Assessment of image quality and diagnostic accuracy for cervical spondylosis using T2w-STIR sequence with a deep learning-based reconstruction approach

Objectives To investigate potential of enhancing image quality, maintaining interobserver consensus, and elevating disease diagnostic efficacy through the implementation of deep learning-based reconstruction (DLR) processing in 3.0 T cervical spine fast magnetic resonance imaging (MRI) images, compa...

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Veröffentlicht in:	European spine journal 2024-08, Vol.33 (8), p.2982-2996
Hauptverfasser:	Tao, Qiuying, Wang, Kaiyu, Wen, Baohong, Kang, Yimeng, Dang, Jinghan, Sun, Jieping, Niu, Xiaoyu, Zhang, Mengzhe, Liu, Zijun, Wang, Weijian, Zhang, Yong, Cheng, Jingliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Cervical Vertebrae - diagnostic imaging Conserved sequence Deep Learning Female Humans Hypertrophy Image processing Image Processing, Computer-Assisted - methods Intervertebral discs Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Middle Aged Neurosurgery Original Article Spinal cord Spine (cervical) Spondylosis Spondylosis - diagnostic imaging Statistical analysis Stenosis Surgical Orthopedics Vertebrae
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