摘要
采用红外热像仪提取体表的温度信息,通过一种新的热层析方法求得病灶部位的热源强度值随层析深度变化的q-r特性曲线,并结合大量临床病例统计,规范出一套通过q-r特性曲线来判断疾病性质的诊断标准(目前只针对人体乳腺).根据q-r曲线分布区域及其走向,把疾病诊断范围分为4类:恶性肿瘤、良性肿瘤、炎症、增生或正常.临床实验中,挑选4类疾病中的典型性病例进行q-r曲线分析.实验结果表明,q-r曲线诊断结果与组织活检结果具有高度的一致性,并把实验诊断结果与钼靶、B超结果进行对比分析.作为一种新的医学诊断方法,其诊断过程快捷、无辐射,诊断结果准确,是一种绿色诊断技术.
There exists close connections between the physiological heat and the pathological changes in biological body. When there exists diseases or functional changes in certain part of the human body,the blood flow and cell metabolism speed will change correspondingly,which will lead to the temperature variation in this area. Based on the temperature distribution of body surface acquired with thermal infrared imager,a novel tumor diagnosis method according to the q-r characteristic curve is presented in this paper. The q-r characteristic curve expresses the relation of heat intensity changing with depth on the disease focus. Based on a large number of clinical cases and statistics,a diagnostic criteria judging diseases by q-r characteristic curve is proposed( only for female breast at present). Based on the distribution area and trend of q-r curve,the diagnosis range of diseases is divided into 4 kinds: malignancy,benign tumor,inflammation and hyperplasia or normality. To prove the validity of this method,several clinical practices are carried and the diagnosis results are compared with those of molybdenum target( MT) X ray and B-ultrasonic images. It is a radiationfree green method with rapid diagnostic procedure and accurate diagnosis result.
出处
《湖北大学学报(自然科学版)》
CAS
2016年第2期135-141,共7页
Journal of Hubei University:Natural Science
基金
国家重大科学仪器设备开发专项(2012YQ160203)
湖北省教育厅重点研究项目(D20142801)资助
关键词
肿瘤诊断
热层析
特征曲线
临床应用
tumor diagnosis
thermal tomography
characteristic curve
clinical practice