Abstract
In this paper, the change characteristics of sagittal parameters of the patient’s body before and after anterior cervical surgery and rehabilitation effect were analyzed. The rotation transformation and perspective projection transformation were applied to construct a positive and lateral position (PLP) matching-based three-dimensional reconstruction (PLP-3DR) algorithm, which was compared with the marching cubes (MC) algorithm and gravity point (GP) algorithm. PLP-3DR was adopted in X-ray image diagnosis of 124 cervical spondylosis patients. Results showed that sensitivity, specificity, and accuracy of PLP-3DR were markedly higher than those of MC and GP ( P < 0.05 ). The postoperative C2-7 Cobbs’s angle (C2-7Cobb) (11.27 ± 8.41°) was smaller than that before the surgery (15.03 ± 7.39°) ( P < 0.05 ), while the postoperative cervical sagittal vertical axis (cSVA) (21.33 ± 10.38 mm) and Japanese Orthopaedic Association (JOA) scores (16.95 ± 6.07 points) were greater than those before the surgery (14.66 ± 9.68 mm and 11.39 ± 4.28 points) ( P < 0.05 ). Besides, the improvement rate of patients from the cSVA >25 mm group (68.31%) was greater than the rate of the cSVA <15 mm group (45.88%) and the cSVA within 15–25 mm group (47.29%) ( P < 0.05 ). In conclusion, PLP-3DR could effectively improve the diagnostic effect of spine X-ray film images, with high sensitivity and specificity. Anterior cervical surgery had a good curative effect for patients with cervical spondylosis and was closely related to cervical parameters (cSVA, T1 slope, and C2-7Cobb). In addition, patients with cSVA>25 mm could have the best postoperative rehabilitation effect.
Highlights
The change characteristics of sagittal parameters of the patient’s body before and after anterior cervical surgery and rehabilitation effect were analyzed. e rotation transformation and perspective projection transformation were applied to construct a positive and lateral position (PLP) matching-based three-dimensional reconstruction (PLP-3DR) algorithm, which was compared with the marching cubes (MC) algorithm and gravity point (GP) algorithm
It was found that the sensitivity, specificity, and accuracy of PLP-3DR were obviously greater than those of MC and GP, and the difference was statistically marked (P < 0.05)
Analysis Results of Overall Data of All Patients. e C27Cobb, cervical sagittal vertical axis (cSVA), and Japanese Orthopaedic Association (JOA) scores of patients were compared before and after surgery, and the results are shown in Figure 6. e C2-7Cobb before surgery was 15.03 ± 7.39°, cSVA was 14.66 ± 9.68 mm, and JOA score was 11.39 ± 4.28 points
Summary
The change characteristics of sagittal parameters of the patient’s body before and after anterior cervical surgery and rehabilitation effect were analyzed. e rotation transformation and perspective projection transformation were applied to construct a positive and lateral position (PLP) matching-based three-dimensional reconstruction (PLP-3DR) algorithm, which was compared with the marching cubes (MC) algorithm and gravity point (GP) algorithm. The change characteristics of sagittal parameters of the patient’s body before and after anterior cervical surgery and rehabilitation effect were analyzed. PLP-3DR was adopted in X-ray image diagnosis of 124 cervical spondylosis patients. PLP-3DR could effectively improve the diagnostic effect of spine X-ray film images, with high sensitivity and specificity. Anterior cervical surgery had a good curative effect for patients with cervical spondylosis and was closely related to cervical parameters (cSVA, T1 slope, and C2-7Cobb). Erefore, the transformation of sagittal parameters before and after clinical anterior cervical spine surgery is a topic worth investigating. MRI images have a good display effect on human soft tissues and have the advantages of multiparameters, high resolution, and high diagnostic sensitivity, but the operation is very complicated, with expensive cost, and not suitable for general application [11]. In the acquisition of spine images, the image quality will be reduced due to the interference of noise, which will affect the reconstructed data
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