Thin-slice computed tomography enables to classify pulmonary subsolid nodules into pre-invasive lesi...
Thin-slice computed tomography enables to classify pulmonary subsolid nodules into pre-invasive lesion/minimally invasive adenocarcinoma and invasive adenocarcinoma: a retrospective study
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Author / Creator
Li, Min , Zhu, Lei , Lv, Yilv , Shen, Leilei , Han, Yuchen and Ye, Bo
Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
The aim was to investigate the ability of thin-slice computed tomography (TSCT) to differentiate invasive pulmonary adenocarcinomas (IACs) from pre-invasive/minimally invasive adenocarcinoma (AAH-MIAs), manifesting as subsolid nodules (SSNs) of diameter less than 30 mm. The CT findings of 810 patients with single subsolid nodules diagnosed by patho...
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Full title
Thin-slice computed tomography enables to classify pulmonary subsolid nodules into pre-invasive lesion/minimally invasive adenocarcinoma and invasive adenocarcinoma: a retrospective study
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TN_cdi_doaj_primary_oai_doaj_org_article_8b4e8ac1798043ebbdd6ec36d2427ae9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b4e8ac1798043ebbdd6ec36d2427ae9
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-33803-x
