Skip to main content

Prognostic value of computed tomography texture features in non-small cell lung cancers treated with definitive concomitant chemoradiotherapy.

Publication ,  Journal Article
Ahn, SY; Park, CM; Park, SJ; Kim, HJ; Song, C; Lee, SM; McAdams, HP; Goo, JM
Published in: Invest Radiol
October 2015

OBJECTIVES: The aim of this study was to investigate whether the computed tomography (CT) texture features of primary tumors are associated with the overall survival (OS) of non-small cell lung cancer (NSCLC) patients undergoing definitive concomitant chemoradiotherapy (CCRT). MATERIALS AND METHODS: In this retrospective study, 98 patients (83 men and 15 women; mean age, 61.9 ± 8.0 years) with unresectable NSCLCs (stage IIIA, 45; stage IIIB, 53) underwent definitive CCRT at our institution from January 2006 to December 2011. Patients were followed up for 3 years or until death. The CT texture parameters of primary tumors were extracted from contrast-enhanced CT images taken before CCRT using an in-house software program. Each texture parameter was dichotomized based on their optimal cutoff values obtained from receiver operating characteristics curve analysis. Three-year OS was compared between the dichotomized subgroups using Kaplan-Meier analysis and the log-rank test. Multivariate Cox regression analysis was performed to determine significant prognostic factors. RESULTS: The 3-year cumulative survival rate was 0.51. The mean 3-year OS was 24.0 months (95% confidence interval, 21.5-26.6 months). There were no significant differences in 3-year OS according to tumor stage or histologic subtypes. However, entropy (P = 0.030), skewness (P = 0.021), and mean attenuation (P = 0.030) were shown to be significantly associated with 3-year OS. Multivariate Cox regression analysis revealed that higher entropy (adjusted hazard ratio [HR],2.31; P = 0.040), higher skewness (adjusted HR,1.92; P = 0.046), and higher mean attenuation (adjusted HR,1.93; P = 0.028) were independent predictors of decreased 3-year OS. CONCLUSIONS: Computed tomography texture features have the potential to be used as prognostic biomarkers in unresectable NSCLC patients undergoing definitive CCRT.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Invest Radiol

DOI

EISSN

1536-0210

Publication Date

October 2015

Volume

50

Issue

10

Start / End Page

719 / 725

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Survival Rate
  • Retrospective Studies
  • Reproducibility of Results
  • Radiographic Image Enhancement
  • Proportional Hazards Models
  • Prognosis
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ahn, S. Y., Park, C. M., Park, S. J., Kim, H. J., Song, C., Lee, S. M., … Goo, J. M. (2015). Prognostic value of computed tomography texture features in non-small cell lung cancers treated with definitive concomitant chemoradiotherapy. Invest Radiol, 50(10), 719–725. https://doi.org/10.1097/RLI.0000000000000174
Ahn, Su Yeon, Chang Min Park, Sang Joon Park, Hak Jae Kim, Changhoon Song, Sang Min Lee, Holman Page McAdams, and Jin Mo Goo. “Prognostic value of computed tomography texture features in non-small cell lung cancers treated with definitive concomitant chemoradiotherapy.Invest Radiol 50, no. 10 (October 2015): 719–25. https://doi.org/10.1097/RLI.0000000000000174.
Ahn SY, Park CM, Park SJ, Kim HJ, Song C, Lee SM, et al. Prognostic value of computed tomography texture features in non-small cell lung cancers treated with definitive concomitant chemoradiotherapy. Invest Radiol. 2015 Oct;50(10):719–25.
Ahn, Su Yeon, et al. “Prognostic value of computed tomography texture features in non-small cell lung cancers treated with definitive concomitant chemoradiotherapy.Invest Radiol, vol. 50, no. 10, Oct. 2015, pp. 719–25. Pubmed, doi:10.1097/RLI.0000000000000174.
Ahn SY, Park CM, Park SJ, Kim HJ, Song C, Lee SM, McAdams HP, Goo JM. Prognostic value of computed tomography texture features in non-small cell lung cancers treated with definitive concomitant chemoradiotherapy. Invest Radiol. 2015 Oct;50(10):719–725.

Published In

Invest Radiol

DOI

EISSN

1536-0210

Publication Date

October 2015

Volume

50

Issue

10

Start / End Page

719 / 725

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Survival Rate
  • Retrospective Studies
  • Reproducibility of Results
  • Radiographic Image Enhancement
  • Proportional Hazards Models
  • Prognosis
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male