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Schack A, Aunan-Diop JS, Gerhardt FA, Pedersen CB, Halle B, Kofoed MS, Markovic L, Wirenfeldt M, Poulsen FR. Evaluating the Efficacy of Perfusion MRI and Conventional MRI in Distinguishing Recurrent Cerebral Metastasis from Brain Radiation Necrosis. Brain Sci 2024; 14:321. [PMID: 38671973 PMCID: PMC11048647 DOI: 10.3390/brainsci14040321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Differentiating recurrent cerebral metastasis (CM) from brain radiation necrosis (BRN) is pivotal for guiding appropriate treatment and prognostication. Despite advances in imaging techniques, however, accurately distinguishing these conditions non-invasively is still challenging. This single-center retrospective study reviewed 32 cases (28 patients) with confirmed cerebral metastases who underwent surgical excision of lesions initially diagnosed by MRI and/or MR perfusion scans from 1 January 2015 to 30 September 2020. Diagnostic accuracy was assessed by comparing imaging findings with postoperative histopathology. Conventional MRI accurately identified recurrent CM in 75% of cases. MR perfusion scans showed significantly higher mean maximum relative cerebral blood volume (max. rCBV) in metastasis cases, indicating its potential as a discriminative biomarker. No single imaging modality could definitively distinguish CM from BRN. Survival analysis revealed gender as the only significant factor affecting overall survival, with no significant survival difference observed between patients with CM and BRN after controlling for confounding factors. This study underscores the limitations of both conventional MRI and MR perfusion scans in differentiating recurrent CM from BRN. Histopathological examination remains essential for accurate diagnosis. Further research is needed to improve the reliability of non-invasive imaging and to guide the management of patients with these post-radiation events.
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Affiliation(s)
- Anders Schack
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Jan Saip Aunan-Diop
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Frederik A. Gerhardt
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Christian Bonde Pedersen
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Bo Halle
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Mikkel S. Kofoed
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Ljubo Markovic
- Department of Radiology, Odense University Hospital, DK-5000 Odense, Denmark
| | - Martin Wirenfeldt
- Department of Pathology, University Hospital of Southern Denmark, DK-6000 Esbjerg, Denmark
- Department of Regional Health Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Frantz Rom Poulsen
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
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Mayo ZS, Billena C, Suh JH, Lo SS, Chao ST. The dilemma of radiation necrosis from diagnosis to treatment in the management of brain metastases. Neuro Oncol 2024; 26:S56-S65. [PMID: 38437665 PMCID: PMC10911797 DOI: 10.1093/neuonc/noad188] [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] [Indexed: 03/06/2024] Open
Abstract
Radiation therapy with stereotactic radiosurgery (SRS) or whole brain radiation therapy is a mainstay of treatment for patients with brain metastases. The use of SRS in the management of brain metastases is becoming increasingly common and provides excellent local control. Cerebral radiation necrosis (RN) is a late complication of radiation treatment that can be seen months to years following treatment and is often indistinguishable from tumor progression on conventional imaging. In this review article, we explore risk factors associated with the development of radiation necrosis, advanced imaging modalities used to aid in diagnosis, and potential treatment strategies to manage side effects.
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Affiliation(s)
- Zachary S Mayo
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Cole Billena
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
| | - John H Suh
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington, Seattle, Washington, USA
| | - Samuel T Chao
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
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3
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Ortiz de Mendivil A, Martín-Medina P, García-Cañamaque L, Jiménez-Munarriz B, Ciérvide R, Diamantopoulos J. Challenges in radiological evaluation of brain metastases, beyond progression. RADIOLOGIA 2024; 66:166-180. [PMID: 38614532 DOI: 10.1016/j.rxeng.2024.03.003] [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: 11/15/2022] [Accepted: 04/02/2023] [Indexed: 04/15/2024]
Abstract
MRI is the cornerstone in the evaluation of brain metastases. The clinical challenges lie in discriminating metastases from mimickers such as infections or primary tumors and in evaluating the response to treatment. The latter sometimes leads to growth, which must be framed as pseudo-progression or radionecrosis, both inflammatory phenomena attributable to treatment, or be considered as recurrence. To meet these needs, imaging techniques are the subject of constant research. However, an exponential growth after radiotherapy must be interpreted with caution, even in the presence of results suspicious of tumor progression by advanced techniques, because it may be due to inflammatory changes. The aim of this paper is to familiarize the reader with inflammatory phenomena of brain metastases treated with radiotherapy and to describe two related radiological signs: "the inflammatory cloud" and "incomplete ring enhancement", in order to adopt a conservative management with close follow-up.
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Affiliation(s)
- A Ortiz de Mendivil
- Servicio de Radiodiagnóstico, Sección de Neurorradiología, Hospital Universitario HM Sanchinarro, Madrid, Spain.
| | - P Martín-Medina
- Servicio de Radiodiagnóstico, Sección de Neurorradiología, Hospital Universitario HM Sanchinarro, Madrid, Spain
| | | | - B Jiménez-Munarriz
- Servicio de Oncología Médica, Hospital Universitario HM Sanchinarro, Madrid, Spain
| | - R Ciérvide
- Servicio de Oncología Radioterápica, Hospital Universitario HM Sanchinarro, Madrid, Spain
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4
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Salans M, Ni L, Morin O, Ziemer B, Capaldi DPI, Raleigh DR, Vasudevan HN, Chew J, Nakamura J, Sneed PK, Boreta L, Villanueva-Meyer JE, Theodosopoulos P, Braunstein S. Adverse radiation effect versus tumor progression following stereotactic radiosurgery for brain metastases: Implications of radiologic uncertainty. J Neurooncol 2024; 166:535-546. [PMID: 38316705 PMCID: PMC10876820 DOI: 10.1007/s11060-024-04578-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 01/17/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND Adverse radiation effect (ARE) following stereotactic radiosurgery (SRS) for brain metastases is challenging to distinguish from tumor progression. This study characterizes the clinical implications of radiologic uncertainty (RU). METHODS Cases reviewed retrospectively at a single-institutional, multi-disciplinary SRS Tumor Board between 2015-2022 for RU following SRS were identified. Treatment history, diagnostic or therapeutic interventions performed upon RU resolution, and development of neurologic deficits surrounding intervention were obtained from the medical record. Differences in lesion volume and maximum diameter at RU onset versus resolution were compared with paired t-tests. Median time from RU onset to resolution was estimated using the Kaplan-Meier method. Univariate and multivariate associations between clinical characteristics and time to RU resolution were assessed with Cox proportional-hazards regression. RESULTS Among 128 lesions with RU, 23.5% had undergone ≥ 2 courses of radiation. Median maximum diameter (20 vs. 16 mm, p < 0.001) and volume (2.7 vs. 1.5 cc, p < 0.001) were larger upon RU resolution versus onset. RU resolution took > 6 and > 12 months in 25% and 7% of cases, respectively. Higher total EQD2 prior to RU onset (HR = 0.45, p = 0.03) and use of MR perfusion (HR = 0.56, p = 0.001) correlated with shorter time to resolution; larger volume (HR = 1.05, p = 0.006) portended longer time to resolution. Most lesions (57%) were diagnosed as ARE. Most patients (58%) underwent an intervention upon RU resolution; of these, 38% developed a neurologic deficit surrounding intervention. CONCLUSIONS RU resolution took > 6 months in > 25% of cases. RU may lead to suboptimal outcomes and symptom burden. Improved characterization of post-SRS RU is needed.
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Affiliation(s)
- Mia Salans
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Lisa Ni
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Olivier Morin
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Benjamin Ziemer
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Dante P I Capaldi
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - David R Raleigh
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
- Department of Pathology, University of California San Francisco (DRR), San Francisco, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
| | - Jessica Chew
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Jean Nakamura
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Penny K Sneed
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Lauren Boreta
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA
| | - Javier E Villanueva-Meyer
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco (JEVM), San Francisco, USA
| | - Philip Theodosopoulos
- Department of Neurosurgery, University of California San Francisco (DRR, JEVM, PT), San Francisco, USA
| | - Steve Braunstein
- Department of Radiation Oncology, University of California San Francisco (MS, LN, OM, BZ, DPIC, DRR, HNV, JC, JN, PKS, LB, SB), 505 Parnassus Ave, L75, San Francisco, CA, 94158, USA.
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5
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Vellayappan B, Lim-Fat MJ, Kotecha R, De Salles A, Fariselli L, Levivier M, Ma L, Paddick I, Pollock BE, Regis J, Sheehan JP, Suh JH, Yomo S, Sahgal A. A Systematic Review Informing the Management of Symptomatic Brain Radiation Necrosis After Stereotactic Radiosurgery and International Stereotactic Radiosurgery Society Recommendations. Int J Radiat Oncol Biol Phys 2024; 118:14-28. [PMID: 37482137 DOI: 10.1016/j.ijrobp.2023.07.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 07/02/2023] [Accepted: 07/14/2023] [Indexed: 07/25/2023]
Abstract
Radiation necrosis (RN) secondary to stereotactic radiosurgery is a significant cause of morbidity. The optimal management of corticosteroid-refractory brain RN remains unclear. Our objective was to summarize the literature specific to efficacy and toxicity of treatment paradigms for patients with symptomatic corticosteroid-refractory RN and to provide consensus guidelines for grading and management of RN on behalf of the International Stereotactic Radiosurgery Society. A systematic review of articles pertaining to treatment of RN with bevacizumab, laser interstitial thermal therapy (LITT), surgical resection, or hyperbaric oxygen therapy was performed. The primary composite outcome was clinical and/or radiologic stability/improvement (ie, proportion of patients achieving improvement or stability with the given intervention). Proportions of patients achieving the primary outcome were pooled using random weighted-effects analysis but not directly compared between interventions. Twenty-one articles were included, of which only 2 were prospective studies. Thirteen reports were relevant for bevacizumab, 5 for LITT, 5 for surgical resection and 1 for hyperbaric oxygen therapy. Weighted effects analysis revealed that bevacizumab had a pooled symptom improvement/stability rate of 86% (95% CI 77%-92%), pooled T2 imaging improvement/stability rate of 93% (95% CI 87%-98%), and pooled T1 postcontrast improvement/stability rate of 94% (95% CI 87%-98%). Subgroup analysis showed a statistically significant improvement favoring treatment with low-dose (below median, ≤7.5 mg/kg every 3 weeks) versus high-dose bevacizumab with regards to symptom improvement/stability rate (P = .02) but not for radiologic T1 or T2 changes. The pooled T1 postcontrast improvement/stability rate for LITT was 88% (95% CI 82%-93%), and pooled symptom improvement/stability rate for surgery was 89% (95% CI 81%-96%). Toxicity was inconsistently reported but was generally low for all treatment paradigms. Corticosteroid-refractory RN that does not require urgent surgical intervention, with sufficient noninvasive diagnostic testing that favors RN, can be treated medically with bevacizumab in carefully selected patients as a strong recommendation. The role of LITT is evolving as a less invasive image guided surgical modality; however, the overall evidence for each modality is of low quality. Prospective head-to-head comparisons are needed to evaluate the relative efficacy and toxicity profile among treatment approaches.
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Affiliation(s)
- Balamurugan Vellayappan
- Department of Radiation Oncology, National University Cancer Institute Singapore, National University Hospital, Singapore.
| | - Mary Jane Lim-Fat
- Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - Antonio De Salles
- Department of Neurosurgery, University of California, Los Angeles, California; HCor Neuroscience, São Paulo, Brazil
| | - Laura Fariselli
- Department of Neurosurgery, Unit of Radiotherapy, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - Marc Levivier
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Lijun Ma
- Department of Radiation Oncology, University of Southern California, Los Angeles, California
| | - Ian Paddick
- Division Physics, National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Bruce E Pollock
- Department of Neurological Surgery, Mayo Clinic, Rochester, Minnesota
| | - Jean Regis
- Department of Functional Neurosurgery, Aix Marseille University, Timone University Hospital, Marseille, France
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - John H Suh
- Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - Shoji Yomo
- Division of Radiation Oncology, Aizawa Comprehensive Cancer Center, Aizawa Hospital, Matsumoto, Japan
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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6
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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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7
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Dobeson CB, Birkbeck M, Bhatnagar P, Hall J, Pearson R, West S, English P, Butteriss D, Perthen J, Lewis J. Perfusion MRI in the evaluation of brain metastases: current practice review and rationale for study of baseline MR perfusion imaging prior to stereotactic radiosurgery (STARBEAM-X). Br J Radiol 2023; 96:20220462. [PMID: 37660364 PMCID: PMC10646666 DOI: 10.1259/bjr.20220462] [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: 04/29/2022] [Revised: 07/04/2023] [Accepted: 08/21/2023] [Indexed: 09/05/2023] Open
Abstract
Stereotactic radiosurgery is an established focal treatment for brain metastases with high local control rates. An important side-effect of stereotactic radiosurgery is the development of radionecrosis. On conventional MR imaging, radionecrosis and tumour progression often have similar appearances, but have contrasting management approaches. Perfusion MR imaging is often used in the post-treatment setting in order to help distinguish between the two, but image interpretation can be fraught with challenges.Perfusion MR plays an established role in the baseline and post-treatment evaluation of primary brain tumours and a number of studies have concentrated on the value of perfusion imaging in brain metastases. Of the parameters generated, relative cerebral blood volume is the most widely used variable in terms of its clinical value in differentiating between radionecrosis and tumour progression. Although it has been suggested that the relative cerebral blood volume tends to be elevated in active metastatic disease following treatment with radiosurgery, but not with treatment-related changes, the literature available on interpretation of the ratios provided in the context of defining tumour progression is not consistent.This article aims to provide an overview of the role perfusion MRI plays in the assessment of brain metastases and introduces the rationale for the STARBEAM-X study (Study of assessment of radionecrosis in brain metastases using MR perfusion extra imaging), which will prospectively evaluate baseline perfusion imaging in brain metastases. We hope this will allow insight into the vascular appearance of metastases from different primary sites, and aid in the interpretation of post-treatment perfusion imaging.
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Affiliation(s)
| | - Matthew Birkbeck
- Northern Medical Physics and Clinical Engineering, Freeman Hospital, Newcastle upon Tyne, UK
| | - Priya Bhatnagar
- Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Julie Hall
- Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Rachel Pearson
- Department of Oncology, Northern Centre for Cancer Care, Freeman Hospital, Newcastle upon Tyne, UK
| | - Serena West
- Department of Oncology, Northern Centre for Cancer Care, Freeman Hospital, Newcastle upon Tyne, UK
| | - Philip English
- Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - David Butteriss
- Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Joanna Perthen
- Department of Neuroradiology, Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - Joanne Lewis
- Department of Oncology, Northern Centre for Cancer Care, Freeman Hospital, Newcastle upon Tyne, UK
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8
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Diehl CD, Giordano FA, Grosu AL, Ille S, Kahl KH, Onken J, Rieken S, Sarria GR, Shiban E, Wagner A, Beck J, Brehmer S, Ganslandt O, Hamed M, Meyer B, Münter M, Raabe A, Rohde V, Schaller K, Schilling D, Schneider M, Sperk E, Thomé C, Vajkoczy P, Vatter H, Combs SE. Opportunities and Alternatives of Modern Radiation Oncology and Surgery for the Management of Resectable Brain Metastases. Cancers (Basel) 2023; 15:3670. [PMID: 37509330 PMCID: PMC10377800 DOI: 10.3390/cancers15143670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
Postsurgical radiotherapy (RT) has been early proven to prevent local tumor recurrence, initially performed with whole brain RT (WBRT). Subsequent to disadvantageous cognitive sequalae for the patient and the broad distribution of modern linear accelerators, focal irradiation of the tumor has omitted WBRT in most cases. In many studies, the effectiveness of local RT of the resection cavity, either as single-fraction stereotactic radiosurgery (SRS) or hypo-fractionated stereotactic RT (hFSRT), has been demonstrated to be effective and safe. However, whereas prospective high-level incidence is still lacking on which dose and fractionation scheme is the best choice for the patient, further ablative techniques have come into play. Neoadjuvant SRS (N-SRS) prior to resection combines straightforward target delineation with an accelerated post-surgical phase, allowing an earlier start of systemic treatment or rehabilitation as indicated. In addition, low-energy intraoperative RT (IORT) on the surgical bed has been introduced as another alternative to external beam RT, offering sterilization of the cavity surface with steep dose gradients towards the healthy brain. This consensus paper summarizes current local treatment strategies for resectable brain metastases regarding available data and patient-centered decision-making.
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Affiliation(s)
- Christian D Diehl
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, 80336 München, Germany
| | - Frank A Giordano
- Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Anca-L Grosu
- Department of Radiation Oncology, University Medical Center, Medical Faculty, 79106 Freiburg, Germany
| | - Sebastian Ille
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Klaus-Henning Kahl
- Department of Radiation Oncology, University Medical Center Augsburg, 86156 Augsburg, Germany
| | - Julia Onken
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
- Berlin Institute of Health, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Stefan Rieken
- Department of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany
- Comprehensive Cancer Center Niedersachsen (CCC-N), 37075 Göttingen, Germany
| | - Gustavo R Sarria
- Department of Radiation Oncology, University Hospital Bonn, University of Bonn, 53127 Bonn, Germany
| | - Ehab Shiban
- Department of Neurosurgery, University Medical Center Augsburg, 86156 Augsburg, Germany
| | - Arthur Wagner
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Jürgen Beck
- Department of Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany
| | - Stefanie Brehmer
- Department of Neurosurgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Oliver Ganslandt
- Neurosurgical Clinic, Klinikum Stuttgart, 70174 Stuttgart, Germany
| | - Motaz Hamed
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Marc Münter
- Department of Radiation Oncology, Klinikum Stuttgart Katharinenhospital, 70174 Stuttgart, Germany
| | - Andreas Raabe
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Veit Rohde
- Department of Neurosurgery, Universitätsmedizin Göttingen, 37075 Göttingen, Germany
| | - Karl Schaller
- Department of Neurosurgery, University of Geneva Medical Center & Faculty of Medicine, 1211 Geneva, Switzerland
| | - Daniela Schilling
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Matthias Schneider
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Elena Sperk
- Mannheim Cancer Center, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Claudius Thomé
- Department of Neurosurgery, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Hartmut Vatter
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, 80336 München, Germany
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9
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Soffietti R, Pellerino A, Bruno F, Mauro A, Rudà R. Neurotoxicity from Old and New Radiation Treatments for Brain Tumors. Int J Mol Sci 2023; 24:10669. [PMID: 37445846 DOI: 10.3390/ijms241310669] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/18/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Research regarding the mechanisms of brain damage following radiation treatments for brain tumors has increased over the years, thus providing a deeper insight into the pathobiological mechanisms and suggesting new approaches to minimize this damage. This review has discussed the different factors that are known to influence the risk of damage to the brain (mainly cognitive disturbances) from radiation. These include patient and tumor characteristics, the use of whole-brain radiotherapy versus particle therapy (protons, carbon ions), and stereotactic radiotherapy in various modalities. Additionally, biological mechanisms behind neuroprotection have been elucidated.
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Affiliation(s)
- Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Alessia Pellerino
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Alessandro Mauro
- Department of Neuroscience "Rita Levi Montalcini", University of Turin and City of Health and Science University Hospital, 10126 Turin, Italy
- I.R.C.C.S. Istituto Auxologico Italiano, Division of Neurology and Neuro-Rehabilitation, San Giuseppe Hospital, 28824 Piancavallo, Italy
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
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10
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Mayo ZS, Halima A, Broughman JR, Smile TD, Tom MC, Murphy ES, Suh JH, Lo SS, Barnett GH, Wu G, Johnson S, Chao ST. Radiation necrosis or tumor progression? A review of the radiographic modalities used in the diagnosis of cerebral radiation necrosis. J Neurooncol 2023; 161:23-31. [PMID: 36633800 DOI: 10.1007/s11060-022-04225-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023]
Abstract
PURPOSE Cerebral radiation necrosis is a complication of radiation therapy that can be seen months to years following radiation treatment. Differentiating radiation necrosis from tumor progression on standard magnetic resonance imaging (MRI) is often difficult and advanced imaging techniques may be needed to make an accurate diagnosis. The purpose of this article is to review the imaging modalities used in differentiating radiation necrosis from tumor progression following radiation therapy for brain metastases. METHODS We performed a review of the literature addressing the radiographic modalities used in the diagnosis of radiation necrosis. RESULTS Differentiating radiation necrosis from tumor progression remains a diagnostic challenge and advanced imaging modalities are often required to make a definitive diagnosis. If diagnostic uncertainty remains following conventional imaging, a multi-modality diagnostic approach with perfusion MRI, magnetic resonance spectroscopy (MRS), positron emission tomography (PET), single photon emission spectroscopy (SPECT), and radiomics may be used to improve diagnosis. CONCLUSION Several imaging modalities exist to aid in the diagnosis of radiation necrosis. Future studies developing advanced imaging techniques are needed.
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Affiliation(s)
- Zachary S Mayo
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Ahmed Halima
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - James R Broughman
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Timothy D Smile
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Martin C Tom
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Erin S Murphy
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA.,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - John H Suh
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA.,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Gene H Barnett
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.,Department of Neurosurgery, Cleveland Clinic, Cleveland, OH, USA
| | - Guiyun Wu
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Scott Johnson
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Samuel T Chao
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA. .,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
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11
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Devan SP, Jiang X, Kang H, Luo G, Xie J, Zu Z, Stokes AM, Gore JC, McKnight CD, Kirschner AN, Xu J. Towards differentiation of brain tumor from radiation necrosis using multi-parametric MRI: Preliminary results at 4.7 T using rodent models. Magn Reson Imaging 2022; 94:144-150. [PMID: 36209946 PMCID: PMC10167709 DOI: 10.1016/j.mri.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/15/2022] [Accepted: 10/01/2022] [Indexed: 02/13/2023]
Abstract
BACKGROUND It remains a clinical challenge to differentiate brain tumors from radiation-induced necrosis in the brain. Despite significant improvements, no single MRI method has been validated adequately in the clinical setting. METHODS Multi-parametric MRI (mpMRI) was performed to differentiate 9L gliosarcoma from radiation necrosis in animal models. Five types of MRI methods probed complementary information on different scales i.e., T2 (relaxation), CEST based APT (probing mobile proteins/peptides) and rNOE (mobile macromolecules), qMT (macromolecules), diffusion based ADC (cell density) and SSIFT iAUC (cell size), and perfusion based DSC (blood volume and flow). RESULTS For single MRI parameters, iAUC and ADC provide the best discrimination of radiation necrosis and brain tumor. For mpMRI, a combination of iAUC, ADC, and APT shows the best classification performance based on a two-step analysis with the Lasso and Ridge regressions. CONCLUSION A general mpMRI approach is introduced to choosing candidate multiple MRI methods, identifying the most effective parameters from all the mpMRI parameters, and finding the appropriate combination of chosen parameters to maximize the classification performance to differentiate tumors from radiation necrosis.
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Affiliation(s)
- Sean P Devan
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN, United States
| | - Xiaoyu Jiang
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Guozhen Luo
- Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jingping Xie
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Zhongliang Zu
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Ashley M Stokes
- Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, AZ, United States
| | - John C Gore
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States; Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States
| | - Colin D McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Austin N Kirschner
- Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Junzhong Xu
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States; Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States.
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12
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Devan SP, Jiang X, Luo G, Xie J, Quirk JD, Engelbach JA, Harmsen H, McKinley ET, Cui J, Zu Z, Attia A, Garbow JR, Gore JC, McKnight CD, Kirschner AN, Xu J. Selective Cell Size MRI Differentiates Brain Tumors from Radiation Necrosis. Cancer Res 2022; 82:3603-3613. [PMID: 35877201 PMCID: PMC9532360 DOI: 10.1158/0008-5472.can-21-2929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 02/05/2022] [Accepted: 07/21/2022] [Indexed: 11/16/2022]
Abstract
Brain metastasis is a common characteristic of late-stage lung cancers. High doses of targeted radiotherapy can control tumor growth in the brain but can also result in radiotherapy-induced necrosis. Current methods are limited for distinguishing whether new parenchymal lesions following radiotherapy are recurrent tumors or radiotherapy-induced necrosis, but the clinical management of these two classes of lesions differs significantly. Here, we developed, validated, and evaluated a new MRI technique termed selective size imaging using filters via diffusion times (SSIFT) to differentiate brain tumors from radiotherapy necrosis in the brain. This approach generates a signal filter that leverages diffusion time dependence to establish a cell size-weighted map. Computer simulations in silico, cultured cancer cells in vitro, and animals with brain tumors in vivo were used to comprehensively validate the specificity of SSIFT for detecting typical large cancer cells and the ability to differentiate brain tumors from radiotherapy necrosis. SSIFT was also implemented in patients with metastatic brain cancer and radiotherapy necrosis. SSIFT showed high correlation with mean cell sizes in the relevant range of less than 20 μm. The specificity of SSIFT for brain tumors and reduced contrast in other brain etiologies allowed SSIFT to differentiate brain tumors from peritumoral edema and radiotherapy necrosis. In conclusion, this new, cell size-based MRI method provides a unique contrast to differentiate brain tumors from other pathologies in the brain. SIGNIFICANCE This work introduces and provides preclinical validation of a new diffusion MRI method that exploits intrinsic differences in cell sizes to distinguish brain tumors and radiotherapy necrosis.
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Affiliation(s)
- Sean P Devan
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN, 37232, USA
| | - Xiaoyu Jiang
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Guozhen Luo
- Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jingping Xie
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - James D Quirk
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA
| | - John A Engelbach
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA
| | - Hannah Harmsen
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Eliot T McKinley
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, 37232, USA
| | - Jing Cui
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Zhongliang Zu
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Albert Attia
- Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Joel R Garbow
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63110, USA
- Alvin J Siteman Cancer Center, Washington University, St. Louis, MO, 63110, USA
| | - John C. Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Department of Physics and Astronomy, Vanderbilt University, Nashville, TN 37232, USA
| | - Colin D McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Austin N Kirschner
- Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Junzhong Xu
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA
- Department of Physics and Astronomy, Vanderbilt University, Nashville, TN 37232, USA
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13
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Otman H, Farce J, Meneret P, Palard-Novello X, Le Reste PJ, Lecouillard I, Vauleon E, Chanchou M, Carsin Nicol B, Bertaux M, Devillers A, Mariano-Goulart D, Cachin F, Girard A, Le Jeune F. Delayed [ 18 F]-FDG PET Imaging Increases Diagnostic Performance and Reproducibility to Differentiate Recurrence of Brain Metastases From Radionecrosis. Clin Nucl Med 2022; 47:800-806. [PMID: 35695724 DOI: 10.1097/rlu.0000000000004305] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
PURPOSE Differentiating brain metastasis recurrence from radiation necrosis can be challenging during MRI follow-up after stereotactic radiotherapy. [ 18 F]-FDG is the most available PET tracer, but standard images performed 30 to 60 minutes postinjection provide insufficient accuracy. We compared the diagnostic performance and interobserver agreement of [ 18 F]-FDG PET with delayed images (4-5 hours postinjection) with the ones provided by standard and dual-time-point imaging. METHODS Consecutive patients referred for brain [ 18 F]-FDG PET after inconclusive MRI were retrospectively included between 2015 and 2020 in 3 centers. Two independent nuclear medicine physicians interpreted standard (visually), delayed (visually), and dual-time-point (semiquantitatively) images, respectively. Adjudication was applied in case of discrepancy. The final diagnosis was confirmed histologically or after 6 months of MRI follow-up. Areas under the receiver operating characteristic curves were pairwise compared. RESULTS Forty-eight lesions from 46 patients were analyzed. Primary tumors were mostly located in the lungs (57%) and breast (23%). The median delay between radiotherapy and PET was 15.7 months. The final diagnosis was tumor recurrence in 24 of 48 lesions (50%), with histological confirmation in 19 of 48 lesions (40%). Delayed images provided a larger area under the receiver operating characteristic curve (0.88; 95% confidence interval [CI], 0.75-0.95) than both standard (0.69; 95% CI, 0.54-0.81; P = 0.0014) and dual-time-point imaging (0.77; 95% CI, 0.63-0.88; P = 0.045), respectively. Interobserver agreement was almost perfect with delayed images ( κ = 0.83), whereas it was moderate with both standard ( κ = 0.48) and dual-time-point images ( κ = 0.61). CONCLUSIONS [ 18 F]-FDG PET with delayed images is an accurate and reliable alternative to differentiate metastasis recurrence from radiation necrosis in case of inconclusive MRI after brain stereotactic radiotherapy.
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Affiliation(s)
- Hosameldin Otman
- From the Department of Nuclear Medicine, Jean Perrin Center, Clermont-Ferrand
| | - Julien Farce
- Department of Nuclear Medicine, Eugène Marquis Center
| | | | | | | | | | | | | | | | - Marc Bertaux
- Department of Nuclear Medicine, Foch hospital, Suresnes
| | | | - Denis Mariano-Goulart
- Department of Nuclear Medicine. Montpellier University Hospital. PYMEDEXP, University of Montpellier, INSERM, CNRS, Montpellier, France
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14
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MD JKB, Amer A, Khose S, Flint D, Adair A, Yepes P, Grosshans D, Johnson J, Chung C. Brain Radionecrosis Outside the Target Volume after Proton Radiotherapy: Analyses of Multiparametric Imaging and Proton Biological Effectiveness. Adv Radiat Oncol 2022; 7:101044. [DOI: 10.1016/j.adro.2022.101044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022] Open
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15
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Lim W, Acker G, Hardt J, Kufeld M, Kluge A, Brenner W, Conti A, Budach V, Vajkoczy P, Senger C, Prasad V. Dynamic 18F-FET PET/CT to differentiate recurrent primary brain tumor and brain metastases from radiation necrosis after single-session robotic radiosurgery. Cancer Treat Res Commun 2022; 32:100583. [PMID: 35688103 DOI: 10.1016/j.ctarc.2022.100583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Cyberknife robotic radiosurgery (RRS) provides single-session high-dose radiotherapy of brain tumors with a steep dose gradient and precise real-time image-guided motion correction. Although RRS appears to cause more radiation necrosis (RN), the radiometabolic changes after RRS have not been fully clarified. 18F-FET-PET/CT is used to differentiate recurrent tumor (RT) from RN after radiosurgery when MRI findings are indecisive. We explored the usefulness of dynamic parameters derived from 18F-FET PET in differentiating RT from RN after Cyberknife treatment in a single-center study population. METHODS We retrospectively identified brain tumor patients with static and dynamic 18F-FET-PET/CT for suspected RN after Cyberknife. Static (tumor-to-background ratio) and dynamic PET parameters (time-activity curve, time-to-peak) were quantified. Analyses were performed for all lesions taken together (TOTAL) and for brain metastases only (METS). Diagnostic accuracy of PET parameters (using mean tumor-to-background ratio >1.95 and time-to-peak of 20 min for RT as cut-offs) and their respective improvement of diagnostic probability were analyzed. RESULTS Fourteen patients with 28 brain tumors were included in quantitative analysis. Time-activity curves alone provided the highest sensitivities (TOTAL: 95%, METS: 100%) at the cost of specificity (TOTAL: 50%, METS: 57%). Combined mean tumor-to-background ratio and time-activity curve had the highest specificities (TOTAL: 63%, METS: 71%) and led to the highest increase in diagnosis probability of up to 16% p. - versus 5% p. when only static parameters were used. CONCLUSIONS This preliminary study shows that combined dynamic and static 18F-FET PET/CT parameters can be used in differentiating RT from RN after RRS.
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Affiliation(s)
- Winna Lim
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany
| | - Gueliz Acker
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, Berlin 10117, Germany; Charité CyberKnife Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany; BIH Academy, Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, Berlin 10117, Germany
| | - Juliane Hardt
- Department of Biometry, Epidemiology and Information Processing, WHO Collaborating Center for Research and Training for Health in the Human-Animal-Environment Interface, University of Veterinary Medicine (Foundation) Hannover (TiHo), Buenteweg 2, Hanover 30559, Germany; Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Medical Information Management, Faculty of Information and Communication, University of Applied Sciences Hannover, Germany
| | - Markus Kufeld
- Charité CyberKnife Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany; European Radiosurgery Center Munich, Max Lebsche-Platz 31, Munich 81377, Germany; Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany
| | - Anne Kluge
- Charité CyberKnife Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany; Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany
| | - Winfried Brenner
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany
| | - Alfredo Conti
- Department of Biomedical Science and Neuromotor Sciences DIBINEM, Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Biomediche e Neuromotorie (DIBINEM), Via Altura 3, 40139 29 Bologna (BO), Italy; IRCCS Istituto delle Scienze Neurologiche di Bologna, Via Altura 3, Bologna (BO) 40139, Italy
| | - Volker Budach
- Charité CyberKnife Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany; Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, Berlin 10117, Germany; Charité CyberKnife Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany
| | - Carolin Senger
- Charité CyberKnife Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany; Department of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany
| | - Vikas Prasad
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Augustenburger Platz 1, Berlin 13353, Germany; Department of Nuclear Medicine, University Hospital of Ulm, Ulm 89070, Germany.
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Chiaravalloti A, Cimini A, Ricci M, Quartuccio N, Arnone G, Filippi L, Calabria F, Leporace M, Bagnato A, Schillaci O. Positron emission tomography imaging in primary brain tumors. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00042-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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17
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Imaging of Complications of Chemoradiation. Neuroimaging Clin N Am 2021; 32:93-109. [PMID: 34809846 DOI: 10.1016/j.nic.2021.08.012] [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: 11/21/2022]
Abstract
Chemoradiation for head and neck cancer is associated with a variety of early and late complications. Toxicities may affect the aero-digestive tract (mucositis, salivary gland injury), regional osseous and cartilaginous structures (osteoradionecrosis (ORN) and chondronecrosis), vasculature (progressive radiation vasculopathy and carotid blow out syndromes), and neural structures (optic neuritis, myelitis, and brain injury). These may be difficult to distinguish from tumor recurrence on imaging, and may necessitate the use of advanced MRI and molecular imaging techniques to reach the correct diagnosis. Secondary radiation-induced malignancies include thyroid cancer and a variety of sarcomas that may manifest several years after treatment. Checkpoint inhibitors can cause a variety of adverse immune events, including autoimmune hypophysitis and encephalitis.
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18
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Zheng Z, Wang B, Zhao Q, Zhang Y, Wei J, Meng L, Xin Y, Jiang X. Research progress on mechanism and imaging of temporal lobe injury induced by radiotherapy for head and neck cancer. Eur Radiol 2021; 32:319-330. [PMID: 34327577 DOI: 10.1007/s00330-021-08164-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 06/07/2021] [Accepted: 06/22/2021] [Indexed: 12/15/2022]
Abstract
Radiotherapy (RT) is an effective treatment for head and neck cancer (HNC). Radiation-induced temporal lobe injury (TLI) is a serious complication of RT. Late symptoms of radiation-induced TLI are irreversible and manifest as memory loss, cognitive impairment, and even temporal lobe necrosis (TLN). It is currently believed that the mechanism of radiation-induced TLI involves microvascular injury, neuron and neural stem cell injury, glial cell damage, inflammation, and the production of free radicals. Significant RT-related structural changes and dose-dependent changes in gray matter (GM) and white matter (WM) volume and morphology were observed through computed tomography (CT) and magnetic resonance imaging (MRI) which were common imaging assessment tools. Diffusion tensor imaging (DTI), dispersion kurtosis imaging (DKI), susceptibility-weighted imaging (SWI), resting-state functional magnetic resonance (rs-fMRI), magnetic resonance spectroscopy (MRS), and positron emission tomography (PET) can be used for early diagnosis and prognosis evaluation according to functional, molecular, and cellular processes of TLI. Early diagnosis of TLI is helpful to reduce the incidence of TLN and its related complications. This review summarizes the clinical features, mechanisms, and imaging of radiation-induced TLI in HNC patients. KEY POINTS: • Radiation-induced temporal lobe injury (TLI) is a clinical complication and its symptoms mainly include memory impairment, headache, and cognitive impairment. • The mechanisms of TLI include microvascular injury, cell injury, and inflammatory and free radical injury. Significant RT-related structural changes and dose-dependent changes in TL volume and morphology were observed through CT and MRI. • SWI, MRS, DTI, and DKI and other imaging examinations can detect anatomical and functional, molecular, and cellular changes of TLI.
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Affiliation(s)
- Zhuangzhuang Zheng
- Department of Radiation Oncology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China.,Jilin Provincial Key Laboratory of Radiation Oncology& Therapy, The First Hospital of Jilin University, Changchun, 130021, China.,NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China
| | - Bin Wang
- Department of Radiation Oncology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China.,Jilin Provincial Key Laboratory of Radiation Oncology& Therapy, The First Hospital of Jilin University, Changchun, 130021, China.,NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China
| | - Qin Zhao
- Department of Radiation Oncology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China.,Jilin Provincial Key Laboratory of Radiation Oncology& Therapy, The First Hospital of Jilin University, Changchun, 130021, China.,NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China
| | - Yuyu Zhang
- Department of Radiation Oncology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China.,Jilin Provincial Key Laboratory of Radiation Oncology& Therapy, The First Hospital of Jilin University, Changchun, 130021, China.,NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China
| | - Jinlong Wei
- Department of Radiation Oncology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China.,Jilin Provincial Key Laboratory of Radiation Oncology& Therapy, The First Hospital of Jilin University, Changchun, 130021, China.,NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China
| | - Lingbin Meng
- Department of Hematology and Medical Oncology, Moffitt Cancer Center, Tampa, FL, 33612, USA
| | - Ying Xin
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, 126 Xinmin Street, Changchun, 130021, China.
| | - Xin Jiang
- Department of Radiation Oncology, The First Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, China. .,Jilin Provincial Key Laboratory of Radiation Oncology& Therapy, The First Hospital of Jilin University, Changchun, 130021, China. .,NHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China.
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19
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Vellayappan BA, McGranahan T, Graber J, Taylor L, Venur V, Ellenbogen R, Sloan AE, Redmond KJ, Foote M, Chao ST, Suh JH, Chang EL, Sahgal A, Lo SS. Radiation Necrosis from Stereotactic Radiosurgery-How Do We Mitigate? Curr Treat Options Oncol 2021; 22:57. [PMID: 34097171 DOI: 10.1007/s11864-021-00854-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2021] [Indexed: 12/12/2022]
Abstract
OPINION STATEMENT Intracranial stereotactic radiosurgery (SRS) is an effective and convenient treatment for many brain conditions. Data regarding safety come mostly from retrospective single institutional studies and a small number of prospective studies. Variations in target delineation, treatment delivery, imaging follow-up protocols and dose prescription limit the interpretation of this data. There has been much clinical focus on radiation necrosis (RN) in particular, as it is being increasingly recognized on follow-up imaging. Symptomatic RN may be treated with medical therapy (such as corticosteroids and bevacizumab) with surgical resection being reserved for refractory patients. Nevertheless, RN remains a challenging condition to manage, and therefore upfront patient selection for SRS remains critical to provide complication-free control. Mitigation strategies need to be considered in situations where the baseline risk of RN is expected to be high-such as large target volume or re-irradiation. These may involve reduction in the prescribed dose or hypofractionated stereotactic radiation therapy (HSRT). Recently published guidelines and international meta-analysis report the benefit of HSRT in larger lesions, without compromising control rates. However, careful attention to planning parameters and SRS techniques still need to be adhered, even with HSRT. In cases where the risk is deemed to be high despite mitigation, a combination approach of surgery with or without post-operative radiation should be considered.
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Affiliation(s)
- Balamurugan A Vellayappan
- Department of Radiation oncology, National University Cancer Institute, 1E Kent Ridge Road, Level 7 Tower block, Singapore, 119228, Singapore.
| | - Tresa McGranahan
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Jerome Graber
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Lynne Taylor
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Vyshak Venur
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Richard Ellenbogen
- Department of Neurology, Alvord Brain Tumor Center, University of Washington, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, Seidman Cancer Center and University Hospitals of Cleveland, Case Western Reserve University, Cleveland, OH, USA
| | - Kristin J Redmond
- Department of Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University, Baltimore, MD, USA
| | - Matthew Foote
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Samuel T Chao
- Department of Radiation Oncology, Rose Ella Burkhardt Brain Tumor and Neuro-oncology Center, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - John H Suh
- Department of Radiation Oncology, Rose Ella Burkhardt Brain Tumor and Neuro-oncology Center, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Eric L Chang
- Department of Radiation Oncology, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA
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20
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Yamaguchi S, Hirata K, Okamoto M, Shimosegawa E, Hatazawa J, Hirayama R, Kagawa N, Kishima H, Oriuchi N, Fujii M, Kobayashi K, Kobayashi H, Terasaka S, Nishijima KI, Kuge Y, Ito YM, Nishihara H, Tamaki N, Shiga T. Determination of brain tumor recurrence using 11 C-methionine positron emission tomography after radiotherapy. Cancer Sci 2021; 112:4246-4256. [PMID: 34061417 PMCID: PMC8486205 DOI: 10.1111/cas.15001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/24/2021] [Accepted: 05/27/2021] [Indexed: 11/28/2022] Open
Abstract
We conducted a prospective multicenter trial to compare the usefulness of 11C‐methionine (MET) and 18F‐fluorodeoxyglucose (FDG) positron emission tomography (PET) for identifying tumor recurrence. Patients with clinically suspected tumor recurrence after radiotherapy underwent both 11C‐MET and 18F‐FDG PET. When a lesion showed a visually detected uptake of either tracer, it was surgically resected for histopathological analysis. Patients with a lesion negative to both tracers were revaluated by magnetic resonance imaging (MRI) at 3 months after the PET studies. The primary outcome measure was the sensitivity of each tracer in cases with histopathologically confirmed recurrence, as determined by the McNemar test. Sixty‐one cases were enrolled, and 56 cases could be evaluated. The 38 cases where the lesions showed uptake of either 11C‐MET or 18F‐FDG underwent surgery; 32 of these cases were confirmed to be subject to recurrence. Eighteen cases where the lesions showed uptake of neither tracer received follow‐up MRI; the lesion size increased in one of these cases. Among the cases with histologically confirmed recurrence, the sensitivities of 11C‐MET PET and 18F‐FDG PET were 0.97 (32/33, 95% confidence interval [CI]: 0.85‐0.99) and 0.48 (16/33, 95% CI: 0.33‐0.65), respectively, and the difference was statistically significant (P < .0001). The diagnostic accuracy of 11C‐MET PET was significantly better than that of 18F‐FDG PET (87.5% vs. 69.6%, P = .033). No examination‐related adverse events were observed. The results of the study demonstrated that 11C‐MET PET was superior to 18F‐FDG PET for discriminating between tumor recurrence and radiation‐induced necrosis.
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Affiliation(s)
- Shigeru Yamaguchi
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Kenji Hirata
- Department of Nuclear Medicine, Hokkaido University Hospital, Sapporo, Japan.,Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Michinari Okamoto
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Eku Shimosegawa
- Department of Molecular Imaging in Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Jun Hatazawa
- Research Center for Nuclear Physics, Osaka University, Suita, Japan
| | - Ryuichi Hirayama
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Naoki Kagawa
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Haruhiko Kishima
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Noboru Oriuchi
- Department of Nuclear Medicine, Fukushima Medical University Hospital, Fukushima, Japan.,Advanced Clinical Research Center, Fukushima Global Medical Science Center, Fukushima Medical University, Fukushima, Japan
| | - Masazumi Fujii
- Department of Neurosurgery, Fukushima Medical University, Fukushima, Japan
| | - Kentaro Kobayashi
- Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Hiroyuki Kobayashi
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shunsuke Terasaka
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Ken-Ichi Nishijima
- Advanced Clinical Research Center, Fukushima Global Medical Science Center, Fukushima Medical University, Fukushima, Japan.,Central Institute of Isotope Science, Hokkaido University, Sapporo, Japan
| | - Yuji Kuge
- Central Institute of Isotope Science, Hokkaido University, Sapporo, Japan
| | - Yoichi M Ito
- Biostatistics Division, Clinical Research and Medical Innovation Center, Hokkaido University Hospital, Sapporo, Japan
| | - Hiroshi Nishihara
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Nagara Tamaki
- Department of Nuclear Medicine, Hokkaido University Hospital, Sapporo, Japan.,Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tohru Shiga
- Department of Nuclear Medicine, Hokkaido University Hospital, Sapporo, Japan.,Department of Nuclear Medicine, Fukushima Medical University Hospital, Fukushima, Japan.,Advanced Clinical Research Center, Fukushima Global Medical Science Center, Fukushima Medical University, Fukushima, Japan
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21
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Sadaghiani MS, Sheikhbahaei S, Rowe SP, Pomper MG, Solnes LB. Cellular and Molecular Imaging with SPECT and PET in Brain Tumors. Radiol Clin North Am 2021; 59:363-375. [PMID: 33926683 DOI: 10.1016/j.rcl.2021.01.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
This review highlights the 2 major molecular imaging modalities that are used in clinics, namely single-photon emission computed tomography (SPECT) and positron emission tomography (PET), and their added value in management of patients with brain tumors. There are a variety of SPECT and PET radiotracers that can allow imaging of different molecular processes. Those radiotracers target specific molecular features of tumors, resulting in improved specificity of these agents. Potential applications include staging of brain tumors and evaluating post-therapeutic changes.
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Affiliation(s)
- Mohammad S Sadaghiani
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline Street, JHOC 3150, Baltimore, MD 21287, USA
| | - Sara Sheikhbahaei
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline Street, JHOC 3150, Baltimore, MD 21287, USA
| | - Steven P Rowe
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline Street, JHOC 3150, Baltimore, MD 21287, USA
| | - Martin G Pomper
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline Street, JHOC 3150, Baltimore, MD 21287, USA
| | - Lilja B Solnes
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline Street, JHOC 3150, Baltimore, MD 21287, USA.
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22
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Kaufmann TJ, Smits M, Boxerman J, Huang R, Barboriak DP, Weller M, Chung C, Tsien C, Brown PD, Shankar L, Galanis E, Gerstner E, van den Bent MJ, Burns TC, Parney IF, Dunn G, Brastianos PK, Lin NU, Wen PY, Ellingson BM. Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro Oncol 2021; 22:757-772. [PMID: 32048719 PMCID: PMC7283031 DOI: 10.1093/neuonc/noaa030] [Citation(s) in RCA: 121] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
A recent meeting was held on March 22, 2019, among the FDA, clinical scientists, pharmaceutical and biotech companies, clinical trials cooperative groups, and patient advocacy groups to discuss challenges and potential solutions for increasing development of therapeutics for central nervous system metastases. A key issue identified at this meeting was the need for consistent tumor measurement for reliable tumor response assessment, including the first step of standardized image acquisition with an MRI protocol that could be implemented in multicenter studies aimed at testing new therapeutics. This document builds upon previous consensus recommendations for a standardized brain tumor imaging protocol (BTIP) in high-grade gliomas and defines a protocol for brain metastases (BTIP-BM) that addresses unique challenges associated with assessment of CNS metastases. The "minimum standard" recommended pulse sequences include: (i) parameter matched pre- and post-contrast inversion recovery (IR)-prepared, isotropic 3D T1-weighted gradient echo (IR-GRE); (ii) axial 2D T2-weighted turbo spin echo acquired after injection of gadolinium-based contrast agent and before post-contrast 3D T1-weighted images; (iii) axial 2D or 3D T2-weighted fluid attenuated inversion recovery; (iv) axial 2D, 3-directional diffusion-weighted images; and (v) post-contrast 2D T1-weighted spin echo images for increased lesion conspicuity. Recommended sequence parameters are provided for both 1.5T and 3T MR systems. An "ideal" protocol is also provided, which replaces IR-GRE with 3D TSE T1-weighted imaging pre- and post-gadolinium, and is best performed at 3T, for which dynamic susceptibility contrast perfusion is included. Recommended perfusion parameters are given.
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Affiliation(s)
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jerrold Boxerman
- Department of Diagnostic Imaging, Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Raymond Huang
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Daniel P Barboriak
- Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Michael Weller
- Department of Neurology & Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Caroline Chung
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Christina Tsien
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Lalitha Shankar
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA
| | - Evanthia Galanis
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Elizabeth Gerstner
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Terry C Burns
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Ian F Parney
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Gavin Dunn
- Department of Neurological Surgery, Washington University, St Louis, Missouri, USA
| | - Priscilla K Brastianos
- Departments of Medicine and Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.,Departments of Radiological Sciences and Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
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23
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Parent EE, Patel D, Nye JA, Li Z, Olson JJ, Schuster DM, Goodman MM. [ 18F]-Fluciclovine PET discrimination of recurrent intracranial metastatic disease from radiation necrosis. EJNMMI Res 2020; 10:148. [PMID: 33284388 PMCID: PMC7721921 DOI: 10.1186/s13550-020-00739-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/24/2020] [Indexed: 12/11/2022] Open
Abstract
Background Stereotactic radiosurgery (SRS) is often the primary treatment modality for patients with intracranial metastatic disease. Despite advances in magnetic resonance imaging, including use of perfusion and diffusion sequences and molecular imaging, distinguishing radiation necrosis from progressive tumor remains a diagnostic and clinical challenge. We investigated the sensitivity and specificity of 18F-fluciclovine PET to accurately distinguish radiation necrosis from recurrent intracranial metastatic disease in patients who had previously undergone SRS. Methods Fluciclovine PET imaging was performed in 8 patients with a total of 15 lesions that had previously undergone SRS and had subsequent MRI and clinical features suspicious for recurrent disease. The SUVmax of each lesion and the contralateral normal brain parenchyma were summated and evaluated at four different time points (5 min, 10 min, 30 min, and 55 min). Lesions were characterized as either recurrent disease (11 of 15 lesions) or radiation necrosis (4 of 15 lesions) and confirmed with histopathological correlation (7 lesions) or through serial MRI studies (8 lesions). Results Time activity curve analysis found statistically greater radiotracer accumulation for all lesions, including radiation necrosis, when compared to contralateral normal brain. While the mean and median SUVmax for recurrent disease were statistically greater than those of radiation necrosis at all time points, the difference was more significant at the earlier time points (p = 0.004 at 5 min–0.025 at 55 min). Using a SUVmax threshold of ≥ 1.3, fluciclovine PET demonstrated a 100% accuracy in distinguishing recurrent disease from radiation necrosis up to 30 min after injection and an accuracy of 87% (sensitivity = 0.91, specificity = 0.75) at the last time point of 55 min. However, tumor-to-background ratios (TBRmax) were not significantly different between recurrent disease and radiation necrosis at any time point due to variable levels of fluciclovine uptake in the background brain parenchyma. Conclusions Fluciclovine PET may play an important role in distinguishing active intracranial metastatic lesions from radiation necrosis in patients previously treated with SRS but needs to be validated in larger studies.
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Affiliation(s)
| | - Dhruv Patel
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA
| | - Jonathon A Nye
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA
| | - Zhuo Li
- Department of Statistics, Mayo Clinic, Jacksonville, USA
| | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA
| | - David M Schuster
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA
| | - Mark M Goodman
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA.
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24
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Young RJ, Demétrio De Souza França P, Pirovano G, Piotrowski AF, Nicklin PJ, Riedl CC, Schwartz J, Bale TA, Donabedian PL, Kossatz S, Burnazi EM, Roberts S, Lyashchenko SK, Miller AM, Moss NS, Fiasconaro M, Zhang Z, Mauguen A, Reiner T, Dunphy MP. Preclinical and first-in-human-brain-cancer applications of [ 18F]poly (ADP-ribose) polymerase inhibitor PET/MR. Neurooncol Adv 2020; 2:vdaa119. [PMID: 33392502 PMCID: PMC7758909 DOI: 10.1093/noajnl/vdaa119] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background We report preclinical and first-in-human-brain-cancer data using a targeted poly (ADP-ribose) polymerase 1 (PARP1) binding PET tracer, [18F]PARPi, as a diagnostic tool to differentiate between brain cancers and treatment-related changes. Methods We applied a glioma model in p53-deficient nestin/tv-a mice, which were injected with [18F]PARPi and then sacrificed 1 h post-injection for brain examination. We also prospectively enrolled patients with brain cancers to undergo dynamic [18F]PARPi acquisition on a dedicated positron emission tomography/magnetic resonance (PET/MR) scanner. Lesion diagnosis was established by pathology when available or by Response Assessment in Neuro-Oncology (RANO) or RANO-BM response criteria. Resected tissue also underwent PARPi-FL staining and PARP1 immunohistochemistry. Results In a preclinical mouse model, we illustrated that [18F]PARPi crossed the blood–brain barrier and specifically bound to PARP1 overexpressed in cancer cell nuclei. In humans, we demonstrated high [18F]PARPi uptake on PET/MR in active brain cancers and low uptake in treatment-related changes independent of blood–brain barrier disruption. Immunohistochemistry results confirmed higher PARP1 expression in cancerous than in noncancerous tissue. Specificity was also corroborated by blocking fluorescent tracer uptake with an excess unlabeled PARP inhibitor in patient cancer biospecimen. Conclusions Although larger studies are necessary to confirm and further explore this tracer, we describe the promising performance of [18F]PARPi as a diagnostic tool to evaluate patients with brain cancers and possible treatment-related changes.
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Affiliation(s)
- Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Paula Demétrio De Souza França
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Otorhinolaryngology and Head and Neck Surgery, Federal University of São Paulo, São Paulo, Brazil
| | - Giacomo Pirovano
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Anna F Piotrowski
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Philip J Nicklin
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Christopher C Riedl
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jazmin Schwartz
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Tejus A Bale
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Patrick L Donabedian
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Susanne Kossatz
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Eva M Burnazi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Sheryl Roberts
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Serge K Lyashchenko
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Alexandra M Miller
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,The Brain Tumor Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nelson S Moss
- Department of Neurosurgery and Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Megan Fiasconaro
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Zhigang Zhang
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Audrey Mauguen
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Thomas Reiner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Weill Cornell Medical College, New York, New York, USA.,Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mark P Dunphy
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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25
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Parente A, Maciel ES, J O Dierckx RA, Langendijk JA, de Vries EFJ, Doorduin J. Delayed effects of a single-dose whole-brain radiation therapy on glucose metabolism and myelin density: a longitudinal PET study. Int J Radiat Biol 2020; 96:1135-1143. [PMID: 32602390 DOI: 10.1080/09553002.2020.1787542] [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: 10/24/2022]
Abstract
PURPOSE Radiotherapy is an important treatment option for brain tumors, but the unavoidable irradiation of normal brain tissue can lead to delayed cognitive impairment. The mechanisms involved are still not well explained and, therefore, new tools to investigate the processes leading to the delayed symptoms of brain irradiation are warranted. In this study, positron emission tomography (PET) is used to explore delayed functional changes induced by brain irradiation. MATERIALS AND METHODS Male Wistar rats were subjected to a single 25-Gy dose of whole brain X-ray irradiation, or sham-irradiation. To investigate delayed effects of radiation on cerebral glucose metabolism and myelin density, 18F-fluorodeoxyglucose (18F-FDG) PET scans were performed at baseline and on day 64 and 94, whereas N-11C-methyl-4,4'-diaminostilbene (11C-MeDAS) PET scans were performed at baseline and on day 60 and 90 post-irradiation. In addition, the open field test (OFT) and novel spatial recognition (NSR) test were performed at baseline and on days 59 and 89 to investigate whether whole brain irradiation induces behavioral changes. RESULTS Whole-brain irradiation caused loss of bodyweight and delayed cerebral hypometabolism, with 18F-FDG uptake in all brain regions being significantly decreased in irradiated rat on day 64 while it remained unchanged in control animals. Only amygdala and cortical brain regions of irradiated rats still showed reduced 18F-FDG uptake on day 94. 11C-MeDAS uptake in control animals was significantly lower on days 60 and 90 than at the baseline, suggesting a reduction in myelin density in young adults. In irradiated animals, 11C-MeDAS uptake was similarly reduced on day 60, but on day 90 tracer uptake was somewhat increased and not significantly different from baseline anymore. Behavioral tests showed a similar pattern in control and irradiated animals. In both groups, the OFT showed significantly reduced mobility on days 59 and 89, whereas the NSR did not reveal any significant changes in spatial memory over time. Interestingly, a positive correlation between the NSR and 11C-MeDAS uptake was observed in irradiated rats. CONCLUSIONS Whole-brain irradiation causes delayed brain hypometabolism, which is not accompanied by white matter loss. Irradiated animals showed similar behavioral changes over time as control animals and, therefore, cerebral hypometabolism could not be linked to behavioral abnormalities. However, spatial memory seems to be associated with myelin density in irradiated rats.
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Affiliation(s)
- Andrea Parente
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Elisa Scandiuzzi Maciel
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Johannes A Langendijk
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Erik F J de Vries
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Wang K, Qiao Z, Zhao X, Li X, Wang X, Wu T, Chen Z, Fan D, Chen Q, Ai L. Individualized discrimination of tumor recurrence from radiation necrosis in glioma patients using an integrated radiomics-based model. Eur J Nucl Med Mol Imaging 2020; 47:1400-1411. [PMID: 31773234 PMCID: PMC7188738 DOI: 10.1007/s00259-019-04604-0] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 11/05/2019] [Indexed: 12/29/2022]
Abstract
PURPOSE To develop and validate an integrated model for discriminating tumor recurrence from radiation necrosis in glioma patients. METHODS Data from 160 pathologically confirmed glioma patients were analyzed. The diagnostic model was developed in a primary cohort (n = 112). Textural features were extracted from postoperative 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET), 11C-methionine (11C-MET) PET, and magnetic resonance images. The least absolute shrinkage and selection operator regression model was used for feature selection and radiomics signature building. Multivariable logistic regression analysis was used to develop a model for predicting tumor recurrence. The radiomics signature, quantitative PET parameters, and clinical risk factors were incorporated in the model. The clinical value of the model was then assessed in an independent validation cohort using the remaining 48 glioma patients. RESULTS The integrated model consisting of 15 selected features was significantly associated with postoperative tumor recurrence (p < 0.001 for both primary and validation cohorts). Predictors contained in the individualized diagnosis model included the radiomics signature, the mean of tumor-background ratio (TBR) of 18F-FDG, maximum of TBR of 11C-MET PET, and patient age. The integrated model demonstrated good discrimination, with an area under the curve (AUC) of 0.988, with a 95% confidence interval (CI) of 0.975-1.000. Application in the validation cohort showed good differentiation (AUC of 0.914 and 95% CI of 0.881-0.945). Decision curve analysis showed that the integrated diagnosis model was clinically useful. CONCLUSIONS Our developed model could be used to assist the postoperative individualized diagnosis of tumor recurrence in patients with gliomas.
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Affiliation(s)
- Kai Wang
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China
| | - Zhen Qiao
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China
| | - Xiaobin Zhao
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China
| | - Xiaotong Li
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China
| | - Xin Wang
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China
| | - Tingfan Wu
- Department of PET/MR Advanced Application, GE Healthcare, Beijing, China
| | - Zhongwei Chen
- Department of PET/MR Advanced Application, GE Healthcare, Beijing, China
| | - Di Fan
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China
| | - Qian Chen
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China
| | - Lin Ai
- Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, 119, West Road of South 4th Ring, Fengtai District, Beijing, China.
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Korevaar DA, Salameh JP, Vali Y, Cohen JF, McInnes MDF, Spijker R, Bossuyt PM. Searching practices and inclusion of unpublished studies in systematic reviews of diagnostic accuracy. Res Synth Methods 2020; 11:343-353. [PMID: 31981399 PMCID: PMC7317757 DOI: 10.1002/jrsm.1389] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Revised: 11/05/2019] [Accepted: 11/22/2019] [Indexed: 12/12/2022]
Abstract
Introduction Many diagnostic accuracy studies are never reported in full in a peer‐reviewed journal. Searching for unpublished studies may avoid bias due to selective publication, enrich the power of systematic reviews, and thereby help to reduce research waste. We assessed searching practices among recent systematic reviews of diagnostic accuracy. Methods We extracted data from 100 non‐Cochrane systematic reviews of diagnostic accuracy indexed in MEDLINE and published between October 2017 and January 2018 and from all 100 Cochrane systematic reviews of diagnostic accuracy published by December 2018, irrespective of whether meta‐analysis had been performed. Results Non‐Cochrane and Cochrane reviews searched a median of 4 (IQR 3‐5) and 6 (IQR 5‐9) databases, respectively; most often MEDLINE/PubMed (n = 100 and n = 100) and EMBASE (n = 81 and n = 100). Additional efforts to identify studies beyond searching bibliographic databases were performed in 76 and 98 reviews, most often through screening reference lists (n = 71 and n = 96), review/guideline articles (n = 18 and n = 52), or citing articles (n = 3 and n = 42). Specific sources of unpublished studies were searched in 22 and 68 reviews, for example, conference proceedings (n = 4 and n = 18), databases only containing conference abstracts (n = 2 and n = 33), or trial registries (n = 12 and n = 39). At least one unpublished study was included in 17 and 23 reviews. Overall, 39 of 2082 studies (1.9%) included in non‐Cochrane reviews were unpublished, and 64 of 2780 studies (2.3%) in Cochrane reviews, most often conference abstracts (97/103). Conclusion Searching practices vary considerably across systematic reviews of diagnostic accuracy. Unpublished studies are a minimal fraction of the evidence included in recent reviews.
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Affiliation(s)
- Daniël A Korevaar
- Department of Respiratory Medicine, Amsterdam University Medical Centres, University of Amsterdam, The Netherlands
| | - Jean-Paul Salameh
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Yasaman Vali
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Jérémie F Cohen
- Department of General Pediatrics and Pediatric Infectious Diseases, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.,Inserm UMR 1153 (Centre of Research in Epidemiology and Statistics), Paris Descartes University, France
| | - Matthew D F McInnes
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada.,Department of Radiology, University of Ottawa, Ottawa, Canada
| | - René Spijker
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, The Netherlands.,Medical Library, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Patrick M Bossuyt
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
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Coregistration of Magnetic Resonance and [ 18F] Fludeoxyglucose-Positron Emission Tomography Imaging for Stereotactic Radiation Therapy Planning: Case Report in a Previously Irradiated Brain Metastasis With Recurrent Tumor and Radiation Necrosis. Pract Radiat Oncol 2019; 10:133-137. [PMID: 31790826 DOI: 10.1016/j.prro.2019.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 10/23/2019] [Accepted: 11/20/2019] [Indexed: 12/28/2022]
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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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Kwee RM, Kwee TC. Dynamic susceptibility MR perfusion in diagnosing recurrent brain metastases after radiotherapy: A systematic review and meta-analysis. J Magn Reson Imaging 2019; 51:524-534. [PMID: 31150144 PMCID: PMC7004193 DOI: 10.1002/jmri.26812] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 05/17/2019] [Indexed: 01/18/2023] Open
Abstract
Background The diagnostic performance of dynamic susceptibility contrast (DSC) MR perfusion in discriminating treatment‐related changes from recurrence in irradiated brain metastases is currently not completely clear. Purpose To systematically review the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy. Study Type Systematic review and meta‐analysis. Subjects MEDLINE and Embase were searched for original studies investigating the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy. Ten studies, comprising a total of more than 271 metastases, were included. Field Strength/Sequence 1.5T or 3.0T, DSC MR perfusion. Assessment Quality assessment was performed according to the Quality Assessment of Diagnostic Accuracy Studies‐2 tool. Statistical Tests Sensitivity and specificity were pooled with a bivariate random‐effects model. Heterogeneity was assessed by a chi‐squared test. Potential sources for heterogeneity were explored by subgroup analyses. Results In seven studies the diagnostic criterion was not prespecified. In eight studies it was unclear whether the reference standard was interpreted blindly. In seven studies it was unclear whether DSC MR perfusion results influenced which reference standard was used. Pooled sensitivity and specificity were 81.6% (95% confidence interval [CI]: 70.6%, 89.1%) and 80.6% (95% CI: 64.2%, 90.6%), respectively. There was significant heterogeneity in both sensitivity (P = 0.005) and specificity (P < 0.001). There were no significant differences in relative diagnostic odds ratio according to publication year, country of origin, study size, and DSC MR perfusion interpretation method (visual analysis of cerebral blood volume [CBV] map vs. relative CBV measurement) (P > 0.2). Due to insufficiently detailed reporting, it was not possible to investigate the influence of primary tumor origin on accuracy. Data Conclusion Our results suggest that the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy is fairly high. However, these findings should be interpreted with caution because of methodological quality concerns and heterogeneity between studies. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:524–534.
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Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
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