2024 World Conference on Lung Cancer (WCLC) - ePosters-EP.03A.01 Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, Statistics and Simulation of Alive Supersystems.

EP.03A.01 Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, Statistics and Simulation of Alive Supersystems.

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The study discusses utilizing a multifaceted approach combining artificial intelligence, complex system analysis, statistical methods, and simulation modeling to optimize lung cancer management, particularly for non-small cell lung cancer (NSCLC) patients undergoing radical surgery. It analyzed 782 patients who had radical surgery for lung cancer over several decades (1985-2024). The study focused on 5-year survival (5YS) rates and life spans, relating these to various biological and treatment variables.<br /><br />Key findings include:<br />1. The 5YS rate was 73.2%, with 64.8% surviving 10 years and 42.5% surviving 20 years post-surgery. <br />2. The type of surgical procedure impacted survival, with lobectomies having a higher 5YS (78.1%) compared to pneumonectomies (63.7%).<br />3. Adjuvant therapies, including chemoimmunoradiotherapy, improved survival rates, notably among patients with more advanced nodal disease (N1-2 status).<br />4. Survival significantly depended on factors such as cancer type and stage, blood cell counts, biochemical markers, and treatment type.<br />5. Through neural network analysis and other advanced statistical methods, relationships were uncovered that accurately predict outcomes from complex variables.<br /><br />The study suggests that optimal management involves a comprehensive strategy including early detection, skilled surgical intervention, thorough lymph node dissection, and targeted adjuvant therapy. AI and computational models can provide critical insights for tailoring treatment to individual patient profiles, potentially improving outcomes. <br /><br />The research emphasizes the complexity of lung cancer management and the importance of integrating various scientific and technological approaches for better prognostication and treatment planning.

Asset Subtitle

Oleg Kshivets

Meta Tag

Speaker Oleg Kshivets

Topic Tumor Biology – Translational Biology

Keywords

lung cancer management

artificial intelligence

non-small cell lung cancer

radical surgery

5-year survival rates

surgical procedures

adjuvant therapies

neural network analysis

treatment optimization

biological variables