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Pilot assessment of a radiologic classification system for segmentation defects of the vertebrae.

机译:放射学分类系统对椎骨分割缺陷的初步评估。

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Existing nomenclature systems for describing and reporting congenital segmentation defects of the vertebrae (SDV) are confusing, inconsistently applied, and lack molecular genetic advances. Our aim was to develop and assess a new classification system for SDV. A multidisciplinary group of the International Consortium for Vertebral Anomalies and Scoliosis (ICVAS) developed a new classification system for SDV, and 5 members group (Group 1) independently classified 10 previously unseen cases using this system. Inter-observer reliability was assessed using kappa, which compares observed agreement with that expected by chance. Seven independent general radiologists unaffiliated with the ICVAS (Group 2) classified the same 10 cases (total, 70 scores) before and after the ICVAS system was explained. We demonstrated the following: Inter-observer reliability for Group 1 yielded a kappa value of 0.21 (95% confidence intervals (CI) 0.052, 0.366, P = 0.0046); A consensus diagnosis was established for the 10 cases. For Group 2, before the ICVAS system was explained, 1 of 70 scores (1.4%) agreed with the Group 1 consensus diagnoses; Group 2 offered 12 different diagnoses, but 38 of 70 (54.3%) responses were "Don't Know." After the ICVAS system was explained, 47 of 70 responses (67.1%; 95% CI 55.5, 77.0) agreed with the Group 1 consensus, an improvement of 65.7% (95% CI 52.5, 75.6, P < 0.00005), with no "Don't Know" responses. Group 2 average reporting times, before and after explanation of the ICVAS system, were 148 and 48 min, respectively. We conclude that the ICVAS radiological classification system was found to be reliable and applicable for 10 SDV phenotypes.
机译:现有的用于描述和报告先天性椎体节段性缺陷的命名系统(SDV)令人困惑,应用不一致且缺乏分子遗传学进展。我们的目标是开发和评估SDV的新分类系统。国际椎骨异常和脊柱侧凸联合会(ICVAS)的一个多学科小组开发了SDV的新分类系统,并且5个成员组(第1组)使用该系统对10个以前未见过的病例进行了独立分类。观察者间的可靠性使用kappa进行了评估,该方法将观察到的一致性与偶然期望的一致性进行了比较。与ICVAS无关的7名独立的一般放射科医生(第2组)在解释ICVAS系统之前和之后对相同的10例病例(总计70分)进行了分类。我们证明了以下内容:第1组的观察者间可靠性产生的kappa值为0.21(95%置信区间(CI)0.052,0.366,P = 0.0046);对10例病例建立了共识诊断。对于第2组,在解释ICVAS系统之前,70个评分中有1个(占1.4%)与第1组共识诊断相符。第2组提供了12种不同的诊断,但是70项响应中的38项(54.3%)是“未知”。在解释了ICVAS系统后,在70个回复中有47个(67.1%; 95%CI 55.5、77.0)同意第1组的共识,提高了65.7%(95%CI 52.5、75.6,P <0.00005),而没有“不知道”的回复。在解释ICVAS系统之前和之后,第2组的平均报告时间分别为148分钟和48分钟。我们得出的结论是,发现ICVAS放射学分类系统是可靠的,并且适用于10个SDV表型。

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