Magnetic resonance imaging findings of dysembryoplastic neuroepithelial tumors and low-grade astrocytomas.
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BACKGROUND: Dysembryoplastic neuroepithelial tumor (DNET) and low-grade astrocytoma (LGA) could present very similar magnetic resonance imaging (MRI) findings. DNET has good seizure control after surgical removal and low malignant potential, while LGA may recur or progress. This study was designed to obtain a more accurate pretreatment diagnosis of DNET and LGA based on MRI findings. METHODS: We retrospectively enrolled patients with pathologically proven DNET and LGA from 2000 to 2024. Individual qualitative and quantitative MRI features were evaluated in both tumors, especially the T2-weighted signal intensity ratio (T2SR), which compared tumor T2-weighted signal with that of normal cerebral white matter. The diagnostic performance of conventional qualitative models, including meaningful qualitative MRI features and combined quantitative model, including T2SR and apparent diffusion coefficient (ADC) values, was evaluated using area under the curve (AUC). RESULTS: In total, 70 patients (30 DNET, 40 LGA) were included, with a mean age of 23.2 ± 11.3 (15-57) years, including 36 men (51.4%), 34 women (48.6%). For individual MRI features, DNET had more FLAIR (fluid attenuated inversion recovery) ring sign (16 [53.3%] vs 12 [30.0%], p = 0.049), higher ADC value (2076.2 [53.4] vs 1660.1 [71.9], p < 0.001), and higher T2SR (3.56 ± 0.12 vs 2.68 ± 0.63, p < 0.001). The AUC of the T2SR and ADC value was 0.886 (0.811-0.962) and 0.824 (0.724-0.924), respectively. The combined quantitative model had higher discriminative performance than the conventional qualitative model (AUC: 0.905 vs 0.727, p = 0.011). CONCLUSION: Our study suggested that quantitative MRI features, including T2SR and ADC values, enhanced the discrimination between DNET and LGA and could potentially serve as a complementary imaging marker for improving preoperative diagnostic accuracy.