Dynamic Contrast-enhanced MRI in Identification and Diagnosis of Metastasis of Lung Cancer
10.3969/j.issn.1005-5185.2017.09.015
- VernacularTitle:动态增强磁共振成像在肺癌脊柱转移判别诊断中的应用
- Author:
Ning LANG
1
;
Minying SU
;
Enlong ZHANG
;
J.Yu HON
;
Huishu YUAN
Author Information
1. 北京大学第三医院放射科 北京100191
- Keywords:
Lung neoplasms;
Neoplasm metastasis;
Spinal neoplasms;
Magnetic resonance imaging;
Image enhancement;
Diagnosis,differential
- From:
Chinese Journal of Medical Imaging
2017;25(9):690-694
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To explore the application value of dynamic contrast enhanced MRI (DCE-MRI) in judging and diagnosing metastasis of lung cancer.Material and Methods Sixty-one metastatic spinal tumor patients received DCE-MRI and their images acquired after scanning were post-processed.Signal intensity-time curve,signal intensity amplification in rising period of the curve (Peak SE％),maximum ascending linear slope of the curve (Max Wash-in SE％) and descending slope of the curve (Wash-out SE％) and other semiquantitative parameters were acquired.Double chamber pharmacokinetics was adopted to analyze and obtain Ktrans,rate constant (Kep) and other quantitative parameters.CHAID method was taken to establish tree structure model to confirm optimal sorting parameter and identify optimal division.Results For the DCE-MRI scanning parameters for 61 metastatic spinal tumor patients,differences of Wash-out SE％ and Kep between lung cancer and other tumor spinal metastasis were statistically significant (P＜0.01),while differences of Peak SE％,Max Wash-in SE％ and Ktrans between the two were not statistically significant (P＞0.05).When Wash-out SE％＞-660.6％ and Max Wash-in SE％＞98.0％,original focus of about 94.7％ was possible to come from lung.When taking tree structure model set up in the study for identification,10-fold cross-validation indicated (29.5±5.8)％ error rate.Conclusion Taking DCE-MRI semi-quantitative and quantitative analysis parameters for identification and diagnosis of metastasis of lung cancer is feasible.It can provide reference evidence for source identification of spinal sarcoma and clinical treatment.
