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Differentiating radiation necrosis from tumor recurrence: a systematic review and diagnostic meta-analysis comparing imaging modalities.
Smith, Emily J; Naik, Anant; Shaffer, Annabelle; Goel, Mahima; Krist, David T; Liang, Edward; Furey, Charuta G; Miller, William K; Lawton, Michael T; Barnett, Daniel H; Weis, Blake; Rizk, Ahmed; Smith, Ron S; Hassaneen, Wael.
Afiliación
  • Smith EJ; Carle Illinois College of Medicine, Urbana, IL, USA.
  • Naik A; Carle Illinois College of Medicine, Urbana, IL, USA.
  • Shaffer A; Carle Illinois College of Medicine, Urbana, IL, USA.
  • Goel M; Carle Illinois College of Medicine, Urbana, IL, USA.
  • Krist DT; Carle Illinois College of Medicine, Urbana, IL, USA.
  • Liang E; Carle Illinois College of Medicine, Urbana, IL, USA.
  • Furey CG; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA.
  • Miller WK; Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ, USA.
  • Lawton MT; Department of Neurosurgery, University of Illinois Peoria, Peoria, IL, USA.
  • Barnett DH; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA.
  • Weis B; Ivy Brain Tumor Center, Barrow Neurological Institute, Phoenix, AZ, USA.
  • Rizk A; Department of Radiation Oncology, Carle Foundation Hospital, Urbana, IL, USA.
  • Smith RS; Department of Radiology, Carle Foundation Hospital, Urbana, IL, USA.
  • Hassaneen W; Department of Neurosurgery, Hospital of the Merciful Brothers, Trier, Germany.
J Neurooncol ; 162(1): 15-23, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36853489
PURPSOSE: Cerebral radiation necrosis (RN) is often a delayed phenomenon occurring several months to years after the completion of radiation treatment. Differentiating RN from tumor recurrence presents a diagnostic challenge on standard MRI. To date, no evidence-based guidelines exist regarding imaging modalities best suited for this purpose. We aim to review the current literature and perform a diagnostic meta-analysis comparing various imaging modalities that have been studied to differentiate tumor recurrence and RN. METHODS: A systematic search adherent to PRISMA guidelines was performed using Scopus, PubMed/MEDLINE, and Embase. Pooled sensitivities and specificities were determined using a random-effects or fixed-effects proportional meta-analysis based on heterogeneity. Using diagnostic odds ratios, a diagnostic frequentist random-effects network meta-analysis was performed, and studies were ranked using P-score hierarchical ranking. RESULTS: The analysis included 127 studies with a total of 220 imaging datasets, including the following imaging modalities: MRI (n = 10), MR Spectroscopy (MRS) (n = 28), dynamic contrast-enhanced MRI (n = 7), dynamic susceptibility contrast MRI (n = 36), MR arterial spin labeling (n = 5), diffusion-weighted imaging (n = 13), diffusion tensor imaging (DTI) (n = 2), PET (n = 89), and single photon emission computed tomography (SPECT) (n = 30). MRS had the highest pooled sensitivity (90.7%). DTI had the highest pooled specificity (90.5%). Our hierarchical ranking ranked SPECT and MRS as most preferable, and MRI was ranked as least preferable. CONCLUSION: These findings suggest SPECT and MRS carry greater utility than standard MRI in distinguishing RN from tumor recurrence.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen de Difusión Tensora / Recurrencia Local de Neoplasia Tipo de estudio: Diagnostic_studies / Guideline / Systematic_reviews Límite: Humans Idioma: En Revista: J Neurooncol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen de Difusión Tensora / Recurrencia Local de Neoplasia Tipo de estudio: Diagnostic_studies / Guideline / Systematic_reviews Límite: Humans Idioma: En Revista: J Neurooncol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos