Super-resolution synthetic MRI using deep learning reconstruction for accurate diagnosis of knee osteoarthritis.

• Tác giả: Jiawei Jiang, Haoran Lei, Liang Li, Weiyin Vivian Liu, Xuefang Lu, Kejun Wang, Renjie Yang, Yunfei Zha
• Ngôn ngữ: eng
• Ký hiệu phân loại: 940.53144 1918
• Thông tin xuất bản: Germany : Insights into imaging , 2025
• Bộ sưu tập: NCBI
• ID: 183750

Tóm tắt

OBJECTIVE: To assess the accuracy of deep learning reconstruction (DLR) technique on synthetic MRI (SyMRI) including T2 measurements and diagnostic performance of DLR synthetic MRI (SyMRI MATERIALS AND METHODS: This prospective study recruited 36 volunteers and 70 patients with suspected KOA from May to October 2023. DLR and non-DLR synthetic T2 measurements (T2-SyMRI RESULTS: DLR significantly narrowed the quantitative differences between T2-SyMRI CONCLUSION: DLR synthetic knee MRI provided both weighted images for clinical diagnosis and accurate T2 measurements for more confidently identifying early cartilage degeneration from normal-appearing cartilages. CRITICAL RELEVANCE STATEMENT: One-acquisition synthetic MRI based on deep learning reconstruction provided an accurate quantitative T2 map and morphologic images in relatively short scan time for more confidently identifying early cartilage degeneration from normal-appearing cartilages compared to the conventional morphologic knee sequences. KEY POINTS: Deep learning reconstruction (DLR) synthetic knee cartilage T2 values showed no difference from conventional ones. DLR synthetic T1-, proton density-, STIR-weighted images had high positive percent agreement and negative percentage agreement using MRI OA Knee Score features. DLR synthetic T2 measurements could identify early cartilage degeneration from normal-appearing ones.