The eighth staging system of non-small cell lung cancer and its practical implications

Turna A., AK G., Komurcuoglu B. E., Yurt S., Yilmaz U.

TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, vol.25, no.3, pp.484-498, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 25 Issue: 3
  • Publication Date: 2017
  • Doi Number: 10.5606/tgkdc.dergisi.2017.14362
  • Journal Name: TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.484-498
  • Keywords: Eight staging system, lung cancer, M factor, N factor, T factor, POSITRON-EMISSION-TOMOGRAPHY, TRANSBRONCHIAL NEEDLE ASPIRATION, PROJECT BACKGROUND DATA, INTERNATIONAL MULTIDISCIPLINARY CLASSIFICATION, ASSISTED MEDIASTINOSCOPIC LYMPHADENECTOMY, MALIGNANT PLEURAL EFFUSION, TNM CLASSIFICATION, ENDOBRONCHIAL ULTRASOUND, CERVICAL MEDIASTINOSCOPY, COMPUTED-TOMOGRAPHY
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

Staging is an essential part of the approach to patients with lung cancer. The primary goal of the tumor classification is to correctly describe the anatomic extent of the disease. The anatomic extent of the tumor has a major impact on the treatment selection and prognosis. The general approach to patients with non-small cell lung cancer include mediastinal staging and non-thoracic staging methods, history and physical examination, imaging, minimally invasive techniques, and invasive surgical techniques. The current lung cancer staging system is the eighth edition of the tumor, node, and metastasis (TNM) classification, which was took effect in January 2017. In this article, staging methods and the definitions for current T, N, M descriptors and the stage groups in non-small cell lung cancer are reviewed. New definitions of T, N, and M factors seem to better indicate the most optimal treatment option for an individual patient and to better predict the survival in patients.