Lymphatic microvessel density combined with CT used in the diagnosis of mediastinal and hilar lymph node metastasis of non-small cell lung cancer
- PMID: 22386563
- DOI: 10.1016/j.arcmed.2012.02.002
Lymphatic microvessel density combined with CT used in the diagnosis of mediastinal and hilar lymph node metastasis of non-small cell lung cancer
Abstract
Background and aims: Lymphatic microvessel density (LMVD) has been demonstrated to correlate with tumor metastasis. The purpose of this study is to determine whether the criteria combining LMVD with computed tomography (CT) could improve the diagnostic accuracy of lymph node (LN) metastasis in non-small cell lung cancer (NSCLC).
Methods: Ninety four patients with NSCLC who had chest CT scans preoperatively and LMVD tested by immunohistochemistry postoperatively were randomized into two groups: the training set (n = 66) and the test set (n = 28). Cut-off point of LMVD was selected to separate the LN metastasis-predictive positive and negative groups. On the basis of LMVD levels, chest CTs of the training set were re-analyzed and hypothetical criteria for LN metastasis diagnosis were established. Diagnostic characteristics for LN metastasis were tested by using the combined criteria in the test set as compared to those of CT alone.
Results: There was a significantly positive correlation between LMVD and LN metastasis (p <0.01). For sensitivity, specificity, positive predictive value (PPV) and negative predictive values (NPV), accuracy was 67, 81, 75, 81 and 79% for the combined criteria, respectively. Diagnostic efficacy of the combined criteria was significantly higher than that of CT only (p <0.05).
Conclusions: Diagnosis of LN metastasis using a combination of LMVD and CT is superior to the CT-only diagnosis. In future clinical trials, it is necessary to evaluate the efficacy of adjuvant therapy for the selection of patients according to the combined criteria.
Copyright © 2012 IMSS. Published by Elsevier Inc. All rights reserved.
Similar articles
-
Prediction of lymph node metastasis using the combined criteria of helical CT and mRNA expression profiling for non-small cell lung cancer.Lung Cancer. 2008 May;60(2):264-70. doi: 10.1016/j.lungcan.2007.09.026. Epub 2008 Feb 14. Lung Cancer. 2008. PMID: 18280003
-
[Diagnostic value of enhanced computed tomography plus vascular endothelial growth factor C expression in hilar and mediastinal lymph node metastasis of non-small cell lung cancer].Zhonghua Yi Xue Za Zhi. 2012 Oct 9;92(37):2624-7. Zhonghua Yi Xue Za Zhi. 2012. PMID: 23290064 Chinese.
-
[Risk factor analysis of mediastinal lymph node metastasis in non-small cell lung cancer patients and the strategy of mediastinoscopy prior to surgery].Zhonghua Zhong Liu Za Zhi. 2009 Jun;31(6):456-9. Zhonghua Zhong Liu Za Zhi. 2009. PMID: 19950559 Chinese.
-
Lymphatic microvessel density using D2-40 is associated with nodal metastasis in non-small cell lung cancer.Oncol Rep. 2006 Feb;15(2):437-42. Oncol Rep. 2006. PMID: 16391866
-
Preoperative intrathoracic lymph node staging in patients with non-small-cell lung cancer: accuracy of integrated positron emission tomography and computed tomography.Eur J Cardiothorac Surg. 2009 Sep;36(3):440-5. doi: 10.1016/j.ejcts.2009.04.003. Epub 2009 May 22. Eur J Cardiothorac Surg. 2009. PMID: 19464906 Review.
Cited by
-
Identification and validation of the model consisting of DDX49, EGFR, and T-stage as a possible risk factor for lymph node metastasis in patients with lung cancer.Thorac Cancer. 2023 Jun;14(16):1492-1499. doi: 10.1111/1759-7714.14892. Epub 2023 Apr 25. Thorac Cancer. 2023. PMID: 37096455 Free PMC article.
-
BDH1 promotes lung cancer cell proliferation and metastases by PARP1-mediated autophagy.J Cell Mol Med. 2023 Apr;27(7):939-949. doi: 10.1111/jcmm.17700. Epub 2023 Mar 15. J Cell Mol Med. 2023. PMID: 36919822 Free PMC article.
-
DDX49 is a novel biomarker and therapeutic target for lung cancer metastases.J Cell Mol Med. 2020 Jan;24(1):1141-1145. doi: 10.1111/jcmm.14734. Epub 2019 Nov 20. J Cell Mol Med. 2020. PMID: 31749282 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Research Materials