METHOD FOR DETERMINING INDICATIONS FOR REMOVAL OF PRIMARY TUMOUR IN PATIENT WITH SYNCHRONOUS DISTANT METASTASES OF COLORECTAL CANCER IN PRESENCE OF INTESTINAL OBSTRUCTION Russian patent published in 2024 - IPC G16H50/30 G16H20/40 A61B6/03 

Abstract RU 2818550 C1

FIELD: medicine.

SUBSTANCE: invention refers to medicine, namely to oncology, and can be used to determine indications for removal of a primary tumour in a patient with synchronous distant metastases of colorectal cancer in the presence of intestinal obstruction. At the first stage of analysis, if observing a metastatic lesion of two or more internal organs, it is determined that the operation to remove the primary tumour is not indicated. In the absence of metastasis of two or more internal organs, the second stage of analysis follows: if the albumin/globulin coefficient falls below 1.5, the operation to remove the primary tumour is not indicated. If there is no decrease in the albumin/globulin coefficient below 1.5, the third stage follows: if the leukocyte Krebs index is more than 2.2, removal of the primary tumour is indicated. If the Krebs leukocyte index is below 2.2, the fourth stage is indicated: if the MCV index is below 80 in combination with the targeted therapy with angiogenesis inhibitors, removal of the primary tumour is indicated. If the MCV index is below 80 in combination with the targeted therapy with epithelial growth factor blockers, the operation to remove the primary tumour is not indicated. If the MCV index is more than 80 regardless of the planned course of the targeted therapy, the operation to remove the primary tumour is not indicated.

EFFECT: method provides improving the survival time of the patient with metastatic colorectal cancer complicated by intestinal obstruction due to a step-by-step sequential algorithm for assessing the following parameters: number of internal organs affected by metastases, albumin/globulin coefficient, leukocyte Krebs index, MCV index, scheme of forthcoming targeted therapy.

1 cl, 4 ex

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RU 2 818 550 C1

Authors

Shvets Denis Sergeevich

Kaganov Oleg Igorevich

Orlov Andrej Evgenevich

Gabrielyan Aleksej Grigorevich

Tkachev Maksim Valerevich

Kaganova Tatyana Olegovna

Dates

2024-05-02Published

2023-10-11Filed