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Breast lesion malignant risk model for predicting compact breasts and construction method of breast lesion malignant risk model

A risk model, dense technology, applied in the field of biological information, can solve the problem of limited grayscale image resolution, and achieve the effect of reducing the waste of medical resources, important medical prospects, and reducing the suffering of patients

Pending Publication Date: 2021-02-09
SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the resolution of grayscale images is limited, so it has certain limitations in clinical diagnostic applications.

Method used

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  • Breast lesion malignant risk model for predicting compact breasts and construction method of breast lesion malignant risk model
  • Breast lesion malignant risk model for predicting compact breasts and construction method of breast lesion malignant risk model
  • Breast lesion malignant risk model for predicting compact breasts and construction method of breast lesion malignant risk model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Example 1 Method for constructing a breast lesion malignancy risk model for predicting dense breasts

[0041] (1) Construction of the nomogram model

[0042] Patient criteria: The baseline data of 418 patients who met the inclusion criteria in the Breast Diagnostic Department of Sun Yat-sen Memorial Hospital from 2014 to 2017 were collected retrospectively. palpable abnormalities, breast pain, nipple discharge and other symptoms), mammography showed dense breasts, breast color Doppler ultrasound showed Breast Imaging Reporting and Data System (BI-RADS) 4A lesions, and the BI-RADS 4A lesions were biopsyed Or open surgical excision biopsy sent pathological diagnosis.

[0043] Patient information includes: patient age, family history of breast cancer, history of benign breast lesions indicated by previous pathological biopsy, histopathological results, positive lymph nodes, size of lesion on ultrasound, edge of lesion on ultrasound, shape of lesion on ultrasound, directio...

Embodiment 2

[0063] Example 2 clinical sample selection verification

[0064]A 46-year-old patient was randomly selected clinically, and "discovered left nipple discharge for more than 4 months" to see a doctor. Mammography in our hospital showed dense breasts, and breast color Doppler ultrasound showed a concentrated area of ​​the outer inferior structure of the left breast—the nature of which is to be investigated (BI-RADS 4A), the edges are not smooth, the shape is not smooth, the long axis is not parallel to the skin, and there is no rear echo Obvious changes, no obvious lymph nodes in the bilateral armpit, no obvious calcifications under the mammogram, no family history of breast cancer, and a total score of 135 according to the nomogram model; it was judged as a high-risk group of patients.

[0065] Open surgical excision biopsy was performed, and the pathology showed: intraductal papilloma with carcinoma in situ. According to the nomogram prediction model of the present invention, ...

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Abstract

The invention discloses a breast lesion malignant risk model for predicting compact breasts and a construction method of the breast lesion malignant risk model. A nomogram model for predicting breastlesion malignant risk aims at women who are 18 years old or older and have clinical symptoms, and breast imaging-reporting and data system (BI-RADS) 4A lesions. A breast lesion malignant risk assessment system is established for the first time, the nomogram model is concise and popular and easy to understand, a clinician can conveniently predict the breast lesion malignant risk of a patient, and besides, the patient and family members of the patient can understand the illness state of the patient. According to the patient risk score calculated according to a risk score formula in the model, the breast lesion malignant risk of the patient is more accurately and objectively predicted, high-risk groups and low-risk groups are clearly distinguished, clinicians are assisted in making more accurate clinical decisions, part of the patients are helped to temporarily avoid biopsy, the pain of the patient is reduced, medical resource waste is reduced. and important medical prospects are realized.

Description

technical field [0001] The invention belongs to the field of biological information, and relates to a breast lesion malignancy risk model for predicting dense breasts and a construction method thereof. Background technique [0002] Mammography is less effective in women with dense breasts, while breast ultrasound plays an indispensable role in the routine screening and diagnosis of lesions in women with dense breasts. [0003] In 2003, the American College of Radiology (ACR) added a chapter on diagnostic ultrasound to the fourth edition of the Breast Imaging Reporting and Data System (BI-RADS). Among them, the lesions of category 4 in BI-RADS are likely to be malignant lesions; in 2013, the fifth edition of BI-RADS further divided the lesions of category 4 into three subcategories: 4A, 4B, and 4C. Because of the possibility of malignant lesions in BI-RADS category 4, the guidelines recommend that for BI-RADS category 4 lesions, whether they are 4A, 4B, or 4C lesions, biopsy...

Claims

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Application Information

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IPC IPC(8): A61B6/00
CPCA61B6/502
Inventor 龚畅杨雅平胡越林婉宜
Owner SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV