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Prediction Models to Improve the Diagnostic Value of Plain Radiographs in Children With Complete Discoid Lateral Meniscus

机译:预测模型,提高完整无盘横向弯腰肿瘤中血清射线照片诊断价值的预测模型

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摘要

Purpose: To develop prediction models to improve the diagnostic utility of plain radiographs for the diagnosis of complete discoid lateral meniscus by combining previously reported radiographic findings. Methods: Patients ages 5 to 16 years with complete discoid lateral meniscus confirmed by arthroscopy or magnetic resonance imaging were included. Patients with insufficient radiographs were excluded. Normal control subjects were randomly sampled by age and sex matching. Subjects were divided into 2 groups considering skeletal maturation (5-9 and 10-16 years). Radiographic variables included were lateral joint space, height of the fibular head, height of the lateral tibial spine, obliquity and cupping of the lateral tibial plateau, condylar cutoff sign, and squaring and notching of the lateral femoral condyle. Prediction models were developed by regression analyses. The cutoff value (COV) for best accuracy was determined with its sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: A total of 162 knees (126 patients) with complete discoid lateral meniscus and 151 age-and sex-matched knees (151 subjects) with normal meniscus were included. In subjects 5 to 9 years old, the prediction model was risk score = [-20.08 * height of the fibular head/femoral interepicondylar distance (FIED)] + [-42.26 * height of the lateral tibial spine/FIED]. The COV of -8.47 showed the best accuracy (74.4%), with sensitivity of 85.9%; specificity, 60.4%; PPV, 72.4%; and NPV, 78.0%. In subjects 10 to 16 years old, the prediction model was risk score = [77.04 * lateral joint space/FIED] + [-34.55 * height of the fibular head/FIED] + [-56.58 * height of the lateral tibial spine/FIED] + [-16.44 * condylar cutoff sign]. The COV of -18.03 showed the best accuracy (85.4%), with sensitivity of 79.6%; specificity, 90.4%; PPV, 87.6%; and NPV, 83.9%. Conclusions: The prediction models combining the plain radiographic findings showed higher diagnostic values than the diagnostic values of the individual radiographic findings. The results of this study provide improved diagnostic utility of plain radiography for the detection of completed discoid lateral meniscus in children.
机译:目的:开发预测模型,以改善普通射线照片诊断效用通过组合先前报告的射线照相调查结果来诊断完整的盘状横向半月板。方法:包括通过关节镜检查或磁共振成像确认的完整无表情横向半月板5至16岁的患者。不足射线照相患者被排除在外。正常对照受试者被年龄和性匹配随机取样。将受试者分为2组,考虑骨骼成熟(5-9和10-16岁)。射线照相变量包括横向关节空间,腓骨头的高度,侧胫骨脊柱的高度,侧胫骨平台,髁突截止标志和平方和侧向股骨髁的平方和切口。通过回归分析开发了预测模型。利用其灵敏度,特异性,阳性预测值(PPV)和负预测值(NPV)确定最佳精度的截止值(COV)。结果:共有162名膝盖(126名患者)具有完整的无表情圆角半月板和151岁和性别匹配的膝盖(151个科目),包括正常半月封。在5至9岁的主题中,预测模型是风险评分= [-20.08 *腓骨头/股骨头的高度/股骨头距离(FIEC)] + [-42.26 *侧胫骨脊柱/绒毛的高度]。 -8.47的COV显示最佳准确性(74.4%),灵敏度为85.9%;特异性,60.4%; PPV,72.4%;和NPV,78.0%。在10至16岁的主题中,预测模型是风险评分= [77.04 *侧面关节空间/射击] + [-34.55 *腓骨头/颈部的高度] + [-56.58 *侧胫骨脊柱/胫骨的高度] + [-16.44 *髁突截止标志]。 -18.03的COV显示最佳准确性(85.4%),灵敏度为79.6%;特异性,90.4%; PPV,87.6%;和NPV,83.9%。结论:结合普通放射线摄影结果的预测模型显示出比单个放射线摄影结果的诊断值更高的诊断价值。该研究的结果提供了改进的普通射线照相诊断效用,用于检测儿童完成的无表情侧弯液体。

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