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• Clinical Article •
Prediction of 1p/19q co-deletion in adult diffuse glioma using combined DKI, FW-DTI, and MAP-MRI
QU Yuan  TIAN Hui  ZHANG Xu  LI Xianjun 

Cite this article as: QU Y, TIAN H, ZHANG X, et al. Prediction of 1p/19q co-deletion in adult diffuse glioma using combined DKI, FW-DTI, and MAP-MRI[J]. Chin J Magn Reson Imaging, 2026, 17(4): 56-61. DOI:10.12015/issn.1674-8034.2026.04.008.


[Abstract] Objective To investigate the value of combined diffusion kurtosis imaging (DKI), free water diffusion tensor imaging (FW-DTI), and mean apparent propagator magnetic resonance imaging (MAP-MRI) in predicting 1p/19q co-deletion in adult diffuse gliomas.Materials and Methods Clinical, pathological, and imaging features from 72 glioma patients with surgically confirmed pathology were retrospectively analyzed. Patients were categorized into the co-deletion group (n=32) and non-co-deletion group (n=40) based on 1p/19q co-deletion status. Preoperative conventional MRI and q-space diffusion spectrum imaging (DSI) were performed, with post-processing generating DKI, FW-DTI, and MAP-MRI parameter maps. Clinical characteristics, conventional MRI features, and differences in diffusion model parameters were compared between groups. Receiver operating characteristic (ROC) curves were utilized to evaluate the predictive value of each parameter for 1p/19q co-deletion in gliomas, with area under curve (AUC) values calculated.Results Among MRI features, tumor margin indistinctness differed significantly between groups, while other clinical characteristics and MRI features showed no statistically differences. The 1p/19q-deleted group exhibited higher mean kurtosis (MK), extracellular free water fraction (FWF), extracellular water molecule return-to-origin probability (RTOP), and non-Gaussian index (NG) values compared to the non-deleted group (t-values were 4.913, 4.376, 3.761, and 6.916, respectively, with P < 0.05.). Conversely, the free water-corrected anisotropy fraction (FW-FA) and q-space inverse variance (QIV) values were lower in the deleted group (t-values were 2.945 and 3.761, with P < 0.05). No statistically significant differences were observed in other parameters (P > 0.05). The combined AUC value for predicting 1p/19q co-deletion using MK, FWF, and NG was 0.935, with a sensitivity of 85.00% and specificity of 93.75%.Conclusions The combination of DKI, FW-DTI, and MAP-MRI can predict the status of 1p/19q co-deletion in gliomas preoperatively, facilitating the development of individualized treatment plans.
[Keywords] glioma；1p/19q co-deletion；magnetic resonance imaging；diffusion kurtosis imaging；free water diffusion tensor imaging；mean apparent propagator

QU Yuan1, 2   TIAN Hui2   ZHANG Xu2   LI Xianjun1*  

1 Department of Radiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China

2 Department of Radiology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China

Corresponding author: LI X J, E-mail: xianj.li@mail.xjtu.edu.cn

Conflicts of interest   None.

Received  2025-12-02
Accepted  2026-03-16
DOI: 10.12015/issn.1674-8034.2026.04.008
Cite this article as: QU Y, TIAN H, ZHANG X, et al. Prediction of 1p/19q co-deletion in adult diffuse glioma using combined DKI, FW-DTI, and MAP-MRI[J]. Chin J Magn Reson Imaging, 2026, 17(4): 56-61. DOI:10.12015/issn.1674-8034.2026.04.008.

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