2023 World Conference on Lung Cancer (Posters)-EP03.05. Non-Small Cell Lung Cancer: Artificial Intelligence, Complex System Analysis and Computer Simulation for Best Management.

EP03.05. Non-Small Cell Lung Cancer: Artificial Intelligence, Complex System Analysis and Computer Simulation for Best Management. - PDF(Abstract)

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This abstract presents a study on the management of non-small cell lung cancer (NSCLC) using artificial intelligence, complex system analysis, and computer simulation. The study analyzed data from 772 NSCLC patients who underwent radical surgery and were monitored over a period of nearly four decades. The variables studied included blood parameters, sex, age, tumor size, and other factors.<br /><br />The results showed that the overall life span of the patients was 2244.1 days, with a 5-year survival rate of 73%. Patients who underwent bi/lobectomies had a significantly higher 5-year survival rate compared to those who underwent pneumonectomies (77.7% vs. 63.4%). Adjuvant chemoimmunoradiotherapy improved the 5-year survival rate for patients with N1-2 stage cancer.<br /><br />Regression modeling, clustering, Monte Carlo simulation, and neural networks were used to determine significant factors affecting the survival rate. The study found that the 5-year survival rate significantly depended on factors such as the phase transition from early to invasive cancer, lymph node involvement, cell ratio factors, histology, glucose levels, and blood cell circuit parameters.<br /><br />Genetic algorithm selection and bootstrap simulation revealed the relationships between the survival rate and various factors, such as the phase transition, thrombocyte count, eosinophil count, and other blood cell subpopulations.<br /><br />Ultimately, the study concluded that the best management approach for NSCLC included screening and early detection, access to experienced thoracic surgeons, aggressive en block surgery, adequate lymph node dissection, precise prediction of prognosis, and adjuvant chemoimmunoradiotherapy for patients with a high risk of recurrence.<br /><br />In summary, this study highlights the importance of using artificial intelligence and complex system analysis to improve the management and prediction of outcomes in NSCLC patients undergoing radical surgery.

Asset Subtitle

Oleg Kshivets

Meta Tag

Speaker Oleg Kshivets

Topic Tumor Biology: Translational Biology - Omics and New Technologies

Keywords

non-small cell lung cancer

NSCLC

artificial intelligence

complex system analysis

computer simulation

radical surgery

blood parameters

tumor size

5-year survival rate

adjuvant chemoimmunoradiotherapy