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

ABSTRACT:

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_DL) in patients with knee osteoarthritis (KOA) using conventional MRI as standard reference.

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_DL, T2-SyMRI) for phantom and in vivo knee cartilage were compared with multi-echo fast-spin-echo (MESE) sequence acquired standard T2 values (T2_MESE). The inter-reader agreement on qualitative evaluation of SyMRI_DL and the positive percent agreement (PPA) and negative percentage

SUBMITTER: Wang K 

PROVIDER: S-EPMC11832993 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature