Abstract：Objective To explore the MRI imaging features of Pheochromocytoma, analyze the related factors of misdiagnosed as
coronary heart disease, and try to minimize the clinical misdiagnosis rate. Methods A total of 205 patients with pheochromocytoma
(PHEO) who were admitted to our hospital from January 2015 to December 2020 were selected as the research subjects, of which 80
were misdiagnosed as coronary heart disease. The clinical data of misdiagnosed and non-misdiagnosed patients were analyzed, and
the risk factors of misdiagnosed coronary heart disease were analyzed by multivariate Logistic regression. The risk scoring model
was established and the model was evaluated. Results There was a statistically significant difference between the two groups in
terms of serum calcium, neutrophils, lymphocytes, basophils, hematocrit, T wave changes, and left ventricular high voltage (P<0.05).
The results of multivariate Logistic regression analysis showed that decreased serum calcium, increased neutrophils, increased
lymphocytes, increased basophils, decreased hematocrit, T wave changes, and left ventricular high voltage were all independent risk
factors for PHEO misdiagnosed as coronary heart disease (P<0.05). The ROC curve results showed that serum calcium, neutrophils,
lymphocytes, basophils, hematocrit, T wave changes and left ventricular high voltage had high sensitivity (0.959, 0.950, 0.961,
0.967, 0.960, 0.901, 0.961, respectively) and specificity (0.699, 0.645, 0.394, 0.695, 0.647, 0.389, 0.522, respectively) in predicting
the misdiagnosis of PHEO as coronary heart disease. PHEO misdiagnosed as coronary heart disease was divided into three groups:
low (≤60 scores), intermediate (>60 scores and ≤90 scores), and high risk (>90 scores). The results of ROC and calibration
curve showed that the model had good discrimination and accuracy. Conclusion The MRI imaging features of patients with
pheochromocytoma and coronary heart disease are similar to those of patients with coronary heart disease alone, and the probability
of misdiagnosis is relatively high. For patients with PHEO, it is necessary to reasonably analyze various factors of the patient in
clinical diagnosis, such as serum calcium, neutrophils, lymphocytes, basophils, hematocrit, T wave changes, left ventricular high
voltage and other indicators are abnormal, to improve the diagnostic accuracy of pheochromocytoma.
单华静a，黄能为b，李火平a. 嗜络细胞瘤的MRI影像学特征及其误诊为冠心病的相关因素分析[J]. 中国医疗设备, 2022, 37(12): 95-99.
SHAN Huajinga, HUANG Nengweib, LI Huopinga. MRI Imaging Features of Pheochromocytoma and Analysis of
Related Factors Misdiagnosed as Coronary Heart Disease. China Medical Devices, 2022, 37(12): 95-99.
