, GKRS 2, and GKRS 3 were 7.4, 7.7, and 8.2 Gy (range 6–9 Gy) set at the 35–50% isodose lines. Mean tumor volume reduction between GKRS 1 and GKRS 3 was −15% and −56% at first follow-up. Four patients developed radiologic signs of ARE but remained clinically asymptomatic. One patient developed a local recurrence at 34 months. Mean survival from GKRS 1 was 13 months. Two patients were still alive at the time of paper submission (10 and 23 months from GKRS 1). Conclusions: In this study, 3R proved effective in terms of tumor volume reduction, rescue/preservation of neurological function, and limited ARE evolvement.
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Affiliation(s)
- Georges Sinclair
- Department of Neurosurgery, Karolinska University Hospital, Solna, Sweden
| | - Hamza Benmakhlouf
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Solna, Sweden
| | - Heather Martin
- Department of Neuroradiology, Karolinska University Hospital, Solna, Sweden
| | - Markus Maeurer
- Department of Laboratory Medicine (LABMED), Therapeutic Immunology Unit (TIM), Karolinska Institutet, Stockholm, Sweden.,Division of Therapeutic Immunology, Department of Laboratory Medicine, Karolinska Institute, Centre for Allogeneic Stem Cell Transplantation, Karolinska University Hospital, Solna, Sweden
| | - Ernest Dodoo
- Department of Neurosurgery, Karolinska University Hospital, Solna, Sweden
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13
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Qiao Z, Zhao X, Wang K, Zhang Y, Fan D, Yu T, Shen H, Chen Q, Ai L. Utility of Dynamic Susceptibility Contrast Perfusion-Weighted MR Imaging and 11C-Methionine PET/CT for Differentiation of Tumor Recurrence from Radiation Injury in Patients with High-Grade Gliomas. AJNR Am J Neuroradiol 2019; 40:253-259. [PMID: 30655259 DOI: 10.3174/ajnr.a5952] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 11/24/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Both 11C-methionine PET/CT and DSC-PWI could be used to differentiate radiation injury from recurrent brain tumors. Our aim was to assess the performance of MET PET/CT and DSC-PWI for differentiation of recurrence and radiation injury in patients with high-grade gliomas and to quantitatively analyze the diagnostic values of PET and PWI parameters. MATERIALS AND METHODS Forty-two patients with high-grade gliomas were enrolled in this study. The final diagnosis was determined by histopathologic analysis or clinical follow-up. PWI and PET parameters were recorded and compared between patients with recurrence and those with radiation injury using Student t tests. Receiver operating characteristic and logistic regression analyses were used to determine the diagnostic performance of each parameter. RESULTS The final diagnosis was recurrence in 33 patients and radiation injury in 9. PET/CT showed a patient-based sensitivity and specificity of 0.909 and 0.556, respectively, while PWI showed values of 0.667 and 0.778, respectively. The maximum standardized uptake value, mean standardized uptake value, tumor-to-background maximum standardized uptake value, and mean relative CBV were significantly higher for patients with recurrence than for patients with radiation injury. All these parameters showed a high discriminative power in receiver operating characteristic analysis. The optimal cutoff values for the tumor-to-background maximum standardized uptake value and mean relative CBV were 1.85 and 1.83, respectively, and corresponding sensitivities and specificities for the diagnosis of recurrence were 0.97 and 0.667 and 0.788 and 0.88, respectively. Areas under the curve for the tumor-to-background maximum standardized uptake value and mean relative CBV were 0.847 ± 0.077 and 0.845 ± 0.078, respectively. Combined assessment of the tumor-to-background maximum standardized uptake value and mean relative CBV showed the largest area under the curve (0.953 ± 0.031), with corresponding sensitivity and specificity of 0.848 and 1.0, respectively. CONCLUSIONS Both 11C-methionine PET/CT and PWI are equally accurate in the differentiation of recurrence from radiation injury in patients with high-grade gliomas, and a combination of the 2 modalities could result in increased diagnostic accuracy.
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Affiliation(s)
- Z Qiao
- From the Departments of Nuclear Medicine (Z.Q., X.Z., K.W., Y.Z., D.F., Q.C., L.A.)
| | - X Zhao
- From the Departments of Nuclear Medicine (Z.Q., X.Z., K.W., Y.Z., D.F., Q.C., L.A.)
| | - K Wang
- From the Departments of Nuclear Medicine (Z.Q., X.Z., K.W., Y.Z., D.F., Q.C., L.A.)
| | - Y Zhang
- From the Departments of Nuclear Medicine (Z.Q., X.Z., K.W., Y.Z., D.F., Q.C., L.A.)
| | - D Fan
- From the Departments of Nuclear Medicine (Z.Q., X.Z., K.W., Y.Z., D.F., Q.C., L.A.)
| | - T Yu
- Department of Medical Imaging (T.Y.), Cancer Hospital of China Medical University, Shenyang, China.,Department of Medical Imaging (T.Y.), Liaoning Cancer Hospital and Institute, Shenyang, China
| | - H Shen
- Radiology (H.S.), Beijing Tian Tan Hospital, Capital Medical University, Beijing, China
| | - Q Chen
- From the Departments of Nuclear Medicine (Z.Q., X.Z., K.W., Y.Z., D.F., Q.C., L.A.)
| | - L Ai
- From the Departments of Nuclear Medicine (Z.Q., X.Z., K.W., Y.Z., D.F., Q.C., L.A.)
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14
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Laukamp KR, Lindemann F, Weckesser M, Hesselmann V, Ligges S, Wölfer J, Jeibmann A, Zinnhardt B, Viel T, Schäfers M, Paulus W, Stummer W, Schober O, Jacobs AH. Multimodal Imaging of Patients With Gliomas Confirms 11C-MET PET as a Complementary Marker to MRI for Noninvasive Tumor Grading and Intraindividual Follow-Up After Therapy. Mol Imaging 2018; 16:1536012116687651. [PMID: 28654379 PMCID: PMC5470145 DOI: 10.1177/1536012116687651] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The value of combined L-( methyl-[11C]) methionine positron-emitting tomography (MET-PET) and magnetic resonance imaging (MRI) with regard to tumor extent, entity prediction, and therapy effects in clinical routine in patients with suspicion of a brain tumor was investigated. In n = 65 patients with histologically verified brain lesions n = 70 MET-PET and MRI (T1-weighted gadolinium-enhanced [T1w-Gd] and fluid-attenuated inversion recovery or T2-weighted [FLAIR/T2w]) examinations were performed. The computer software "visualization and analysis framework volume rendering engine (Voreen)" was used for analysis of extent and intersection of tumor compartments. Binary logistic regression models were developed to differentiate between World Health Organization (WHO) tumor types/grades. Tumor sizes as defined by thresholding based on tumor-to-background ratios were significantly different as determined by MET-PET (21.6 ± 36.8 cm3), T1w-Gd-MRI (3.9 ± 7.8 cm3), and FLAIR/T2-MRI (64.8 ± 60.4 cm3; P < .001). The MET-PET visualized tumor activity where MRI parameters were negative: PET positive tumor volume without Gd enhancement was 19.8 ± 35.0 cm3 and without changes in FLAIR/T2 10.3 ± 25.7 cm3. FLAIR/T2-MRI visualized greatest tumor extent with differences to MET-PET being greater in posttherapy (64.6 ± 62.7 cm3) than in newly diagnosed patients (20.5 ± 52.6 cm3). The binary logistic regression model differentiated between WHO tumor types (fibrillary astrocytoma II n = 10 from other gliomas n = 16) with an accuracy of 80.8% in patients at primary diagnosis. Combined PET and MRI improve the evaluation of tumor activity, extent, type/grade prediction, and therapy-induced changes in patients with glioma and serve information highly relevant for diagnosis and management.
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Affiliation(s)
- Kai R Laukamp
- 1 European Institute for Molecular Imaging, Westfälische Wilhelms-Universität Münster, Munster, Germany.,2 Department of Radiology, University Hospital of Cologne, Cologne, Germany
| | - Florian Lindemann
- 3 Department of Computer Science, Visualization and Computer Graphics Research Group, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Matthias Weckesser
- 4 Departments of Nuclear Medicine, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Volker Hesselmann
- 5 Departments of Radiology, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Sandra Ligges
- 6 Institute of Biostatistics and Clinical Research, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Johannes Wölfer
- 7 Department of Neurosurgery, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Astrid Jeibmann
- 8 Department of Neuropathology, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Bastian Zinnhardt
- 1 European Institute for Molecular Imaging, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Thomas Viel
- 1 European Institute for Molecular Imaging, Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Michael Schäfers
- 1 European Institute for Molecular Imaging, Westfälische Wilhelms-Universität Münster, Munster, Germany.,4 Departments of Nuclear Medicine, Westfälische Wilhelms-Universität Münster, Munster, Germany.,9 Cells-in-Motion Cluster of Excellence (EXC 1003-CiM), Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Werner Paulus
- 8 Department of Neuropathology, Westfälische Wilhelms-Universität Münster, Munster, Germany.,9 Cells-in-Motion Cluster of Excellence (EXC 1003-CiM), Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Walter Stummer
- 7 Department of Neurosurgery, Westfälische Wilhelms-Universität Münster, Munster, Germany.,9 Cells-in-Motion Cluster of Excellence (EXC 1003-CiM), Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Otmar Schober
- 1 European Institute for Molecular Imaging, Westfälische Wilhelms-Universität Münster, Munster, Germany.,4 Departments of Nuclear Medicine, Westfälische Wilhelms-Universität Münster, Munster, Germany.,9 Cells-in-Motion Cluster of Excellence (EXC 1003-CiM), Westfälische Wilhelms-Universität Münster, Munster, Germany
| | - Andreas H Jacobs
- 1 European Institute for Molecular Imaging, Westfälische Wilhelms-Universität Münster, Munster, Germany.,4 Departments of Nuclear Medicine, Westfälische Wilhelms-Universität Münster, Munster, Germany.,9 Cells-in-Motion Cluster of Excellence (EXC 1003-CiM), Westfälische Wilhelms-Universität Münster, Munster, Germany.,10 Department of Geriatric Medicine, Johanniter Hospital, Evangelische Kliniken, Bonn, Germany
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15
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Differentiation of Recurrent/Residual Glioma From Radiation Necrosis Using Semi Quantitative 99mTc MDM (Bis-Methionine-DTPA) Brain SPECT/CT and Dynamic Susceptibility Contrast-Enhanced MR Perfusion. Clin Nucl Med 2018; 43:e74-e81. [PMID: 29356734 DOI: 10.1097/rlu.0000000000001943] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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16
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Chiang GC, Kovanlikaya I, Choi C, Ramakrishna R, Magge R, Shungu DC. Magnetic Resonance Spectroscopy, Positron Emission Tomography and Radiogenomics-Relevance to Glioma. Front Neurol 2018; 9:33. [PMID: 29459844 PMCID: PMC5807339 DOI: 10.3389/fneur.2018.00033] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 01/15/2018] [Indexed: 12/22/2022] Open
Abstract
Advances in metabolic imaging techniques have allowed for more precise characterization of gliomas, particularly as it relates to tumor recurrence or pseudoprogression. Furthermore, the emerging field of radiogenomics where radiographic features are systemically correlated with molecular markers has the potential to achieve the holy grail of neuro-oncologic neuro-radiology, namely molecular diagnosis without requiring tissue specimens. In this section, we will review the utility of metabolic imaging and discuss the current state of the art related to the radiogenomics of glioblastoma.
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Affiliation(s)
- Gloria C Chiang
- Department of Neuroradiology, Weill Cornell Medical College, New York, NY, United States
| | - Ilhami Kovanlikaya
- Department of Neuroradiology, Weill Cornell Medical College, New York, NY, United States
| | - Changho Choi
- Radiology, Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Rohan Ramakrishna
- Department of Neurological Surgery, Weill Cornell Medical College, New York, NY, United States
| | - Rajiv Magge
- Department of Neurology, Weill Cornell Medical College, New York, NY, United States
| | - Dikoma C Shungu
- Department of Neuroradiology, Weill Cornell Medical College, New York, NY, United States
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17
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Li H, Deng L, Bai HX, Sun J, Cao Y, Tao Y, States LJ, Farwell MD, Zhang P, Xiao B, Yang L. Diagnostic Accuracy of Amino Acid and FDG-PET in Differentiating Brain Metastasis Recurrence from Radionecrosis after Radiotherapy: A Systematic Review and Meta-Analysis. AJNR Am J Neuroradiol 2018; 39:280-288. [PMID: 29242363 DOI: 10.3174/ajnr.a5472] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 09/19/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND Current studies that analyze the usefulness of amino acid and FDG-PET in distinguishing brain metastasis recurrence and radionecrosis after radiation therapy are limited by small cohort size. PURPOSE Our aim was to assess the diagnostic accuracy of amino acid and FDG-PET in differentiating brain metastasis recurrence from radionecrosis after radiation therapy. DATA SOURCES Studies were retrieved from PubMed, Embase, and the Cochrane Library. STUDY SELECTION Fifteen studies were included from the literature. Each study used PET to differentiate radiation necrosis from tumor recurrence in contrast-enhancing lesions on follow-up brain MR imaging after treating brain metastasis with radiation therapy. DATA ANALYSIS Data were analyzed with a bivariate random-effects model. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were pooled, and a summary receiver operating characteristic curve was fit to the data. DATA SYNTHESIS The overall pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of PET were 0.85, 0.88, 7.0, 0.17, and 40, respectively. The area under the receiver operating characteristic curve was 0.93. On subgroup analysis of different tracers, amino acid and FDG-PET had similar diagnostic accuracy. Meta-regression analysis demonstrated that the method of quantification based on patient, lesion, or PET scan (based on lesion versus not, P = .07) contributed to the heterogeneity. LIMITATIONS Our study was limited by small sample size, and 60% of the included studies were of retrospective design. CONCLUSIONS Amino acid and FDG-PET had good diagnostic accuracy in differentiating brain metastasis recurrence from radionecrosis after radiation therapy.
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Affiliation(s)
- H Li
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
| | - L Deng
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
| | - H X Bai
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - J Sun
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - Y Cao
- Cancer Research Institute (Y.C., Y.T.), Central South University, Changsha, Hunan Province, People's Republic of China
| | - Y Tao
- Cancer Research Institute (Y.C., Y.T.), Central South University, Changsha, Hunan Province, People's Republic of China
| | - L J States
- Department of Radiology (L.J.S.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - M D Farwell
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - P Zhang
- Pathology (P.Z.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - B Xiao
- Department of Neurology (B.X.), Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China.
| | - L Yang
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
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18
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Diagnostic accuracy of 11C-methionine PET in detecting neuropathologically confirmed recurrent brain tumor after radiation therapy. Ann Nucl Med 2017; 32:132-141. [DOI: 10.1007/s12149-017-1227-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 12/18/2017] [Indexed: 10/18/2022]
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19
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Mehta S, Shah A, Jung H. Diagnosis and treatment options for sequelae following radiation treatment of brain tumors. Clin Neurol Neurosurg 2017; 163:1-8. [DOI: 10.1016/j.clineuro.2017.09.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 09/26/2017] [Accepted: 09/27/2017] [Indexed: 10/18/2022]
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20
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Xu W, Gao L, Shao A, Zheng J, Zhang J. The performance of 11C-Methionine PET in the differential diagnosis of glioma recurrence. Oncotarget 2017; 8:91030-91039. [PMID: 29207622 PMCID: PMC5710903 DOI: 10.18632/oncotarget.19024] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 06/20/2017] [Indexed: 01/02/2023] Open
Abstract
Despite the advancement of neuroimaging techniques, it often remains a diagnostic challenge to distinguish recurrent glioma from lesions representing treatment effect. Preliminary reports suggest that 11C-methionine Positron emission tomography (PET) can assist in diagnosing true glioma recurrence. We present here a meta-analysis to assess the accuracy of 11C-methionine PET in identifying recurrent glioma in patients who had undergone prior therapy. A comprehensive search of the PubMed, Embase and Chinese Biomedical (CBM) databases yielded 23 eligible articles comprising 29 studies listed prior to November 20, 2016, representing 891 patients. In this report, we assess the methodological quality of each article individually and perform a meta-analysis to obtain the summary diagnostic accuracy of 11C-methionine PET in correctly identifying recurrent glioma. The pooled sensitivity and specificity are 0.88 (95% CI: 0.85, 0.91) and 0.85 (95% CI: 0.80, 0.89), respectively, with an area under the curve (AUC) for the summary receiver-operating characteristic curve (SROC) of 0.9352. We conclude that 11C-methionine PET has excellent diagnostic performance for differentiating glioma recurrence from treatment effect.
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Affiliation(s)
- Weilin Xu
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Liansheng Gao
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Anwen Shao
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jingwei Zheng
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jianmin Zhang
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.,Brain Research Institute, Zhejiang University, Hangzhou, Zhejiang, China.,Collaborative Innovation Center for Brain Science, Zhejiang University, Hangzhou, Zhejiang, China
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Sinclair G, Martin H, Fagerlund M, Samadi A, Benmakhlouf H, Doodo E. Adaptive hypofractionated gamma knife radiosurgery in the acute management of large thymic carcinoma brain metastases. Surg Neurol Int 2017; 8:95. [PMID: 28607829 PMCID: PMC5461566 DOI: 10.4103/sni.sni_391_16] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 03/09/2017] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Brain metastases often lead to serious neurological impairment and life threatening states. Their acute management remains complex, particularly in the case of rare malignancies with aggressive evolution. In large single lesions, open surgery followed by radiation to the surgical cavity is widely regarded as the best approach; yet in many cases, microsurgery is not feasible due to the lesion's critical location and/or the number of brain metastases present. We report the effects of adaptive hypofractionated gamma knife radiosurgery in the acute management of critically located thymic carcinoma metastases. CASE DESCRIPTION A 50-year-old male with metastatic thymic carcinoma was treated with radiosurgery for two large supratentorial brain metastases (M3 and M4) adjacent to eloquent areas and one smaller cerebellar metastasis (M2). M3 and M4 were treated with adaptive hypofractionated gamma knife radiosurgery, showing a dramatic volume reduction 4 weeks after treatment completion without radiation-induced side effects. Thirteen months later, two new small, threatening supratentorial lesions (M5-M6) were treated with the same technique. Interestingly, M2 (treated with standard single fraction) and M5-M6 developed local adverse radiation events. The patient's general and neurological status remained next to normal by the time of paper submission. CONCLUSION The application of adaptive hypofractionated radiosurgery in this acute setting proved effective in terms of rapid tumor ablation, with salvage of neurological functionality and limited toxicity. We have called the overall procedure rapid rescue radiosurgery (RRR). A systematic study of past and ongoing RRR-treatments is warranted and in progress.
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Affiliation(s)
- Georges Sinclair
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Heather Martin
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Michael Fagerlund
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - Amir Samadi
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
| | - Hamza Benmakhlouf
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Ernest Doodo
- Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden
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22
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Jena A, Taneja S, Jha A, Damesha NK, Negi P, Jadhav GK, Verma SM, Sogani SK. Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous 18F-FDG-PET/MRI: A Single-Institution Retrospective Study. AJNR Am J Neuroradiol 2017; 38:899-907. [PMID: 28341716 DOI: 10.3174/ajnr.a5124] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Accepted: 12/21/2016] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Differentiating glioma recurrence from treatment-induced necrosis can be a challenge on conventional imaging. This study aimed to assess the diagnostic performance of each functional MR imaging and PET parameter derived by using simultaneous FDG-PET/MR imaging individually and in combination in the evaluation of suspected glioma recurrence. MATERIALS AND METHODS Thirty-five treated glioma patients with 41 enhancing lesions (World Health Organization grade II = 9, III = 13, IV = 19) on MR imaging after an operation followed by radiation therapy and/or chemotherapy formed part of this study. Using PET/MR imaging, we calculated the normalized mean relative CBV, mean ADC, Cho/Cr, and maximum and mean target-to-background ratios. Statistical analysis was performed to determine the diagnostic performance of each parameter by receiver operating characteristic analysis individually and in combination with multivariate receiver operating characteristic analysis for the detection of glioma recurrence. Histopathology or clinicoradiologic follow-up was considered the criterion standard. RESULTS Of 35 patients, 25 (30 lesions) were classified as having a recurrence and 10 (11 lesions) patients as having treatment-induced necrosis. Parameters like rCBVmean (mean relative CBV), ADCmean, Cho/Cr, and maximum and mean target-to-background ratios were statistically significant in the detection of recurrent lesions with an accuracy of 77.5%, 78.0%, 90.9%, 87.8%, and 87.8%, respectively. On multivariate receiver operating characteristic analysis, the combination of all 3 MR imaging parameters resulted in an area under the curve of 0.913 ± 0.053. Furthermore, an area under the curve of 0.935 ± 0.046 was obtained when MR imaging parameters (ADCmean and Cho/Cr) were combined with the PET parameter (mean target-to-background ratio), demonstrating an increase in diagnostic accuracy. CONCLUSIONS Simultaneous PET/MR imaging with FDG offers correlative and synergistic multiparametric assessment of glioma recurrence with increased accuracy and clinical utility.
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Affiliation(s)
- A Jena
- From the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
| | - S Taneja
- From the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
| | - A Jha
- From the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
| | - N K Damesha
- Neurosurgery (N.K.D., S.K.S.), Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, India
| | - P Negi
- From the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
| | - G K Jadhav
- Departments of Molecular Imaging and Nuclear Medicine, Radiation Oncology (G.K.J., S.M.V.)
| | - S M Verma
- Departments of Molecular Imaging and Nuclear Medicine, Radiation Oncology (G.K.J., S.M.V.)
| | - S K Sogani
- Neurosurgery (N.K.D., S.K.S.), Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, India
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23
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Patel P, Baradaran H, Delgado D, Askin G, Christos P, John Tsiouris A, Gupta A. MR perfusion-weighted imaging in the evaluation of high-grade gliomas after treatment: a systematic review and meta-analysis. Neuro Oncol 2016; 19:118-127. [PMID: 27502247 DOI: 10.1093/neuonc/now148] [Citation(s) in RCA: 162] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Distinction between tumor and treatment related changes is crucial for clinical management of patients with high-grade gliomas. Our purpose was to evaluate whether dynamic susceptibility contrast-enhanced (DSC) and dynamic contrast enhanced (DCE) perfusion-weighted imaging (PWI) metrics can effectively differentiate between recurrent tumor and posttreatment changes within the enhancing signal abnormality on conventional MRI. METHODS A comprehensive literature search was performed for studies evaluating PWI-based differentiation of recurrent tumor and posttreatment changes in patients with high-grade gliomas (World Health Organization grades III and IV). Only studies published in the "temozolomide era" beginning in 2005 were included. Summary estimates of diagnostic accuracy were obtained by using a random-effects model. RESULTS Of 1581 abstracts screened, 28 articles were included. The pooled sensitivities and specificities of each study's best performing parameter were 90% and 88% (95% CI: 0.85-0.94; 0.83-0.92) and 89% and 85% (95% CI: 0.78-0.96; 0.77-0.91) for DSC and DCE, respectively. The pooled sensitivities and specificities for detecting tumor recurrence using the 2 most commonly evaluated parameters, mean relative cerebral blood volume (rCBV) (threshold range, 0.9-2.15) and maximum rCBV (threshold range, 1.49-3.1), were 88% and 88% (95% CI: 0.81-0.94; 0.78-0.95) and 93% and 76% (95% CI: 0.86-0.98; 0.66-0.85), respectively. CONCLUSIONS PWI-derived thresholds separating viable tumor from treatment changes demonstrate relatively good accuracy in individual studies. However, because of significant variability in optimal reported thresholds and other limitations in the existing body of literature, further investigation and standardization is needed before implementing any particular quantitative PWI strategy across institutions.
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Affiliation(s)
- Praneil Patel
- Department of Radiology, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, New York (P.P., H.B., A.J.T., A.G.); Samuel J. Wood Library & C. V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, New York (D.D.); Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York (G.A., P.C.)
| | - Hediyeh Baradaran
- Department of Radiology, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, New York (P.P., H.B., A.J.T., A.G.); Samuel J. Wood Library & C. V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, New York (D.D.); Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York (G.A., P.C.)
| | - Diana Delgado
- Department of Radiology, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, New York (P.P., H.B., A.J.T., A.G.); Samuel J. Wood Library & C. V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, New York (D.D.); Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York (G.A., P.C.)
| | - Gulce Askin
- Department of Radiology, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, New York (P.P., H.B., A.J.T., A.G.); Samuel J. Wood Library & C. V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, New York (D.D.); Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York (G.A., P.C.)
| | - Paul Christos
- Department of Radiology, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, New York (P.P., H.B., A.J.T., A.G.); Samuel J. Wood Library & C. V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, New York (D.D.); Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York (G.A., P.C.)
| | - Apostolos John Tsiouris
- Department of Radiology, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, New York (P.P., H.B., A.J.T., A.G.); Samuel J. Wood Library & C. V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, New York (D.D.); Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York (G.A., P.C.)
| | - Ajay Gupta
- Department of Radiology, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, New York (P.P., H.B., A.J.T., A.G.); Samuel J. Wood Library & C. V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, New York (D.D.); Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York (G.A., P.C.)
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Thackeray JT, Bankstahl JP, Wang Y, Wollert KC, Bengel FM. Targeting Amino Acid Metabolism for Molecular Imaging of Inflammation Early After Myocardial Infarction. Am J Cancer Res 2016; 6:1768-79. [PMID: 27570549 PMCID: PMC4997235 DOI: 10.7150/thno.15929] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 05/23/2016] [Indexed: 11/05/2022] Open
Abstract
Acute tissue inflammation after myocardial infarction influences healing and remodeling and has been identified as a target for novel therapies. Molecular imaging holds promise for guidance of such therapies. The amino acid (11)C-methionine is a clinically approved agent which is thought to accumulate in macrophages, but not in healthy myocytes. We assessed the suitability of positron emission tomography (PET) with (11)C-methionine for imaging post-MI inflammation, from cell to mouse to man. Uptake assays demonstrated 7-fold higher (11)C-methionine uptake by polarized pro-inflammatory M1 macrophages over anti-inflammatory M2 subtypes (p<0.001). C57Bl/6 mice (n=27) underwent coronary artery ligation or no surgery. Serial (11)C-methionine PET was performed 3, 5 and 7d later. MI mice exhibited a perfusion defect in 32-50% of the left ventricle (LV). PET detected increased (11)C-methionine accumulation in the infarct territory at 3d (5.9±0.9%ID/g vs 4.7±0.9 in remote myocardium, and 2.6±0.5 in healthy mice; p<0.05 and <0.01 respectively), which declined by d7 post-MI (4.3±0.6 in infarct, 3.4±0.8 in remote; p=0.03 vs 3d, p=0.08 vs healthy). Increased (11)C-methionine uptake was associated with macrophage infiltration of damaged myocardium. Treatment with anti-integrin antibodies (anti-CD11a, -CD11b, -CD49d; 100µg) lowered macrophage content by 56% and (11)C-methionine uptake by 46% at 3d post-MI. A patient study at 3d after ST-elevation MI and early reperfusion confirmed elevated (11)C-methionine uptake in the hypoperfused myocardial region. Targeting of elevated amino acid metabolism in pro-inflammatory M1 macrophages enables PET imaging-derived demarcation of tissue inflammation after MI. (11)C-methionine-based molecular imaging may assist in the translation of novel image-guided, inflammation-targeted regenerative therapies.
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25
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Fink AZ, Mogil LB, Lipton ML. Advanced neuroimaging in the clinic: critical appraisal of the evidence base. Br J Radiol 2016; 89:20150753. [PMID: 27074623 DOI: 10.1259/bjr.20150753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
The shortage of high-quality systematic reviews in the field of radiology limits evidence-based integration of imaging methods into clinical practice and may perpetuate misconceptions regarding the efficacy and appropriateness of imaging techniques for specific applications. Diffusion tensor imaging for patients with mild traumatic brain injury (DTI-mTBI) and dynamic susceptibility contrast MRI for patients with glioma (DSC-glioma) are applications of quantitative neuroimaging, which similarly detect manifestations of disease where conventional neuroimaging techniques cannot. We performed a critical appraisal of reviews, based on the current evidence-based medicine methodology, addressing the ability of DTI-mTBI and DSC-glioma to (a) detect brain abnormalities and/or (b) predict clinical outcomes. 23 reviews of DTI-mTBI and 26 reviews of DSC-glioma met criteria for inclusion. All reviews addressed detection of brain abnormalities, whereas 12 DTI-mTBI reviews and 22 DSC-glioma reviews addressed prediction of a clinical outcome. All reviews were assessed using a critical appraisal worksheet consisting of 19 yes/no questions. Reviews were graded according to the total number of positive responses and the 2011 Oxford Centre for evidence-based medicine levels of evidence criteria. Reviews addressing DTI-mTBI detection had moderate quality, while those addressing DSC-glioma were of low quality. Reviews addressing prediction of outcomes for both applications were of low quality. Five DTI-mTBI reviews, but only one review of DSC-glioma met criteria for classification as a meta-analysis/systematic/quantitative review.
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Affiliation(s)
- Adam Z Fink
- 1 The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lisa B Mogil
- 1 The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA.,2 SUNY Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY, USA
| | - Michael L Lipton
- 1 The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA.,3 Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA.,4 The Dominick P Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.,5 Department of Radiology, Montefiore Medical Center, Bronx, NY, USA.,6 Departments of Radiology, Albert Einstein College of Medicine, Bronx, NY, USA
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26
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Buscombe JR. Exploring the nature of atheroma and cardiovascular inflammation in vivo using positron emission tomography (PET). Br J Radiol 2015; 88:20140648. [PMID: 26110339 DOI: 10.1259/bjr.20140648] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Positron emission tomography (PET) has become widely established in oncology. Subsequently, a whole new “toolbox” of tracers have become available to look at different aspects of cancer cell function and dysfunction, including cell protein production, DNA synthesis, hypoxia and angiogenesis. In the past 5 years, these tools have been used increasingly to look at the other great killer of the developed world: cardiovascular disease. For example, inflammation of the unstable plaque can be imaged with 18-fludeoxyglucose (18F-FDG), and this uptake can be quantified to show the effect that statins have in reducing inflammation and explains how these drugs can reduce the risk of stroke. 18F-FDG has also become established in diagnosing and monitoring large-vessel vasculitis and has now entered routine practice. Other agents such as gallium-68 (68Ga) octreotide have been shown to identify vascular inflammation possibly more specifically than 18FFDG.Hypoxia within the plaque can be imaged with 18F-fluoromisonidazole and resulting angiogenesis with 18F-RGD peptides. Active calcification such as that found in unstable atheromatous plaques can be imaged with 18F-NaF. PET imaging enables us to understand the mechanisms by which cardiovascular disease, including atheroma, leads tomorbidity and death and thus increases the chance of finding new and effective treatments.
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27
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99mTc-MDM Brain SPECT for the Detection of Recurrent/Remnant Glioma—Comparison With ceMRI and 18F-FLT PET Imaging. Clin Nucl Med 2015. [DOI: 10.1097/rlu.0000000000000881] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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28
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Dankbaar JW, Snijders TJ, Robe PA, Seute T, Eppinga W, Hendrikse J, De Keizer B. The use of (18)F-FDG PET to differentiate progressive disease from treatment induced necrosis in high grade glioma. J Neurooncol 2015; 125:167-75. [PMID: 26384811 PMCID: PMC4592487 DOI: 10.1007/s11060-015-1883-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Accepted: 08/08/2015] [Indexed: 11/25/2022]
Abstract
In the follow-up of patients treated for high grade glioma, differentiation between progressive disease (PD) and treatment-induced necrosis (TIN) is challenging. The purpose of this study is to evaluate the diagnostic accuracy of FDG PET for the differentiation between TIN and PD after high grade glioma treatment. We retrospectively identified patients between January 2011 and July 2013 that met the following criteria: age >18; glioma grade 3 or 4; treatment with radiotherapy or chemoradiotherapy; new or progressive enhancement on post treatment MRI; FDG PET within 4 weeks of MRI. Absolute and relative (to contralateral white matter) values of SUVmax and SUVpeak were determined in new enhancing lesions on MRI. The outcome of PD or TIN was determined by neurosurgical biopsy/resection, follow-up MRI, or clinical deterioration. The association between FDG PET and outcome was analyzed with univariate logistic regression and ROC analysis for: all lesions, lesions >10, >15, and >20 mm. We included 30 patients (5 grade 3 and 25 grade 4), with 39 enhancing lesions on MRI. Twenty-nine lesions represented PD and 10 TIN. Absolute and relative values of SUVmax and SUVpeak showed no significant differences between PD and TIN. ROC analysis showed highest AUCs for relative SUVpeak in all lesion sizes. Relative SUVpeak for lesions >20 mm showed reasonable discriminative properties [AUC 0.69 (0.41–0.96)]. FDG PET has reasonable discriminative properties for differentiation of PD from TIN in high grade gliomas larger than 20 mm. Overall diagnostic performance is insufficient to guide clinical decision-making.
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Affiliation(s)
- J W Dankbaar
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
| | - T J Snijders
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - P A Robe
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - T Seute
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - W Eppinga
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J Hendrikse
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - B De Keizer
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands
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Treglia G, Sadeghi R, Del Sole A, Giovanella L. Diagnostic performance of PET/CT with tracers other than F-18-FDG in oncology: an evidence-based review. Clin Transl Oncol 2014; 16:770-5. [DOI: 10.1007/s12094-014-1168-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 02/17/2014] [Indexed: 01/09/2023]
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