Balancing curability and unnecessary surgery in the context of computed tomography screening for lung cancer. Academic Article uri icon

Overview

abstract

  • OBJECTIVE: Surgical management is a critical component of computed tomography (CT) screening for lung cancer. We report the results for US sites in a large ongoing screening program, the International Early Lung Cancer Action Program (I-ELCAP). METHODS: We identified all patients who underwent surgical resection. We compared the results before (1993-2005) and after (2006-2011) termination of the National Lung Screening Trial to identify emerging trends. RESULTS: Among 31,646 baseline and 37,861 annual repeat CT screenings, 492 patients underwent surgical resection; 437 (89%) were diagnosed with lung cancer; 396 (91%) had clinical stage I disease. In the 54 (11%) patients with nonmalignant disease, resection was sublobar in 48 and lobectomy in 6. The estimated cure rate based on the 15-year Kaplan-Meier survival for all 428 patients (excluding 9 typical carcinoids) with lung cancer was 84% (95% confidence interval [CI], 80%-88%) and 88% (95% CI, 83%-92%) for clinical stage I disease resected within 1 month of diagnosis. Video-assisted thoracoscopic surgery and sublobar resection increased significantly, from 10% to 34% (P < .0001) and 22% to 34% (P = .01) respectively; there were no significant differences in the percentage of malignant diagnoses (90% vs 87%, P = .36), clinical stage I (92% vs 89%, P = .33), pathologic stage I (85% vs 82%, P = .44), tumor size (P = .61), or cell type (P = .81). CONCLUSIONS: The frequency and extent of surgery for nonmalignant disease can be minimized in a CT screening program and provide a high cure rate for those diagnosed with lung cancer and undergoing surgical resection.

publication date

  • December 9, 2013

Research

keywords

  • Lung Neoplasms
  • Mass Screening
  • Patient Selection
  • Pneumonectomy
  • Thoracic Surgery, Video-Assisted
  • Tomography, X-Ray Computed
  • Unnecessary Procedures

Identity

Scopus Document Identifier

  • 84899911753

Digital Object Identifier (DOI)

  • 10.1016/j.jtcvs.2013.11.001

PubMed ID

  • 24332102

Additional Document Info

volume

  • 147

issue

  • 5