Effective early diagnosis for NSCLC: an algorithm. (2nd November 2021)

• Record Type: Journal Article
• Authors: Zarogoulidis, Paul; Matthaios, Dimitris; Kosmidis, Christoforos; Hohenforst-Schmidt, Wolfgang; Tsakiridis, Kosmas; Mpaka, Sofia; Boukovinas, Ioannis; Drougas, Dimitris; Theofilatou, Vasiliki; Zaric, Bojan; Courcoutsakis, Nikolaos; Nikolaidis, George; Huang, Haidong; Bai, Chong
• Is Part Of: Expert review of respiratory medicine. Volume 15:Number 11(2021)
• Page Start: 1437
• Page End: 1445
• Publication Date: 2021-11-02
• Subjects: Bronchoscopy -- lung cancer -- EBUS-TBNA -- ct-biopsy -- ultrasound -- endoscopy; Respiratory organs -- Diseases -- Periodicals; Respiratory organs -- Diseases -- Treatment -- Periodicals; 616.2005
• DOI: 10.1080/17476348.2021.1969916
• Languages: English
• ISSNs: 1747-6348

Abstract

ABSTRACT: Introduction: Lung cancer still remains undiagnosed for most patients until the disease is inoperable. Areas covered: We performed search on PubMed with the keywords: EBUS, radial-EBUS, bronchoscopy, lung cancer, electromagnetic navigation, ct-biopsy, transthoracic biopsy. We present diagnostic equipment and imaging techniques such as positron emission tomography, endoscopical navigation systems, endobronchial ultrasound, radial-endobronchial ultrasound, transthoracic ultrasound biopsy, and computed tomography guided biopsies. Expert opinion: However, lack of early disease symptoms remains the most important issue and therefore we should direct our efforts to screening and early disease diagnosis. An algorithm is proposed for biopsy upon initial disease diagnosis.