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Clinical prognosis prediction model before surgical operation of initial non-resectable hepatocellular carcinoma

A predictive model and surgical technology, applied in the field of biomedicine, can solve the problems of late detection of patients, no preoperative prognosis prediction model of SLR, unresectable HCC population, etc., and achieve the effect of simple and easy-to-use model

Pending Publication Date: 2021-10-01
ZHONGSHAN HOSPITAL FUDAN UNIV
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Problems solved by technology

At present, although liver resection is the first choice for the treatment of early-stage HCC, less than 1 / 3 of patients with primary HCC in my country can undergo surgical resection because most patients are diagnosed late.
Currently, there is no report on a simple, reliable and practical SLR preoperative prognosis prediction model for TACE+SLR treatment of initially unresectable HCC population

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  • Clinical prognosis prediction model before surgical operation of initial non-resectable hepatocellular carcinoma

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Embodiment

[0025] 1. General information:

[0026] From January 2010 to December 2016, the clinical data of 393 patients with initially unresectable HCC who received TACE+SLR in Zhongshan Hospital Affiliated to Fudan University were retrospectively analyzed. This study was approved by the Ethics Committee of Zhongshan Hospital Affiliated to Fudan University (approval number: B2021-068R).

[0027] The inclusion and exclusion criteria of this study are as follows:

[0028] 1.1. Inclusion criteria:

[0029] (1) Liver histopathological specimens confirmed as HCC;

[0030] (2) All patients received TACE before salvage surgical resection, and the number of TACE was unlimited;

[0031] (3) Unresectable hepatocellular carcinoma is defined as: A, patients with stage IIb and IIIa in China liver cancer stage (CNLC); B, patients with large lesions or high-risk sites (large blood vessels, diaphragm, Porta hepatis, etc.) some unresectable stage Ib, IIa patients.

[0032] (4) ECOG 0-2 points; Chil...

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Abstract

The invention relates to a clinical prognosis prediction model before surgical operation of initial non-resectable hepatocellular carcinoma, and belongs to the technical field of biological medicine. The prediction model is a Nomogram model constructed based on Cox regression analysis of pre-surgical data; the model comprises five key influence factors including SLR prealpha fetoprotein, the number of cancerous lesions, portal vein cancerous embolus, the maximum diameter of a main tumor and tumor load change after TACE treatment. Through the SLR pre-operation selection of the prognosis prediction model for initial non-resection HCC in TACE + SLR treatment, people which can better survive and benefit from SLR can be screened out, and clinical guidance is provided for selection of patients suitable for remedy liver resection after TACE treatment; and accurate and individualized long-term survival prediction can be carried out on HCC patients who are ready to receive remedial liver resection treatment before surgical operation, so that more accurate individualized treatment of liver cancer is facilitated.

Description

technical field [0001] The invention relates to a clinical prognosis prediction model before surgery for initial unresectable hepatocellular carcinoma, belonging to the technical field of biomedicine. Background technique [0002] Hepatocellular carcinoma (Hepatocellular carcinoma, HCC) accounts for about 85%-90% of primary liver cancer, and "liver cancer" in the present invention specifically refers to HCC. The number of new patients with HCC worldwide is about 800,000 every year, ranking second in the cause of cancer death. In China, HCC is the fourth most common malignant tumor and the second leading cause of cancer death. Nearly 50% of the newly discovered patients in the world are in my country, so it poses a great threat to the life and health of our people. Different from western countries, HCC patients in my country have unique characteristics in eastern countries. HBV infection (more than 80%) is the main cause, and HCV infection and other non-infectious causes acc...

Claims

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Application Information

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IPC IPC(8): G16H20/40G06Q10/04
CPCG16H20/40G06Q10/04
Inventor 徐李刚刘嵘王建华钱晟张巍杨国威
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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