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Gadoxetate disodium enhanced MRI (Magnetic Resonance Imaging)-based radiomics characteristic acquisition method for predicting histological grade of hepatocellular carcinoma

A technology of hepatocellular carcinoma and disodium gadoxetate, which is applied in the fields of medical informatics, informatics, image analysis, etc., can solve problems such as lack, achieve accurate feature selection, and improve the reproducibility of functional clustering

Pending Publication Date: 2022-07-05
南京亨达生物科技有限公司
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Problems solved by technology

[0037] The purpose of the present invention is to solve the existing problem of lacking a feature extraction method for predicting the histological grade of hepatocellular carcinoma based on gadoxetate disodium-enhanced MRI radiomics, and proposes a method for predicting the histological grade of hepatocellular carcinoma. A radiomics feature acquisition method based on gadoxetate disodium-enhanced MRI

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  • Gadoxetate disodium enhanced MRI (Magnetic Resonance Imaging)-based radiomics characteristic acquisition method for predicting histological grade of hepatocellular carcinoma
  • Gadoxetate disodium enhanced MRI (Magnetic Resonance Imaging)-based radiomics characteristic acquisition method for predicting histological grade of hepatocellular carcinoma
  • Gadoxetate disodium enhanced MRI (Magnetic Resonance Imaging)-based radiomics characteristic acquisition method for predicting histological grade of hepatocellular carcinoma

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specific Embodiment approach 1

[0069] The radiomics feature acquisition method based on gadoxetate disodium-enhanced MRI for predicting the histological grade of hepatocellular carcinoma in this embodiment, such as figure 1 As shown, the method is realized by the following steps:

[0070] Step 1. Set inclusion and exclusion criteria for patients with HCC pathological information from MRI, and count the total number of patients who can be included in the collection of radiomics features.

[0071] The inclusion criteria are:

[0072] (1) Edmondson-Steiner (E-S) grade confirmed by postoperative pathology; Edmondson-Steiner grade is the commonly used pathological grade of liver cancer in the world;

[0073] (2) Have a complete gadoxetate disodium-enhanced Gd-EOB-DTPA-enhanced MRI image within 3 weeks before surgery;

[0074] The exclusion criteria are:

[0075] (1) Receive any systemic or local anti-tumor therapy before surgery, such as radiofrequency or microwave ablation, TACE or molecular targeted therapy...

specific Embodiment approach 2

[0088] Different from Embodiment 1, the radiomics feature acquisition method based on gadoxetate disodium-enhanced MRI for predicting the histological grade of hepatocellular carcinoma in this embodiment,

[0089] The pathological information described in step 1 is obtained from the electronic pathology system, and the pathological information includes: gender, age, serum AFP level (>10ng / mL or ≤10ng / mL), serum carcinoembryonicantigen (CEA) level (>5ng / mL or ≤5ng / mL), serum carbohydrate antigen 19-9 (carbohydrateantigen19-9, CA19-9) level (>39U / mL or ≤39U / mL), ALT (U / L), AST (U / L) ), TNM stage, E-S grade.

specific Embodiment approach 3

[0090] Different from the second embodiment, the gadoxetate disodium-enhanced MRI-based radiomics feature acquisition method for predicting the histological grade of hepatocellular carcinoma in this embodiment,

[0091] The process of performing radiomic feature extraction described in step 4 is as follows:

[0092] Step 41. Obtain the MRI imaging features of gadoxetate disodium-enhanced;

[0093] Acquire Gd-EOB-DTPA-enhanced MRI images of gadoxetate disodium. Arterial phase (stage 2) and hepatobiliary images of all HCC patients with 2.5 mm slice thickness were obtained from the Image Archiving and Communication System (PACS) in accordance with the Digital Imaging and Imaging and Comminications in Medicine (DICOM) protocol.

[0094]ROIs were manually delineated layer by layer along the tumor margin on the arterial and hepatobiliary MRI images, respectively, including necrotic or cystic areas within the tumor, avoiding the surrounding liver parenchyma, blood vessels, and adjac...

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Abstract

The invention discloses a disodium gadoxate enhanced MRI (Magnetic Resonance Imaging)-based radiomics characteristic acquisition method for predicting the histological grade of hepatocellular carcinoma. At present, there is no Gadoxate disodium enhancement-based MRI image omics feature extraction method. A disodium gadoxate-enhanced MRI-based radiomics feature acquisition method for predicting histological grade of hepatocellular carcinoma comprises the following steps: setting an inclusion standard and an exclusion standard for patients with HCC pathological information of MRI, counting the total number of patients capable of being included in radiomics feature acquisition, and receiving conventional Gd-EOB-DTPA enhanced MRI examination on the patients included in the standards; and image omics feature extraction is carried out on the obtained part of the gadoxetate disodium enhanced MRI. As a data basis for predicting the histological grade of hepatocellular carcinoma, the method has the advantage of accurate feature extraction.

Description

technical field [0001] The invention relates to a feature extraction method for predicting the histological grade of liver cancer, and a radiomics feature acquisition method based on gadoxetate disodium enhanced MRI for predicting the histological grade of hepatocellular carcinoma. Background technique [0002] HCC is one of the most frequently diagnosed cancers worldwide and the leading cause of cancer-related death [1]. Surgical resection and liver transplantation are potentially curative treatments for HCC patients [2], but postoperative recurrence is still common. Histological grade is one of the most important predictors of postoperative recurrence and prognosis in HCC patients [3-6]. Poorly differentiated HCC generally predicts poorer survival compared with moderately and well differentiated HCC [7]. Oishi et al. did not recommend liver transplantation for poorly differentiated HCC patients with a diameter >3 cm [8]. Okusaka et al pointed out that patients with p...

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Application Information

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IPC IPC(8): G16H50/70G16H50/20G16H50/30G06V10/771G06V10/54G06V10/82G06K9/62G06T7/00
CPCG16H50/70G16H50/20G16H50/30G06T7/0012G06T2207/10088G06T2207/30056G06T2207/30096G06T2207/30168G06T2207/30196G06F18/211
Inventor 尹胤刘巧玉刘洋徐晓亮周喆聿王锦程王琨张文杰
Owner 南京亨达生物科技有限公司
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