Intestinal cancer peritoneal metastasis prediction model and construction method thereof

A technology for transfer prediction and construction method, applied in the field of biomedicine, can solve the problem of lack of prediction model and prediction method, and achieve the effects of high sensitivity and specificity, improved survival rate, and high prediction accuracy.

Active Publication Date: 2020-04-10
THE SIXTH AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there are few studies on the early diagnosis of colorectal cancer peritonea

Method used

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  • Intestinal cancer peritoneal metastasis prediction model and construction method thereof
  • Intestinal cancer peritoneal metastasis prediction model and construction method thereof
  • Intestinal cancer peritoneal metastasis prediction model and construction method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] A prediction model for peritoneal metastasis of intestinal cancer, the construction method is as follows:

[0031] 1. Selection of modeling variables: 170 cases of colorectal cancer were selected and randomly divided into a training set and a verification set, including the peritoneal metastasis group and the non-peritoneal metastasis group respectively. The specific CT image parameters of peritoneal metastasis include 13 items: tumor location (left or Right), T stage, adjacent organ invasion (T4b), N status, peritoneal plaque shadow, tumor enhancement, necrosis, perforation, PC metastasis site, distant metastasis site, ascites, omental thickening, pelvic implant nodule ,Such as figure 1 as shown, figure 1 To enhance the typical features of peritoneal metastases on CT, figure 1 A: T4b, the tumor invades locally close to the peritoneum; figure 1 B: pelvic ascites; figure 1 C: ovarian metastasis; figure 1 D: Peritoneal metastases invade the urinary system.

[0032] ...

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Abstract

The invention relates to the field of biomedicine. More specifically, the present invention relates to an intestinal cancer peritoneal metastasis prediction model and a construction method thereof. The intestinal cancer peritoneal metastasis prediction model is as follows: Model=32.892 + 1.51 * CT_stage + 1.884*tumor location + 20.447*distant metastatic sites - 19.898*thickened greater omentum - 20.222*pelvic nodules, wherein the CT_stage is a T stage, the tumor location is a tumor site, the tumor location is a tumor site, the distant metastatic sites are used as far transfer parts, the thickened greater omentum is used for thickening the omentum majus, and the pelvic nodules are pelvic implant nodules. The intestinal cancer peritoneal metastasis prediction model is high in prediction accuracy and has high sensitivity and specificity.

Description

technical field [0001] The present invention relates to the field of biomedicine, and more specifically, to a prediction model for peritoneal metastasis of intestinal cancer and a method for constructing the model. Background technique [0002] Colorectal cancer is the third most common cancer worldwide with an estimated 100,000 new cases each year and the third leading cause of cancer-related death (CA 2019). Peritoneal metastasis is considered to be the end stage of colorectal cancer. The incidence of synchronous peritoneal metastasis in colorectal cancer patients is about 5-10%, and about 5% of patients are found to have metachronous metastases after radical resection. Peritoneal metastasis, about 25-44% of relapsed patients have peritoneal metastasis. Recently, cytoreductive surgery (cytoreductive, CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) has been widely used in many centers around the world for the treatment of colorectal cancer with periton...

Claims

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Application Information

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IPC IPC(8): G16H50/50G16H50/30
CPCG16H50/50G16H50/30Y02A90/10
Inventor 袁紫旭曹务腾吴磊王辉秦秀森李文辉石婧蔡建王怀明刘晓霞马腾辉黄榕康赵业标王馨华汪建平陈代词俞希虎钟清华秦启元初丽丽李杨曾展涛黄小艳
Owner THE SIXTH AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
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