1\. Construction of PSMA PET whole-body tumor burden classification:
1. Assessment of whole-body tumor burden on PSMA PET/CT images of mHSPC patients before new endocrine therapy.
2. PSMA PET/CT imaging evaluation of treatment response of the first three months after start of new endocrine therapy.
3. Based on the response results, the optimal threshold for whole-body tumor burden is obtained through ROC curve analysis, and a preliminary classification of whole-body tumor burden is obtained.
Verification 1: Follow up preliminary verification/improvement of this subtype Verification 2: External verification, reverifying the predictive performance of typing through the verification cohort.
2\. Construction of multivariable predictive model for mHSPC patients with novel endocrine therapy:
1. Molecular imaging parameter measurement and collection of PSMA PET/CT images of mHSPC patients of 3 months after the start of new endocrine therapy.
2. Complete pre-treatment genetic testing, dynamic evaluation of serum PSA before and after treatment, and collection of clinical and pathological information.
3. Based on follow-up results, construct a multi factor model, screen significant factors, and achieve a predictive model for novel endocrine therapy in mHSPC patients Verification: External verification, verifying the predictive performance of the model through the verification cohort.
