Risk assessment model for papillary cancer of thyroid nodule patient

Abstract

The invention discloses a risk assessment model for papillary cancer of a thyroid nodule patient, and the model is characterized in that the model comprises the steps: carrying out the risk factor analysis of PTC through Logistic regression, and selecting a specific index as an independent variable of the model; constructing a BP neural network model comprising three layers of feedforward neural network structures of an input layer, a hidden layer and an output layer, and training and predicting the BP neural network model by utilizing data information comprising the specific indexes; and comparing a prediction value output by the model with a real value, drawing an ROC curve to obtain an area AUC under the curve, evaluating the diagnosis performance of the model by using the AUC value, and the like, so that the model with the diagnosis performance reaching the standard is a target risk evaluation model. The risk assessment model can be used as a reference for a doctor to diagnose papillary thyroid carcinoma, and the accuracy of diagnosis of papillary thyroid carcinoma diseases is improved.

Description

technical field [0001] The invention relates to a risk assessment model constructed based on a neural network model, which is specifically used for the risk assessment of papillary carcinoma in patients with thyroid nodules. Background technique [0002] In recent years, people in the field generally believe that the popularity of thyroid disease screening and the advancement of detection technology are the main reasons for the significant increase in the incidence of thyroid cancer that we have obtained. Among the known incidence data of thyroid cancer, most of them are papillary thyroid carcinoma (PTC) with good prognosis. The increase of a large number of PTC cases not only increases the medical burden, but also increases the possibility of overtreatment. In terms of preoperative diagnosis of thyroid cancer, domestic and foreign guidelines recommend neck ultrasound as the first choice for all patients with known or suspected thyroid nodules. However, its diagnostic accu...

AI Technical Summary

Problems solved by technology

In terms of preoperative diagnosis of thyroid cancer, domestic and foreign guidelines recommend neck ultrasound as the first choice for all patients with known or suspected thyroid nodules. However, its diagnostic accuracy is not enough to be used as an independent diagnostic method. Patients with suspected thyroid cancer need subsequent cytopathological examination of fine needle biopsy of thyroid nodules. As an invasive examination, its There are certain operational risks and chances of puncture failure, and there are some cases where cytology cannot be clearly diagnosed

Previous studies have shown that in addition to imaging examinations, the general condition of the patient and some serological indicators are also correlated with the benign and malignant nodules, but because of their low independent diagnostic performance, they are often only used as clinical reference indicators

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