RADIOGRAPHIC DIFFERENTIAL DIAGNOSIS IN DENTAL REGION USING EXPERT SYSTEM

放射科医生根据X线片的定性特征进行X线鉴别诊断。对于这类诊断，计算机辅助诊断(CAD)系统被视为一种工程方法。颌面部含牙囊肿、牙源性角化囊肿和成釉细胞瘤是常见的牙源性角化细胞瘤，但其康复情况不同。因此，尽管它们的症状彼此相似，但仍有必要做出准确的鉴别诊断。作为一项初步研究，我们使用Logistic回归和神经网络对统计方法进行了调查。在这些研究下，Kodera在1995年7月举行的第12届日本医学物理协会年会上发表了《口腔放射学中神经网络的鉴别诊断和统计分析》。此外，在1995年9月举行的第36届日本口腔颌面放射学会年会上，Ohtani以“用统计学方法和神经网络对含牙囊肿、牙源性角化囊肿和造釉细胞瘤进行放射学鉴别诊断”的名义发表了演讲。在此基础上，我们于1996年建立了系统，并进行了数据积累。Kodera在1996年9月举行的第37届日本口腔颌面放射学会年会上发表了《使用专家系统进行牙科区域的放射鉴别诊断》。最后，我们在广岛大学对开发的系统进行了临床评估，即牙科医生对这些方法的有效性进行了评估和证实。将本文提出的方法应用于牙科图像的其他领域。

Radiologists performed radiographic differential diagnosis from qualitative features in radiogram. For this kind of diagnosis, computer-aided diagnostic (CAD) system is watched as one of an engineering approach. Dentigerous cyst, odontogenic keratocyst and ameloblastoma in maxillofacial region occur frequently, but their recuperations are different. Then it is necessary to make an exact differential diagnosis, although their symptoms are similar to one another. As a pilot study, we investigated statistical methods using a logistic regression and neural network. Under these studies, Kodera presented as "Differential diagnosis by neural network and statistical analysis in oral radiology" in the 12th Annual Meeting Japanese Association of Medical Physics in July 1995. And, Ohtani presented as "Radiographic differential diagnosis among dentigerous cyst, odontogenic keratocyst and ameloblatoma using statistical methods and neural network" in the 36th Japanese Society for Oral and Maxillofacial Radiology Annual meeting in September 1995. Based on these results, in 1996, we constructed the system and accumulated data. Kodera presented as "Radiographic differential diagnosis in dental region using expert system" in the 37th Japanese Society for Oral and Maxillofacial Radiology Annual meeting in September 1996. Finally, we evaluated clinically the developed system in Hiroshima University, namely dentists evaluated and confirmed the effectiveness of these methods. The method proposed in this study was applied to the other area in dental images.