Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Construction method and prediction method of small liver cancer early recurrence probability prediction model

A technology of probabilistic prediction and construction method, applied in the field of image processing, which can solve problems such as poor prognosis effect

Pending Publication Date: 2021-07-23
THE FIRST AFFILIATED HOSPITAL OF FUJIAN MEDICAL UNIV
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prognosis is still poor even for small HCC patients due to the high incidence of tumor recurrence and metastasis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Construction method and prediction method of small liver cancer early recurrence probability prediction model
  • Construction method and prediction method of small liver cancer early recurrence probability prediction model
  • Construction method and prediction method of small liver cancer early recurrence probability prediction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Various embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so as to better understand the purpose, features and advantages of the present invention. It should be understood that the embodiments shown in the drawings are not intended to limit the scope of the present invention, but only to illustrate the essence of the technical solutions of the present invention.

[0024] In the following description, for the purposes of explaining the various disclosed embodiments, certain specific details are set forth in order to provide a thorough understanding of the various disclosed embodiments. One skilled in the relevant art will recognize, however, that an embodiment may be practiced without one or more of these specific details. In other instances, well-known devices, structures and techniques associated with the present application may not have been shown or described in detail in order to avoid unnecessarily...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention provides a construction method and a prediction method of a small liver cancer early recurrence probability prediction model, and relates to the technical field of image processing. The construction method of the small liver cancer early recurrence probability prediction model comprises the following steps: based on medical image data of a plurality of objects, obtaining a radiomics score of each object; selecting a plurality of independent prediction factors related to the early recurrence of the small liver cancer from the image features, the clinical features and the radiomics scores; and constructing a combined model by using the plurality of independent prediction factors, and establishing a small liver cancer early recurrence probability prediction model based on the combined model. According to the method, the postoperative early recurrence probability of the small liver cancer patient can be predicted before the operation, and the prediction result can be used as a reference for a doctor to optimize a treatment scheme when the doctor formulates the treatment scheme, so that the postoperative early recurrence probability of the small liver cancer patient is reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for constructing and predicting a small liver cancer early recurrence probability prediction model. Background technique [0002] With the development of medical imaging devices and the advancement of diagnostic techniques, more and more small liver cancers (tumors with a diameter less than or equal to three centimeters) can be detected at an early stage. Liver resection and radiofrequency ablation are common treatments for most small HCCs. However, due to the high probability of tumor recurrence and metastasis, even for small HCC patients, the prognosis is still poor. [0003] If the probability of early recurrence of small liver cancer can be predicted before surgery, it will be of great significance for doctors to optimize the treatment plan for patients. Contents of the invention [0004] The purpose of the present invention is to provide a method for co...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G16H50/20G16H50/70G06T7/00G06T7/40
CPCG16H50/20G16H50/70G06T7/0012G06T7/40G06T2207/30056G06T2207/30096
Inventor 李跃明朱月珉温丽婷严川叶榕平周丽丽陈晓洁高兰梅
Owner THE FIRST AFFILIATED HOSPITAL OF FUJIAN MEDICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products