Literature DB >> 33152625

Risk Factors for The Growth of Residual Nodule in Surgical Patients with Adenocarcinoma Presenting as Multifocal Ground-glass Nodules.

Tianyi Xia1, Mengting Cai1, Yuandi Zhuang1, Xiaowei Ji1, Dingpin Huang1, Liaoyi Lin1, Jinjin Liu1, Yunjun Yang2, Gangze Fu3.   

Abstract

PURPOSE: We aim to investigate the risk factors influencing the growth of residual nodule (RN) in surgical patients with adenocarcinoma presenting as multifocal ground-glass nodules (GGNs).
METHOD: From January 2014 to June 2018, we enrolled 238 patients with multiple GGNs in a retrospective review. Patients were categorized into growth group 63 (26.5%), and non-growth group 175 (73.5%). The median follow-up time was 28.2 months (range, 6.3-73.0 months). To obtain the time of RN growth and find the risk factors for growth, data such as age, gender, history of smoking, history of malignancy, type of surgery, pathology and radiological characteristics were analyzed to use Kaplan-Meier method with the log-rank test and Cox regression analysis.
RESULTS: The median growth time of RN was 56.0 months (95% CI, 45.0-67.0 months) in all 238 patients. Roundness (HR 4.62, 95% CI 2.20-9.68), part-solid nodule (CTR ≥ 50%) (HR 4.39, 95% CI 2.29-8.45), vascular convergence sign (HR 2.32, 95% CI 1.36-3.96) of RN, and age (HR 1.04, 95% CI 1.01-1.07) were independent predictors of further nodule growth. However, radiological characteristics and pathology of domain tumour (DT) cannot be used as indicators to predict RN growth.
CONCLUSIONS: RN showed an indolent growth pattern in surgical patients with multifocal GGNs. RN with a higher roundness, presence of vascular convergence sign, more solid component, and in the elder was likely to grow. However, the growth of RN showed no association with the radiological features and pathology of DT.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma; Follow-up studies; Lung neoplasms; Multiple pulmonary nodules; Tomography; X-ray computed

Mesh:

Year:  2020        PMID: 33152625     DOI: 10.1016/j.ejrad.2020.109332

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  1 in total

1.  Correlation Analysis of Computed Tomography Features and Pathological Types of Multifocal Ground-Glass Nodular Lung Adenocarcinoma.

Authors:  Jieli Kou; Xiaofei Gu; Liqing Kang
Journal:  Comput Math Methods Med       Date:  2022-07-26       Impact factor: 2.809

  1 in total

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