Method for predicting biochemical recurrence risk after prostatic cancer radical operation by MRI (magnetic resonance imaging) image

A prostate cancer and biochemical technology, applied in the field of computer medicine, to avoid side effects, optimize treatment plans, and ensure reliability

Inactive Publication Date: 2022-03-01
冯朝燕
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Problems solved by technology

Studies have shown that due to the huge racial differences in clinical characteristics between the Eastern and Western populations, the Chinese population has higher PSA levels and Gleason scores, and these models are not applicable to the Chinese population

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  • Method for predicting biochemical recurrence risk after prostatic cancer radical operation by MRI (magnetic resonance imaging) image

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] like figure 1 As shown, the present invention provides a technical solution: MRI imaging method for predicting the risk of biochemical recurrence after radical prostatectomy, comprising the following steps:

[0038] S1. Collection of prostate cancer cases:

[0039] Firstly, the MRI data and clinical data of no less than 300 radical prostatectomy patients need to be collected retrospectively according to the inclusion criteria, of which 200 patients are...

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Abstract

The invention relates to the technical field of computer medicine, and discloses a method for predicting a biochemical recurrence risk after a radical prostatic cancer operation through an MRI image, and the method comprises the following steps: S1, collection and arrangement of prostatic cancer cases: firstly, carrying out the retrospective collection and arrangement of MRI data and clinical data of at least 300 patients subjected to the radical prostatic cancer operation according to a group entering standard, wherein 200 patients are used for constructing a radiomics model, and 100 patients are used for verifying and optimizing the radiomics model; according to the method, a retrospective and prospective combined mode is innovatively adopted, the optimized image group student recurrence prediction model is constructed and verified on the basis of a large number of prostate cancer cases which are collected in the past and are subjected to standardized scanning, and the accuracy of the model is tested by using prostate cancer radical cases collected prospectively, so that the reliability of the model is ensured. Meanwhile, retrospective and prospective data are creatively applied in the research, and the stability and repeatability of image features are evaluated by adopting multiple methods.

Description

technical field [0001] The invention relates to the technical field of computer medicine, in particular to a method for predicting biochemical recurrence risk after radical prostatectomy with MRI images. Background technique [0002] Prostate cancer is one of the most common and fatal cancers in the world. According to statistics from the American Cancer Society, among all male cancer patients, the incidence of prostate cancer will occupy the first place in 2018, and the death rate will be the second. In China, there were approximately 60,300 new prostate cancer patients and 26,600 prostate cancer deaths in 2015. Since 2000, this data has been rising at an annual rate of 12.6%. Prostate cancer is one of the malignant tumors that seriously threaten the life and health of Chinese men. [0003] Biochemical recurrence means that PSA reaches 0.2ng / ml for two consecutive times after radical prostatectomy, which indicates that the possibility of clinical recurrence or metastasis ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/00G16H50/20G16H10/60
CPCG16H30/00G16H50/20G16H10/60
Inventor 冯朝燕闵祥德张配配
Owner 冯朝燕
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