J Willner, N Narula, AL Moreira - Histopathology, 2024 - Wiley Online Library
Advancements in the classification of lung adenocarcinoma have resulted in significant changes in pathological reporting. The eighth edition of the tumour–node–metastasis (TNM) …
DJ Gross, MS Hsieh, Y Li, J Dux… - The American journal …, 2021 - journals.lww.com
Tumor spread through air spaces (STAS) is associated with locoregional recurrence in patients undergoing limited resection (LR) for non− small cell lung carcinoma (NSCLC). We …
WS Shim, K Yim, TJ Kim, YE Sung, G Lee, JH Hong… - Cancers, 2021 - mdpi.com
Simple Summary Pathology images are vital for understanding solid cancers. In this study, we created DeepRePath using multi-scale pathology images with two-channel deep …
M Shimomura, A Miyagawa-Hayashino, I Omatsu… - Lung cancer, 2022 - Elsevier
Purpose To evaluate the frequency of spread through air spaces (STAS) in patients with early-stage primary lung cancer and to elucidate the association between STAS and various …
FC Detterbeck, VJ Mase Jr, AX Li… - Journal of Thoracic …, 2022 - ncbi.nlm.nih.gov
Background Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options (lobectomy, segmentectomy, wedge, stereotactic body …
M Garlin-Politis, A Saqi, M Mino-Kenudson - Modern Pathology, 2024 - Elsevier
Spread through air spaces (STAS), an important prognostic indicator included in the 2015 World Health Organization classification, is defined as micropapillary, solid, and/or single …
Y Feng, H Ding, X Huang, Y Zhang, M Lu… - NPJ Precision …, 2024 - nature.com
Tumor spread through air spaces (STAS) is a distinctive metastatic pattern affecting prognosis in lung adenocarcinoma (LUAD) patients. Several challenges are associated with …
L Huang, L Tang, L Dai, Y Shi - Thoracic Cancer, 2022 - Wiley Online Library
Aim There are still patients of stage I lung adenocarcinoma (ADC) suffering from local or distant recurrence. Herein we conducted a meta‐analysis to investigate the prognostic value …
Y Wang, Y Ding, X Liu, X Li, X Jia, J Li, H Zhang… - Cancer Imaging, 2023 - Springer
Objective To develop and validate a prediction model for early recurrence of stage I lung adenocarcinoma (LUAD) that combines radiomics features based on preoperative CT with …