Abdominal aortic aneurysm progression prediction method and system based on cross-modal knowledge distillation

By employing cross-modal knowledge distillation technology, combined with blood protein fingerprint biomarkers and imaging/pathological features, accurate prediction of abdominal aortic aneurysms was achieved. This solves the problem of existing technologies being unable to quantify and predict the development of abdominal aortic aneurysms, and provides an efficient and reliable risk assessment method.

CN120809238BActive Publication Date: 2025-12-09SHANGHAI NINTH PEOPLES HOSPITAL SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
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Patent Information

Application Number
CN202511277403.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-09
Publication Date
2025-12-09
Estimated Expiration
2045-09-09

AI Technical Summary

Technical Problem

Current technology lacks effective methods to quantify and predict the development of abdominal aortic aneurysms, resulting in the inability to intervene in a timely manner and prevent life-threatening consequences from rupture.

Method used

An abdominal aortic aneurysm progression prediction method based on cross-modal knowledge distillation was adopted. By collecting blood samples and detecting blood protein fingerprint markers, combined with CTA imaging features and pathological slide features, Student-net was used to calculate the risk and output the abdominal aortic aneurysm risk level and the probability of three types of events within a preset year.

Benefits of technology

It enables non-invasive, low-cost, and highly repeatable dynamic monitoring, improving patient compliance and screening/monitoring frequency. Its predictive accuracy is far higher than traditional models trained solely on blood data, approaching the gold standard using multimodal data, and supports rapid, real-time bedside or laboratory risk assessment.

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Abstract

The application discloses a kind of abdominal aortic aneurysm progression prediction method and system based on cross-modal knowledge distillation, by collecting the blood of target object;The blood of target object is detected by blood protein fingerprint marker concentration, and blood protein fingerprint marker includes matrix metalloproteinase-12, calcitonin related polypeptide-alpha, urine regulator, nerve injury induced protein-1, glycosylated hemoglobin A1c, fibroblast growth factor-9;Based on blood protein fingerprint marker concentration, Student-net of cross-modal knowledge distillation is called to calculate abdominal aortic aneurysm risk;Wherein, the input of Teacher-net of cross-modal knowledge distillation includes CTA image feature and pathological section feature, and the category probability vector output by Student-net is aligned with the category probability vector output by Teacher-net;Output abdominal aortic aneurysm risk grade and preset year abdominal aortic aneurysm occurrence / progression / rupture three event probability.Precise prediction is carried out to the development of aortic aneurysm disease.
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