AIMC Topic: Lung Neoplasms

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Comparison of 3D and 4D Monte Carlo optimization in robotic tracking stereotactic body radiotherapy of lung cancer.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
PURPOSE: To investigate the adequacy of three-dimensional (3D) Monte Carlo (MC) optimization (3DMCO) and the potential of four-dimensional (4D) dose renormalization (4DMCrenorm) and optimization (4DMCO) for CyberKnife (Accuray Inc., Sunnyvale, CA) ra...

Large-Scale T-cell Receptor Repertoire Profiling Unveils Tumor-Specific Signals for Diagnosing Indeterminate Pulmonary Nodules.

Cancer research
UNLABELLED: Indeterminate pulmonary nodules (IPN) are increasingly detected due to increasing health awareness and widespread lung cancer screening, yet distinguishing benign from malignant nodules remains a critical challenge. Emerging evidence sugg...

[AI-assisted transformation from single imaging to multi-omics data analysis enhances the precision diagnosis and treatment of lung cancer/lung nodules].

Zhonghua yi xue za zhi
Conventional radiomics approaches are constrained by suboptimal diagnostic performance, limited capacity to characterize molecular heterogeneity within the tumor microenvironment, and insufficient capture of critical biological information regarding ...

Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery.

Talanta
The composition and function of glycans are very complex thus manual data interpretation of their structural elucidation is difficult. Capillary electrophoresis is one of the liquid phase separation techniques, which is most frequently used to addres...

Early Lung Cancer Patient Journey in Singapore: Challenges and Recommendations.

Asia-Pacific journal of clinical oncology
Early detection of lung cancer is crucial for improving survival rates because it allows for potentially curative treatments; however, most lung cancer cases in Singapore are diagnosed at advanced stages. This review article provides an overview of c...

Analyzing factors influencing hospitalization costs for five common cancers in China using neural network models.

Journal of medical economics
BACKGROUND: Malignant tumors are a major global health crisis, causing 25% of deaths in China, with lung, liver, thyroid, breast, and colon cancers being the most common. Understanding the factors influencing hospitalization costs for these cancers i...

Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain.

Journal of medical economics
OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify individuals at high-risk of non-small cell lung cancer (NSCLC) for screening with low-dose computed tomography (LDCT). This study evaluates the cost-effe...