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Review ArticleSYSTEMATIC REVIEW/META-ANALYSIS

Predicting 1p/19q Codeletion Status in Glioma Using MRI-Derived Radiomics; A Systematic Review and Meta-Analysis of Diagnostic Accuracy

Amir Mahmoud Ahmadzadeh, Nima Broomand Lomer, Mohammad Amin Ashoobi, Danial Elyassirad, Benyamin Gheiji, Mahsa Vatanparast, Seyed Ali Jalalian, Mehdi Arab, Farrokh Seilanian Toosi, Girish Bathla and Shahriar Faghani
American Journal of Neuroradiology April 2025, ajnr.A8771; DOI: https://doi.org/10.3174/ajnr.A8771
Amir Mahmoud Ahmadzadeh
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Nima Broomand Lomer
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Mohammad Amin Ashoobi
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Danial Elyassirad
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Benyamin Gheiji
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Mahsa Vatanparast
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Seyed Ali Jalalian
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Mehdi Arab
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Farrokh Seilanian Toosi
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Girish Bathla
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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Shahriar Faghani
From the Department of Radiology (A.M.A., M.A., F.S.T.) and Student Research Committee (D.E., B.G, M.V., S.A.J.), Mashhad University of Medical Sciences, Mashhad, Iran; Department of Radiology (N.B.L), University of Pennsylvania, Philadelphia, Pennsylvania, United States; Trauma Research Institute (M.A.A), Guilan University of Medical Sciences, Rasht, Iran; Department of Radiology (G.B., S.F.), Mayo Clinic, Rochester, Minnesota, United States
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ABSTRACT

BACKGROUND: The 1p/19q codeletion is a key genetic marker in gliomas and plays a crucial role in prognosis and treatment decisions. Traditional methods for detecting this genetic alteration rely on invasive tissue biopsies.

PURPOSE: This systematic review and meta-analysis aimed to evaluate the performance of magnetic resonance imaging (MRI)-derived radiomics-based models to predict glioma 1p/19q codeletion status.

DATA SOURCES: A literature search was conducted in four databases—PubMed, Web of Science, Embase, and Scopus.

STUDY SELECTION: We selected the studies that assessed the performance of radiomics-based models in determining 1p/19q codeletion status.

DATA ANALYSIS: The METhodological RadiomICs Score (METRICS) was used to evaluate study quality. Pooled diagnostic estimates were calculated, and heterogeneity was assessed using the I2 statistic. Subgroup and sensitivity analyses were performed to investigate potential sources of heterogeneity. Deeks' funnel plot was used to assess publication bias.

DATA SYNTHESIS: Twenty-eight studies met the inclusion criteria for the systematic review. A meta-analysis of 10 studies yielded a pooled sensitivity of 0.82 (95% CI: 0.67-0.91), specificity of 0.80 (95% CI: 0.70-0.88), positive diagnostic likelihood (DLR) of 4.14 (95%CI: 2.62-6.52), negative DLR of 0.23 (95% CI: 0.12-0.43), diagnostic odds ratio of 18.37 (95% CI: 7.36-45.85), and area under the curve of 0.87 (95% CI: 0.84-0.90). Subgroup analysis revealed significant differences based on the country and segmentation method.

LIMITATIONS: Our meta-analysis is limited by small number of studies with external validation cohorts.

CONCLUSIONS: MRI-derived radiomics-based models demonstrated good predictive performance for glioma 1p/19q codeletion status, highlighting their potential as a non-invasive tool for glioma characterization and for aiding in treatment decision-making.

ABBREVIATIONS: DLR: diagnostic likelihood ratio, DOR: diagnostic odds ratio, AUC =area under the curve; HOIV: holdout internal validation, EV = external validation.

Footnotes

  • ↵# Contributed equally as co-first authors.

  • The authors declare no conflicts of interest related to the content of this article.

  • © 2025 by American Journal of Neuroradiology

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Accepted Manuscript
Amir Mahmoud Ahmadzadeh, Nima Broomand Lomer, Mohammad Amin Ashoobi, Danial Elyassirad, Benyamin Gheiji, Mahsa Vatanparast, Seyed Ali Jalalian, Mehdi Arab, Farrokh Seilanian Toosi, Girish Bathla, Shahriar Faghani
Predicting 1p/19q Codeletion Status in Glioma Using MRI-Derived Radiomics; A Systematic Review and Meta-Analysis of Diagnostic Accuracy
American Journal of Neuroradiology Apr 2025, ajnr.A8771; DOI: 10.3174/ajnr.A8771

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Accepted Manuscript
Predicting 1p/19q Codeletion Status in Glioma Using MRI-Derived Radiomics; A Systematic Review and Meta-Analysis of Diagnostic Accuracy
Amir Mahmoud Ahmadzadeh, Nima Broomand Lomer, Mohammad Amin Ashoobi, Danial Elyassirad, Benyamin Gheiji, Mahsa Vatanparast, Seyed Ali Jalalian, Mehdi Arab, Farrokh Seilanian Toosi, Girish Bathla, Shahriar Faghani
American Journal of Neuroradiology Apr 2025, ajnr.A8771; DOI: 10.3174/ajnr.A8771
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