scholarly journals Corrigendum to “Correlation of tumor spread through air spaces and clinicopathological characteristics in surgically resected lung adenocarcinomas” [Lung Cancer 126 (2018) 189–193]

Lung Cancer ◽  
2019 ◽  
Vol 131 ◽  
pp. 157-158
Author(s):  
Szu-Yen Hu ◽  
Min-Shu Hsieh ◽  
Hsao-Hsun Hsu ◽  
Tung-Ming Tsai ◽  
Xu-Heng Chiang ◽  
...  
Lung Cancer ◽  
2018 ◽  
Vol 126 ◽  
pp. 189-193 ◽  
Author(s):  
Szu-Yen Hu ◽  
Min-Shu Hsieh ◽  
Hsao-Hsun Hsu ◽  
Tung-Ming Tsai ◽  
Xu-Heng Chiang ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuki Onozato ◽  
Takahiro Nakajima ◽  
Hajime Yokota ◽  
Jyunichi Morimoto ◽  
Akira Nishiyama ◽  
...  

AbstractTumor spread through air spaces (STAS) in non-small-cell lung cancer (NSCLC) is known to influence a poor patient outcome, even in patients presenting with early-stage disease. However, the pre-operative diagnosis of STAS remains challenging. With the progress of radiomics-based analyses several attempts have been made to predict STAS based on radiological findings. In the present study, patients with NSCLC which is located peripherally and tumors ≤ 2 cm in size on computed tomography (CT) that were potential candidates for sublobar resection were enrolled in this study. The radiologic features of the targeted tumors on thin-section CT were extracted using the PyRadiomics v3.0 software package, and a predictive model for STAS was built using the t-test and XGBoost. Thirty-five out of 226 patients had a STAS histology. The predictive model of STAS indicated an area under the receiver-operator characteristic curve (AUC) of 0.77. There was no significant difference in the overall survival (OS) for lobectomy between the predicted-STAS (+) and (−) groups (p = 0.19), but an unfavorable OS for sublobar resection was indicated in the predicted-STAS (+) group (p < 0.01). These results suggest that radiomics with machine-learning helped to develop a favorable model of STAS (+) NSCLC, which might be useful for the proper selection of candidates who should undergo sublobar resection.


2017 ◽  
Vol 12 (1) ◽  
pp. S1122
Author(s):  
Kyohei Masai ◽  
Aoi Sukeda ◽  
Akihiko Yoshida ◽  
Keisuke Asakura ◽  
Kazuo Nakagawa ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Huikang Xie ◽  
Hang Su ◽  
Erjia Zhu ◽  
Chang Gu ◽  
Shengnan Zhao ◽  
...  

BackgroundTumor spread through air spaces (STAS) has three morphologic subtypes: single cells, micropapillary clusters, and solid nests. However, whether their respective clinical significance is similar remains unclear.MethodsWe retrospectively reviewed 803 patients with resected non-small cell lung cancer (NSCLC) from January to December 2009. Recurrence-free survival (RFS) and overall survival (OS) were compared among patients stratified by STAS subtypes. We also performed a prospective study of NSCLC resection specimens to evaluate the influence of a prosecting knife on the presence of STAS subtypes during specimen handling (83 cases).ResultsSTAS was found in 370 NSCLCs (46%), including 47 single cell STAS (13%), 187 micropapillary cluster STAS (50%), and 136 solid nest STAS (37%). STAS-negative patients had significantly better survival than patients with micropapillary cluster STAS (RFS: P &lt; 0.001; OS: P &lt; 0.001) and solid nest STAS (RFS: P &lt; 0.001; OS: P &lt; 0.001), but similar survival compared with those with single cell STAS (RFS: P = 0.995; OS: P = 0.71). Multivariate analysis revealed micropapillary cluster (RFS: P &lt; 0.001; OS: P &lt; 0.001) and solid nest STAS (RFS: P = 0.001; OS: P = 0.003) to be an independent prognostic indicator, but not for single cell STAS (RFS: P = 0.989; OS: P = 0.68). Similar results were obtained in subgroup analysis of patients with adenocarcinoma. The prospective study of NSCLC specimens suggested that 18 cases were considered as STAS false-positive, and most were singe cell pattern (13/18, 72%).ConclusionsSingle cell STAS was the common morphologic type of artifacts produced by a prosecting knife. A precise protocol of surgical specimen handling is required to minimize artifacts as much as possible.


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