Hildebolt C F, Vannier M W, Shrout M K, Pilgram T K
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110.
Am J Phys Anthropol. 1991 Mar;84(3):351-61. doi: 10.1002/ajpa.1330840310.
Many physical anthropological studies require that an observer or device discriminate between states that can be easily confused. Receiver operating characteristic (ROC) analysis currently offers the best method for determining the accuracy of such choices, particularly for small sample sizes. Although ROC analysis is widely accepted in psychophysical and biomedical testing, its use in anthropological studies has not been reported. ROC analysis is used here to determine the usefulness of enhanced dental radiographs to assess vertical alveolar bone defects for quantitative studies of human variation with regard to periodontal disease. The presence or absence of vertical-bony defects (truth) for 75 human skulls was established by the consensus of two trained observers. Dental bitewing-radiographs were taken of the alveolar processes, the radiographs digitized, and the brightness and contrast of the digital images enhanced. The two observers who established truth then rated 1) plain bitewing radiographs, 2) unenhanced digital images of bitewings, and 3) enhanced digital images of bitewings for vertical bony defects. The rating scale varied from 1 (vertical defect definitely or almost definitely present) to 5 (definitely or almost definitely absent). ROC analysis was used to compared the diagnostic value of the 3 imaging modalities. All modalities had nearly identical diagnostic performance, measured as Az values (areas beneath ROC curves) that were less than 0.80, which indicates only moderate usefulness. It is concluded that enhancement does not increase success in vertical-bony-defect diagnosis from digital dental radiographs processed in this manner. Moreover, it is suggested that conventional bitewing radiographs may be unsuitable for accurate quantification of such defects.
许多体质人类学研究要求观察者或设备区分那些容易混淆的状态。受试者工作特征(ROC)分析目前提供了确定此类选择准确性的最佳方法,尤其是对于小样本量而言。尽管ROC分析在心理物理学和生物医学测试中被广泛接受,但其在人类学研究中的应用尚未见报道。本文使用ROC分析来确定增强型牙科X光片在评估垂直牙槽骨缺损方面的有效性,以便对人类牙周病变异进行定量研究。由两名训练有素的观察者达成共识,确定了75个人类头骨垂直骨缺损的有无(真实情况)。拍摄了牙槽突的牙科咬合翼片,将这些X光片数字化,并增强了数字图像的亮度和对比度。然后,确定真实情况的两名观察者对以下三种情况进行评分:1)普通咬合翼片X光片,2)未增强的咬合翼片数字图像,3)增强的咬合翼片数字图像,以判断垂直骨缺损情况。评分范围从1(肯定或几乎肯定存在垂直缺损)到5(肯定或几乎肯定不存在)。使用ROC分析比较了这三种成像方式的诊断价值。所有成像方式的诊断性能几乎相同,以Az值(ROC曲线下面积)衡量,均小于0.80,这表明其有效性仅为中等。研究得出结论,以这种方式处理的数字牙科X光片,增强处理并不能提高垂直骨缺损诊断的成功率。此外,有人认为传统的咬合翼片X光片可能不适合对此类缺损进行准确量化。