Deep learning methods for lung cancer segmentation in whole-slide histopathology images—the acdc@ lunghp challenge 2019

Z Li, J Zhang, T Tan, X Teng, X Sun… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Accurate segmentation of lung cancer in pathology slides is a critical step in improving
patient care. We proposed the ACDC@ LungHP (Automatic Cancer Detection and …

Lung-RADS: pushing the limits

MD Martin, JP Kanne, LS Broderick, EA Kazerooni… - Radiographics, 2017 - pubs.rsna.org
In response to the recommendation of the US Preventive Services Task Force and the
coverage decision by the Centers for Medicare and Medicaid Services for lung cancer …

ACR lung-RADS v2022: assessment categories and management recommendations

J Christensen, AE Prosper, CC Wu, J Chung… - Journal of the American …, 2024 - Elsevier
The ACR created the Lung CT Screening Reporting and Data System (Lung-RADS) in 2014
to standardize the reporting and management of screen-detected pulmonary nodules. Lung …

Computer-aided diagnosis of lung carcinoma using deep learning-a pilot study

Z Li, Z Hu, J Xu, T Tan, H Chen, Z Duan, P Liu… - arXiv preprint arXiv …, 2018 - arxiv.org
Aim: Early detection and correct diagnosis of lung cancer are the most important steps in
improving patient outcome. This study aims to assess which deep learning models perform …

Comparison of Lung-RADS Version 1.1 and Lung-RADS Version 2022 in Classifying Airway Nodules Detected at Lung Cancer Screening CT

AK DeSimone, SC Byrne, MM Hammer - Radiology: Cardiothoracic …, 2024 - pubs.rsna.org
Purpose To compare the Lung Imaging Reporting and Data System (Lung-RADS) version
1.1 with version 2022 classification of airway nodules detected at lung cancer screening CT …

Overcoming obstacles in pathological diagnosis of pulmonary nodules through circulating tumor cell enrichment

W Yin, J Zhu, B Ma, G Jiang, Y Zhu, W He, Y Yang… - Small, 2020 - Wiley Online Library
With the popularity of low‐dose computed tomography (LDCT) in clinical examination of the
lung, the prevalence of pulmonary nodules has significantly increased, thus significantly …

Lung Cancer Screening in Clinical Practice: A 5-Year Review of Frequency and Predictors of Lung Cancer in the Screened Population

KJ Lafata, C Read, BC Tong, T Akinyemiju… - Journal of the American …, 2024 - Elsevier
Purpose The aims of this study were to evaluate (1) frequency, type, and lung cancer stage
in a clinical lung cancer screening (LCS) population and (2) the association between patient …

3D–2D image registration in the presence of soft-tissue deformation in image-guided transbronchial interventions

R Vijayan, N Sheth, L Mekki, A Lu… - Physics in Medicine …, 2022 - iopscience.iop.org
Purpose. Target localization in pulmonary interventions (eg transbronchial biopsy of a lung
nodule) is challenged by deformable motion and may benefit from fluoroscopic overlay of …

Interpreting Lung Cancer Screening CTs: Practical Approach to Lung Cancer Screening and Application of Lung-RADS

K Jhala, SC Byrne, MM Hammer - Clinics in Chest …, 2024 - chestmed.theclinics.com
Lung cancer is the most common cancer worldwide and the leading cause of cancer-related
deaths in the United States. 1 Late-stage detected cancers have a 5-year survival of 5 …

Historical Perspective on Lung Cancer Screening

HVN Salfity, BC Tong, MR Kocher… - Thoracic Surgery …, 2023 - thoracic.theclinics.com
Lung cancer is the leading cause of cancer-related deaths in the United States. In 2022,
there were an estimated 236,740 new cases and 130,180 deaths. Five-year survival is …