A mathematical approach to radiographicimage diagnosis -cystic lesions-

口腔病变的准确诊断需要综合大量的临床症状、体征、既往病史、影像学和组织病理学等检查资料。医生需要多年的临床经验，才能从大量信息中进行选择，并只利用有用的信息。然而，如果积累的信息可以以更实用和更容易获得的形式进行分类，并可以快速参考有关病例的信息，那么在某种程度上，减少医生个体经验的差异，提高诊断的准确性。我们输入患者的年龄、性别、病变部位、疾病和图像数据作为基础数据，并根据这些数据计算计算机辅助医疗决策中正确诊断的概率。15，235名患者中的13，036名患者的数据 ...更多信息 对1987年至1992年8年间在大坂齿科大学口腔放射科检查的10种疾病类别（68个病变）进行分类并用作基本数据。炎症、牙源性囊肿、非牙源性囊肿、牙源性肿瘤、非牙源性肿瘤、恶性肿瘤、创伤、TMJ病症、无法分类的疾病等。病变部位分为7类（32个部位）。影像学表现分为6类18种类型。X线表现以颌骨透亮线影最多见，占64%，其中炎症性改变占86%。无变化，这是第二常见的放射学图像，根据这些数据，我们建立了骨内病变的后验概率矩阵，并对成釉细胞瘤的组织病理学类型进行了统计学分析（289例），计算后验概率，后验概率结果基本正确。但是，不寻常的放射学发现病例是不正确的。这些后验概率被认为是为了帮助医学决策的射线照相图像的解释。少

Accurate diagnosis of oral lesions can be made only by corn-prehensive evaluation of a large quantity of information including in clinical signs and symptoms, and the past history as well as findings on various examinations including radiographical and histopathological examinations. Clinical experience over many years is needed for a physician to become able to select from a large volume of information and utilize only that which is useful However, if the accumulated information can be classified in a more utilizable and accessible forms and can be quickly referred to concerning the case in question, it would, to some extent, diminish the difference in experience among individual doctors and improve the accuracy of the diagnosis.We input the age, sex, site of the lesion, disease, and image data of patients as basic data, and calculated the probability of the correct diagnosis in computer-aided medical decision making based on these data. Data of 13,036 of the 15,235 patients who were … More examined at the Department of Oral Radiology, Osaka Dental University during the 8 years between 1987 and 1992 was classified and used as basic data.Ten disease categories (68 lesions), i.e., inflammation, odontogenic cysts, non-odontogenic cysts, odontogenic tumors, non-odontogenic tumors, malignant tumors, trauma, TMJ disorders, unclassifiable diseases, and others were established. The sites of the lesions were classified into 7 categories (32 sites). Radiographic images were classified into 6 types (18 patterns). Radiographic images were most frequently radiolucencies of the jaws, which were observed in 64% of the patients, and inflammatlon accounted for 86%. No changes, which were the next most frequent radiographic images, were observed in the jaw bones in 14%.We derived a symptom-disease matrix of intra-osseous lesions from these data and calculated the posterior probability and the statical decision tried to radiographic findings from histopathological type of ameloblastoma (289 cases) from these data and calculated the posterior probability.The results of posterior probability were almost correct. But, the unusual radiographic finding case was not correct. These posterior probability are considered to assist interpretation of radiographic images for medical decision making. Less