1
|
Jain V, de Godoy LL, Mohan S, Chawla S, Learned K, Jain G, Wehrli FW, Alonso-Basanta M. Cerebral hemodynamic and metabolic dysregulation in the postradiation brain. J Neuroimaging 2022; 32:1027-1043. [PMID: 36156829 DOI: 10.1111/jon.13053] [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: 07/13/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 11/28/2022] Open
Abstract
Technological advances in the delivery of radiation and other novel cancer therapies have significantly improved the 5-year survival rates over the last few decades. Although recent developments have helped to better manage the acute effects of radiation, the late effects such as impairment in cognition continue to remain of concern. Accruing data in the literature have implicated derangements in hemodynamic parameters and metabolic activity of the irradiated normal brain as predictive of cognitive impairment. Multiparametric imaging modalities have allowed us to precisely quantify functional and metabolic information, enhancing the anatomic and morphologic data provided by conventional MRI sequences, thereby contributing as noninvasive imaging-based biomarkers of radiation-induced brain injury. In this review, we have elaborated on the mechanisms of radiation-induced brain injury and discussed several novel imaging modalities, including MR spectroscopy, MR perfusion imaging, functional MR, SPECT, and PET that provide pathophysiological and functional insights into the postradiation brain, and its correlation with radiation dose as well as clinical neurocognitive outcomes. Additionally, we explored some innovative imaging modalities, such as quantitative blood oxygenation level-dependent imaging, susceptibility-based oxygenation measurement, and T2-based oxygenation measurement, that hold promise in delineating the potential mechanisms underlying deleterious neurocognitive changes seen in the postradiation setting. We aim that this comprehensive review of a range of imaging modalities will help elucidate the hemodynamic and metabolic injury mechanisms underlying cognitive impairment in the irradiated normal brain in order to optimize treatment regimens and improve the quality of life for these patients.
Collapse
Affiliation(s)
- Varsha Jain
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Department of Radiation Oncology, Jefferson University Hospital, 111 South 11th Street, Philadelphia, PA, 19107, USA
| | - Laiz Laura de Godoy
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Suyash Mohan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sanjeev Chawla
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kim Learned
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Gaurav Jain
- Department of Neurological Surgery, Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Felix W Wehrli
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michelle Alonso-Basanta
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| |
Collapse
|
2
|
Petr J, Hogeboom L, Nikulin P, Wiegers E, Schroyen G, Kallehauge J, Chmelík M, Clement P, Nechifor RE, Fodor LA, De Witt Hamer PC, Barkhof F, Pernet C, Lequin M, Deprez S, Jančálek R, Mutsaerts HJMM, Pizzini FB, Emblem KE, Keil VC. A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue. MAGMA (NEW YORK, N.Y.) 2022; 35:163-186. [PMID: 34919195 PMCID: PMC8901489 DOI: 10.1007/s10334-021-00985-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/09/2021] [Accepted: 12/03/2021] [Indexed: 12/17/2022]
Abstract
Cancer therapy for both central nervous system (CNS) and non-CNS tumors has been previously associated with transient and long-term cognitive deterioration, commonly referred to as 'chemo fog'. This therapy-related damage to otherwise normal-appearing brain tissue is reported using post-mortem neuropathological analysis. Although the literature on monitoring therapy effects on structural magnetic resonance imaging (MRI) is well established, such macroscopic structural changes appear relatively late and irreversible. Early quantitative MRI biomarkers of therapy-induced damage would potentially permit taking these treatment side effects into account, paving the way towards a more personalized treatment planning.This systematic review (PROSPERO number 224196) provides an overview of quantitative tomographic imaging methods, potentially identifying the adverse side effects of cancer therapy in normal-appearing brain tissue. Seventy studies were obtained from the MEDLINE and Web of Science databases. Studies reporting changes in normal-appearing brain tissue using MRI, PET, or SPECT quantitative biomarkers, related to radio-, chemo-, immuno-, or hormone therapy for any kind of solid, cystic, or liquid tumor were included. The main findings of the reviewed studies were summarized, providing also the risk of bias of each study assessed using a modified QUADAS-2 tool. For each imaging method, this review provides the methodological background, and the benefits and shortcomings of each method from the imaging perspective. Finally, a set of recommendations is proposed to support future research.
Collapse
Affiliation(s)
- Jan Petr
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany.
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
| | - Louise Hogeboom
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Pavel Nikulin
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Evita Wiegers
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gwen Schroyen
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Jesper Kallehauge
- Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - Marek Chmelík
- Department of Technical Disciplines in Medicine, Faculty of Health Care, University of Prešov, Prešov, Slovakia
| | - Patricia Clement
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Ruben E Nechifor
- International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Department of Clinical Psychology and Psychotherapy, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Liviu-Andrei Fodor
- International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Evidence Based Psychological Assessment and Interventions Doctoral School, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Philip C De Witt Hamer
- Department of Neurosurgery, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Cyril Pernet
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Maarten Lequin
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sabine Deprez
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Radim Jančálek
- St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Henk J M M Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Francesca B Pizzini
- Radiology, Deptartment of Diagnostic and Public Health, Verona University, Verona, Italy
| | - Kyrre E Emblem
- Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Vera C Keil
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| |
Collapse
|
3
|
Fan EP, Heiber G, Gerard EE, Schuele S. Stroke-like migraine attacks after radiation therapy: A misnomer? Epilepsia 2017; 59:259-268. [PMID: 29171011 DOI: 10.1111/epi.13963] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To understand the frequency of electrographic and clinical seizures in patients with stroke-like migraine attacks after radiation therapy (SMART), and determine whether SMART warrants comprehensive electroencephalographic (EEG) monitoring and aggressive seizure management. METHODS We searched our magnetic resonance brain imaging report database for all patients between January 2013 and December 2015 for suspected SMART syndrome. Clinical inclusion criteria were further applied as follows: inpatient adults (>18 years of age) with history of cranial radiation presenting with acute neurologic deficits as primary admission reason who lacked evidence of recurrent or new brain malignancy, stroke, or infectious agents in cerebrospinal fluid. Six patients were identified. All 6 patients underwent prolonged video EEG monitoring as part of our standard protocol. RESULTS All patients but 1 were found to have multiple or prolonged electrographic seizures consistent with status epilepticus during video EEG monitoring. Their neurological deficit and/or mental status change improved in parallel with resolution of the seizure activity. SIGNIFICANCE SMART is likely a misnomer that underestimates the significance of seizures and status epilepticus in the pathophysiology and clinical presentation of the syndrome. Systematic continuous EEG monitoring and appropriate seizure management is warranted to reduce symptom duration and optimize clinical outcome.
Collapse
Affiliation(s)
- Emily Peien Fan
- Department of Neurology, Northwestern Memorial Hospital, Chicago, IL, USA
| | - Gabriel Heiber
- Department of Psychiatry, Northwestern Memorial Hospital, Chicago, IL, USA
| | - Elizabeth E Gerard
- Department of Neurology, Northwestern Memorial Hospital, Chicago, IL, USA
| | - Stephan Schuele
- Department of Neurology, Northwestern Memorial Hospital, Chicago, IL, USA
| |
Collapse
|
5
|
Yu JB, Shiao SL, Knisely JPS. A dosimetric evaluation of conventional helmet field irradiation versus two-field intensity-modulated radiotherapy technique. Int J Radiat Oncol Biol Phys 2007; 68:621-31. [PMID: 17276616 DOI: 10.1016/j.ijrobp.2006.12.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2006] [Revised: 12/01/2006] [Accepted: 12/04/2006] [Indexed: 11/25/2022]
Abstract
PURPOSE To compare dosimetric differences between conventional two-beam helmet field irradiation (external beam radiotherapy, EBRT) of the brain and a two-field intensity-modulated radiotherapy (IMRT) technique. METHODS AND MATERIALS Ten patients who received helmet field irradiation at our institution were selected for study. External beam radiotherapy portals were planned per usual practice. Intensity-modulated radiotherapy fields were created using the identical field angles as the EBRT portals. Each brain was fully contoured along with the spinal cord to the bottom of the C2 vertebral body. This volume was then expanded symmetrically by 0.5 cm to construct the planning target volume. An IMRT plan was constructed using uniform optimization constraints. For both techniques, the nominal prescribed dose was 3,000 cGy in 10 fractions of 300 cGy using 6-MV photons. Comparative dose-volume histograms were generated for each patient and analyzed. RESULTS Intensity-modulated radiotherapy improved dose uniformity over EBRT for whole brain radiotherapy. The mean percentage of brain receiving >105% of dose was reduced from 29.3% with EBRT to 0.03% with IMRT. The mean maximum dose was reduced from 3,378 cGy (113%) for EBRT to 3,162 cGy (105%) with IMRT. The mean percent volume receiving at least 98% of the prescribed dose was 99.5% for the conventional technique and 100% for IMRT. CONCLUSIONS Intensity-modulated radiotherapy reduces dose inhomogeneity, particularly for the midline frontal lobe structures where hot spots occur with conventional two-field EBRT. More study needs to be done addressing the clinical implications of optimizing dose uniformity and its effect on long-term cognitive function in selected long-lived patients.
Collapse
Affiliation(s)
- James B Yu
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06520-8040, USA
| | | | | |
Collapse
|