Effective early diagnosis for NSCLC: an algorithm

Zarogoulidis P, Matthaios D, Kosmidis C, Hohenforst-Schmidt W, Tsakiridis K, Mpaka S, Boukovinas I, Drougas D, Theofilatou V, Zaric B, Courcoutsakis N, Nikolaidis G, Huang H, Bai C (2021)


Publication Type: Journal article, Review article

Publication year: 2021

Journal

DOI: 10.1080/17476348.2021.1969916

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.

Involved external institutions

How to cite

APA:

Zarogoulidis, P., Matthaios, D., Kosmidis, C., Hohenforst-Schmidt, W., Tsakiridis, K., Mpaka, S.,... Bai, C. (2021). Effective early diagnosis for NSCLC: an algorithm. Expert Review of Respiratory Medicine. https://doi.org/10.1080/17476348.2021.1969916

MLA:

Zarogoulidis, Paul, et al. "Effective early diagnosis for NSCLC: an algorithm." Expert Review of Respiratory Medicine (2021).

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