Artificial intelligence analysis of three-dimensional imaging data derives factors associated with postoperative recurrence in patients with radiologically solid-predominant small-sized lung cancers. (23rd December 2021)

• Record Type: Journal Article
• Authors: Kudo, Yujin; Shimada, Yoshihisa; Matsubayashi, Jun; Kitamura, Yoshiro; Makino, Yojiro; Maehara, Sachio; Hagiwara, Masaru; Park, Jinho; Yamada, Takafumi; Takeuchi, Susumu; Kakihana, Masatoshi; Nagao, Toshitaka; Ohira, Tatsuo; Masumoto, Jun; Ikeda, Norihiko
• Is Part Of: European journal of cardio-thoracic surgery. Volume 61:Number 4(2022)
• Page Start: 751
• Page End: 760
• Publication Date: 2021-12-23
• Subjects: Lung cancer -- Artificial intelligence -- Three-dimensional imaging -- Ground-glass nodule -- Maximum standardized uptake value; Heart -- Surgery -- Periodicals; Chest -- Surgery -- Periodicals; 617.54
• DOI: 10.1093/ejcts/ezab541
• Languages: English
• ISSNs: 1010-7940

Abstract

Abstract: OBJECTIVES: Indications of limited resection, such as segmentectomy, have recently been reported for patients with solid-predominant lung cancers ≤2 cm. This study aims to identify unfavourable prognostic factors using three-dimensional imaging analysis with artificial intelligence (AI) technology. METHODS: A total of 157 patients who had clinical N0 non-small cell lung cancer with a radiological size ≤2 cm, and a consolidation tumour ratio > 0.5, who underwent anatomical lung resection between 2011 and 2017 were enrolled. To evaluate the three-dimensional structure, the ground-glass nodule/Solid Automatic Identification AI software Beta Version (AI software; Fujifilm Corporation, Japan) was used. RESULTS: Maximum standardized uptake value (SUVmax) and solid-part volume measured by AI software (AI-SV) showed significant differences between the 139 patients with adenocarcinoma and the 18 patients with non-adenocarcinoma. Among the adenocarcinoma patients, 42 patients (30.2%) were found to be pathological upstaging. Multivariable analysis demonstrated that high SUVmax, high carcinoembryonic antigen level and high AI-SV were significant prognostic factors for recurrence-free survival (RFS; P < 0.05). The 5-year RFS was compared between patients with tumours showing high SUVmax and those showing low SUVmax (67.7% vs 95.4%, respectively, P < 0.001). The 5-year RFS was 91.0% in patients with small AI-SV and 68.1% in those with high AI-SV ( P = 0.001). CONCLUSIONS: High AI-SV, high SUVmax and abnormal carcinoembryonic antigen level were unfavourable prognostic factors of patients with solid-predominant lung adenocarcinoma with a radiological size ≤2 cm. Our results suggest that lobectomy should be preferred to segmentectomy for patients with these prognostic factors. Abstract : Recent developments in imaging modalities and the widespread use of low-dose helical computed tomography (CT) for the detection of lung cancer have contributed to the increase in the detection rate of small pulmonary lesions [1].