Abstract：【Objective】To observe the accuracy of MRI in the diagnosis of cervical lymph node tuberculosis, and to analyze the factors affecting the accuracy of diagnosis. 【Methods】From February 2017 to may 2018, the clinical data of 200 patients with cervical lymph node tuberculosis who underwent CT and MRI neck examination were selected to compare the accuracy, specificity and sensitivity of the two methods, and the factors influencing the accuracy of MRI examination results were analyzed.【Results】MRI scan showed that the space between the lymph node and the surrounding fat caused by cheese like necrosis of lymph nodes was clear and recognizable, and the pathological changes of lymph nodes could be clearly displayed; CT showed low and equihybrid density images, with clear boundary. When the tuberculous granulation tissue and lymph node were necrotic, MRI and CT images were obvious. The accuracy of MRI in the diagnosis of cervical lymph node tuberculosis was 90.00% (180/200), which was significantly higher than that of CT in 75.00% (150/200). The difference was statistically significant (χ2=15.585, P<0.001). The positive predictive value of MRI in patients with cervical lymph node tuberculosis was higher than that of CT, the difference was statistically significant (P<0.01), but the difference was not statistically significant (P>0.05). The accuracy of MRI diagnosis was higher in patients with multiple nodal tuberculosis and diameter ≥2 cm (P<0.01). Multivariate logistic regression analysis showed that tuberculous diameter was an independent risk factor (OR=5.238, P<0.05).【Conclusion】 The accuracy of MRI in the diagnosis of cervical lymph node tuberculosis is higher than that of CT, and the accuracy of diagnosis is affected by the diameter of the nodule.
陈禄, 唐晨虎, 薛健, 高金辉. MRI对颈部淋巴结结核诊断准确性及其影响因素分析[J]. 医学临床研究, 2020, 37(6): 886-888.
CHEN Lu, TANG Chen-hu, XUE Jian, et al. Analysis of the Accuracy and Influencing Factors of MRI in the Diagnosis of Cervical Lymph Node Tuberculosis. JOURNAL OF CLINICAL RESEARCH, 2020, 37(6): 886-888.
2020, Vol. 37 
