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Colorectal cancer collagen evaluation and prognosis prediction device and storage medium

A storage medium, collagen technology, applied in the field of medical imaging, can solve the problem of lack of tumor microenvironment assessment

Active Publication Date: 2022-04-08
NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV
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  • Claims
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Problems solved by technology

On the other hand, the TNM staging device focuses on the characteristics of the tumor itself, but lacks the assessment of the "soil" of the tumor microenvironment

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  • Colorectal cancer collagen evaluation and prognosis prediction device and storage medium
  • Colorectal cancer collagen evaluation and prognosis prediction device and storage medium
  • Colorectal cancer collagen evaluation and prognosis prediction device and storage medium

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Embodiment Construction

[0043]The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0044] The TNM staging system is the most common tumor staging system in the world. The TNM staging system has become a standard method for clinicians and medical scientists to stage malignant tumors, that is, to evaluate and stage tumors by assessing primary tumor (Tumor), lymph node involvement (Nodes) and distant metastasis (Metastasis). , and predict prognosis.

[0045] However, the TNM staging system still has certain limitations. On the on...

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Abstract

The invention discloses a computer readable storage medium. When the content of the computer readable storage medium is executed by the processor, multi-photon imaging can be performed on a pathological tissue section containing tumor environment information, and pathological division of a tumor microenvironment is further performed through image processing; extracting various collagen characteristic parameter values, such as morphology, energy and texture characteristic parameters, from three areas of tumor tissue, invasion edge and normal tissue; calculating differences and variation degrees among the regions according to the region feature parameters; establishing a collagen feature scoring model; calculating a collagen characteristic score through collagen characteristic parameters included in the model; the collagen feature score can well supplement the evaluation deficiency of a TNM staging system on tumor microenvironment soil, and more effectively provides reference for prognosis prediction of colorectal cancer.

Description

technical field [0001] The present application relates to the technical field of medical imaging, in particular to a colorectal cancer collagen evaluation and prognosis prediction device and storage medium. Background technique [0002] Colorectal cancer is one of the most common malignant tumors in the world, and its incidence has increased significantly in recent years. In the prediction and judgment of colorectal cancer, the TNM staging system is the most widely used method for collagen evaluation and prognosis prediction. Assessment and staging to predict prognosis. [0003] However, the TNM staging system still has certain limitations. On the one hand, the clinical outcomes of patients of the same stage after receiving similar treatment regimens are also quite different, and this difference is more prominent in stage II and III colorectal cancer. On the other hand, the TNM staging device focuses on the characteristics of the tumor itself and lacks the assessment of t...

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Application Information

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IPC IPC(8): G06T7/00G06V10/25G06V10/44G16H50/20
CPCG16H50/20G06T7/00G06V10/44G06V10/25G06V2201/03G06V10/449G06T7/0012G06T2207/30028G06T2207/30096
Inventor 严俊董淑敏陈伟生董小玉刘秀敏赵书涵程家鑫董彦凤蒋伟陈德鑫
Owner NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV
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