Arthritis & rheumatology (Hoboken, N.J.) · 2026
High-Resolution Deep Learning Dixon Magnetic Resonance Imaging of the Sacroiliac Joints Is Noninferior to Standard Magnetic Resonance Imaging in Patients With Suspected Axial Spondyloarthritis.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Deppe Dominik, Koka Mariam, Proft Fabian, Ulas Sevtap Tugce, Hermann Kay-Geert, Poddubnyy Denis, Protopopov Mikhail, Baum Henriette, Haibel Hildrun, Shahryari Mehrgan, Rodriguez Valeria Rios, Vogel-Claussen Jens, Diekhoff Torsten
Аннотация
OBJECTIVE: To compare the multisequence standard magnetic resonance imaging (sMRI) protocol of the sacroiliac joints with a single high-resolution deep learning-reconstructed Dixon sequence (DL-Dixon) in patients with suspected axial spondyloarthritis (axSpA).
METHODS: Seventy-six patients with chronic low back pain and suspected axSpA underwent clinical, laboratory, and genetic assessment followed by 3T sMRI (T1, T2 fat saturation, volumetric interpolated breath-hold examination, STIR; 19:49 minutes) and high-resolution DL-Dixon imaging (1 mm isotropic; 5:24 minutes). Three blinded readers assessed overall imaging diagnosis, diagnostic confidence, and lesion presence (osteitis, fat metaplasia, erosions, sclerosis, joint space changes). DL was used solely for image reconstruction. The clinical diagnosis served as the reference for diagnostic accuracy; sMRI served as the reference for lesion analysis. Diagnostic accuracy was expressed as the area under the curve (AUC; balanced accuracy). Noninferiority was tested using a predefined margin of 0.05. A decrease of ≤0.05 compared to sMRI was defined as clinically acceptable.
RESULTS: Nineteen patients were diagnosed with axSpA. DL-Dixon showed similar diagnostic performance (AUC 0.86 [95% confidence interval (CI) 0.76-0.96]) compared to sMRI (AUC 0.87 [95% CI 0.78-0.96]) and met noninferiority criteria. Interreader agreement was almost perfect for sMRI (κ = 0.81) and substantial for DL-Dixon (κ = 0.71). At the lesion level, DL-Dixon achieved good performance for erosions (AUC 0.83), fat metaplasia (AUC 0.80), and joint space changes (AUC 0.80), and fair performance for osteitis (AUC 0.73) and sclerosis (AUC 0.64). Using DL-Dixon, scan time was reduced by 73%.
CONCLUSION: DL-Dixon provides clinically acceptable diagnostic performance while substantially reducing scan time. This approach may improve efficiency and accessibility of MRI for axSpA assessment.
METHODS: Seventy-six patients with chronic low back pain and suspected axSpA underwent clinical, laboratory, and genetic assessment followed by 3T sMRI (T1, T2 fat saturation, volumetric interpolated breath-hold examination, STIR; 19:49 minutes) and high-resolution DL-Dixon imaging (1 mm isotropic; 5:24 minutes). Three blinded readers assessed overall imaging diagnosis, diagnostic confidence, and lesion presence (osteitis, fat metaplasia, erosions, sclerosis, joint space changes). DL was used solely for image reconstruction. The clinical diagnosis served as the reference for diagnostic accuracy; sMRI served as the reference for lesion analysis. Diagnostic accuracy was expressed as the area under the curve (AUC; balanced accuracy). Noninferiority was tested using a predefined margin of 0.05. A decrease of ≤0.05 compared to sMRI was defined as clinically acceptable.
RESULTS: Nineteen patients were diagnosed with axSpA. DL-Dixon showed similar diagnostic performance (AUC 0.86 [95% confidence interval (CI) 0.76-0.96]) compared to sMRI (AUC 0.87 [95% CI 0.78-0.96]) and met noninferiority criteria. Interreader agreement was almost perfect for sMRI (κ = 0.81) and substantial for DL-Dixon (κ = 0.71). At the lesion level, DL-Dixon achieved good performance for erosions (AUC 0.83), fat metaplasia (AUC 0.80), and joint space changes (AUC 0.80), and fair performance for osteitis (AUC 0.73) and sclerosis (AUC 0.64). Using DL-Dixon, scan time was reduced by 73%.
CONCLUSION: DL-Dixon provides clinically acceptable diagnostic performance while substantially reducing scan time. This approach may improve efficiency and accessibility of MRI for axSpA assessment.