Can high-risk CT features suggest local recurrence after stereotactic body radiation therapy for lung cancer? A systematic review and meta-analysis. Review uri icon

Overview

abstract

  • PURPOSE: To perform a systematic review and meta-analysis evaluating usefulness of high-risk CT features (HRFs) on follow-up CT in detecting local recurrence after stereotactic body radiation therapy (SBRT) in lung cancer patients. METHODS: Pubmed and EMBASE were searched up to January 11th, 2019. We included studies that differentiated local recurrence from post-SBRT changes after SBRT on follow-up CT in lung cancer patients. Methodological quality was assessed using QUADAS-2. The association between HRFs and local recurrence were pooled in the form of odds ratio (OR) using the random effects model. Heterogeneity was examined by the Inconsistency index (I2). RESULTS: Eight studies were included, consisting of 356 lung cancer patients. The overall prevalence of patients with local recurrence was 18.8 % (67/356). Compared with post-SBRT changes, local recurrence after SBRT more frequently demonstrated air-bronchogram disappearance (OR = 7.15), bulging margin (OR = 24.12), craniocaudal growth (OR = 26.07), enlargement after 12 months (OR = 28.11), enlarging opacity (OR = 7.92), linear margin disappearance (OR = 29.24), and sequential enlargement (OR = 83.23) (p ≤ 0.02). Pleural effusion appearance was not related with local recurrence (p = 0.82). Heterogeneity varied among HRFs (I2 = 0-91 %). The quality of the studies was considered moderate. CONCLUSIONS: Several HRFs on follow-up CT after SBRT were useful in suggesting local recurrence. These HRFs may help raise clinical suspicion of local recurrence, initiate prompt additional test for confirmation and perform subsequent proper personalized salvage treatment.

publication date

  • April 7, 2020

Research

keywords

  • Lung Neoplasms
  • Neoplasm Recurrence, Local
  • Radiosurgery
  • Tomography, X-Ray Computed

Identity

PubMed Central ID

  • PMC7424838

Scopus Document Identifier

  • 85083046307

Digital Object Identifier (DOI)

  • 10.1016/j.ejrad.2020.108978

PubMed ID

  • 32298960

Additional Document Info

volume

  • 127