Ádám Domonkos Tárnoki, Dávid László Tárnoki, Marta Dąbrowska, Magdalena Knetki-Wróblewska, Armin Frille, Harrison Stubbs, Kevin G Blyth, Amanda Dandanell Juul
{"title":"New developments in the imaging of lung cancer.","authors":"Ádám Domonkos Tárnoki, Dávid László Tárnoki, Marta Dąbrowska, Magdalena Knetki-Wróblewska, Armin Frille, Harrison Stubbs, Kevin G Blyth, Amanda Dandanell Juul","doi":"10.1183/20734735.0176-2023","DOIUrl":null,"url":null,"abstract":"<p><p>Radiological and nuclear medicine methods play a fundamental role in the diagnosis and staging of patients with lung cancer. Imaging is essential in the detection, characterisation, staging and follow-up of lung cancer. Due to the increasing evidence, low-dose chest computed tomography (CT) screening for the early detection of lung cancer is being introduced to the clinical routine in several countries. Radiomics and radiogenomics are emerging fields reliant on artificial intelligence to improve diagnosis and personalised risk stratification. Ultrasound- and CT-guided interventions are minimally invasive methods for the diagnosis and treatment of pulmonary malignancies. In this review, we put more emphasis on the new developments in the imaging of lung cancer.</p>","PeriodicalId":9292,"journal":{"name":"Breathe","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11003524/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breathe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1183/20734735.0176-2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0
Abstract
Radiological and nuclear medicine methods play a fundamental role in the diagnosis and staging of patients with lung cancer. Imaging is essential in the detection, characterisation, staging and follow-up of lung cancer. Due to the increasing evidence, low-dose chest computed tomography (CT) screening for the early detection of lung cancer is being introduced to the clinical routine in several countries. Radiomics and radiogenomics are emerging fields reliant on artificial intelligence to improve diagnosis and personalised risk stratification. Ultrasound- and CT-guided interventions are minimally invasive methods for the diagnosis and treatment of pulmonary malignancies. In this review, we put more emphasis on the new developments in the imaging of lung cancer.