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首页> 外文期刊>American Journal of Orthodontics and Dentofacial Orthopedics >Efficacy of identifying maxillofacial lesions in cone-beam computed tomographs by orthodontists and orthodontic residents with third-party software
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Efficacy of identifying maxillofacial lesions in cone-beam computed tomographs by orthodontists and orthodontic residents with third-party software

机译：正畸医生和正畸居民使用第三方软件在锥形束计算机断层扫描仪中识别颌面部病变的功效

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Introduction: The purpose of this study was to determine the ability of orthodontists and orthodontic residents to identify nonorthodontic incidental findings and false positives in cone-beam computed tomography scans. Methods: Two groups of 10 cone-beam computed tomography scans containing equal numbers of scans with no, 1, or several abnormal nonorthodontic lesions were selected from a database. Eight orthodontists and 8 orthodontic residents screened the 2 groups of scans before and after a basic cone-beam computed tomography training course. The paired t test was used for statistical analyses. Results: In the initial screening, the orthodontists and residents correctly identified 41.1% of the lesions. This lesion-detection rate improved significantly to a mean of 56.7% after the training course (P <0.0005). In parallel with these findings, the mean percentage of correctly identified extragnathic lesions improved significantly, from 22% to 48% (P <0.0005), and correctly identified temporomandibular joint lesions improved from 20% to 55% (P = 0.01) after the training. In contrast, the rate of correctly identified dentomaxillofacial lesions remained largely unchanged before and after the training. Both groups of evaluators had approximately 5 false positives per 10 scans before training and demonstrated significant decreases in false positives after training. Conclusions: Relative to known error rates in medical radiology, both groups of evaluators had high error rates for missed lesions and false positives before and after training. Given these findings and since the most frequent cause of medical radiology malpractice litigation is due to missed lesions, it is recommended that an appropriately trained radiologist should be involved in reading and interpreting cone-beam computed tomography scans.
机译：简介：这项研究的目的是确定正畸医生和正畸居民在锥形束计算机断层扫描中识别非正畸的偶然发现和假阳性的能力。方法：从数据库中选择两组，每组10个锥束计算机断层扫描，其中包含相同数量的扫描，无，无1或几个异常的非正畸病变。在基本的锥形束计算机断层扫描培训课程前后，八名正畸医生和八名正畸居民筛选了两组扫描。配对t检验用于统计学分析。结果：在初步筛查中，正畸医生和住院医师正确地识别出41.1％的病变。培训课程结束后，病灶检出率显着提高至平均56.7％（P <0.0005）。与这些发现并行的是，训练后正确识别的颌外病变的平均百分比从22％显着提高到48％（P <0.0005），正确识别的颞下颌关节病变的平均百分比从20％提高到55％（P = 0.01） 。相反，在训练前后，正确识别出的颌面颌部病变的发生率基本保持不变。两组评估者在训练前每10次扫描大约有5个假阳性，并且证明训练后假阳性显着减少。结论：相对于医学放射学中已知的错误率，两组评估员在培训前后对缺失的病变和假阳性的错误率较高。鉴于这些发现，并且由于医学放射线不当行为诉讼的最常见原因是由于遗漏了病变，因此建议应由受过适当训练的放射线医师来阅读和解释锥束计算机断层扫描。

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