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A method and system for determining ki67 index

A determination method and index technology, applied in the field of ki67 index determination method and system, can solve problems such as low Ki67, no non-invasive information prediction Ki67 index found, weak supervision, etc.

Active Publication Date: 2022-05-17
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are few studies on the prediction of Ki67. FuyongXing et al. designed a weakly supervised semantic segmentation network based on stained pathological images to predict the Ki67 index of tumors. No research has been found on the use of non-invasive information to predict the Ki67 index.

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  • A method and system for determining ki67 index
  • A method and system for determining ki67 index
  • A method and system for determining ki67 index

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Embodiment Construction

[0038] The technical solutions of the present invention will be described in detail below through specific embodiments and in conjunction with the accompanying drawings.

[0039] A method for determining the ki67 index: comprising the following steps:

[0040] Dataset construction

[0041] The data comes from the patients who visited the Neurosurgery Department of Xiangya Hospital of Central South University in the past three years (2017-2020). All the patients included in the study were diagnosed with glioma after postoperative pathological diagnosis, including the data of 263 patients. The data content Contains basic patient information metadata (gender, age), two horizontal modalities (T1C, T2 Flair) MRI images, postoperative pathological test Ki67 index results (according to WHO guidelines, we call Ki67 index less than 10% Low Ki67 index, marked as 0, the rest are called high Ki67 index, marked as 1 [15]). Among them, there were 113 male patients, the age distribution ra...

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Abstract

The invention discloses a method and system for determining the ki67 index, comprising the following steps: step 1, establishing a data set of glioma patients; step 2, transferring the data set to the KiNet cascade neural network; step 3, obtaining the trained KiNet cascaded neural network; step 4, input the patient's gender, age, T1C modality image and T2Flair modality image of the MRI image to the trained KiNet cascaded neural network to obtain the Ki67 index. The invention can more accurately predict the ki67 index according to the patient information, so as to make more timely and effective treatment plan for the glioma patients.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method and system for determining a ki67 index. Background technique [0002] Glioma is the deadliest tumor of the central nervous system, and the World Health Organization (WHO) genome analysis of glioma has identified several important molecular markers (such as isocitrate dehydrogenase mutation status and 1p / 19q co-expression). Deletion status, etc.), in addition to being used for histopathological classification, it can also be used for subtype identification to guide clinical decision-making. Among them, the Ki67 index (theKi67 index) can be used clinically to measure the degree of tumor proliferation, predict the patient's survival period and recurrence. Generally speaking, a high Ki67 index corresponds to a shorter survival period and a higher recurrence rate. Therefore, different Ki67 indexes often correspond to different treatment options. If the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/73G06T5/50G06N3/04G06N3/08G16H20/40G16H30/00G16B20/00
CPCG06T7/0012G06T7/73G06T5/50G06N3/08G16H20/40G16H30/00G16B20/00G06T2207/20081G06T2207/20084G06T2207/20104G06T2207/20221G06T2207/30016G06T2207/30096G06T2207/10088G06N3/045
Inventor 谢斌万思远徐勇李旭辉向烽胡建中黄伟红
Owner CENT SOUTH UNIV