Literature DB >> 31365504

Diagnostic value of radiolabeled amino acid PET for detection of pseudoprogression of brain tumor after treatment: a meta-analysis.

Seong-Jang Kim1,2,3, Sung Ryul Shim4,5.   

Abstract

PURPOSE: The purpose of the current study was to investigate the diagnostic performance of radiolabeled amino acid PET for detection of pseudoprogression (PsP) of brain tumor after treatment through a systematic review and meta-analysis.
METHODS: The PubMed and EMBASE database, from the earliest available date of indexing through 15 February 2019, were searched for studies evaluating the diagnostic performance of radiolabeled amino acid PET for detection of PsP. We determined the sensitivities and specificities across studies, calculated positive and negative likelihood ratios, and constructed summary receiver operating characteristic (SROC) curves.
RESULTS: Across seven results from six studies (971 patients), the pooled sensitivity was 0.89 [95% confidence interval (CI): 0.82-0.94] without heterogeneity (I2 = 0.0) and a pooled specificity of 0.88 (95% CI: 0.76-0.94) without heterogeneity (I2=29.4). Likelihood ratio syntheses gave an overall positive likelihood ratio of 7.3 (95% CI: 3.6-14.7) and negative likelihood ratio of 0.12 (95% CI: 0.07-0.21). The pooled diagnostic odds ratio (DOR) was 60 (95% CI: 23-152). Hierarchical SROC curve indicates that the areas under the curve (AUC) was 0.92 (95% CI: 0.90-0.94).
CONCLUSION: The current meta-analysis showed the good sensitivity and specificity of radiolabeled amino acid PET for detection of PsP of brain tumor after treatment. Also, the DOR was high and SROC curve showed high AUC value.

Entities:  

Year:  2019        PMID: 31365504     DOI: 10.1097/MNM.0000000000001060

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  5 in total

1.  Immune checkpoint inhibitor therapy may increase the incidence of treatment-related necrosis after stereotactic radiosurgery for brain metastases: a systematic review and meta-analysis.

Authors:  Jeffrey P Guenette; Raymond Y Huang; Pyeong Hwa Kim; Chong Hyun Suh; Ho Sung Kim; Kyung Won Kim; Dong Yeong Kim; Ayal A Aizer; Rifaquat Rahman
Journal:  Eur Radiol       Date:  2020-11-25       Impact factor: 5.315

2.  Hybrid PET-MRI Imaging in Paediatric and TYA Brain Tumours: Clinical Applications and Challenges.

Authors:  Ananth Shankar; Jamshed Bomanji; Harpreet Hyare
Journal:  J Pers Med       Date:  2020-11-09

3.  Diagnostic and Prognostic Potential of 18F-FET PET in the Differential Diagnosis of Glioma Recurrence and Treatment-Induced Changes After Chemoradiation Therapy.

Authors:  Monica Celli; Paola Caroli; Elena Amadori; Donatella Arpa; Lorena Gurrieri; Giulia Ghigi; Patrizia Cenni; Giovanni Paganelli; Federica Matteucci
Journal:  Front Oncol       Date:  2021-10-04       Impact factor: 6.244

4.  Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis.

Authors:  Chris Taylor; Justyna O Ekert; Viktoria Sefcikova; Naomi Fersht; George Samandouras
Journal:  Sci Rep       Date:  2022-08-02       Impact factor: 4.996

Review 5.  Diagnostic Performance and Prognostic Value of PET/CT with Different Tracers for Brain Tumors: A Systematic Review of Published Meta-Analyses.

Authors:  Giorgio Treglia; Barbara Muoio; Gianluca Trevisi; Maria Vittoria Mattoli; Domenico Albano; Francesco Bertagna; Luca Giovanella
Journal:  Int J Mol Sci       Date:  2019-09-20       Impact factor: 5.923

  5 in total

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