Prognostic value of consolidation-to-tumor ratio on computed tomography in NSCLC: a meta-analysis

World J Surg Oncol. 2023 Jun 22;21(1):190. doi: 10.1186/s12957-023-03081-y.

Abstract

Background: Although several studies have confirmed the prognostic value of the consolidation to tumor ratio (CTR) in non-small cell lung cancer (NSCLC), there still remains controversial about it.

Methods: We systematically searched the PubMed, Embase, and Web of Science databases from inception to April, 2022 for eligible studies that reported the correlation between CTR and prognosis in NSCLC. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were extracted and pooled to assess the overall effects. Heterogeneity was estimated by I2 statistics. Subgroup analysis based on the cut-off value of CTR, country, source of HR and histology type was conducted to detect the sources of heterogeneity. Statistical analyses were performed using STATA version 12.0.

Results: A total of 29 studies published between 2001 and 2022 with 10,347 patients were enrolled. The pooled results demonstrated that elevated CTR was associated with poorer overall survival (HR = 1.88, 95% CI 1.42-2.50, P < 0.01) and disease-free survival (DFS)/recurrence-free survival (RFS)/progression-free survival (PFS) (HR = 1.42, 95% CI 1.27-1.59, P < 0.01) in NSCLC. According to subgroup analysis by the cut-off value of CTR and histology type, both lung adenocarcinoma and NSCLC patients who had a higher CTR showed worse survival. Subgroup analysis stratified by country revealed that CTR was a prognostic factor for OS and DFS/RFS/PFS in Chinese, Japanese, and Turkish patients.

Conclusions: In NSCLC patients with high CTR, the prognosis was worse than that with low CTR, indicating that CTR may be a prognostic factor.

Keywords: Consolidation to tumor ratio; Meta-analysis; Non-small cell lung cancer; Prognostic.

Publication types

  • Systematic Review
  • Meta-Analysis
  • Review

MeSH terms

  • Carcinoma, Non-Small-Cell Lung* / diagnostic imaging
  • Humans
  • Lung Neoplasms* / diagnostic imaging
  • Prognosis
  • Proportional Hazards Models
  • Tomography