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• Clinical Article •
Value of dynamic contrast-enhanced MRI in diagnosis of lung cancer and different types of benign lung nodules
XIE Li-bing  TIAN Xing-cang  MA Li  ZHU Li 

Co-first Author: TIAN Xing-cang DOI:10.12015/issn.1674-8034.2018.03.006.


[Abstract] Objective: To evaluate the value of dynamic contrast-enhanced MRI (DCE-MRI) in the differential diagnosis of lung cancer and different types of benign lung nodules.Materials and Methods: Twenty lung cancer (malignant group), 10 active infections (active infection group) and 13 benign nodules (benign group) with pathology or clinical follow-up proven were enrolled in the study and underwent routine MRI and DCE-MRI scan. The signal intensity-time (SI-T) curves with ROI were obtained at EWS post-processing workstation and the curves were defined as Ⅰ, Ⅱ, Ⅲ, Ⅳ, types. The hemodynamic parameters of the three groups were calculated and analyzed. The statistical differences of the SI-T curve types and the parameters among the three groups were compared. The threshole of diagnosis of lung cancer was determined by ROC curve analysis.Results: The distribution of the curve types of the three groups were significantly different (P=0.02). Curve types Ⅰ and Ⅱ were considered positive for malignancy. It was found that the Wash-in for the malignant group was significantly higher than that for the benign group and significantly lower than that for the active infection group (P=0.034, 0.012). The TTP for the malignant group was significantly lower than that for the benign group and significantly higher than that for the active infection group (P=0.018, 0.041). With 54.2 and 30.5 as the threshold Wash-in for distinguishing lung cancer from active infection and benign nodules, the sensitivity, specificity and accuracy was 80.05%, 70.57%, 74.42% respectively.Conclusions: The SI-T curves and the hemodynamic parameters of DCE-MRI may be a useful tool in differentiating lung cancer from active infection nodules,as well as benign nodules.
[Keywords] Lung neoplasms；Carcinoma；Diagnosis, differential；Magnetic resonance imaging

XIE Li-bing Ningxia Medical University, Yinchuan 750004, China

TIAN Xing-cang Department of Radiology, the General Hospital of Ningxia Medical University, Yinchuan 750004

MA Li Ningxia Medical University, Yinchuan 750004, China

ZHU Li* Department of Radiology, the General Hospital of Ningxia Medical University, Yinchuan 750004

*Correspondence to: Zhu L, E-mail: zhuli72@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  Natural Science Foundation of Ningxia No. NZ15160
Received  2017-09-24
Accepted  2017-12-08
DOI: 10.12015/issn.1674-8034.2018.03.006
Co-first Author: TIAN Xing-cang DOI:10.12015/issn.1674-8034.2018.03.006.

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