Updates on lung adenocarcinoma: invasive size, grading and STAS

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) …

Updates in pathology and molecular diagnostics to inform the evolving landscape of thoracic surgery and oncology

J Naso, YC Lo, LM Sholl - Journal of Surgical Oncology, 2023 - Wiley Online Library
The pathologic assessment of lung cancers provides essential guidance to the surgeon and
oncologist who are considering the best treatment strategies for patients with both early and …

[HTML][HTML] Assessment of the feasibility of frozen sections for the detection of spread through air spaces (STAS) in pulmonary adenocarcinoma

F Zhou, JA Villalba, TMS Sayo, N Narula, H Pass… - Modern Pathology, 2022 - Elsevier
Spread through air spaces (STAS) is reportedly associated with worse prognosis in sublobar
resections of lung adenocarcinoma. Recently, it was proposed that STAS detected on frozen …

Spread through air spaces (STAS) in non− small cell lung carcinoma: evidence supportive of an in vivo phenomenon

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 …

[HTML][HTML] 3D convolutional neural network model from contrast-enhanced CT to predict spread through air spaces in non-small cell lung cancer

J Tao, C Liang, K Yin, J Fang, B Chen, Z Wang… - Diagnostic and …, 2022 - Elsevier
Purpose The purpose of this study was to compare the efficacy of five non-invasive models,
including three-dimensional (3D) convolutional neural network (CNN) model, to predict the …

[HTML][HTML] Role of radiomics in predicting lung cancer spread through air spaces in a heterogeneous dataset

M Bassi, A Russomando, J Vannucci… - Translational Lung …, 2022 - ncbi.nlm.nih.gov
Background Spread through air spaces (STAS) has been reported as a negative prognostic
factor in patients with lung cancer undergoing sublobar resection. Radiomics has been …

Improving the prediction of Spreading Through Air Spaces (STAS) in primary lung cancer with a dynamic dual-delta hybrid machine learning model: a multicenter …

W Jin, L Shen, Y Tian, H Zhu, N Zou, M Zhang… - Biomarker …, 2023 - Springer
Background Reliable pre-surgical prediction of spreading through air spaces (STAS) in
primary lung cancer is essential for precision treatment and surgical decision-making. We …

Frozen sections accurately predict the IASLC proposed grading system and prognosis in patients with invasive lung adenocarcinomas

J Fan, J Yao, H Si, H Xie, T Ge, W Ye, J Chen, Z Yin… - Lung Cancer, 2023 - Elsevier
Abstract Introduction The International Association for the Study of Lung Cancer (IASLC)
newly proposed grading system for lung adenocarcinomas (ADC) has been shown to be of …

Clinicopathological impact of the spread through Air Space in Non-small Cell Lung Cancer: a Meta-analysis

JS Pyo, NY Kim - Diagnostics, 2022 - mdpi.com
This study aimed to elucidate the clinicopathological significance of spread through air
space (STAS) in non-small cell lung cancer (NSCLC) through a meta-analysis. Using 47 …

Deep learning-based detection and semi-quantitative model for spread through air spaces (STAS) in lung adenocarcinoma

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 …