Literature DB >> 25443083

Performance of SPECT in the differential diagnosis of glioma recurrence from radiation necrosis.

Hui Zhang1, Li Ma2, Chen Wu3, Bai-nan Xu4.   

Abstract

Radiation necrosis (RN) may be a confounder in the diagnosis of glioma recurrence. Several functional imaging techniques, including single photon emission computed tomography (SPECT) and positron emission tomography (PET), have been used to differentiate RN from glioma recurrence. However, to our knowledge the efficacy of SPECT has not been evaluated quantitatively. This meta-analysis evaluated the diagnostic ability of SPECT in differentiating glioma recurrence from RN. PubMed and EMBASE were systematically searched for studies published up to 1 March 2014 that evaluated SPECT in the differential diagnosis of glioma recurrence from RN. The data from eligible studies were evaluated by heterogeneity and threshold effect tests, and the sensitivity, specificity, and areas under the summary receiver-operating characteristic curve (SROC) were calculated. Twenty-eight studies in 24 articles, which included 893 patients (1163 scans) with suspected glioma recurrence after radiotherapy, met all inclusion and exclusion criteria, and were included in the meta-analysis. Their pooled sensitivity and specificity were 0.89 (95% confidence interval [CI]: 0.87, 0.91) and 0.88 (95% CI: 0.84, 0.91), respectively, and the area under the SROC was 0.9403. This meta-analysis showed that SPECT had good diagnostic performance for differentiating glioma recurrence from RN.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diagnostic accuracy; Meta-analysis; Radiation necrosis; Recurrent glioma; SPECT; Systematic review

Mesh:

Year:  2014        PMID: 25443083     DOI: 10.1016/j.jocn.2014.06.102

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  5 in total

1.  Potential use of prostate specific membrane antigen (PSMA) for detecting the tumor neovasculature of brain tumors by PET imaging with 89Zr-Df-IAB2M anti-PSMA minibody.

Authors:  Masahide Matsuda; Eiichi Ishikawa; Tetsuya Yamamoto; Kentaro Hatano; Akira Joraku; Yuichi Iizumi; Yosuke Masuda; Hiroyuki Nishiyama; Akira Matsumura
Journal:  J Neurooncol       Date:  2018-03-09       Impact factor: 4.130

Review 2.  Advances in Neuro-Oncology Imaging Techniques.

Authors:  Brannan E O'Neill; Christian B Hochhalter; Christopher Carr; Michael J Strong; Marcus L Ware
Journal:  Ochsner J       Date:  2018

3.  SPECT imaging of glioma with radioiodinated CLINDE: evidence from a mouse GL26 glioma model.

Authors:  Stergios Tsartsalis; Noé Dumas; Benjamin B Tournier; Tien Pham; Marcelle Moulin-Sallanon; Marie-Claude Grégoire; Yves Charnay; Philippe Millet
Journal:  EJNMMI Res       Date:  2015-03-13       Impact factor: 3.138

4.  Magnetic Resonance Spectroscopy and Single-Photon Emission Computed Tomography in the Evaluation of Cerebral Tumors: A Case Report.

Authors:  Ioannis Siasios; Varvara Valotassiou; Eftychia Kapsalaki; Ioannis Tsougos; Panagiotis Georgoulias; Aggeliki Fotiadou; Maria Ioannou; Georgios Koukoulis; Vassilios Dimopoulos; Kostas Fountas
Journal:  J Clin Med Res       Date:  2016-11-24

Review 5.  Radiation Necrosis, Pseudoprogression, Pseudoresponse, and Tumor Recurrence: Imaging Challenges for the Evaluation of Treated Gliomas.

Authors:  Anastasia Zikou; Chrissa Sioka; George A Alexiou; Andreas Fotopoulos; Spyridon Voulgaris; Maria I Argyropoulou
Journal:  Contrast Media Mol Imaging       Date:  2018-12-02       Impact factor: 3.161

  5 in total

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