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

Lung cancer risk predicting system

A technology for risk prediction and lung cancer, applied in the field of lung cancer diagnosis system, can solve problems such as low AUC and unstable model testing efficiency, and achieve high specificity and excellent predictive ability

Active Publication Date: 2019-09-10
WEST CHINA HOSPITAL SICHUAN UNIV
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both the Brock model and the Mayo model have been verified in the Chinese population, but the test efficiency of the model is unstable and the AUC is basically lower than the original study

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
  • Lung cancer risk predicting system
  • Lung cancer risk predicting system
  • Lung cancer risk predicting system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Embodiment 1 The use method of the risk prediction system of the present invention

[0041] After the user inputs the aforementioned age, nodule diameter, shape, texture, burr sign, APTT and other information through the input module, the calculation module can substitute the aforementioned information into Model1 for calculation, obtain the probability of lung cancer, and present it to the user through the output module.

[0042] The model of the present invention is a key technical feature of the lung cancer risk prediction model, which is directly related to the prediction effect; the prediction effect of the model of the present invention will be further described in the form of an experimental example.

[0043] In the experimental example, another similar prediction model Model2 constructed by the inventor is also introduced, as follows:

[0044] Lung cancer probability value Y=e x / (1+e x );

[0045] X=-4.367+0.036*age+0.784*malignant tumor history+0.072*diamet...

experiment example 1

[0051] The verification of experimental example 1 model effect of the present invention

[0052] 1. Inclusion criteria

[0053] This part included patients with benign and malignant pulmonary nodules diagnosed by pathology in West China Hospital of Sichuan University from 2010 to 2017. The main inclusion criteria are as follows: (1) chest CT showed focal, round, dense solid or subsolid pulmonary nodules with a diameter of 5-30 mm; (2) nodules with clear pathological diagnosis. The main exclusion criteria are as follows: (1) calcified nodules in the mediastinal window; (2) definite diagnosis of multiple primary lung cancers or multiple benign nodules; (3) pulmonary metastases; (4) associated with atelectasis, hilar Swollen lymph nodes or pleural effusion. The study was approved by the Institutional Ethics Committee.

[0054] 2. Research object

[0055] A total of 2821 patients with pathologically definite pulmonary nodules were enrolled in this study, of which 1813 were prima...

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 aims to provide a new lung cancer risk predicting system which comprises an input module, a calculating module and an output module. The input module is used for transmitting patient information to the calculating module, wherein the patient information comprises age, some characteristics of a lung tubercle and partial thromboplastin time. The calculating module is internally provided with a lung cancer risk predicting model Model1, namely, a lung cancer probability= e<x> / (1+e<x>), X=-3.764+0.063*age+0.043*(diameter of the lung tubercle)+0.810*shape+1.641*texture+0.567*(spiculation sign)-0.042*(partial thromboplastin time). The output module is used for outputting the probability Y. The new lung cancer risk predicting system can realize quick and effective predicting to the lung cancer risk and has an excellent application prospect.

Description

technical field [0001] The invention relates to the field of lung cancer diagnosis system. Background technique [0002] Global cancer statistics show that there will be 18.1 million new cancer cases and 9.6 million cancer deaths in 2018, of which lung cancer will account for the largest proportion of new cases and deaths, accounting for 11.6% and 18.4% respectively, about every 5 1 in every lung cancer patient dies. [0003] The survival rate of lung cancer is closely related to the clinical stage of lung cancer at the time of diagnosis. Because the symptoms of lung cancer are not obvious in the early stage, it is often diagnosed at an advanced stage, and the opportunity for surgical treatment is lost, and the prognosis is poor. [0004] In order to achieve early diagnosis and treatment of lung cancer, low-dose spiral computed tomograph (LDCT) lung cancer screening tests have been carried out one after another. Although the screening schemes and screening populations of ...

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): G16H50/20
CPCG16H50/20
Inventor 李为民张瑞陈勃江
Owner WEST CHINA HOSPITAL SICHUAN 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

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