{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T02:23:37Z","timestamp":1791944617591,"version":"4.3.4"},"reference-count":52,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,17]],"date-time":"2024-03-17T00:00:00Z","timestamp":1710633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>Background: The widespread use of chest CT has increased the number of detected pulmonary nodules. Nodules with intermediate risk of malignancy warrant further evaluation with PET-CT or sampling. Although sampling with conventional bronchoscopy presents lower complication rates compared to transthoracic needle biopsy (TTNB), it is limited by the inability to reach distal airways. To overcome this shortcoming, a new bronchoscopic technique named robotic bronchoscopy (RB) has emerged. Methods: A literature review was used to clarify the rationale behind RB emergence, describe RB procedure, and summarize data regarding its efficacy and safety. Results: The FDA has approved three RB platforms for clinical use. RB is safe, presenting a mortality and complication rate of 0% and 0\u20138.1%, respectively. Common complications include pneumothorax (0\u20135.7%) and minor bleeding (0\u20133.2%). However, its diagnostic yield remains lower than that of TTNB. Conclusions: RB is a promising bronchoscopic technique that aims to overcome the limitations of conventional bronchoscopy and improve upon the current techniques of guided bronchoscopy for the investigation of pulmonary nodules. Despite the lower complication rate, current evidence suggests a lower diagnostic yield compared to TTNB. Additional studies are required to adequately evaluate the role of RB in the diagnosis of pulmonary nodules.<\/jats:p>","DOI":"10.3390\/cancers16061179","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T04:25:15Z","timestamp":1710735915000},"page":"1179","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Robotic Bronchoscopy in Lung Cancer Diagnosis"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7362-547X","authenticated-orcid":false,"given":"Vasileios S.","family":"Skouras","sequence":"first","affiliation":[{"name":"Department of Pulmonary Medicine, 401 General Military Hospital, 1 Kanellopoulou Avenue, 11525 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2902-3391","authenticated-orcid":false,"given":"Ioannis","family":"Gkiozos","sequence":"additional","affiliation":[{"name":"Oncology Unit, 3rd Department of Internal Medicine, National and Kapodistrian University of Athens, 152 \u039cesogeion Avenue, 11527 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5107-6430","authenticated-orcid":false,"given":"Andriani G.","family":"Charpidou","sequence":"additional","affiliation":[{"name":"Oncology Unit, 3rd Department of Internal Medicine, National and Kapodistrian University of Athens, 152 \u039cesogeion Avenue, 11527 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantinos N.","family":"Syrigos","sequence":"additional","affiliation":[{"name":"Oncology Unit, 3rd Department of Internal Medicine, National and Kapodistrian University of Athens, 152 \u039cesogeion Avenue, 11527 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ccm.2019.10.001","article-title":"Lung Cancer 2020: Epidemiology, Etiology, and Prevention","volume":"41","author":"Bade","year":"2020","journal-title":"Clin. 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