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红外热像数学均值对乳腺疾病诊断价值的探讨
投稿时间:2018-12-28  修订日期:2019-01-07  点此下载全文
引用本文:周娅妮,周晓玲,税典奎,陈峭,覃凤传,陈淋,张丹璇.红外热像数学均值对乳腺疾病诊断价值的探讨[J].红外,2019,40(2):30~35
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作者单位E-mail
周娅妮 柳州市中医医院 455676332@qq.com 
周晓玲 柳州市中医医院  
税典奎 柳州市中医医院  
陈峭 柳州市中医医院  
覃凤传 柳州市中医医院  
陈淋 柳州市中医医院  
张丹璇 柳州市中医医院  
基金项目:柳州市应用技术研究与开发计划项目(2016G020214);广西重点研发计划(桂科AB16380317);柳州市科技创新能力与条件建设项目(201503001)
中文摘要:观测乳腺区域的红外热像分布及数学均值,分析其对乳腺疾病的诊断价值。将2016年6月至2017年1月在柳州市中医医院治未病中心门诊中符合纳入标准的125例人员作为研究对象,采用数字式医用红外热像仪观测了双乳腺投影区域的红外热成像数学均值。同时对所有研究对象进行了乳腺超声及乳腺钼靶X线检查。记录所有研究对象的红外热像数学均值以及在不同检查项目下的结果与乳腺红外热像数学均值的分布规律,对结果进行相关性及差异性统计分析。结果表明,乳腺红外热像数学均值与乳腺的病变程度正相关;将乳腺超声与乳腺钼靶X线检查结果对应的红外热像数学差值之间进行比较,其差异不具有统计学意义(P>0.05)。因此,乳腺区域的红外热像数学均值与不同乳腺疾病存在相关性,其中乳腺癌的红外热像数学均值最高,正常乳腺红外热像数学均值最低。红外热像数学均值对乳腺疾病的诊断在一定程度上比乳腺超声更敏感。
中文关键词:乳腺疾病  红外热成像  数学均值
 
Discussion on the Diagnostic Value of Infrared Thermal Imaging Mathematical Mean to Breast Diseases
Abstract:The infrared thermal image distribution and mathematical mean of human′s breast region were observed. Their value to the diagnosis of breast diseases is analyzed. 125 patients who met the conclusion criteria in the outpatient department of the treating potential disease center of Liuzhou Traditional Chinese Medicine Hospital from June 2016 to January 2017 were selected as research objects. The mathematical mean of infrared thermal imaging in the projection region of double mammary gland was observed by a digital medical infrared thermal imager. At the same time, breast ultrasound and mammography were performed on all objects. The mathematical mean of infrared thermal imaging of each object, their distribution rule and the results under different examination items were recorded. The correlation and difference of the results were analyzed statistically. The results showed that there was a positive correlation between the mathematical mean of infrared thermal imaging and the degree of breast lesions. The results of breast ultrasound and mammography were compared with the corresponding mathematical difference of thermal imaging. Their difference was not significant statistically (P>0.05). Therefore, there was a correlation between the mathematical mean of infrared thermal imaging of breast region and different breast diseases. Among them, the mathematical mean of infrared thermal imaging of breast cancer was highest and that of normal breast was lowest. To some extent, the mathematical mean of infrared thermal imaging was more sensitive to the breast diseases than the breast ultrasound in diagnosis.
keywords:breast disease  infrared thermal imaging  mathematical mean
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