Introduction
knee pain
It is reported that about 25% of adults experience knee pain, resulting in limitations to their functional capabilities and mobility, and causing a negative impact on their quality of life, and the prevalence of knee pain has shown an upward trend over time, regardless of ageRecent advances in various accelerated imaging methods have shown the feasibility of accelerated knee MRI, in some cases enabling a 5-min knee imaging protocolRecently, deep neural network (DNN)–based MRI reconstructions have been proposed, showing great potential to reduce MRI acquisition timeThe purpose of this prospective, multi-reader, multi-vendor study was to evaluate the performance of commercially available DNN-based MR image reconstruction software in enabling accelerated 2D FSE knee imaging in a clinical environment. We hypothesized that highly accelerated 2D FSE knee imaging combined with DNN–based reconstruction would allow a decrease in scan time while yielding comparable image quality and diagnostic performance for ligamentous, meniscal, and cartilaginous lesions against conventional 2D FSE knee MRI.