Update on biomarkers for the stratification of indeterminate pulmonary nodules
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 …
are critical, as survival decreases with advanced stages. Approximately 1.6 million nodules …
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 …
accounting for 28% of all cancer deaths in Europe. Screening for lung cancer can enable …
Circulating proteome for pulmonary nodule malignancy
E Khodayari Moez, MT Warkentin… - JNCI: Journal of the …, 2023 - academic.oup.com
Background Although lung cancer screening with low-dose computed tomography is rolling
out in many areas of the world, differentiating indeterminate pulmonary nodules remains a …
out in many areas of the world, differentiating indeterminate pulmonary nodules remains a …
Identification of pulmonary adenocarcinoma and benign lesions in isolated solid lung nodules based on a nomogram of intranodal and perinodal CT radiomic features
L Yi, Z Peng, Z Chen, Y Tao, Z Lin, A He, M Jin… - Frontiers in …, 2022 - frontiersin.org
To develop and validate a predictive model based on clinical radiology and radiomics to
enhance the ability to distinguish between benign and malignant solitary solid pulmonary …
enhance the ability to distinguish between benign and malignant solitary solid pulmonary …
Radiomics and clinical data for the diagnosis of incidental pulmonary nodules and lung cancer screening: radiolung integrative predictive model
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 …
Radiomics models hold promise for enhancing LC diagnosis. This study assesses the …
The Thoracic Research Evaluation and Treatment 2.0 model: a lung cancer prediction model for indeterminate nodules referred for specialist evaluation
Background Appropriate risk stratification of indeterminate pulmonary nodules (IPNs) is
necessary to direct diagnostic evaluation. Currently available models were developed in …
necessary to direct diagnostic evaluation. Currently available models were developed in …
Combining ultrasound radiomics, complete blood count, and serum biochemical biomarkers for diagnosing intestinal disorders in cats using machine learning
PS Basran, N Shcherban, M Forman… - Veterinary Radiology …, 2023 - Wiley Online Library
This retrospective analytical observational cohort study aimed to model and predict the
classification of feline intestinal diseases from segmentations of a transverse section from …
classification of feline intestinal diseases from segmentations of a transverse section from …
[HTML][HTML] Genetic susceptibility loci of lung cancer are associated with malignant risk of pulmonary nodules and improve malignancy diagnosis based on CEA levels
Z Li, L Lu, Y Deng, A Zhuo, F Hu, W Sun… - Chinese Journal of …, 2023 - ncbi.nlm.nih.gov
Objective The heightened prevalence of pulmonary nodules (PN) has escalated its
significance as a public health concern. While the precise identification of high-risk PN …
significance as a public health concern. While the precise identification of high-risk PN …
Potential for trans-pulmonary tumor markers in the early diagnosis of lung cancer: a case report
K Monahan, M Kammer, YR Su, W Iams… - BMC Pulmonary …, 2024 - Springer
Background Measurement of tumor markers from peripheral venous blood is an emerging
tool to assist in the early diagnosis of lung cancer. Samples from the pulmonary artery and …
tool to assist in the early diagnosis of lung cancer. Samples from the pulmonary artery and …
Value of CT examination combined with serum tumor markers assisted with artificial intelligence diagnostic system in the diagnosis of benign and malignant …
W Fan, H Liu, Y Zhang, X Chen, M Huang, B Xu - Soft Computing, 2023 - Springer
The objective is to explore the value of artificial intelligence (AI) diagnostic system-assisted
CT examination combined with serum tumor markers in the diagnosis of benign and …
CT examination combined with serum tumor markers in the diagnosis of benign and …