【Abstract】 Objective To investigate the clinical manifestation of thoracolumbar vertebral osteoid osteoma and to evaluate the surgical procedure and effectiveness of transpedicular tumor resection and spine reconstruction with posterior pedicle screw system and bone graft. Methods Between January 2001 and June 2010, 8 cases of thoracolumbar vertebral osteoid osteoma underwent one-stage transpedicular intralesional excision and bone graft combined with spine reconstruction with pedicle screw system through posterior approach. There were 5 males and 3 females with a median age of 15.5 years (range, 6-27 years). Affected segments included T8 in 1 case, T10 in 1 case, L2 in 2 cases, L3 in 1 case, L4 in 1 case, and L5 in 2 cases. All of the cases had back pain, 1 had radiating pain of lower extremity, and 4 patients presented with scoliosis. The mean diameter of lesions was 1.6 cm (range, 0.9-2.0 cm). Results The mean operation time was 110 minutes (range, 70-170 minutes) and the mean blood loss was 720 mL (range, 300-1 400 mL). The postoperative pathologic examination showed osteoid osteoma in all cases. All patients achieved healing of the incisions by first intention. Immediate relief of pain was observed after operation in all patients without complication. The patients were followed up 12-58 months (mean, 39 months). No local recurrence or spinal deformity was observed during the follow-up. Conclusion CT can show a low attenuation nidus with central mineralization and varying degrees of perinidal sclerosis, so it has great value for final diagnosis of thoracolumbar vertebral osteoid osteoma. One-stage transpedicular intralesional excision supplemented by impaction bone graft and combined posterior pedicle screw stabilization is a safe and effective treatment.
ObjectiveTo evaluate the surgical technique and the effectiveness of the free superficial palmar branch of the radial artery flap to repair soft tissue defect of fingers.MethodsBetween June 2014 and June 2017, 10 cases (10 fingers) of soft tissue defects of fingers were repaired with the free superficial palmar branch of the radial artery flaps. There were 8 males and 2 females with an average age of 29.8 years (range, 23-42 years). The causes of injury included the chainsaw cutting injury in 6 cases, the machine crush injury in 2 cases, and the glass scratching in 2 cases. The time from injury to admission was 1-8 hours with an average of 3 hours. The locations were the volar of the middle of index finger in 3 cases, the volar of the distal of index finger in 1 case, the volar of the distal of middle finger in 3 cases, the ulnar side of distal interphalangeal joint of ring finger in 1 case, and the volar of the distal of the little finger in 2 cases. The area of soft tissue defect ranged from 1.8 cm×0.9 cm to 2.8 cm×2.1 cm, and the area of flap ranged from 2.0 cm×1.0 cm to 3.0 cm×2.3 cm. The donor sites were sutured directly.ResultsAll flaps survived after operation, and the wounds healed by first intention. The incisions of donor site also healed by first intention with a linear scar. All cases were followed up 6-12 months (mean, 9 months). The appearance and texture of the flaps were satisfactory. The pain sensation, warm sensation, and touch sensation of the flap recovered. At last follow-up, the two-point discrimination of the flap was 6-13 mm (mean, 7.5 mm). According to the assessment of the upper limb function issued by tha Hand Surgery Society of Chinese Medical Association, the results were graded as excellent in 8 cases and good in 2 cases.ConclusionThe free superficial palmar branch of the radial artery flap is easy to harvest and anastomose and has small injury. It is an ideal method in repairing of soft tissue defects of fingers.
Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index. However, blood gas analysis is an invasive operation, and can’t continuously monitor the development of the disease. In response to the above problems, in this study, we proposed a new algorithm for identifying the severity of ARDS disease. Based on a variety of non-invasive physiological parameters of patients, combined with feature selection techniques, this paper sorts the importance of various physiological parameters. The cross-validation technique was used to evaluate the identification performance. The classification results of four supervised learning algorithms using neural network, logistic regression, AdaBoost and Bagging were compared under different feature subsets. The optimal feature subset and classification algorithm are comprehensively selected by the sensitivity, specificity, accuracy and area under curve (AUC) of different algorithms under different feature subsets. We use four supervised learning algorithms to distinguish the severity of ARDS (P/F ≤ 300). The performance of the algorithm is evaluated according to AUC. When AdaBoost uses 20 features, AUC = 0.832 1, the accuracy is 74.82%, and the optimal AUC is obtained. The performance of the algorithm is evaluated according to the number of features. When using 2 features, Bagging has AUC = 0.819 4 and the accuracy is 73.01%. Compared with traditional methods, this method has the advantage of continuously monitoring the development of patients with ARDS and providing medical staff with auxiliary diagnosis suggestions.