IMAGING SCIENCE AND PHOTOCHEMISTRY ›› 2021, Vol. 39 ›› Issue (2): 224-229.DOI: 10.7517/issn.1674-0475.200814

• Review and Articles • Previous Articles     Next Articles

The Diagnostic Value of Dual-source CT Dual-energy Parameters Combined with Serum miR-126 and miR-204 Detection in Lung Cancer and Its Correlation with Clinicopathological Characteristics

ZHENG Wei1, LI Ying2, CHENG Gang1   

  1. 1. Department of Radiology, Beijing Geriatric Hospita, Beijing 100095, P. R. China;
    2. Department of Laboratory Medicine, Changping District Hospital, Beijing 102200, P. R. China
  • Received:2020-08-28 Online:2021-03-15 Published:2021-03-12

Abstract: A total of 86 patients with lung cancer were retrospectively selected as the lung cancer group,and 86 patients with benign pulmonary nodules as the control group during the same period. Dual-source CT dual energy, serum miR-126, miR-204 levels were detected in all patients. It was found that the normalized iodine concentration (NIC) in the venous phase, NIC in the arterial phase, serum miR-204, miR-126 levels were abnormally expressed in the lung cancer group,and there was a certain correlation with the pathological type, clinical stage, and lymph node metastasis of the lung cancer group. The combination of the three had certain diagnostic value for lung cancer. At the same time, Kaplan-Meier survival analysis showed that the survival rate of patients with high levels of NIC in the venous phase and arterial phase in the lung cancer group was lower than that of patients with low levels. The survival rates of patients with high levels of serum miR-126 and miR-204 were higher than those with low levels (P<0.05). It can be seen that the early combined diagnosis of dual-source CT dual-energy, serum miR-126, and miR-204 can provide evidence-based guidance for clinical diagnosis and treatment and prognosis evaluation.

Key words: dual source CT dual energy, micro-ribonucleic acid-126, micro-ribonucleic acid-204, lung cancer, clinicopathological characteristics, receiver operating characteristic curve