ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2026
Clinical evaluation of deep learning accelerated lumbar T2-weighted and fat-suppressed MRI sequences.
Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectiveTo prospectively compare the scanning efficiency, image quality, and diagnostic performance of deep learning (DL)-based turbo spin-echo sequences (TSE-DL, TSE-DL-FS) with conventional sequences (TSE-SD, TSE-FS) and dual-echo Dixon water–fat separation sequences (TSE-Dixon) in lumbar spine MRI, providing evidence for clinical protocol optimization.
methodsA total of 71 patients with lumbar spine disorders were prospectively enrolled. Each underwent five MRI sequences. The DL sequences were reconstructed via a U-Net–based network. Image evaluation was performed by two blinded radiologists using 4-point and 5-point Likert scales. Intergroup comparisons were conducted with the Kruskal–Wallis H test and Bonferroni post-hoc corrections. Signal-to-noise ratio (SNR) was measured using regions of interest (ROI) and compared via one-way ANOVA and Bonferroni tests. Disc–cerebrospinal fluid ratio (DCFR) was calculated and correlated with Pfirrmann grades via Spearman analysis.
resultsThe total scan time of TSE-DL and TSE-DL-FS (118 s) was significantly shorter than that of conventional TSE-SD + TSE-FS (202 s) and TSE-Dixon (145 s), improving efficiency by 41.6% and 18.6%, respectively. Qualitative and quantitative image scores of TSE-DL + TSE-DL-FS were comparable to conventional sequences (P > 0.05), but superior to TSE-Dixon (P < 0.05). Although TSE-Dixon achieved the most homogeneous fat suppression, its SNR was the lowest. DCFR showed a negative correlation with Pfirrmann grade in all sequences, strongest in TSE-DL (r = − 0.655, P < 0.001).
conclusionThe combination of DL-reconstructed TSE-DL and TSE-DL-FS sequences can markedly reduce lumbar MRI acquisition time while maintaining diagnostic image quality. Moreover, TSE-DL demonstrates potential benefits in the quantitative evaluation of disc degeneration. This highlights its promise for broader clinical adoption.
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