Literature DB >> 29724766

Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Differentiating High-Grade Glioma from Solitary Brain Metastasis: A Systematic Review and Meta-Analysis.

C H Suh1, H S Kim2, S C Jung1, S J Kim1.   

Abstract

BACKGROUND: Accurate diagnosis of high-grade glioma and solitary brain metastasis is clinically important because it affects the patient's outcome and alters patient management.
PURPOSE: To evaluate the diagnostic performance of DWI and DTI for differentiating high-grade glioma from solitary brain metastasis. DATA SOURCES: A literature search of Ovid MEDLINE and EMBASE was conducted up to November 10, 2017. STUDY SELECTION: Studies evaluating the diagnostic performance of DWI and DTI for differentiating high-grade glioma from solitary brain metastasis were selected. DATA ANALYSIS: Summary sensitivity and specificity were established by hierarchic logistic regression modeling. Multiple subgroup analyses were also performed. DATA SYNTHESIS: Fourteen studies with 1143 patients were included. The individual sensitivities and specificities of the 14 included studies showed a wide variation, ranging from 46.2% to 96.0% for sensitivity and 40.0% to 100.0% for specificity. The pooled sensitivity of both DWI and DTI was 79.8% (95% CI, 70.9%-86.4%), and the pooled specificity was 80.9% (95% CI, 75.1%-85.5%). The area under the hierarchical summary receiver operating characteristic curve was 0.87 (95% CI, 0.84-0.89). The multiple subgroup analyses also demonstrated similar diagnostic performances (sensitivities of 76.8%-84.7% and specificities of 79.7%-84.0%). There was some level of heterogeneity across the included studies (I2 = 36%); however, it did not reach a level of concern. LIMITATIONS: The included studies used various DWI and DTI parameters.
CONCLUSIONS: DWI and DTI demonstrated a moderate diagnostic performance for differentiation of high-grade glioma from solitary brain metastasis.
© 2018 by American Journal of Neuroradiology.

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Year:  2018        PMID: 29724766     DOI: 10.3174/ajnr.A5650

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  11 in total

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2.  Preoperative and Noninvasive Prediction of Gliomas Histopathological Grades and IDH Molecular Types Using Multiple MRI Characteristics.

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3.  Analysis of DWI in the classification of glioma pathology and its therapeutic application in clinical surgery: a case-control study.

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Review 4.  MRI biomarkers in neuro-oncology.

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Review 5.  Brain metastases: An update on the multi-disciplinary approach of clinical management.

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7.  Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading.

Authors:  E L Pogosbekian; I N Pronin; N E Zakharova; A I Batalov; A M Turkin; T A Konakova; I I Maximov
Journal:  Neuroradiology       Date:  2021-01-07       Impact factor: 2.804

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9.  Diagnostic efficacy of apparent diffusion coefficient measurements in differentiation of malignant intra-axial brain tumors

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Journal:  Turk J Med Sci       Date:  2021-02-26       Impact factor: 0.973

Review 10.  Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic Review.

Authors:  Leon Jekel; Waverly R Brim; Marc von Reppert; Lawrence Staib; Gabriel Cassinelli Petersen; Sara Merkaj; Harry Subramanian; Tal Zeevi; Seyedmehdi Payabvash; Khaled Bousabarah; MingDe Lin; Jin Cui; Alexandria Brackett; Amit Mahajan; Antonio Omuro; Michele H Johnson; Veronica L Chiang; Ajay Malhotra; Björn Scheffler; Mariam S Aboian
Journal:  Cancers (Basel)       Date:  2022-03-08       Impact factor: 6.639

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