MRI-derived dural sac and lumbar vertebrae 3D volumetry has potential for detection of Marfan syndrome
PURPOSE: To assess the feasibility and diagnostic accuracy of MRI-derived 3D volumetry of lower lumbar vertebrae and dural sac segments using shape-based machine learning for the detection of Marfan syndrome (MFS) compared with dural sac diameter ratios (the current clinical standard). - MATERIALS A...
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| Hauptverfasser: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
19 June 2024
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| In: |
Diagnostics
Year: 2024, Jahrgang: 14, Heft: 12, Pages: 1-14 |
| ISSN: | 2075-4418 |
| DOI: | 10.3390/diagnostics14121301 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.3390/diagnostics14121301
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| Verfasserangaben: | Omar Naas, Tobias Norajitra, Christian Lückerath, Matthias A. Fink, Klaus Maier-Hein, Hans-Ulrich Kauczor and Fabian Rengier |
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| 245 | 1 | 0 | |a MRI-derived dural sac and lumbar vertebrae 3D volumetry has potential for detection of Marfan syndrome |c Omar Naas, Tobias Norajitra, Christian Lückerath, Matthias A. Fink, Klaus Maier-Hein, Hans-Ulrich Kauczor and Fabian Rengier |
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| 520 | |a PURPOSE: To assess the feasibility and diagnostic accuracy of MRI-derived 3D volumetry of lower lumbar vertebrae and dural sac segments using shape-based machine learning for the detection of Marfan syndrome (MFS) compared with dural sac diameter ratios (the current clinical standard). - MATERIALS AND METHODS: The final study sample was 144 patients being evaluated for MFS from 01/2012 to 12/2016, of whom 81 were non-MFS patients (46 [67%] female, 36 ± 16 years) and 63 were MFS patients (36 [57%] female, 35 ± 11 years) according to the 2010 Revised Ghent Nosology. All patients underwent 1.5T MRI with isotropic 1 × 1 × 1 mm3 3D T2-weighted acquisition of the lumbosacral spine. Segmentation and quantification of vertebral bodies L3-L5 and dural sac segments L3-S1 were performed using a shape-based machine learning algorithm. For comparison with the current clinical standard, anteroposterior diameters of vertebral bodies and dural sac were measured. Ratios between dural sac volume/diameter at the respective level and vertebral body volume/diameter were calculated. - RESULTS: Three-dimensional volumetry revealed larger dural sac volumes (p < 0.001) and volume ratios (p < 0.001) at L3-S1 levels in MFS patients compared with non-MFS patients. For the detection of MFS, 3D volumetry achieved higher AUCs at L3-S1 levels (0.743, 0.752, 0.808, and 0.824) compared with dural sac diameter ratios (0.673, 0.707, 0.791, and 0.848); a significant difference was observed only for L3 (p < 0.001). - CONCLUSION: MRI-derived 3D volumetry of the lumbosacral dural sac and vertebral bodies is a feasible method for quantifying dural ectasia using shape-based machine learning. Non-inferior diagnostic accuracy was observed compared with dural sac diameter ratio (the current clinical standard for MFS detection). | ||
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| 650 | 4 | |a machine learning | |
| 650 | 4 | |a magnetic resonance imaging | |
| 650 | 4 | |a Marfan syndrome | |
| 650 | 4 | |a volumetry | |
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