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Gastric cancer peritoneal metastasis prediction system and method based on enhanced CT imaging omics

A technology of CT imaging and prediction system, applied in the field of prediction system of peritoneal metastasis of gastric cancer, to achieve the effect of relieving pain and economic burden, easy operation and high use value

Pending Publication Date: 2020-12-11
NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are still quite a lot of feature information in medical imaging pictures to be developed and utilized.

Method used

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  • Gastric cancer peritoneal metastasis prediction system and method based on enhanced CT imaging omics
  • Gastric cancer peritoneal metastasis prediction system and method based on enhanced CT imaging omics
  • Gastric cancer peritoneal metastasis prediction system and method based on enhanced CT imaging omics

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Embodiment 1

[0042] This example figure 1 Shown:

[0043] This embodiment provides a prediction system for gastric cancer peritoneal metastasis based on enhanced CT radiomics, the prediction system includes: enhanced CT image input module 1, enhanced CT image preprocessing module 2, feature extraction module 3, data processing module 4 and prediction and result output module 5; the enhanced CT image input module 1 is used to input the enhanced CT image for detection of gastric cancer peritoneal metastasis; the enhanced CT image preprocessing module 2 is used to perform image processing on the enhanced CT image, and identify The image features manually selected and marked; the feature extraction module 3 is used to extract three sets of feature data groups from the identified image features, wherein the first set of feature data sets contains some intensity feature data, and the second set of feature data The first group contains several morphological characteristic data, and the third gro...

Embodiment 2

[0051] This embodiment provides a method for predicting peritoneal metastasis of gastric cancer based on enhanced CT radiomics, the prediction method comprising the following steps:

[0052] S1, input enhanced CT images for detection of peritoneal metastasis of gastric cancer; specifically, 562 gastric cancer patients who underwent surgical resection of gastric cancer from January 2016 to December 2018 were selected as the training group, and then selected from January 2019 to December 2019 106 patients with gastric cancer who underwent surgery in December were used as the internal verification group, and 287 patients with gastric cancer who underwent surgery in other cancer centers from January 2013 to December 2019 were used as the external verification group, and the preoperative enhancement of these patients was selected. CT images, external verification group is used to verify whether the model is reliable;

[0053] S2, performing image processing on the input enhanced CT...

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Abstract

The invention discloses a gastric cancer peritoneal metastasis prediction system based on enhanced CT imaging omics. The system comprises an enhanced CT image input module, an enhanced CT image preprocessing module, a feature extraction module, a data processing module and a prediction and result output module. The invention also discloses a gastric cancer peritoneal metastasis prediction method based on enhanced CT imaging omics. The method comprises the following steps of: inputting an enhanced CT image; performing imaging processing; manually selecting an image, and manually marking image features; identifying the marked image features; extracting three feature data groups; carrying out regression analysis and scoring; and carrying out qualitative analysis on the score value and outputting a prediction result. According to the method, the preoperative prediction capability and prediction accuracy of gastric cancer peritoneal metastasis are improved, the system and the method have the advantages of being non-invasive, visual and easy to operate, more and more accurate decision information is provided for clinicians before an operation, and more efficient support is provided for judging whether the operation is carried out or not and making an accurate treatment scheme before the operation.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence and medical image analysis, in particular to a prediction system and method for peritoneal metastasis of gastric cancer based on enhanced CT radiomics. Background technique [0002] Gastric cancer (GC) is one of the most common malignant tumors in the world and the third leading cause of cancer-related death in the world. The high incidence and high mortality of gastric cancer have brought a huge economic burden to the world. . In my country, the number of newly diagnosed gastric cancer cases accounts for more than half of the world's total each year, and advanced gastric cancer is the main type. Among them, peritoneal metastasis (PM) of gastric cancer is an important reason for its poor prognosis. Whether to accurately grasp the peritoneal metastasis of gastric cancer patients before surgery has always been the key to researchers' research, and it is also a thorny issue that has ...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06T7/00
CPCG16H50/20G06T7/0012G06T2207/10081G06T2207/30092G06T2207/30096Y02A90/10
Inventor 李国新江玉明黄伟才韩震
Owner NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV
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