European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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To develop a three-stage convolutional neural network (CNN) approach to segment anatomical structures, classify the presence of lumbar spinal stenosis (LSS) for all 3 stenosis types: central, lateral recess and foraminal and assess its severity on spine MRI and to demonstrate its efficacy as an accurate and consistent diagnostic tool. ⋯ The CNN showed comparable performance to radiologist subspecialists for the detection and classification of LSS. The integration of neural network models in the detection of LSS could bring higher accuracy, efficiency, consistency, and post-hoc interpretability in diagnostic practices.
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This study aimed to investigate the effectiveness of tract-specific diffusion tensor imaging (DTI) metrics in identifying the responsible segments for neurological dysfunction in cervical spondylotic myelopathy (CSM). ⋯ When considering all cervical segments, AD from the DTI-Dorsal Column exhibited the most significant potential in identifying responsible segments. This potential was found to be superior to that of DTI-Whole spinal cord, aspect ratio, the most stenotic segment, T2 high signals, transverse ratio, motor nerve dysfunction, and sensory nerve dysfunction. The diagnostic effectiveness of both DTI and MRI parameters was notably influenced by the specific cervical spine segment.
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Observational Study
Text neck is not associated with neck and upper limb disability in young adults who use smartphones.
The objective of the present study was to correlate neck and upper-limb disabilities with neck flexion in university students who are smartphone users. While handling smartphones, a posture with sustained neck flexion known as "Text Neck" is usually adopted, and some authors related to musculoskeletal symptoms on the neck and the upper limb. However, recent studies state that such an association is questionable. ⋯ There was no association between neck flexion with the DASH and NDI or the grip and lateral pinch strength after the correlation and binary logistic regression analyses. The results show that the scores of DASH, NDI, hand grip and lateral pinch strength, have no association with the maximum neck flexion.