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

Method for predicting biochemical recurrence risk after prostatic cancer radical operation by MRI (magnetic resonance imaging) image

A prostate cancer and biochemical technology, applied in the field of computer medicine, to avoid side effects, optimize treatment plans, and ensure reliability

Inactive Publication Date: 2022-03-01
冯朝燕
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Studies have shown that due to the huge racial differences in clinical characteristics between the Eastern and Western populations, the Chinese population has higher PSA levels and Gleason scores, and these models are not applicable to the Chinese population

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
  • Method for predicting biochemical recurrence risk after prostatic cancer radical operation by MRI (magnetic resonance imaging) image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] like figure 1 As shown, the present invention provides a technical solution: MRI imaging method for predicting the risk of biochemical recurrence after radical prostatectomy, comprising the following steps:

[0038] S1. Collection of prostate cancer cases:

[0039] Firstly, the MRI data and clinical data of no less than 300 radical prostatectomy patients need to be collected retrospectively according to the inclusion criteria, of which 200 patients are...

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 invention relates to the technical field of computer medicine, and discloses a method for predicting a biochemical recurrence risk after a radical prostatic cancer operation through an MRI image, and the method comprises the following steps: S1, collection and arrangement of prostatic cancer cases: firstly, carrying out the retrospective collection and arrangement of MRI data and clinical data of at least 300 patients subjected to the radical prostatic cancer operation according to a group entering standard, wherein 200 patients are used for constructing a radiomics model, and 100 patients are used for verifying and optimizing the radiomics model; according to the method, a retrospective and prospective combined mode is innovatively adopted, the optimized image group student recurrence prediction model is constructed and verified on the basis of a large number of prostate cancer cases which are collected in the past and are subjected to standardized scanning, and the accuracy of the model is tested by using prostate cancer radical cases collected prospectively, so that the reliability of the model is ensured. Meanwhile, retrospective and prospective data are creatively applied in the research, and the stability and repeatability of image features are evaluated by adopting multiple methods.

Description

technical field [0001] The invention relates to the technical field of computer medicine, in particular to a method for predicting biochemical recurrence risk after radical prostatectomy with MRI images. Background technique [0002] Prostate cancer is one of the most common and fatal cancers in the world. According to statistics from the American Cancer Society, among all male cancer patients, the incidence of prostate cancer will occupy the first place in 2018, and the death rate will be the second. In China, there were approximately 60,300 new prostate cancer patients and 26,600 prostate cancer deaths in 2015. Since 2000, this data has been rising at an annual rate of 12.6%. Prostate cancer is one of the malignant tumors that seriously threaten the life and health of Chinese men. [0003] Biochemical recurrence means that PSA reaches 0.2ng / ml for two consecutive times after radical prostatectomy, which indicates that the possibility of clinical recurrence or metastasis ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/00G16H50/20G16H10/60
CPCG16H30/00G16H50/20G16H10/60
Inventor 冯朝燕闵祥德张配配
Owner 冯朝燕
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com