This application relates to the field of medical
image processing technology, and discloses a method,
system, device, and medium for predicting tumor status, including: acquiring a set of CT images of the lungs of a target object during the current
respiratory cycle; constructing a three-dimensional tumor model of the
lung tumor based on the CT image set; the
lung tumor has a real volume and real
centroid coordinates; performing finite
element analysis to obtain a finite element tumor model, calculating the simulated volume and simulated
centroid coordinates of the
lung tumor; comparing and obtaining the volume
retention ratio and
centroid offset; predicting the motion state of the
lung tumor in the next
respiratory cycle to obtain the initial motion state parameters of the
lung tumor in the next
respiratory cycle; if the motion
state prediction quality of the
lung tumor meets the preset motion
state prediction quality based on the volume
retention ratio and centroid offset, then the initial motion state parameters are used as the target motion state parameters to predict the motion state of the lung tumor, thereby improving the accuracy and
correctness of radiotherapy.