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Risk prediction model and risk prediction system for endometriosis-related ovarian cancer

A forecasting system and risk forecasting technology, applied in health index calculation, medical informatics, informatics, etc., can solve problems such as risk forecasting models that have not been seen in EAOC, and achieve the effect of convenient evaluation and simplified regression equations

Inactive Publication Date: 2021-01-12
PEKING UNIV THIRD HOSPITAL
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AI Technical Summary

Problems solved by technology

At present, there is no risk prediction model specifically for EAOC

Method used

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  • Risk prediction model and risk prediction system for endometriosis-related ovarian cancer
  • Risk prediction model and risk prediction system for endometriosis-related ovarian cancer
  • Risk prediction model and risk prediction system for endometriosis-related ovarian cancer

Examples

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Embodiment Construction

[0044] The present invention will be described below through specific examples, but the present invention is not limited thereto.

[0045] The experimental methods used in the following examples are conventional methods unless otherwise specified; the reagents and biological materials used in the following examples can be obtained from commercial sources unless otherwise specified.

[0046] Example Predictive Model Establishment

[0047] 1. Materials and methods

[0048] 1.1 Sources of data and specimens

[0049] From January 2011 to December 2018, 39 patients with pathologically confirmed endometriosis-associated ovarian cancer (malignant group) and ovarian endometriosis were collected and treated in the Department of Gynecology, Peking University Third Hospital. Clinical data of 156 cyst patients (non-malignant group).

[0050] 1.2 Data and specimen collection

[0051] The clinical data of all study cases were collected, including age, clinical symptoms, menstrual histor...

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PUM

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Abstract

The invention provides a risk prediction model and a risk prediction system for endometriosis-related ovarian cancer. The risk prediction model comprises the following regression equation: Logit(P)= ln(P / 1-P)=-11.149+0.113*age+0.170*physique index+0.002*mass volume+2.420*blood flow signal. Compared with the prior art, the prediction model has the advantages that the prediction accuracy of the ovarian cancer risk is greatly improved, and a treatment scheme can be better formulated clinically.

Description

technical field [0001] The invention belongs to the field of disease risk prediction, and relates to a risk prediction model and a risk prediction system for endometriosis-related ovarian cancer. Background technique [0002] Endometriosis is one of the common diseases in gynecology. It is more common in women of childbearing age, and the incidence rate of women is 6-10%. Its main clinical manifestations are dysmenorrhea, infertility and pelvic mass [Zafrakas M, Grimbizis G, TimologouA, et al. Endometriosis and ovarian cancer risk: a systematic review of epidemiological studies [J]. Front Surg, 2014, 1:14; Mogensen J B, Kjaer S K, Mellemkjaer L, et al. Endometriosis and risks for ovarian, endometrial and breast cancers: A nationwide cohort study[J]. Gynecol Oncol, 2016, 143(1): 87-92; King C M, Barbara C, Prentice A, et al. Models of endometriosis and their utility in studying progression to ovarian clear cell carcinoma [J].J Pathol,2016,238(2):185-196]. Endometriosis asso...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30
CPCG16H50/30
Inventor 李华蔡雨晗常筱晗杨琳
Owner PEKING UNIV THIRD HOSPITAL
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