The invention discloses a PCI (
Peripheral Component Interconnect)
drug balloon postoperative effect prediction method, device and equipment based on a multi-
modal image and a storage medium. The method comprises the following steps: firstly, collecting historical preoperative
digital subtraction angiography (DSA) images of a plurality of patients, corresponding intracavitary image data and postoperative effect
label data; further extracting vascular morphological parameters of a
target lesion segment from the DSA image, extracting plaque
microstructure features from the intracavity image, combining the vascular morphological parameters, the plaque
microstructure features, clinical data of a patient and parameters of a
drug balloon instrument into an input
feature vector, and taking postoperative effect
label data as a regression target; training an
ensemble learning regression model; and finally, for a to-be-evaluated patient, acquiring a preoperative DSA image and an intracavity image, extracting features in the same way, inputting the features into the trained model, and outputting an immediate and / or long-term
vasodilation gain prediction value of the patient after the PCI
drug balloon operation so as to improve objectivity and reliability of a DCB preoperative decision.