Deep-Learning-Aided Evaluation of Spondylolysis Imaged with Ultrashort Echo Time Magnetic Resonance Imaging

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 18; p. 8001
• Main Authors: Achar, Suraj, Hwang, Dosik, Finkenstaedt, Tim, Malis, Vadim, Bae, Won C.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.09.2023; MDPI
• Subjects: Adolescent; Backache; bone fracture; Comparative analysis; CT imaging; Deep Learning; Defects; Equipment and supplies; Fractures; Fractures, Bone; Humans; image processing; image regression; low back pain; lumbar spine; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging equipment; Morphology; pars; Radiation therapy; Registration; Reproductive organs; Spondylolysis - diagnostic imaging; Teaching; Tomography; Tomography, X-Ray Computed - methods; South Korea; image processing; lumbar spine; image regression; low back pain; pars; bone fracture

Isthmic spondylolysis results in fracture of pars interarticularis of the lumbar spine, found in as many as half of adolescent athletes with persistent low back pain. While computed tomography (CT) is the gold standard for the diagnosis of spondylolysis, the use of ionizing radiation near reproducti...