Clinical Study of Artificial Intelligence-assisted Diagnosis System in Predicting the Invasive Subtypes of Early-stage Lung Adenocarcinoma Appearing as Pulmonary Nodules

Autor: Zhipeng SU, Wenjie MAO, Bin LI, Zhizhong ZHENG, Bo YANG, Meiyu REN, Tieniu SONG, Haiming FENG, Yuqi MENG
Jazyk: čínština
Rok vydání: 2022
Předmět:
Zdroj: Chinese Journal of Lung Cancer, Vol 25, Iss 4, Pp 245-252 (2022)
Druh dokumentu: article
ISSN: 1009-3419
1999-6187
DOI: 10.3779/j.issn.1009-3419.2022.102.12
Popis: Background and objective Lung cancer is the cancer with the highest mortality at home and abroad at present. The detection of lung nodules is a key step to reducing the mortality of lung cancer. Artificial intelligence-assisted diagnosis system presents as the state of the art in the area of nodule detection, differentiation between benign and malignant and diagnosis of invasive subtypes, however, a validation with clinical data is necessary for further application. Therefore, the aim of this study is to evaluate the effectiveness of artificial intelligence-assisted diagnosis system in predicting the invasive subtypes of early‑stage lung adenocarcinoma appearing as pulmonary nodules. Methods Clinical data of 223 patients with early-stage lung adenocarcinoma appearing as pulmonary nodules admitted to the Lanzhou University Second Hospital from January 1st, 2016 to December 31th, 2021 were retrospectively analyzed, which were divided into invasive adenocarcinoma group (n=170) and non-invasive adenocarcinoma group (n=53), and the non-invasive adenocarcinoma group was subdivided into minimally invasive adenocarcinoma group (n=31) and preinvasive lesions group (n=22). The malignant probability and imaging characteristics of each group were compared to analyze their predictive ability for the invasive subtypes of early-stage lung adenocarcinoma. The concordance between qualitative diagnostic results of artificial intelligence-assisted diagnosis of the invasive subtypes of early-stage lung adenocarcinoma and postoperative pathology was then analyzed. Results In different invasive subtypes of early-stage lung adenocarcinoma, the mean CT value of pulmonary nodules (P
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