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Automatic analysis method of ki67 index

An automatic analysis and index technology, applied in image analysis, image data processing, image enhancement, etc., can solve the problems of poor reproducibility, inconsistency, time-consuming and laborious results, and achieve the effect of good reproducibility and accurate analysis.

Inactive Publication Date: 2019-04-02
马跃生 +1
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Problems solved by technology

[0004] Through the comparison of the above two methods, the above-mentioned first method is time-consuming and laborious but the result can reflect the Ki67 index most truly; the second method is the most commonly used but the reproducibility of the results is poor, different doctors may give inconsistent results and Physicians need to accumulate relevant clinical experience
[0005] Moreover, there is currently no method to automatically analyze the number of negative and positive nuclei in the selected hotspot area by computer, so as to obtain the percentage of positive nuclei and complete the evaluation of slices.

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  • Automatic analysis method of ki67 index
  • Automatic analysis method of ki67 index
  • Automatic analysis method of ki67 index

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Embodiment 1

[0031] The present embodiment provides a method for automatic analysis of Ki67 index, which realizes automatic analysis of computer Ki67 index by identifying hotspot areas in digital images, and helps physicians better evaluate the degree of Ki67 positivity; and includes the following steps:

[0032] S10. Image preprocessing.

[0033] In this embodiment, for the analysis of the Ki67 index, it is first necessary to realize the identification of hotspot areas in the all-digital image; for this reason, the digital image needs to be preprocessed, but when the magnification of the digital image is 40, due to the amount of data Larger, resulting in more time-consuming screening of hotspot areas, therefore, it is necessary to scale down the digital image with an original magnification of 40 times to an appropriate magnification, and then perform hotspot area screening. In this embodiment, by A large number of tests have shown that it is appropriate to reduce the digital image with an...

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Abstract

The invention discloses a Ki67 index automatic analysis method which is characterized by comprising the following steps: S10, image preprocessing; S20, hotspot region screening; S30, cell counting; and S40, result output. The Ki67 index automatic analysis method of the invention has good reproducibility. Ki67 digital images are automatically analyzed in batch through a computer to get a Ki67 index stably and efficiently, negative and positive nucleuses are marked in different colors in the digital images, and a hotspot region is identified quickly through an algorithm and negative and positive nucleuses in the hotspot region are counted, which can help medical workers to analyze histopathological characteristics more accurately.

Description

technical field [0001] The invention relates to a statistical method for data, in particular to an automatic analysis method for Ki67 index. Background technique [0002] The diagnosis of neuroendocrine tumors involves the investigation of the mitotic index, and the Ki67 index can reflect the mitotic status in the tissue to a certain extent. In the evaluation of the Ki67 index issued by the WHO, physicians need to examine the area with the highest positive expression in the tissue. By counting 500-2000 tumor cells were used to evaluate the Ki67 positive status of the tissue. In the actual process, the doctor quickly checked the hot spots in the section under the low-power microscope, and then evaluated the Ki67 index by counting the positive and negative cells in the hot spots in 10 high-power fields of view. [0003] At present, two methods are mainly used in the evaluation of Ki67 index, namely: 1) output the hotspot area as a picture, and print it out. The doctor counts ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/155G06T7/00
CPCG06T7/0012G06T2207/10056G06T2207/20021G06T2207/20152G06T2207/30242
Inventor 马跃生肖雨
Owner 马跃生
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