Predictive Factors for Lymph Node Metastasis in Clinical Stage I Part-Solid Lung Adenocarcinoma

So Young Lee, Jae Hyun Jeon, Woohyun Jung, Mincheol Chae, Wan Jin Hwang, Yoohwa Hwang, Sukki Cho, Jin Haeng Chung, Kwhanmien Kim, Sanghoon Jheon

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Accurate clinical staging of tumors with a small solid portion is essential for developing an appropriate treatment plan. This study evaluated predictive factors for lymph node (LN) metastasis in patients with clinical stage I part-solid lung adenocarcinoma. Methods: Medical records of patients with clinical stage I part-solid adenocarcinoma who underwent anatomic pulmonary resection with systematic node evaluation between January 2009 and June 2018 were retrospectively reviewed. To identify predictive factors for LN metastasis, univariate and multivariable logistic regression analyses were performed. Results: Among the 593 patients in this study, the overall prevalence of LN metastasis was 3.7% (n = 22), which included 3.0% (n = 18) of patients with N1 LN metastasis and 1.5% (n = 9) of patients with N2 LN metastasis. Combined N1 and N2 nodal involvement was observed in 5 patients. Nodal metastasis was not observed in tumors with a solid portion sized 1.1 cm or smaller. The nodal metastasis rates in cT1b, cT1c, and cT2a tumors were 5.5% (13 of 237), 7.1% (6 of 84), and 13.6% (3 of 22), respectively. According to the multivariable analysis, predictive factors included the size of the solid portion (P =. 015) and the high maximum standardized uptake value (SUVmax) of the primary tumor (P =. 044). Conclusions: Large solid portion and high SUVmax of the primary tumor were predictive factors of LN metastasis in patients with clinical stage I part-solid lung adenocarcinoma. Systematic LN evaluation should be performed, especially in those who have a large solid portion and high SUVmax of the primary tumor.

Original languageEnglish
Pages (from-to)456-462
Number of pages7
JournalAnnals of Thoracic Surgery
Volume111
Issue number2
DOIs
StatePublished - Feb 2021

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