医学影像学杂志2024,Vol.34Issue(9) :24-27.

基于CT及临床指标构建的模型鉴别腮腺基底细胞腺瘤和多形性腺瘤的价值

Analysis of the value of the model based on CT and clinical indicators in differentiating parotid basal cell adenoma from pleomorphic adenoma

路丽 柳成良 左超 于淑靖
医学影像学杂志2024,Vol.34Issue(9) :24-27.

基于CT及临床指标构建的模型鉴别腮腺基底细胞腺瘤和多形性腺瘤的价值

Analysis of the value of the model based on CT and clinical indicators in differentiating parotid basal cell adenoma from pleomorphic adenoma

路丽 1柳成良 2左超 3于淑靖1
扫码查看

作者信息

  • 1. 河北省沧州市中心医院 CT诊断科 河北 沧州 061000
  • 2. 河北省沧州市中心医院 超声二科 河北 沧州 061000
  • 3. 河北省沧州市中心医院 核医学科 河北 沧州 061000
  • 折叠

摘要

目的 探讨双期增强CT及临床指标构建的模型对腮腺基底细胞腺瘤(BCA)和多形性腺瘤(PA)的鉴别价值.方法 选取我院经手术病理证实的BCA和PA患者 95 例,其中BCA患者 18 例为BCA组,PA患者 77 例为PA组,比较两组CT 平扫及双期增强表现、临床资料,基于双期增强CT及临床资料构建BCA和PA的鉴别模型.结果 BCA组平扫CT值与PA组比较,差异无统计学意义(P>0.05),BCA组动脉期强化幅度值、静脉期强化幅度值与PA组比较,明显较高,差异有统计学意义(P<0.05).BCA组病程、肿瘤最大直径、性别、部位、位置、密度、形态、边界、同侧肿瘤淋巴结、吸烟史、饮酒史比较,差异均无统计学意义(P>0.05),BCA组年龄≥50 岁率、触诊较软率与PA组比较明显较高,差异有统计学意义(P<0.05).Hosmer-Lemeshow拟合度检验显示模型拟合优度较好(χ2=0.379,P=1.000).ROC分析显示双期增强CT及临床指标联合构建的模型,鉴别诊断腮腺BCA和PA的AUC为 0.966,约登指数为 0.931,敏感度、特异度分别为 94.4%、98.7%(95%CI 0.902~1.000),准确性为 97.89%.结论 基于双期增强CT及临床资料构建的BCA和PA鉴别模型效果较好,能够为BCA和PA鉴别提供辅助参考.

Abstract

Objective To investigate the value of dual-phase enhanced CT and clinical index model in differentiating parotid basal cell adenoma(BCA)and pleomorphic adenoma(PA).Methods 95 patients with BCA and PA confirmed by surgery and pathology were selected,of whom 18 patients with BCA were included in the BCA group and 77 patients with PA were included in the PA group.CT plain scan and dual-phase enhanced findings and clinical data of the two groups were compared.The differen-tial model of BCA and PA was established based on two-phase enhanced CT and clinical data.Results There was no statistical significance in plain scan CT value of BCA group compared with PA group(P>0.05),but the enhancement amplitude of arterial phase and venous phase in BCA group were significantly higher than those in PA group(P<0.05).There was no statistical signifi-cance in the course of disease,maximum tumor diameter,gender,location,location,density,shape,boundary,ipsilateral tu-mor lymph nodes,smoking history,and drinking history in BCA group(P>0.05).The rate of age≥50 and soft palpation in BCA group were significantly higher than those in PA group(P<0.05).The Hosmer-Lemeshow fit test showed that the model had a good fit(χ2=0.379,P=1.000).ROC analysis showed that the AUC for the differential diagnosis of BCA and PA in a models con-structed by combining biphasic enhanced CT and clinical indicators was 0.966,the Yoden index was 0.931,the sensitivity and specificity were 94.4%and 98.7%,the 95%CI was(0.902~1.000),and the accuracy was 97.89%.Conclusion The identifica-tion model of BCA and PA based on dual-phase enhanced CT and clinical data is effective,whcih can provide auxiliary reference for the identification of BCA and PA.

关键词

腮腺基底细胞腺瘤/多形性腺瘤/体层摄影术,X线计算机/诊断

Key words

Basal cell adenoma/Pleomorphic adenoma/Tomography,X-ray computed/Diagnosis

引用本文复制引用

基金项目

河北省医学科学研究课题计划项目(20220378)

出版年

2024
医学影像学杂志
山东医学影像学研究会,山东医学影像学研究所

医学影像学杂志

CSTPCD
影响因子:1.157
ISSN:1006-9011
段落导航相关论文