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Erschienen in: European Radiology 9/2022

24.03.2022 | Musculoskeletal

Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI

verfasst von: Simon Sun, Ek Tsoon Tan, Douglas N. Mintz, Meghan Sahr, Yoshimi Endo, Joseph Nguyen, R. Marc Lebel, John A. Carrino, Darryl B. Sneag

Erschienen in: European Radiology | Ausgabe 9/2022

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Abstract

Objectives

To compare interobserver agreement and image quality of 3D T2-weighted fast spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction (DLRecon) against standard-of-care (SOC) reconstruction, as well as against 2D T2w-FSE images. The hypothesis was that DLRecon 3D T2w-FSE would afford improved image quality and similar interobserver agreement compared to both SOC 3D and 2D T2w-FSE.

Methods

Under IRB approval, patients who underwent routine 3-T lumbar spine (L-spine) MRI from August 17 to September 17, 2020, with both isotropic 3D and 2D T2w-FSE sequences, were retrospectively included. A DLRecon algorithm, with denoising and sharpening properties was applied to SOC 3D k-space to generate 3D DLRecon images. Four musculoskeletal radiologists blinded to reconstruction status evaluated randomized images for motion artifact, image quality, central/foraminal stenosis, disc degeneration, annular fissure, disc herniation, and presence of facet joint cysts. Inter-rater agreement for each graded variable was evaluated using Conger’s kappa (κ).

Results

Thirty-five patients (mean age 58 ± 19, 26 female) were evaluated. 3D DLRecon demonstrated statistically significant higher median image quality score (2.0/2) when compared to SOC 3D (1.0/2, p < 0.001), 2D axial (1.0/2, p < 0.001), and 2D sagittal sequences (1.0/2, p value < 0.001). κ ranges (and 95% CI) for foraminal stenosis were 0.55–0.76 (0.32–0.86) for 3D DLRecon, 0.56–0.73 (0.35–0.84) for SOC 3D, and 0.58–0.71 (0.33–0.84) for 2D. Mean κ (and 95% CI) for central stenosis at L4-5 were 0.98 (0.96–0.99), 0.97 (0.95–0.99), and 0.98 (0.96–0.99) for 3D DLRecon, 3D SOC and 2D, respectively.

Conclusions

DLRecon 3D T2w-FSE L-spine MRI demonstrated higher image quality and similar interobserver agreement for graded variables of interest when compared to 3D SOC and 2D imaging.

Key Points

3D DLRecon T2w-FSE isotropic lumbar spine MRI provides improved image quality when compared to 2D MRI, with similar interobserver agreement for clinical evaluation of pathology.
3D DLRecon images demonstrated better image quality score (2.0/2) when compared to standard-of-care (SOC) 3D (1.0/2), p value < 0.001; 2D axial (1.0/2), p value < 0.001; and 2D sagittal sequences (1.0/2), p value < 0.001.
Interobserver agreement for major variables of interest was similar among all sequences and reconstruction types. For foraminal stenosis, κ ranged from 0.55 to 0.76 (95% CI 0.32–0.86) for 3D DLRecon, 0.56–0.73 (95% CI 0.35–0.84) for standard-of-care (SOC) 3D, and 0.58–0.71 (95% CI 0.33–0.84) for 2D.
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Metadaten
Titel
Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI
verfasst von
Simon Sun
Ek Tsoon Tan
Douglas N. Mintz
Meghan Sahr
Yoshimi Endo
Joseph Nguyen
R. Marc Lebel
John A. Carrino
Darryl B. Sneag
Publikationsdatum
24.03.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 9/2022
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-022-08708-4

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