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find Keyword "lumbar instability" 3 results
  • POSTERIOR UNILATERAL PEDICLE SCREW FIXATION PLUS LUMBAR INTERBODY FUSION FOR TREATMENT OF DEGENERATIVE LUMBAR INSTABILITY

    Objective To evaluate the effectiveness of posterior unilateral pedicle screw fixation plus lumbar interbody fusion in treatment of degenerative lumbar instability. Methods Between February 2008 and December 2011, 33 patients with degenerative lumbar instability were treated with posterior unilateral pedicle screw fixation plus lumbar interbody fusion, including 14 cases of lumbar disc protrusion with instability, 15 cases of lumbar spinal stenosis with instability, 3 recurrent cases of lumbar disc protrusion at 1 year after discectomy, and 1 case of extreme lateral lumbar disc protrusion. There were 20 males and 13 females with an average age of 47.2 years (range, 39-75 years). The average disease duration was 12.8 months (range, 6-25 months). Single-segment-fixation was performed in 28 cases (L4, 5 in 21 cases, L5, S1 in 6 cases, and L5, 6 in 1 case), and double-segment-fixation was performed in 5 cases (L3, 4 and L4, 5). The clinical results were evaluated by using Oswestry disability index (ODI) and modified Japanese Orthopaedic Association (JOA) score for low back pain. Results Infection occurred in 1 case, and was cured after dressing change; primary healing was obtained in the other patients. Thirty-one patients were followed up 32.3 months on average (range, 15-53 months). Cage displacement occurred in 1 case who received bilateral pedicle screw fixation plus lumbar interbody fusion; no screw breaking, Cage displacement, or pseudoarthrosis was observed in the others. X-ray films showed bone fusion in the other patients except 1 case of bone fusion failure. ODI and JOA score at last follow-up were significantly improved when compared with the ones before operation and at 2 weeks after operation (P lt; 0.05); the improvement rates were 74.0% ± 10.1% and 83.6% ± 9.4%, respectively. Conclusion Posterior unilateral pedicle screw fixation plus lumbar interbody fusion is an effective and reliable method for patients with degenerative lumbar instability because it has the advantages of simple operation and less trauma.

    Release date:2016-08-31 04:07 Export PDF Favorites Scan
  • SURGICAL TREATMENT OF DEGENERATIVE LUMBAR INSTABILITY BY MINIMALLY INVASIVE TRANSFORAMINAL LUMBAR INTERBODY FUSION

    Objective To investigate the effectiveness of surgical treatment for single-level degenerative lumbar instabil ity (DLI) by comparing traditional open transforaminal lumbar interbody fusion (TLIF) with minimally invasive TLIF. Methods Between March 2007 and May 2009,87 patients with single-level DLI were treated by traditional open TLIF (group A, n=45) and by minimally invasive TLIF (group B, n=42), respectively. There was no significant difference in gender, age, disease duration, segment level, combined diseases of lumbar spine, or the proportion of uni- and bilateral symptom between 2groups (P gt; 0.05). The indexes of surgical trauma,systemic inflammatory response, cl inical outcomes, and aravertebral muscle injury were compared between 2 groups. Results Operation was performed successfully in all patients. The patients were followed up 2.9 years on average in group A and 2.8 years on average in group B. The incision, blood loss, and postoperative drainage in group B were significantly less than those in group A (P lt; 0.05), but the operation time in group B was significantly longer than that in group A (P lt; 0.05). There were significant differences (P lt; 0.05) in C-reactive protein, leucocyte count, and creatine kinase MM between 2 groups at 24 hours postoperatively as well as in C-reactive protein at 6 days postoperatively; group B was superior to group A. At last follow-up, the Oswestry disabil ity index (ODI) and visual analogue score (VAS) were significantly improved when compared with the preoperative scores in 2 groups (P lt; 0.05). There were significant differences in ODI and back pain VAS score (P lt; 0.05), but no significant difference in leg pain VAS score (P gt; 0.05) between 2 groups. At last follow-up, no low back pain occurred in 8 and 18 cases, mild in 25 and 18 cases, moderate in 9 and 6 cases, and severe in 3 and 0 cases in groups A and B, respectively, showing that low back pain was significantly l ighter in group B than in group A (Z= —2.574, P=0.010). At last follow-up, the atrophy ratio of multifidus muscle was 37% ± 13% in group A and was 15% ± 7% in group B, showing significant difference (t=12.674, P=0.000). The multifidus muscle atrophy was rated as grade I in 18 and 44 sides, as grade II in 42 and 32 sides, and as grade III in 30 and 8 sides in groups A and B, respectively, showing significant difference (Z= — 4.947, P=0.000). Conclusion Both traditional open TLIF and minimally invasive TLIF are the effective treatments for single-level DLI. Minimally invasive TLIF has less surgical trauma, sl ighter postoperative systemic inflammatory response, less paravertebral muscle injury, and lower incidence of postoperative back pain, but it has longer operation time.

    Release date:2016-08-31 05:42 Export PDF Favorites Scan
  • Development and validation of an automatic diagnostic tool for lumbar stability based on deep learning

    Objective To develop an automatic diagnostic tool based on deep learning for lumbar spine stability and validate diagnostic accuracy. Methods Preoperative lumbar hyper-flexion and hyper-extension X-ray films were collected from 153 patients with lumbar disease. The following 5 key points were marked by 3 orthopedic surgeons: L4 posteroinferior, anterior inferior angles as well as L5 posterosuperior, anterior superior, and posterior inferior angles. The labeling results of each surgeon were preserved independently, and a total of three sets of labeling results were obtained. A total of 306 lumbar X-ray films were randomly divided into training (n=156), validation (n=50), and test (n=100) sets in a ratio of 3∶1∶2. A new neural network architecture, Swin-PGNet was proposed, which was trained using annotated radiograph images to automatically locate the lumbar vertebral key points and calculate L4, 5 intervertebral Cobb angle and L4 lumbar sliding distance through the predicted key points. The mean error and intra-class correlation coefficient (ICC) were used as an evaluation index, to compare the differences between surgeons’ annotations and Swin-PGNet on the three tasks (key point positioning, Cobb angle measurement, and lumbar sliding distance measurement). Meanwhile, the change of Cobb angle more than 11° was taken as the criterion of lumbar instability, and the lumbar sliding distance more than 3 mm was taken as the criterion of lumbar spondylolisthesis. The accuracy of surgeon annotation and Swin-PGNet in judging lumbar instability was compared. Results ① Key point: The mean error of key point location by Swin-PGNet was (1.407±0.939) mm, and by different surgeons was (3.034±2.612) mm. ② Cobb angle: The mean error of Swin-PGNet was (2.062±1.352)° and the mean error of surgeons was (3.580±2.338)°. There was no significant difference between Swin-PGNet and surgeons (P>0.05), but there was a significant difference between different surgeons (P<0.05). ③ Lumbar sliding distance: The mean error of Swin-PGNet was (1.656±0.878) mm and the mean error of surgeons was (1.884±1.612) mm. There was no significant difference between Swin-PGNet and surgeons and between different surgeons (P>0.05). The accuracy of lumbar instability diagnosed by surgeons and Swin-PGNet was 75.3% and 84.0%, respectively. The accuracy of lumbar spondylolisthesis diagnosed by surgeons and Swin-PGNet was 70.7% and 71.3%, respectively. There was no significant difference between Swin-PGNet and surgeons, as well as between different surgeons (P>0.05). ④ Consistency of lumbar stability diagnosis: The ICC of Cobb angle among different surgeons was 0.913 [95%CI (0.898, 0.934)] (P<0.05), and the ICC of lumbar sliding distance was 0.741 [95%CI (0.729, 0.796)] (P<0.05). The result showed that the annotating of the three surgeons were consistent. The ICC of Cobb angle between Swin-PGNet and surgeons was 0.922 [95%CI (0.891, 0.938)] (P<0.05), and the ICC of lumbar sliding distance was 0.748 [95%CI(0.726, 0.783)] (P<0.05). The result showed that the annotating of Swin-PGNet were consistent with those of surgeons. ConclusionThe automatic diagnostic tool for lumbar instability constructed based on deep learning can realize the automatic identification of lumbar instability and spondylolisthesis accurately and conveniently, which can effectively assist clinical diagnosis.

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