Your browser doesn't support javascript.
loading
Umbrella review and network meta-analysis of diagnostic imaging test accuracy studies in Differentiating between brain tumor progression versus pseudoprogression and radionecrosis.
Dagher, Richard; Gad, Mona; da Silva de Santana, Paloma; Sadeghi, Mohammad Amin; Yewedalsew, Selome F; Gujar, Sachin K; Yedavalli, Vivek; Köhler, Cristiano André; Khan, Majid; Tavora, Daniel Gurgel Fernandes; Kamson, David Olayinka; Sair, Haris I; Luna, Licia P.
Afiliação
  • Dagher R; 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.
  • Gad M; Diagnostic Radiology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
  • da Silva de Santana P; Tiradentes University Medical School, Maceió, AL, Brazil.
  • Sadeghi MA; 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.
  • Yewedalsew SF; SUNY Downstate HSC and University, Brooklyn, NY, USA.
  • Gujar SK; 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.
  • Yedavalli V; 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.
  • Köhler CA; Medical Sciences Post-Graduation Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Brazil.
  • Khan M; 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.
  • Tavora DGF; Radiology Department, Fortaleza General Hospital, Fortaleza, Brazil.
  • Kamson DO; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD, USA.
  • Sair HI; 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.
  • Luna LP; 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. lluna6@jhmi.edu.
J Neurooncol ; 166(1): 1-15, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38212574
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lesões por Radiação / Neoplasias Encefálicas Tipo de estudo: Diagnostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Neurooncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lesões por Radiação / Neoplasias Encefálicas Tipo de estudo: Diagnostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Neurooncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos