摘要
目的了解江苏泰州地区甲状腺癌构成比的动态变化情况及其影像诊断价值。方法收集2014年1月至2018年12月在泰州市人民医院手术或经穿刺确诊为甲状腺癌并登记为泰州地区常住人口的病例(所有病例均行CT和超声检查,其中部分患者加做MR检查);分析不同病理类型构成比变化及相关影响因素。结果近五年间甲状腺癌的发病率呈逐年上升趋势;超声对甲状腺微小病变的诊断优于CT;89.32%以上病例属于乳头状癌;甲状腺癌发病数女性多于男性,且发病最多的年龄范围男女性均为40~50岁,在此范围之前,甲状腺癌的年龄发病率随着年龄增长而升高,之后随年龄增长逐步下降。结论泰州地区近五年甲状腺癌发病人数呈逐年上升趋势,女性年龄发病率增速明显快于男性,超声是诊断甲状腺病变的最常规有效影像检查方法。
Objective To investigate the dynamic changes of constituent ratio of thyroid cancer and its imaging di⁃agnostic value in Taizhou.Methods We reviewed clinical data of patients with thyroid cancer,who were identi⁃fied as permanent residents of Taizhou and were treated in Taizhou People's Hospital from January,2014 to De⁃cember,2018(all cases were examined by CT and ultrasound,and some of them were examined by MR),and analyze the changes of constituent ratio of different pathological types and related factors.Results The incidence of thyroid cancer increased year by year in the past five years,and the main types of thyroid carcinoma were pap⁃illary carcinoma(more than 89.32%),follicular carcinoma,medullary carcinoma,undifferentiated carcinoma,etc.The diagnosis of thyroid minimal lesions by ultrasound was better than that of CT.The incidence of thyroid can⁃cer is more in women than in men,and the most common age range for men and women is 40-50 years old.Be⁃fore this range,the incidence of thyroid cancer increased with age,and then gradually decreased with age.Con⁃clusion The incidence of thyroid cancer in Taizhou has been increasing year by year in the past five years,and the age-specific incidence rate of female is significantly faster than that of male.Ultrasound is the most routine and effective imaging method for the diagnosis of thyroid lesions.
作者
季文祥
于欣
夏建国
陈晴玉
JI Wen-xiang;YU Xin;XIA Jian-guo;CHEN Qing-yu(Taizhou People's Hospital,Taizhou Jiangsu 225300;Graduate School of Dalian Medical University,Dalian Liaoning 116044,China)
出处
《泰州职业技术学院学报》
2020年第4期51-54,共4页
Journal of Taizhou Polytechnic College
基金
江苏省第五期“333工程”科研项目(BRA2017175,项目主持人:夏建国)。
关键词
甲状腺癌
构成比
影像诊断
thyroid carcinoma
constituent ratio
imaging diagnosis