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A method for identifying early lung adenocarcinoma manifested as frosted glass nodules

A technology for lung adenocarcinoma and nodules, applied in image data processing, health index calculation, medical informatics, etc. It can improve the preoperative prediction, reduce the false recognition rate, and achieve good prediction efficiency.

Inactive Publication Date: 2020-08-14
THE FIRST PEOPLES HOSPITAL OF CHANGZHOU
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Brock model has many parameters, and its application is complex, and its modeling data comes from patients with a low malignancy rate (5.5%) in the initial screening, and the accuracy of preoperative high-risk nodules is not high.
The Herder model and the BIMC model are relatively recognized prediction models containing PET metabolic information at home and abroad, but both are based on solid pulmonary nodules. Many studies have shown that solid pulmonary nodules and ground glass nodules are more There are large differences in clinical manifestations, biological characteristics, and prognosis, so neither model is suitable for the prediction of benign and malignant ground glass nodules

Method used

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  • A method for identifying early lung adenocarcinoma manifested as frosted glass nodules
  • A method for identifying early lung adenocarcinoma manifested as frosted glass nodules
  • A method for identifying early lung adenocarcinoma manifested as frosted glass nodules

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Embodiment 1

[0047] A method for identifying early-stage lung adenocarcinomas presenting as ground-glass nodules such as figure 1 shown, including the following steps:

[0048] Step 1: Medical History Collection

[0049] Firstly, the patients who were pre-examined by PET / CT due to ground-glass nodules were interviewed, and the medical history data were collected, including: patient age, gender, smoking history, recent peripheral blood tumor markers, tumor history, whether accompanied by severe liver disease or diabetes Diseases that may affect PET / CT semi-quantitative indicators, the blood tumor markers include CEA, CYFRA21-1, CA199, NSE, SCCAg;

[0050] Step 2: Image Acquisition

[0051] Image scanning was performed using a PET / CT imager of Siemens Biograph mCT 64, imaging agent 18F-FDG, radiochemical purity > 95%, fasting > 4 hours, blood glucose ≤ 10mmol / L, intravenous injection of 18F- FDG, and the dose of 18F-FDG is 3.70-7.77MBq / kg, whole body PET / CT imaging will be performed 1h la...

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Abstract

The invention relates to the technical field of image analysis of lung frosted glass nodules, in particular to a method for identifying early lung adenocarcinoma manifested as frosted glass nodules, which comprises seven steps of medical history acquisition, image acquisition, image analysis, case follow-up visit, data collection, statistical analysis and establishment of a prediction model. A prediction model is established by using a multi-factor Logistic regression method. Optimal model parameters are selected according to a minimum red pool information standard. An alignment chart of the prediction model are drawn and the prediction efficiency of the model is evulated by applying the working characteristic curve of a subject. Firstly, a multi-factor prediction model which is dedicatedfor the frosted glass nodules and contains PET metabolic parameters is created in China so as to evaluate benign and malignant frosted glass nodules. Depending on earlier stage research results, for asuspicious patient subjected to frosted glass nodule preoperative examination, the prediction model constructed on the basis of PET / CT development is good in prediction efficiency (AUC is 0.875) andhigh in specificity (0.923), the error recognition rate of frosted glass nodules can be reduced, unnecessary surgical operations are avoided, and preoperative prediction of high-risk frosted glass nodules is improved.

Description

technical field [0001] The present invention relates to the technical field of image analysis of lung ground glass nodules, and more specifically, it relates to a method for identifying early lung adenocarcinoma manifested as ground glass nodules. Background technique [0002] With the widespread application of low-dose CT in lung cancer screening, the detection rate of pulmonary ground glass nodules is increasing year by year. Ground glass nodules are common in early lung adenocarcinoma, but can also be caused by inflammation, interstitial fibrosis or local hemorrhage. How to effectively distinguish benign from malignant nodules is very important. Bronchoscopy or percutaneous lung biopsy is difficult to obtain material, has a low success rate, and is an invasive examination. There are limitations in clinical application. Imaging examination is still the main method for identifying ground glass nodules. The guidelines recommend that for ground glass nodules, CT follow-up ca...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G16H30/20G16H50/30A61B6/03
CPCA61B6/032A61B6/037G06T7/0012G06T2207/10081G06T2207/10104G06T2207/30061G06T2207/30096G06T2207/30204G16H30/20G16H50/30
Inventor 邵小南
Owner THE FIRST PEOPLES HOSPITAL OF CHANGZHOU
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