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A radiomics-based method to quantify tumor immune status

A radiomics and state-of-the-art technology, applied in the field of image processing, can solve problems such as unresectable, unobtainable pathological specimens, and different prognosis

Active Publication Date: 2021-08-13
GUANGDONG GENERAL HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, even though some patients have the same TNM stage and histological type, they have different prognoses, and many patients have advanced tumors that cannot be surgically removed, that is, pathological specimens cannot be obtained.

Method used

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  • A radiomics-based method to quantify tumor immune status
  • A radiomics-based method to quantify tumor immune status
  • A radiomics-based method to quantify tumor immune status

Examples

Experimental program
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Embodiment

[0034] The sample (colorectal cancer) used in the embodiment of the present invention came from Guangdong Provincial People's Hospital (February 2006-February 2009). This experiment passed the Ethics Committee of Guangdong Provincial People's Hospital, and the patient's informed consent has been obtained.

[0035] The clinical information in this example includes CEA, CA-199, tumor invasion depth, lymph node metastasis, differentiation status, tumor size, Lauren's surgery score, gender, age, TNM stage and overall survival (OS) and disease-free survival (DFS). Among them, CEA and CA-199 were provided by the laboratory department; tumor infiltration depth, TNM and differentiation status were reviewed by attending pathologists; lymph node metastasis and tumor size were reviewed by attending doctors and above.

[0036] Such as figure 2 As shown, paraffin tissue slices and baked slices: prepare paraffin-embedded samples into 4 μm serial slices, place the obtained tissue slices on...

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Abstract

The invention discloses a method for quantifying tumor immune status based on radiomics, comprising the following steps: S1, collecting clinical information, immunohistochemical characteristics, overall survival period OS and disease-free survival period DFS of tumor patients; S2, obtaining Solid tumor CT image sample group; S3, randomly divide patients into training set and test set in proportion; S4, use immune markers to calculate immune score, and divide patients into high immune state and low immune state; S5, segment ROI , extract the radiomics features of solid tumors in the region of interest; S6, screen out the radiomics features related to the immune status from the radiomics features in the training set, and train the prediction model; S7, predict the imaging immune score of tumor patients, and get Image immune status, and then predict the patient's DFS and OS. The invention can use CT image features to predict the immune status of solid tumors such as colorectal cancer, lung cancer, gastric cancer and breast cancer, reducing or avoiding the analysis of pathological sections and immunohistochemistry.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for quantifying tumor immune status based on radiomics. Background technique [0002] Currently, biopsy of pathological specimens of tumor patients, pathological staging, and then guiding clinical treatment are commonly used clinical detection methods. However, even though some patients have the same TNM stage and histological type, they have different prognosis, and many patients have advanced tumors when they are found and cannot be surgically removed, that is, pathological specimens cannot be obtained. Therefore, there is an urgent need for a simpler, faster and more accurate method to make up for the deficiency of TNM staging. [0003] Preoperative CT scanning is one of the routine preoperative examination items for patients, and it is applicable to a wide range of people and the examination time is short. Moreover, CT images contain a lot of i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H30/20G06T7/00
CPCG06T7/0012G06T2207/10081G06T2207/20081G06T2207/20104G06T2207/30096G16H30/20
Inventor 刘再毅梁长虹揭光灵赵可张芳何兰王瑛陈鑫黄燕琪颜黎栩李振辉
Owner GUANGDONG GENERAL HOSPITAL