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Growth Kinetics of Macronodular Lung Metastases and Survival in Differentiated Thyroid Carcinoma

  • Mijin Kim
  • , Won Gu Kim
  • , Suyeon Park
  • , Hyemi Kwon
  • , Min Ji Jeon
  • , Sang Min Lee
  • , Jeong Hyun Lee
  • , Tae Yong Kim
  • , Young Kee Shong
  • , Won Bae Kim
  • University of Ulsan

Research output: Contribution to journal › Article › peer-review

Abstract

Background: The clinical course of patients with lung metastases of differentiated thyroid carcinoma (DTC) vary, and cancer-specific survival (CSS) can be associated with tumor burden. This study evaluated the growth kinetics of lung metastases from DTC using serial chest computed tomography for Response Evaluation Criteria in Solid Tumors assessment and its prognostic implications. Methods: Forty-four patients with macronodular lung metastases (≥1 cm) of DTC were included. The time intervals to disease progression of lung metastases were measured and compared to CSS rates. Results: On the basis of the time to progression, 15 (34%), 17 (39%), and 12 (27%) patients were classified into the slow (≥3 years), moderate (1-3 years), and rapid groups (<1 year), respectively. The growth kinetics of lung metastases exhibited a linear pattern in the three groups. The doubling time of tumor burden was 1.8 years (R2 = 0.973, p = 0.013) in the rapid group, and the estimated doubling time of the tumor burden in the moderate and slow groups was 5.9 years and 19.3 years, respectively. No independent variable predicted the growth kinetics of lung metastases. In multivariate analysis, disease progression within the first year was an independent predictor of CSS (hazard ratio = 8.6; p = 0.003). Conclusions: This is the first study to demonstrate objectively that tumor growth kinetics within the first year are an independent predictor of CSS in patients with macronodular lung metastases. Performing chest computed tomography at least twice a year in the early phase of the disease in patients with macronodular lung metastases may be helpful for identifying high-risk patients who are eligible for treatment with tyrosine kinase inhibitors.

Original languageEnglish
Pages (from-to)915-922
Number of pages8
JournalThyroid
Volume27
Issue number7
DOIs
StatePublished - Jul 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • kinetics
  • lung
  • response evaluation criteria in solid tumors
  • survival
  • thyroid neoplasm

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