Revolutionizing cervical cancer care: the synergistic effects of hyperthermia and machine learning
This study aimed to examine the impact of hyperthermia in conjunction with concurrent chemoradiotherapy (CCRT) on peripheral immune markers in patients with locally advanced cervical cancer (LACC). Additionally, we sought to predict the associations between these validated immune markers and the efficacy of hyperthermia by employing a developed and optimized machine learning model. Sixty LACC patients were enrolled, with 30 in the observation group receiving CCRT plus hyperthermia and 30 in the control group receiving CCRT alone. Data on complete blood counts; T lymphocyte subsets (CD3 The study showed that there was no statistical difference in 2-years PFS ( The combination of hyperthermia with CCRT alleviates the suppression of peripheral immune indicators, modulates immune function, and improves the systemic immune microenvironment in LACC patients. The RF and MLP models, which are based on dynamic peripheral immune indicators, exhibit robust performance in predicting hyperthermia efficacy.