» Articles » PMID: 33384039

The Diagnosis of Lung Cancer in the Era of Interventional Pulmonology

Overview
Specialty Pulmonary Medicine
Date 2021 Jan 1
PMID 33384039
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Advances in bronchoscopic and other interventional pulmonology technologies have expanded the sampling procedures pulmonologist can use to diagnose lung cancer and accurately stage the mediastinum. Among the modalities available to the interventional pulmonologist are endobronchial ultrasound-guided transbronchial needles aspiration (EBUS-TBNA) and transoesophageal bronchoscopic ultrasound-guided fine-needle aspiration (EUS-B-FNA) for sampling peribronchial/perioesophageal central lesions and for mediastinal lymph node staging, as well as navigational bronchoscopy and radial probe endobronchial ultrasound (RP-EBUS) for the diagnosis of peripheral lung cancer. The role of the interventional pulmonologist in this setting is to apply these procedures based on the correct interpretation of clinical and radiological findings in order to maximise the chances of achieving the diagnosis and obtaining sufficient tissue for molecular biomarker testing to guide targeted therapies for advanced non-small cell lung cancer. The safest and the highest diagnosis-yielding modality should be chosen to avoid a repeat sampling procedure if the first one is non-diagnostic. The choice of site and biopsy modality are influenced by tumour location, patient comorbidities, availability of equipment and local expertise. This review provides a concise state-of-the art account of the interventional pulmonology procedures in the diagnosis and staging of lung cancer.

Citing Articles

Novel Strategies for Lung Cancer Interventional Diagnostics.

Smyth R, Billatos E J Clin Med. 2024; 13(23).

PMID: 39685665 PMC: 11642246. DOI: 10.3390/jcm13237207.


Additional benefit of endoscopic ultrasound with bronchoscope-guided fine needle aspiration to endobronchial ultrasound-guided transbronchial needle aspiration in the evaluation of lung cancer: a systematic review and meta-analysis.

Lee J, Song J J Thorac Dis. 2024; 16(8):5063-5072.

PMID: 39268141 PMC: 11388219. DOI: 10.21037/jtd-24-721.


Diagnostic value of miR-200 family in non-small cell lung cancer: a meta-analysis.

Ling Z, Yang L Biomark Med. 2024; 18(8):419-431.

PMID: 39041844 PMC: 11285352. DOI: 10.2217/bmm-2024-0087.


Identification and validation of and methylation for detecting lung cancer in bronchial washing sample.

Oh T, Jang S, Kim S, Woo M, Son J, Jeong I Oncol Lett. 2024; 27(6):246.

PMID: 38638845 PMC: 11024764. DOI: 10.3892/ol.2024.14379.


Artificial Intelligence Algorithm-Based Feature Extraction of Computed Tomography Images and Analysis of Benign and Malignant Pulmonary Nodules.

Gao Y, Chen Y, Jiang Y, Li Y, Zhang X, Luo M Comput Intell Neurosci. 2022; 2022:5762623.

PMID: 36156972 PMC: 9492375. DOI: 10.1155/2022/5762623.