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CN-122025148-A - Diabetes foot patient path management method and system based on lower limb vascular lesion classification

CN122025148ACN 122025148 ACN122025148 ACN 122025148ACN-122025148-A

Abstract

The application belongs to the technical field of clinical path management of diabetic foot, and discloses a path management method and a system of diabetic foot patients based on lower limb vascular lesion classification, wherein the method comprises the steps of firstly establishing a corresponding relation between a plantar perfusion region and a blood supply artery segment, and mapping ulcer positions to the corresponding perfusion region and the artery segment to generate ulcer space characteristics; the blood supply risk score of the perfusion region is calculated by combining blood vessel image detection data and microcirculation detection data to generate a space risk map, time sequence data comprising an ulcer index, an infection index, a blood supply index and the space risk map are collected to predict the future disease course progress speed and the risk grade of the ulcer, and finally an individuation path management scheme is generated through a combined trigger rule according to the blood supply risk score and the disease course prediction result. The application realizes the accurate and dynamic management of the diabetic foot ulcer, and is beneficial to improving the healing rate and reducing the recurrence rate and the medical cost.

Inventors

  • Chu Xinqiang
  • SU KUN
  • ZHANG YA

Assignees

  • 河北省中医院(河北中医药大学第一附属医院、河北省青少年儿童脊柱侧弯防控中心)

Dates

Publication Date
20260512
Application Date
20260320

Claims (10)

  1. 1. A method for managing paths of diabetic foot patients based on lower limb vascular lesion classification, comprising the steps of: mapping the position information of the diabetic foot ulcer of the patient to the corresponding plantar perfusion region and the blood supply artery segment to generate the ulcer space characteristics; Calculating a blood supply risk score of the plantar perfusion region according to the blood vessel image detection data and the microcirculation detection data of the blood supply artery segment, and generating a space risk map; Collecting time series data of the patient, wherein the time series data at least comprises ulcer index data, infection index data, blood supply index data and the space risk map; And triggering corresponding path management nodes according to the blood supply risk score of the plantar perfusion region, the future disease course progress speed and the risk grade, and generating an individualized path management scheme.
  2. 2. The method of claim 1, wherein mapping the location information of the patient's diabetic foot ulcer to their corresponding plantar perfusion areas and blood supply artery segments comprises: The method comprises the steps of receiving the position information input by text description or structured fields, carrying out standardization processing on the position information to obtain a standardized perfusion region identifier, and inquiring the corresponding relation between a predefined perfusion region and a blood supply artery segment according to the standardized perfusion region identifier to obtain the blood supply artery segment information.
  3. 3. A method of managing a path of a diabetic foot patient based on lower limb vascular lesion classification as recited in claim 2 wherein: And calculating blood supply risk scores of the plantar perfusion areas by adopting a weighted calculation mode, wherein parameters according to which weighted calculation is performed comprise arterial stenosis degree, occlusion length, calcification degree and distal reflux classification in the blood vessel image detection data, and at least one microcirculation index in the microcirculation detection data.
  4. 4. A method of managing a path of a diabetic foot patient based on lower extremity vasculopathy grading as set forth in claim 3, wherein: And generating a space risk map, namely arranging blood supply risk scores of all plantar perfusion areas according to a preset sequence to form space vectors representing ischemia risk distribution of all plantar areas.
  5. 5. The method for managing paths of diabetic foot patients based on lower limb vascular lesion classification according to claim 4, wherein: A future disease progression rate and a risk level of the diabetic foot ulcer are predicted based on a time series prediction model, inputs to the time series prediction model including the spatial risk map vector, the ulcer index data, the infection index data, the blood supply index data, and a treatment event code.
  6. 6. A method of managing a path of a diabetic foot patient based on lower limb vascular lesion classification as recited in claim 1 wherein: Triggering corresponding path management nodes to execute according to a preset joint triggering rule, wherein the joint triggering rule determines the triggered path management nodes and the priority thereof according to the combination condition of the blood supply risk level of the plantar perfusion region and the risk level of the future course progress speed.
  7. 7. A diabetic foot patient path management system based on lower limb vascular lesion classification, comprising: The system comprises a space feature mapping module, a patient diabetic foot ulcer position information processing module and a patient diabetic foot ulcer position information processing module, wherein the space feature mapping module is used for establishing the plantar perfusion region division and the corresponding relation with the blood supply artery segment; The risk assessment module calculates blood supply risk scores of the plantar perfusion areas according to the blood vessel image detection data and the microcirculation detection data of the blood supply artery segments, and generates a space risk map; The disease course prediction module is used for collecting time series data of the patient, wherein the time series data at least comprises ulcer index data, infection index data, blood supply index data and the space risk map; and the path generation module triggers corresponding path management nodes according to the blood supply risk score of the plantar perfusion region, the future disease course progress speed and the risk grade, and generates an individuation path management scheme.
  8. 8. An electronic device, the electronic device comprising: and a memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 6.
  9. 9. A computer readable storage medium having stored thereon computer program instructions executable by a processor to implement the method of any of claims 1 to 6.
  10. 10. A computer program product comprising a computer program which, when executed by a processor, implements the method of any one of claims 1 to 6.

Description

Diabetes foot patient path management method and system based on lower limb vascular lesion classification Technical Field The application relates to the technical field of clinical path management of diabetic feet, in particular to a path management method and system for diabetic foot patients based on lower limb vascular lesion classification. Background Diabetic foot is one of the common serious complications of diabetes, with the central objective of clinical management being to promote ulcer healing, reduce recurrence rate and amputation risk. In the current clinical path management of diabetes, a plurality of technical problems still need to be solved, and the treatment accuracy and the resource utilization efficiency are seriously affected. The existing path management is formulated only according to macroscopic indexes such as Wagner classification, texas classification or infection degree, and the like, and a systematic mapping relation between the ulcer position and the plantar artery blood supply region is not established. Because the occurrence of diabetic foot ulcers has obvious spatial distribution characteristics, the diabetic foot ulcers are often concentrated on the positions of plantar pressure points, blood supply weak areas and the like, the prognosis difference of the ulcers of the same grade is obvious at different positions, and partial postoperative vascular recanalization of patients is successful but the ulcers are still difficult to heal, or the ulcers of the same area repeatedly recur, and the core reason is that key blood supply arterial segments are not evaluated and interfered in a targeted manner. Meanwhile, the existing path lacks dynamic prediction dimension for the progress speed of the disease course, and a fixed period follow-up mode is adopted in most cases. The disease course heterogeneity of the diabetic foot patients is extremely strong, part of the patients are rapidly enlarged in the short term and are infected seriously, emergency intervention treatment is needed, fixed follow-up visit is easy to delay the intervention time, part of the patients are stable or slowly improved in disease condition, and excessive examination and frequent follow-up visit cause medical resource waste and increase of the burden of the patients. In addition, the ulcer position and blood supply state determine the ischemia risk, the disease progress speed reflects the dynamic change trend of the disease condition, the ulcer position and blood supply state are closely related, the path decision is difficult to match the disease condition of the individual patient in the prior art, and the further improvement of the treatment effect of the diabetic foot is restricted. Disclosure of Invention In view of the above, the present application provides a method and a system for managing paths of diabetic foot patients based on lower limb vascular lesion classification, so as to at least partially solve the above technical problems. The application provides a method for managing paths of diabetic foot patients based on lower limb vascular lesion classification, which comprises the following steps: mapping the position information of the diabetic foot ulcer of the patient to the corresponding plantar perfusion region and the blood supply artery segment to generate the ulcer space characteristics; Calculating a blood supply risk score of the plantar perfusion region according to the blood vessel image detection data and the microcirculation detection data of the blood supply artery segment, and generating a space risk map; Collecting time series data of the patient, wherein the time series data at least comprises ulcer index data, infection index data, blood supply index data and the space risk map; And triggering corresponding path management nodes according to the blood supply risk score of the plantar perfusion region, the future disease course progress speed and the risk grade, and generating an individualized path management scheme. In one possible embodiment, mapping the position information of the diabetic foot ulcer of the patient to the corresponding plantar perfusion region and the blood supply artery segment comprises receiving the position information input in a text description or a structural field, carrying out standardization processing on the position information to obtain a standardized perfusion region identifier, and inquiring the corresponding relation between a predefined perfusion region and the blood supply artery segment according to the standardized perfusion region identifier to obtain the blood supply artery segment information. In one possible embodiment, the calculation of the blood supply risk score of the plantar perfusion region adopts a weighted calculation mode, and parameters based on the weighted calculation include arterial stenosis, occlusion length, calcification degree, distal reflux classification in the blood vessel image detection data and at least one micr