The invention discloses a method for evaluating
sepsis lung injury by detecting the crosslinking degree of type VI collagen, and relates to the technical field of
medical diagnosis and monitoring. The method at least comprises the following steps: S1, firstly, carrying out
sample collection and multi-index detection; s2, performing
imaging feature extraction, and automatically identifying
fine structure changes in the
chest CT image by using a
deep learning algorithm; and S3, based on the
feature extraction in the S2, establishing a corresponding
quality control algorithm, a basic damage scoring model, a dynamic progress prediction model and a comprehensive
risk assessment model. The accurate, early-stage and dynamic
sepsis lung injury assessment method is provided through multi-dimensional biomarker detection, iconography
feature extraction and a dynamic
algorithm model, the early diagnosis rate of
sepsis lung injury can be remarkably improved, the
disease progress can be effectively monitored, the
treatment effect can be effectively assessed, and the application prospect is wide. The method has remarkable clinical application prospects and
economic benefits, and particularly has important value in
intensive care and formulation of
personalized treatment schemes.