Method and equipment for predicting postoperative biochemical relapse of prostate cancer patient

A technology for prostate cancer and patients, which is applied in the field of predicting biochemical recurrence of prostate cancer patients after surgery, can solve the problems of not necessarily accurate prediction, and achieve the effects of improved prediction accuracy, high prediction efficiency, and high prediction accuracy

Pending Publication Date: 2021-08-20
WEST CHINA HOSPITAL SICHUAN UNIV
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome at least to a certain extent the problem of predicting biochemical recurrence in prostate cancer patients postoperatively that requires doctors to have a certain professional level and the prediction is not necessarily accurate, this application provides a method for predicting postoperative biochemical recurrence in prostate cancer patients Methods and equipment

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 and equipment for predicting postoperative biochemical relapse of prostate cancer patient
  • Method and equipment for predicting postoperative biochemical relapse of prostate cancer patient
  • Method and equipment for predicting postoperative biochemical relapse of prostate cancer patient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0044] A method for predicting postoperative biochemical recurrence in patients with prostate cancer, referring to figure 1 ,include:

[0045] S11: Obtain clinicopathological data of prostate cancer patients; clinicopathological data at least include: existence of IDC-P, age, NCCN standard prostate cancer risk classification and clinical T stage;

[0046] In this embodiment, the acquir...

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 a method and equipment for predicting postoperative biochemical relapse of a prostate cancer patient. The method comprises the following steps: acquiring clinical pathological data of the prostate cancer patient, wherein the clinical pathology data at least comprise existence of IDC-P, age, NCCN standard prostate cancer risk classification and clinical T stage, and the clinical pathology data has certain correlation with the probability of biochemical recurrence of the prostate cancer patient. According to the clinical pathology data of the prostate cancer patient, based on a pre-trained prognosis model, a prediction probability of biochemical recurrence of the prostate cancer patient within a preset time is obtained. Prediction is performed through the prognosis model, compared with physicians, the prediction efficiency is higher, the prediction accuracy of the prognosis model can be continuously improved along with increase of sample data, and the prediction accuracy is higher compared with the physicians.

Description

technical field [0001] The present application relates to the technical field of prognostic evaluation of prostate cancer patients, in particular to a method and equipment for predicting postoperative biochemical recurrence of prostate cancer patients. Background technique [0002] Surgical treatment (radical prostatectomy) is the standard of care for patients with localized prostate cancer; however, patients after radical prostatectomy may experience biochemical recurrence and subsequent disease progression. Predicting the probability of biochemical recurrence in patients can guide clinical decision-making, thereby further improving patient prognosis. Specifically, avoiding over-treatment may be considered for patients with a low predicted probability of biochemical recurrence, and more aggressive treatment should be used as much as possible for patients with a high predicted probability of biochemical recurrence to delay disease progression. In the prior art, doctors gene...

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): G16H50/30G06Q10/06G06Q10/04
CPCG16H50/30G06Q10/04G06Q10/0635
Inventor 曾浩沈朋飞赵劲歌孙光曦朱莎
Owner WEST CHINA HOSPITAL SICHUAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap