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Positive risk prediction method and apparatus for prostate aspiration biopsy

A technology of puncture biopsy and risk prediction, which is applied in the fields of meter look-up device, medical data mining, instrument, etc., can solve the problems of abnormal increase of serum PSA level, bleeding, infection, etc., to reduce the incidence of complications, easy to carry, The effect of broad clinical application prospects

Pending Publication Date: 2018-01-23
GENERAL HOSPITAL OF PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, PSA is not a specific serum indicator of prostate cancer. Benign lesions of the prostate, such as benign prostatic hyperplasia and prostatitis, can cause abnormal increases in serum PSA levels
At present, retrospective studies at home and abroad show that the positive rate of prostate biopsy is only about 40%, and prostate biopsy is an invasive examination, which brings unnecessary risks of complications to patients with negative biopsy results, such as bleeding, infection, pain, etc.

Method used

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  • Positive risk prediction method and apparatus for prostate aspiration biopsy
  • Positive risk prediction method and apparatus for prostate aspiration biopsy
  • Positive risk prediction method and apparatus for prostate aspiration biopsy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] In Example 1, a Logistic regression model was established to predict the risk of positive prostate biopsy in prostate cancer screening patients.

[0031] like figure 1 As shown, first, collect the clinical and pathological data (data) of a sufficient number of prostate cancer screening patients who underwent prostate biopsy, including age (Age), total prostate-specific antigen (Total prostate-specific antigen, tPSA), free prostate Specific antigen (Free prostate-specific antigen, fPSA), prostate volume (Prostate volume, PV), prostate biopsy results, etc. The data used to obtain the model in this embodiment is the clinical and pathological data collected by the inventors of the present invention from 944 prostate cancer screening patients undergoing prostate biopsy.

[0032] Then, R 3.3.1 statistical software was used to perform multivariate Logistic regression analysis on the collected data, and the clinical index variables related to the positive results of prostate b...

Embodiment 2

[0048] In this example, firstly, using the method described in Example 1, a regression equation is established with age, tPSA, fPSA and prostate volume as variables for obtaining the positive risk prediction value P of prostate biopsy. This process is the same as in Embodiment 1, so the description is omitted.

[0049] Next, a nomogram model was developed to predict the risk of a positive prostate biopsy in prostate cancer screening patients.

[0050] According to the Logistic regression equation established as above, draw the corresponding nomogram by R 3.3.1 software rms program package ( image 3 ). The nomogram is a geometric expression of the Logistic regression equation, which graphically displays the interaction and superposition of predictive indicators, and provides patients with individualized disease risk assessment. Then use the R 3.3.1 software to calculate the specific points or total points corresponding to the four indicators of age, tPSA, fPSA, prostate volu...

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Abstract

The invention provides a positive risk prediction method and apparatus for prostate aspiration biopsy, which can predict the specific risk of the prostate aspiration biopsy positive so as to reduce the unnecessary clinical prostate biopsy. The positive risk prediction method of the prostate aspiration biopsy comprises the following steps: acquiring the age of a prostate cancer screening patient subjected to the prostate aspiration biopsy, a value of total prostate specificity antigens, a value of free prostate specificity antigen and a value of prostate volume, substituting the acquired data into the following equation, and solving a prostate aspiration biopsy positive risk prediction value of the patient, Logit(P)=ln(P / (1-P))=a+b*Age+c*tPSA+d*fPSA-e*PV, wherein P is the prostate aspiration biopsy positive risk prediction value greater than 0 and less than 1, Age is the age of the patient, tPSA is the total prostate specificity antigen, fPSA is the free prostate specificity antigen, PVis the prostate volume, and a, b, c, d and e are constants.

Description

technical field [0001] The invention relates to a prostate cancer risk prediction method and device, in particular to a positive risk prediction method and device for prostate cancer screening patients undergoing prostate biopsy. Background technique [0002] Prostate cancer is the male malignant tumor with the highest incidence rate in Western countries. The incidence rate of prostate cancer in China is also increasing year by year. At present, domestic and foreign guidelines recommend serum prostate-specific antigen (PSA) as the preferred screening method for prostate cancer. If the serum PSA level of patients is abnormally high, it is recommended that these patients undergo prostate biopsy for further diagnosis have prostate cancer. However, PSA is not a specific serum indicator of prostate cancer, and benign lesions of the prostate, such as benign prostatic hyperplasia and prostatitis, can cause an abnormal increase in serum PSA levels. At present, retrospective studie...

Claims

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Application Information

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IPC IPC(8): G06C3/00G16H10/60G16H50/70
Inventor 高江平李方龙殷小涛崔亮
Owner GENERAL HOSPITAL OF PLA
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