The invention discloses a construction method of an ALS prognosis model based on
chest CT skeletal muscle quantitative parameters. The method comprises the following steps: firstly, performing regular follow-up visit on an ALS
receptor which is clearly diagnosed; imageJ
software is used for quantifying
skeletal muscle area / index / attenuation values (SMD / SMD / SMI) and paravertebral
muscle area / attenuation values (PMA / PMD) of the first
lumbar vertebra (L1) level of
chest CT of all receptors and performing inter-group
difference analysis, and it is found that the consistency of L1SMA / SMD / SMI / PMA / PMD of an ALS
receptor group is reduced along with staging progress. According to the method, an ALS
death risk prediction model is constructed through a single-factor and multi-factor COX proportional
risk model, and a column diagram is drawn, so that L1SMA (HR is equal to 0.96, 95% CI is equal to 0.94-0.98, p is equal to 0.001), L1SMD (HR is equal to 0.92, 95% CI is equal to 0.88-0.96, plt; 0.001) and L1PMA (HR = 1.06, 95% CI = 1.01-1.11, plt; 0.022) significantly influences the
survival rate of ALS, and areas under curves (AUC) of one-year survival prediction and three-year survival prediction are 0.687 and 0.851 respectively.