分子影像学杂志2026，Vol.49Issue(2)：169-176,8.DOI:10.12122/j.issn.1674-4500.2026.02.05
腮腺原发良恶性肿瘤的鉴别:基于双层探测器能谱CT定量参数联合形态学特征
Differentiation of primary benign and malignant tumors of the parotid gland:based on quantitative parameters of dual-layer detector spectral CT combined with morphological features
摘要
Abstract
Objective To investigate the diagnostic value of quantitative parameters of dual-layer detector spectral CT combined with morphological features in differentiating primary benign and malignant tumors of the parotid gland.Methods A retrospective study was conducted in 82 cases with parotid gland primary tumors confirmed by pathology from June 2021 to June 2025 at Nanxishan Hospital of Guangxi Zhuang Autonomous Region.All patients underwent dual-layer detector spectral CT contrast-enhanced examination within 2 weeks before the operation.The cases were classified into benign group(n=64)and malignant group(n=18)according to pathology.The clinical data of the patients were recorded.The morphological features(including tumor amount,location,maximum diameter,margin,cystic change,mucinous change,and calcification)and quantitative parameters of spectral CT(including iodine concentration,normalized iodine concentration,effective atomic number,virtual non-contrast CT value,spectral curve slope,and monoenergetic CT values at 40,70,100,140 keV level during arterial and venous phases)of benign and malignant tumors were recorded.Differences between the two groups were compared.Binary multivariate logistic regression analysis was used to screen out independent predictors.The diagnostic efficacy of each independent predictor and their combined diagnostic efficacy were evaluated with ROC curve.Results In terms of morphological features,significant differences were found in maximum diameter,margin,and location between benign group and malignant group(P=0.041,0.004,0.043),and margin was an independent predictor(P<0.05);In terms of quantitative parameters of spectral CT,significant differences were found in CT values at arterial phase 70,100,140 keV,and iodine concentration during venous phase(ICv)between the two groups(P=0.030,0.003,0.004,0.029),and ICv was an independent predictor(P<0.05).ROC curve analysis showed that the model(AUC=0.822)constructed by combining tumor margin and ICv was superior to the tumor margin model(AUC=0.685)and the ICv model(AUC=0.741).Conclusion Compared with quantitative parameters of spectral CT or morphological features,the combination of them has better diagnostic efficacy in differentiating primary benign and malignant tumors of the parotid gland.关键词
腮腺良性肿瘤/腮腺恶性肿瘤/能谱CT/定量参数/形态学特征Key words
benign tumor of parotid gland/malignant tumor of parotid gland/spectral CT/quantitative parameters/morphological features引用本文复制引用
刘福珍,眭玉祥,唐玲,罗婉莹,蒋雯慧,周志强,周颖珠,李鑫,覃小燕..腮腺原发良恶性肿瘤的鉴别:基于双层探测器能谱CT定量参数联合形态学特征[J].分子影像学杂志,2026,49(2):169-176,8.基金项目
广西壮族自治区卫生健康委员会自筹经费科研课题(Z20201422) （Z20201422）
