Abstract
The study aimed to explore the application value of lumbar Magnetic Resonance Imaging (MRI) images processed by artificial intelligence algorithms in evaluating the efficacy of chinkuei shin chewan decoction (a traditional Chinese medicine to nourish the kidney) in the treatment of lumbar spinal stenosis (LSS). Specifically, 110 LSS patients admitted to the hospital were selected as the research subjects. They were randomly divided into the control group (n = 55) and experimental group (n = 55) according to different treatment methods. The control group was treated with traditional medicine, and the experimental group additionally took chinkuei shin chewan decoction on its basis. Based on the traditional U-net algorithm, a U-net registration algorithm based on artificial intelligence was designed by introducing the information entropy theory, and the algorithm was applied to the lumbar MRI image evaluation of LSS patients. Compared with the traditional U-net algorithm, the artificial intelligence-based U-net registration algorithm had a decreased noise level (P < 0.05), the Jaccard (J) value (0.84) and the Dice value (0.93) increased significantly versus the traditional algorithm (J = 0.63, Dice = 0.81), and the characteristics of the image were more accurate. Before treatment, the Oswestry Disability Index (ODI) scores of the experimental group and the control group were 44.32 ± 6.45 and 43.32 ± 5.45, respectively. After treatment, the ODI scores of the two groups were 10.21 ± 5.05 and 17.09 ± 5.23, respectively. Both showed significant improvement, while the improvement of the experimental group was more obvious than that of the control group (P < 0.05). The overall effective rates of the two groups of patients were 96.44% and 82.47%, respectively, and the experimental group was significantly higher than the control group (P < 0.05). Under the U-net registration algorithm based on artificial intelligence, the diagnostic accuracy of lumbar MRI in the experimental group was 94.45%, significantly higher than 67.5% before the introduction of the algorithm (P < 0.05). In conclusion, chinkuei shin chewan decoction are effective for the treatment of LSS, and lumbar MRI based on the artificial intelligence U-net registration algorithm can evaluate the efficacy of LSS well and is worthy of promotion.
Highlights
Lumbar spinal stenosis (LSS) is a syndrome of low back pain, lower limb pain, numbness, weakness, and intermittent claudication arising from bony or fibrous stenosis of the spinal canal and compression of the spinal cord, cauda equina, or nerve roots [1, 2]. e incidence of LSS is the second only to lumbar disc herniation among spinal canal diseases [3]
E current imaging diagnostic methods for LSS include X-ray film, computed tomography (CT) examination, and Magnetic Resonance Imaging (MRI) examination [5], among which X-ray examination measures the transverse diameter of the spinal canal and the sagittal diameter of the spinal canal through the lateral view and the transverse diameter less than 18 mm and the sagittal diameter less than 13 mm is considered spinal stenosis [6]
110 LSS patients admitted to the hospital from April 2018 to April 2021 were selected as the research subjects, including 67 males and 43 females. ey were aged between 34 and 76 years, and the average age was 42.31 ± 6.25 years. e average duration of all patients was 49.21 ± 11.02 months, including 34 patients with simple intermittent claudication, 52 patients with low back pain and intermittent claudication, 14 patients complicated by lower extremity radiation pain, and 10 patients complicated by sphincter dysfunction. e disease mostly occurred in L2/3, L3/4, L4/5, and L5/S1
Summary
Lumbar spinal stenosis (LSS) is a syndrome of low back pain, lower limb pain, numbness, weakness, and intermittent claudication arising from bony or fibrous stenosis of the spinal canal and compression of the spinal cord, cauda equina, or nerve roots [1, 2]. e incidence of LSS is the second only to lumbar disc herniation among spinal canal diseases [3]. Lumbar spinal stenosis (LSS) is a syndrome of low back pain, lower limb pain, numbness, weakness, and intermittent claudication arising from bony or fibrous stenosis of the spinal canal and compression of the spinal cord, cauda equina, or nerve roots [1, 2]. E incidence of LSS is the second only to lumbar disc herniation among spinal canal diseases [3] It is mainly divided into developmental stenosis and degenerative stenosis and degenerative spinal stenosis is more common clinically [3]. MRI examination can clearly show the spinal canal, extradural fat, dural sac, cerebrospinal fluid, spinal cord, and other structures. It has a higher resolution of soft tissue than CT. An optimization algorithm, namely, the artificial intelligence U-net registration algorithm, was incorporated into the MRI of LSS, and it was optimized on the basis of the traditional U-net algorithm
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
