The Diagnostic Performance of Ultrasonography and Computed Tomography in Differentiating Superficial from Deep Lobe Parotid Tumors.

CLINICAL OTOLARYNGOLOGY(2019)

引用 15|浏览10
暂无评分
摘要
ObjectivesTo validate and compare ultrasound (US) versus computerized tomography (CT) criteria in the localisation of superficial/deep lobe tumours of the parotid gland. Design and settingThis was a retrospective study of diagnostic tests performed from January 2008 to June 2017. ParticipantsWe included adult patients who were referred for a neck ultrasonography examination due to parotid tumours, and who subsequently underwent parotid surgery. Main outcome measuresWe assessed the location of parotid tumours, comparing the minimum fascia-tumour distance (MFTD) criterion on an US with eight CT criteria. We analysed receiver operating characteristic (ROC) curves of the MFTD for malignant, benign, and all parotid tumours, and compared the accuracy, sensitivity, and specificity of the optimal MFTD with those of CT anatomical criteria. ResultsA total of 166 parotid tumours were included. The mean (SD) MFTD in superficial lobe tumours was significantly shorter than that of deep lobe tumours (1.2 [0.7] vs 2.8 [1.9] mm, effect size: 1.84; 95% CI, 1.27-2.41). The areas under the ROC curve were 0.63 for malignant tumours and 0.88 for benign tumours. The optimal MFTD cut point was 2.4mm for the 154 benign parotid tumours, and the accuracy, sensitivity and specificity were 90%, 80% and 91%, respectively. For the 136 benign parotid tumours that underwent CT examination, three criteria had an accuracy of over 90% (FNline, tMasseter and Conn's arc), but the sensitivities were all below 50%. ConclusionsMinimum fascia-tumour distance is more feasible for benign tumours than for malignant tumours for the localisation of parotid tumours. For benign parotid tumours, US is enough to guide operations.
更多
查看译文
关键词
computed tomography,diagnostic imaging,facial paralysis,parotid gland,parotid neoplasms,salivary gland neoplasms,ultrasonography,X-Ray
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要