Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external …

J He, B Wang, J Tao, Q Liu, M Peng, S Xiong… - The Lancet Digital …, 2023 - thelancet.com
Background There is an unmet clinical need for accurate non-invasive tests to facilitate the
early diagnosis of lung cancer. We propose a combined model of clinical, imaging, and cell …

Update on biomarkers for the stratification of indeterminate pulmonary nodules

R Paez, MN Kammer, NT Tanner, S Shojaee… - Chest, 2023 - Elsevier
Lung cancer is the leading cause of cancer-related deaths. Early detection and diagnosis
are critical, as survival decreases with advanced stages. Approximately 1.6 million nodules …

[PDF][PDF] Development and multicenter validation of a novel radiomics-based model for identifying eosinophilic chronic rhinosinusitis with nasal polyps

KZ Zhu, C He, Z Li, PJ Wang, SX Wen, KX Wen… - …, 2023 - researchgate.net
Background: Reliable noninvasive methods are needed to identify endotypes of chronic
rhinosinusitis with nasal polyps (CRSwNP) to facilitate personalized therapy. Previous …

Screening approaches for lung cancer by blood-based biomarkers: Challenges and opportunities

D van den Broek, HJM Groen - Tumor Biology, 2024 - content.iospress.com
Lung cancer (LC) is one of the leading causes for cancer-related deaths in the world,
accounting for 28% of all cancer deaths in Europe. Screening for lung cancer can enable …

Predicting Tumor Mutation Burden and EGFR Mutation Using Clinical and Radiomic Features in Patients with Malignant Pulmonary Nodules

W Yin, W Wang, C Zou, M Li, H Chen, F Meng… - Journal of Personalized …, 2022 - mdpi.com
Pulmonary nodules (PNs) shown as persistent or growing ground-glass opacities (GGOs)
are usually lung adenocarcinomas or their preinvasive lesions. Tumor mutation burden …

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model

R Gao, T Li, Y Tang, K Xu, M Khan, M Kammer… - Computers in biology …, 2022 - Elsevier
Objective Patients with indeterminate pulmonary nodules (IPN) with an intermediate to a
high probability of lung cancer generally undergo invasive diagnostic procedures. Chest …

Improving malignancy risk prediction of indeterminate pulmonary nodules with imaging features and biomarkers

HN Marmor, L Jackson, S Gawel, M Kammer… - Clinica Chimica …, 2022 - Elsevier
Background Non-invasive biomarkers are needed to improve management of indeterminate
pulmonary nodules (IPNs) suspicious for lung cancer. Methods Protein biomarkers were …

Multi-Omic Biomarkers Improve Indeterminate Pulmonary Nodule Malignancy Risk Assessment

KJ Lastwika, W Wu, Y Zhang, N Ma, M Zečević… - Cancers, 2023 - mdpi.com
Simple Summary Indeterminate pulmonary nodules detected by computer tomography are a
common clinical finding, but the path to determine malignancy can cause harm to patients …

A lung cancer risk warning model based on tongue images

Y Shi, D Guo, Y Chun, J Liu, L Liu, L Tu, J Xu - Frontiers in Physiology, 2023 - frontiersin.org
Objective: To investigate the tongue image features of patients with lung cancer and benign
pulmonary nodules and to construct a lung cancer risk warning model using machine …

Radiomics and clinical data for the diagnosis of incidental pulmonary nodules and lung cancer screening: radiolung integrative predictive model

S Baeza, D Gil, C Sanchez, G Torres… - Archivos de …, 2024 - Elsevier
Introduction Early diagnosis of lung cancer (LC) is crucial to improve survival rates.
Radiomics models hold promise for enhancing LC diagnosis. This study assesses the …