4.2 Article

Predicting 1p/19q codeletion status using diffusion-, susceptibility-, perfusion-weighted, and conventional MRI in IDH-mutant lower-grade gliomas

Journal

ACTA RADIOLOGICA
Volume 62, Issue 12, Pages 1657-1665

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/0284185120973624

Keywords

1p; 19q codeletion; lower-grade gliomas; T2; FLAIR mismatch sign; diffusion-weighted imaging; susceptibility-weighted imaging; dynamic susceptibility contrast perfusion-weighted imaging

Funding

  1. research foundation of Qihang of Fujian Medical University [2018QH1075]
  2. funding project of medical innovation of Fujian Province [2019-CX-23]
  3. joint project of health and education of Fujian Province [2019-WJ-10]

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The study aimed to evaluate the value of MRI techniques in predicting the 1p/19q codeletion status of LGGs, and found that a combination of multiple MRI techniques could improve diagnostic performance.
Background Isocitrate dehydrogenase (IDH)-mutant lower-grade gliomas (LGGs) are further classified into two classes: with and without 1p/19q codeletion. IDH-mutant and 1p/19q codeleted LGGs have better prognosis compared with IDH-mutant and 1p/19q non-codeleted LGGs. Purpose To evaluate conventional magnetic resonance imaging (cMRI), diffusion-weighted imaging (DWI), susceptibility-weighted imaging (SWI), and dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) for predicting 1p/19q codeletion status of IDH-mutant LGGs. Material and Methods We retrospectively reviewed cMRI, DWI, SWI, and DSC-PWI in 142 cases of IDH mutant LGGs with known 1p/19q codeletion status. Features of cMRI, relative ADC (rADC), intratumoral susceptibility signals (ITSSs), and the value of relative cerebral blood volume (rCBV) were compared between IDH-mutant LGGs with and without 1p/19q codeletion. Receiver operating characteristic curve and logistic regression were used to determine diagnostic performances. Results IDH-mutant and 1p/19q non-codeleted LGGs tended to present with the T2/FLAIR mismatch sign and distinct borders (P < 0.001 and P = 0.038, respectively). Parameters of rADC, ITSSs, and rCBV(max) were significantly different between the 1p/19q codeleted and 1p/19q non-codeleted groups (P < 0.001, P = 0.017, and P < 0.001, respectively). A combination of cMRI, SWI, DWI, and DSC-PWI for predicting 1p/19q codeletion status in IDH-mutant LGGs resulted in a sensitivity, specificity, positive predictive value, negative predictive value, and an AUC of 80.36%, 78.57%, 83.30%, 75.00%, and 0.88, respectively. Conclusion 1p/19q codeletion status of IDH-mutant LGGs can be stratified using cMRI and advanced MRI techniques, including DWI, SWI, and DSC-PWI. A combination of cMRI, rADC, ITSSs, and rCBV(max) may improve the diagnostic performance for predicting 1p/19q codeletion status.

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