Method and system for constructing oral cancer neck lymphatic metastasis diagnosis algorithm

A diagnostic algorithm and lymphatic metastasis technology, which is applied in the field of construction of oral cancer cervical lymphatic metastasis diagnostic algorithm, can solve problems such as unclear deep learning models, achieve the effect of reducing heavy workload and improving accuracy and efficiency

Pending Publication Date: 2021-03-26
HOSPITAL OF STOMATOLOGY SUN YAT SEN UNIV
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, it is unclear whether deep learning models can assess cervical lymph node metastasis of oral cancer at the same or even higher level of diagnostic accuracy than radiologists. Lymphatic metastasis diagnosis method and system

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 system for constructing oral cancer neck lymphatic metastasis diagnosis algorithm
  • Method and system for constructing oral cancer neck lymphatic metastasis diagnosis algorithm
  • Method and system for constructing oral cancer neck lymphatic metastasis diagnosis algorithm

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0046]SeeFigure 1-4 .

[0047]Such asfigure 1 As shown, the present embodiment provides a method of constructing a lymphatic transfer diagnostic algorithm of oral cancer neck, at least the steps of:

[0048]S1, screening the standard oral cancer patients in accordance with preset inclusion and exclude standards, and collect MRI video data, clinical pathological information and follow-up information compliant with standard oral cancer patients.

[0049]Specifically, for step S1, the screeing of the research object is carried out in accordance with the inclusion and exclude standard, the clinical pathological information of the study, MRI image data and follow-up information is collected; the clinical pathological information includes: name, hospitalization, gender, age, diagnosis , Primary / recurrence, neck past history, historical history, radiotherapy history, have cervical, systemic disease, TNM stage, clinical examination, pathological diagnosis, multiple admission history; MRI image inf...

no. 2 example

[0116]SeeFigure 5 .

[0117]Such asFigure 5 As shown, the present embodiment provides a construction system for a lymphatic transfer diagnostic algorithm of oral cancer neck, including:

[0118]The data acquisition module 100 is used to screen for patients with standard oral cancer in accordance with preset inclusion and exclude standards, and collect MRI video data, clinical pathological information and follow-up information that meet the standard oral cancer patients.

[0119]Specifically, for the data acquisition module 100, a screening of research objects is collected in accordance with the inclusion and exclusion criteria, and the clinical pathological information of the study is collected, MRI image data and follow-up information; where clinical pathological information includes: name, hospitalization, gender, age , Diagnosis, primary / recurrence, neck past history, history of tumor disease, radiotherapy history, has cervical, systemic disease, TNM stage, clinical examination, patholo...

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 discloses a method and system for constructing an oral cancer neck lymphatic metastasis diagnosis algorithm, and the method comprises the steps: screening out oral cancer patients meeting the standards according to the inclusion and exclusion standards, and corresponding MRI image data, clinical pathological data and follow-up visit data; grouping the oral cancer patients into a training set patient and a test set patient; performing data extraction on the MRI image data of the patient in the training set according to a preset data extraction rule, constructing an artificial intelligence diagnosis algorithm for oral cancer neck lymphatic metastasis based on the MRI image, and performing multi-dimensional verification; and performing secondary verification and optimization onthe artificial intelligence diagnosis algorithm according to the MRI image data of the patient in the test set to obtain a final oral cancer neck lymphatic metastasis diagnosis algorithm. The artificial intelligence diagnosis algorithm for oral cancer neck lymphatic metastasis based on MRI images constructed by the invention can be used for researching AI diagnosis and prediction of oral cancer neck lymphatic metastasis, and improves the accuracy and efficiency of AI diagnosis and prediction.

Description

Technical field[0001]The present invention relates to the field of computer-aided diagnostic technology, in particular, to the construction method and system of a lymphatic metastasis algorithm of oral cancer neck.Background technique[0002]Oral cancer refers to a cancer, including buccal cancer, gum carcinoma, oral cancer, tongue cancer, butterogate cancer, and a neck lymph node transfer may affect the best treatment selection and prognostic effect of oral cancer patients. Many imaging techniques are used to identify neck lymph node metastasis of patients with head neck cancer, such as computer tomography (CT) and magnetic resonance imaging (MRI) are the most widely used mode. These two imaging systems provide higher accuracy in lymph nodes compared to clinical trials.[0003]In recent years, the development of deep learning systems in the artificial intelligence has caused attention in many scientific fields. The depth learning system can automatically extract the related image featu...

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): G16H50/20G16H15/00G16H30/20G06K9/62G06N3/04G06N3/08
CPCG16H50/20G16H15/00G16H30/20G06N3/08G06N3/045G06F18/214
Inventor 梁玉洁廖贵清杨乐张思恩曾滨刘翔劳小媚梅雪滢高思勇李静远
Owner HOSPITAL OF STOMATOLOGY SUN YAT SEN 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