口腔医学研究 ›› 2022, Vol. 38 ›› Issue (12): 1134-1138.DOI: 10.13701/j.cnki.kqyxyj.2022.12.007

• 涎腺疾病研究 • 上一篇    下一篇

MDCT联合CTA可视化技术对腮腺肿瘤诊断的预测分析

张文欣1, 帕克扎提·色依提1, 王铁梅1*, 刘澍1, 张磊2, 孙国文3   

  1. 1.南京大学医学院附属口腔医院,南京市口腔医院口腔颌面医学影像科 江苏 南京 210008;
    2.南京大学医学院附属口腔医院,南京市口腔医院口腔病理科 江苏 南京 210008;
    3.南京大学医学院附属口腔医院,南京市口腔医院口腔颌面外科 江苏 南京 210008
  • 收稿日期:2022-05-15 出版日期:2022-12-28 发布日期:2022-12-26
  • 通讯作者: *王铁梅,E-mail:tiemei106@263.net
  • 作者简介:张文欣(1998~ ),女,江苏南京人,硕士在读,主要从事颌面医学影像学工作。
  • 基金资助:
    江苏省自然科学基金面上项目(编号:BK20150089);南京市科技发展计划(编号:201503038)

Predictive Analysis of MDCT Combined with CTA Visualization in Diagnosis of Parotid Tumor

ZHANG Wenxin1, Pakezhati·SEYI TI1, WANG Tiemei1*, LIU Shu1, ZHANG Lei2, Sun Guowen3   

  1. 1. Department of Dentomaxillofacial Radiology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing 210008, China;
    2. Department of Oral Pathology, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing 210008, China;
    3. Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing 210008, China
  • Received:2022-05-15 Online:2022-12-28 Published:2022-12-26

摘要: 目的: 预测分析MDCT增强联合CTA可视化技术区分腮腺良恶性肿瘤的价值。方法: 回顾性分析病例资料完整的35例腮腺肿瘤的临床及影像学特征及指标,以病理结果作为诊断金标准,评价MDCT平扫及增强联合CTA可视化技术对腮腺肿瘤定性诊断的灵敏度与特异度,并绘制ROC曲线,分析评估效能。结果: 方差分析和多元Logistic回归分析结果显示,淋巴结肿大、复发史是肿瘤恶性程度的独立预测因素。ROC曲线分析显示复发史、淋巴结肿大、静脉期净强化CT值的AUC分别为0.76、0.70、0.95;灵敏度分别为0.57、0.62、0.95;特异度分别为0.94、0.78、0.89。结论: MDCT联合CTA可视化技术术前预测腮腺肿瘤良恶性具有一定优势,对临床治疗方案制定具有一定指导意义。

关键词: 腮腺肿瘤, MDCT, CTA可视化技术, 分析预测

Abstract: Objective: To predict and analyze the value of MDCT enhancement combined with CTA visualization in distinguishing benign and malignant tumors of parotid gland. Methods: The clinical and imaging features and indexes of 35 cases of parotid tumors with complete data were analyzed retrospectively. The pathological results were used as the golden standard for diagnosis. The sensitivity and specificity of MDCT plain scan and enhancement combined with CTA visualization in the qualitative diagnosis of parotid tumors were evaluated, and the ROC curve was drawn to analyze and evaluate the efficiency. Results: Lymph node enlargement and recurrence were independent predictors of tumor malignancy. ROC curve analysis showed that the AUC of recurrent history, lymph node enlargement, and net enhancement in venous phase were 0.76, 0.70, and 0.95, the sensitivity were 0.57, 0.62, and 0.95, and the specificity were 0.94, 0.78, and 0.89, respectively. Conclusion: MDCT combined with CTA visualization technique has certain advantages in predicting benign and malignant parotid tumors before operation, and has certain guiding significance for clinical treatment.

Key words: parotid gland tumor, multi-detector spiral computed tomography, CT angiography visualization technology, analysis and prediction