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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.

[1]
Chen W, Zheng R, Baade PD, et al. Cancer statistics in China,2015. CA Cancer J Clin.2016, 66(2): 115-132.
[2]
Yin SQ, Liu YQ, Zhang GZ, et al.Value of dynamic contrastenhanced MRI in differentiation of bening and malignant breast lesions. Chin J General Practitioners, 2014, 12(9): 1449-1453.尹森琴，刘永强，张国正，等. MRI乳腺动态增强扫描在乳腺良恶性病变中的诊断价值研究．中华全科医学杂志, 2014, 12(9): 1449-1453.
[3]
Li P, Huang Y, Li Y, et al. Application evaluation of multi-parametric MRI in the diagnosis and differential diagnosis of early prostate cancer and prostatitis. Zhonghua Yi Xue Za Zhi, 2016, 96(37): 2973-2977.李鹏，黄英，李艳，等．多参数磁共振成像诊断和鉴别诊断外周带早期前列腺癌和前列腺炎．中华医学杂志, 2016, 96(37): 2973-2977.
[4]
Schaefer JF, Vollmar J, Schick F, et al. Salitary pulmonary nodules: dynamic contrast-enhanced MR imaging-perfusion differences in malignant and benign lesions. Radiology, 2004, 232(2): 544-553.
[5]
Khalifa F, Soliman A, El-Baz A, et al. Models and methods for analyzing DCE-MRI:a review. Med Phys, 2014, 41(12): 124301.
[6]
Ohno Y, Koyama H, Takenaka D, et al. Dynamic MRI, dynamic multidetector-row computed tomography (MDCT), and coregistered 2-[fluorine-18]-fluoro-2-deoxy-d-glucose-positron emission tomography (FDG-PEF)/CT: Comparative study of capability for management of pulmonary nodules. J Magn Reson Imaging, 2008, 27(6): 1284-1295.
[7]
Coolen J, Vansteenkiste J, De Keyzer F, et al. Characterisation of solitary pulmonary lesions combining visual perfusion and quantitative diffusion MR imaging. Eur Radiol, 2014, 24(2): 531-541.
[8]
Alper F, Kurt AT, Aydin Y, et al. The role of dynamic magnetic resonance imaging in the evaluation of pulmonary nodules and masses. Med Princ Pract, 2013, 22(1): 80-86.
[9]
Zou Y, Zhang M, Wang Q, et al. Quantitative investigation of solitary pulmonary nodules: dynamic contrast-enhanced MRI and histopathologic analysis. Am J Roentgenol, 2008, 191(1): 252-259.
[10]
Mamata H, Tokuda J, Gill RR, et al. Clinical application of pharmacokinetic analysis as a biomarker of solitary pulmonary nodules: dynamic contrast-enhanced MR imaging. Magn Reson Med, 2012, 68(5): 1614-1622.
[11]
Pauls S, Breining T, Muche R, et al. The role of dynamic contrastenhanced MRI in differentiating lung tumor subtypes. Clin Imaging, 2011, 35(4): 259-265.
[12]
Ohno Y, Nishio M, Koyama H, et al. Solitary pulmonary nodules: comparison of dynamic first-pass contrast-enhanced perfusion area-detector CT, dynamic first-pass contrast-enhanced MR imaging, and FDG PET/CT. Radiology, 2015, 274(2): 563-575.
[13]
Fujimoto K, Abe T, Muller NL, et al. Small peripheral pulmonary carcinomas evaluated with dynamic MR imaging: correlation with tumor vascularity and prognosis. Radiology, 2003, 227(3): 786-793.
[14]
Barrett T, Brechbiel M, Bernardo M, et al. MRI of tumor angiogenesis. J Magn Reson Imaging, 2007, 26(2): 235-249.

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