Cervical cancer postoperative survival prediction method, system and device and medium

A technology for survival prediction and cervical cancer, which is applied in the medical field to achieve the effect of improving accuracy, rigorous algorithm, and accurate prediction

Pending Publication Date: 2020-09-08
SHANDONG UNIV QILU HOSPITAL
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] For patients with early-stage cervical cancer who only have pathological intermediate risk factors, after surgery, the choice of follow-up adjuvant therapy is still controversial

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
  • Cervical cancer postoperative survival prediction method, system and device and medium
  • Cervical cancer postoperative survival prediction method, system and device and medium
  • Cervical cancer postoperative survival prediction method, system and device and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0079] (1) Patient inclusion criteria:

[0080] 1. Early stage cervical cancer patients with preoperative clinical stage FIGOIA1-IIA2;

[0081] 2. Surgical treatment is the preferred treatment option, and no neoadjuvant chemotherapy or radiotherapy has been performed before surgery;

[0082] 3. The surgical method is: extensive hysterectomy + pelvic lymph node dissection.

[0083] 4. The postoperative follow-up time is at least 3 years.

[0084] (2) Patient exclusion criteria:

[0085] 1. Postoperative pathological results include three pathological high-risk factors: lymph node metastasis, parametrial invasion, and positive surgical margin;

[0086] 2. Not combined with other primary malignant tumors at the same time;

[0087] (3) Number of patients enrolled: more than 500 cases.

[0088] (4) Patient grouping: The above-mentioned patients were randomly divided into a modeling group and a verification group in a ratio of 3:1.

[0089] (5) Collection of clinical data used...

Embodiment 2

[0101] A system for predicting postoperative survival of cervical cancer, said system comprising:

[0102] Clinical data acquisition and processing module: acquire clinical data of postoperative patients with cervical cancer and perform preprocessing;

[0103] Risk factor screening module: take the postoperative overall survival (OS) of the patient as the outcome, and perform LASSO analysis on the above-mentioned processed clinical data to obtain risk factors;

[0104] Model construction module: Taking the overall survival (OS) of patients as the outcome, the multivariate Cox regression analysis was used to construct a prediction model for the screened risk factors.

[0105] Among them, in the clinical data acquisition and processing module,

[0106] The clinical data of postoperative patients with cervical cancer include but are not limited to age, pregnancy and childbirth history, HPV type, FIGO stage, operation method, postoperative pathology and adjuvant treatment plan. ...

Embodiment 3

[0113] An electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are run by the processor, each operation in the method of Embodiment 1 is completed. For brevity, here No longer.

[0114] Described electronic device can be mobile terminal and non-mobile terminal, and non-mobile terminal comprises desktop computer, and mobile terminal comprises smart phone (Smart Phone, such as Android mobile phone, IOS mobile phone etc.), smart glasses, smart watch, smart bracelet, tablet computer , laptops, personal digital assistants and other mobile Internet devices that can communicate wirelessly.

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 provides a cervical cancer postoperative survival prediction method, system and device and a medium, and belongs to the technical field of medicine. On the basis of traditional patient evaluation, the influence of pathological factors on postoperative survival of patients is emphasized, and on the basis of a machine learning algorithm, a clinical prediction model for predicting postoperative survival of early cervical cancer patients is developed. According to the invention, more personalized clinical guidance opinions can be provided for selection and accurate treatment of earlycervical cancer postoperative adjuvant therapy schemes, so that the method has good practical application value.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a survival prediction method, system, equipment and medium after cervical cancer surgery. Background technique [0002] The information disclosed in this background section is only intended to increase the understanding of the general background of the present invention, and is not necessarily taken as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. [0003] Cervical cancer is the second most common malignancy among women worldwide, and the third leading cause of death among all malignancies. In China, only about one-fifth of women have undergone cervical cancer screening, which is far lower than in developed countries, so the incidence of cervical cancer in Chinese women tends to increase. [0004] Currently, the prognosis of patients with cervical cancer is closely related to the...

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): G16H70/60G16H50/50G06N20/00
CPCG16H50/50G16H70/60G06N20/00
Inventor 李莉褚然宋坤谯旭苏绚涛解琳陈威姚舒苑存忠孔北华
Owner SHANDONG UNIV QILU HOSPITAL
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