2024 World Conference on Lung Cancer (WCLC) - ePosters-EP.08E.08 Local Advanced Lung Cancer: Artificial Intelligence, Complex System Analysis, Simulation of Alive Supersysems for Optimal Management

EP.08E.08 Local Advanced Lung Cancer: Artificial Intelligence, Complex System Analysis, Simulation of Alive Supersysems for Optimal Management

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The study explores optimal management strategies for locally advanced lung cancer (LC) using artificial intelligence and complex system analysis to aid in precise prediction of 5-year survival (5YS) after radical surgeries. Conducted on a cohort of 198 patients from 1985 to 2024, the research assesses factors influencing survival post-radical lung surgeries, including lobectomies and pneumonectomies, often requiring resection of vital structures such as the trachea and diaphragm.<br /><br />Several significant factors affecting survival include phase transition from N0 to N12, tumor characteristics, cell dynamics, and various blood cell and biochemical indicators. Adjuvant therapies (AT), including chemoimmunoradiotherapy, were noted to markedly improve survival rates to 68% compared to 53.7% for surgery alone.<br /><br />The study utilized sophisticated modeling techniques such as multivariate Cox models, clustering, Monte Carlo simulations, and neural networks to analyze data and predict outcomes. The results underscored the importance of aggressive en block surgery with comprehensive lymph node dissection performed by highly experienced thoracic surgeons.<br /><br />Key findings showed that survival significantly hinges on specific patient factors and surgical interventions, including the extent of phase transition, blood cell ratios, and adjuvant treatments. Survival rates were notably higher in patients receiving comprehensive treatment with a 5YS of 74.5% for those undergoing AT, compared to 55% for surgery alone.<br /><br />The research highlights the potential of AI tools in making accurate predictions, demonstrating a 100% accurate 5YS prediction via neural networks. This suggests the efficacy of advanced computational methods in guiding treatment strategies and improving survival outcomes in patients with advanced lung cancer.<br /><br />Overall, the study illustrates the critical role of precise prediction and targeted, aggressive surgical and adjuvant strategies in extending life expectancy for patients with advanced stages of lung cancer.

Asset Subtitle

Oleg Kshivets

Meta Tag

Speaker Oleg Kshivets

Topic Local-Regional Non-small Cell Lung Cancer

Keywords

lung cancer

artificial intelligence

5-year survival

radical surgeries

adjuvant therapies

neural networks

multivariate Cox models

Monte Carlo simulations

thoracic surgeons

survival prediction