Diagnostic accuracy of arterial spin labeling in differentiating between primary central nervous system lymphoma and high-grade glioma: a systematic review and meta-analysis

You, Guoliang; Wu, Honggang; Lei, Bo; Wan, Xiaoqiang; Chen, Shu; Zheng, Niandong

doi:10.1080/14737140.2022.2082948

Cited by 5 publications

(2 citation statements)

References 35 publications

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“…Our study found a low rCBVmax ratio (2.6 ± 3.9), in the range of values previously reported in the literature [31]. However, ASL is a perfusion technique that allows absolute quantification of CBF without the use of contrast media and which may provide additional diagnostic value in brain tumors [35].…”

Section: Discussionsupporting

confidence: 77%

[18F]FDG PET-MRI provides survival biomarkers in primary central nervous system lymphoma in the elderly: an ancillary study from the BLOCAGE trial of the LOC network

Rozenblum,

Galanaud,

Houillier

et al. 2023

Eur J Nucl Med Mol Imaging

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Discussionsupporting

confidence: 77%

[18F]FDG PET-MRI provides survival biomarkers in primary central nervous system lymphoma in the elderly: an ancillary study from the BLOCAGE trial of the LOC network

Rozenblum,

Galanaud,

Houillier

et al. 2023

Eur J Nucl Med Mol Imaging

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“…For example, a meta-analysis of 18 studies by Du et al suggested that DWI could differentiate between PCNSL and HGG with an AUC of 0.90 ( 26 ). Another meta-analysis of 10 articles by You et al suggested that arterial spin labeling could differentiate between PCNSL and HGG with an AUC of 0.86 ( 27 ). Additionally, a diagnostic model constructed with a deep learning algorithm based on MR imaging was used to differentiate PCNSLs, glioblastoma and brain metastases, with an AUC of 0.98 in the differential diagnosis of PCNSL ( 28 ).…”

Section: Discussionmentioning

confidence: 99%

Use of 18F-FDG-PET/CT in differential diagnosis of primary central nervous system lymphoma and high-grade gliomas: A meta-analysis

Zhang

Li²,

Hui³

2022

Front. Neurol.

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BackgroundPrimary central nervous system lymphoma (PCNSL) and high-grade glioma (HGG) appear similar under imaging. However, since the two tumors vary in their treatment methods, their differential diagnosis is crucial. The use of 18F-fluorodeoxyglucose positron emission tomography computed tomography (18F-FDG-PET/CT) imaging to effectively distinguish between the two tumors is not clear; therefore, a meta-analysis was carried out to determine its effectiveness.Materials and methodsThe databases PubMed, EMBASE, Cochrane, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, China Science, and Technology Journal Database (CQVIP) were exhaustively searched using stringent inclusion and exclusion criteria to select high-quality literature. The Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS-2) was used for the qualitative assessment of the included literature. The bivariate effect model was used to combine statistics such as sensitivity (SEN) and specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) [95% confidence intervals (CI)], plot summary receiver operating characteristic (SROC) curve, and calculate the area under the curve (AUC) value. Sensitivity analysis was used to evaluate the stability of the results, and Deek's test was used to assess publication bias. Meta-regression and subgroup analysis was used to determine the sources of heterogeneity.ResultsA total of nine studies were included in this study. For differential diagnosis of PCNSL and HGG, the combined SEN was 0.91 (95% CI: 0.80–0.96; I2 = 46.73%), combined SPE was 0.88 (95% CI: 0.82–0.93; I2 = 56.30%), the combined PLR was 7.83 (95% CI: 4.96–12.37; I2 = 15.57%), combined NLR was 0.10 (95% CI: 0.05–0.23; I2 = 31.99%), combined DOR was 77.36 (95% CI: 32.74–182.77; I2 = 70.70%). The AUC of SROC was 0.95 (95% CI: 0.93–0.97). No publication bias was found and the sample size and different parameters were the primary reason for heterogeneity.ConclusionThe 18F-FDG-PET/CT imaging technique has a high diagnostic accuracy in the differential diagnosis of PNCSL and HGG. Patients suspected to have the above two tumors are suggested to be examined by 18F-FDG-PET / CT to help in the clinical distinction and further treatment modalities.

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Conventional and Advanced MRI in Neuro-Oncology

Tang,

Warnert,

Smits

2024

Advanced Imaging and Therapy in Neuro-Oncology

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Diagnostic accuracy of arterial spin labeling in differentiating between primary central nervous system lymphoma and high-grade glioma: a systematic review and meta-analysis

Cited by 5 publications

References 35 publications

[18F]FDG PET-MRI provides survival biomarkers in primary central nervous system lymphoma in the elderly: an ancillary study from the BLOCAGE trial of the LOC network

[18F]FDG PET-MRI provides survival biomarkers in primary central nervous system lymphoma in the elderly: an ancillary study from the BLOCAGE trial of the LOC network

Use of 18F-FDG-PET/CT in differential diagnosis of primary central nervous system lymphoma and high-grade gliomas: A meta-analysis

Conventional and Advanced MRI in Neuro-Oncology

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