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A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue.
Petr, Jan; Hogeboom, Louise; Nikulin, Pavel; Wiegers, Evita; Schroyen, Gwen; Kallehauge, Jesper; Chmelík, Marek; Clement, Patricia; Nechifor, Ruben E; Fodor, Liviu-Andrei; De Witt Hamer, Philip C; Barkhof, Frederik; Pernet, Cyril; Lequin, Maarten; Deprez, Sabine; Jancálek, Radim; Mutsaerts, Henk J M M; Pizzini, Francesca B; Emblem, Kyrre E; Keil, Vera C.
  • Petr J; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany. j.petr@hzdr.de.
  • Hogeboom L; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands. j.petr@hzdr.de.
  • Nikulin P; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
  • Wiegers E; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany.
  • Schroyen G; Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Kallehauge J; Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Chmelík M; Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Clement P; Department of Technical Disciplines in Medicine, Faculty of Health Care, University of Presov, Presov, Slovakia.
  • Nechifor RE; Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium.
  • Fodor LA; International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Department of Clinical Psychology and Psychotherapy, Babeș-Bolyai University, Cluj-Napoca, Romania.
  • De Witt Hamer PC; 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.
  • Barkhof F; Department of Neurosurgery, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
  • Pernet C; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
  • Lequin M; UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Deprez S; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Denmark.
  • Jancálek R; Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Mutsaerts HJMM; Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
  • Pizzini FB; St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
  • Emblem KE; Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
  • Keil VC; Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium.
MAGMA ; 35(1): 163-186, 2022 Feb.
Article en En | MEDLINE | ID: mdl-34919195
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastornos del Conocimiento / Neoplasias Tipo de estudio: Guideline / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastornos del Conocimiento / Neoplasias Tipo de estudio: Guideline / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article