The existing classification system is too complex and has poor usability.
New classification system, easy to understand and based on meta-analysis statistics
A domestic research team announced a new classification system that simplifies the existing lung cancer oligometastasis classification system.
According to Korea University Ansan Hospital on the 7th, Professor Lim Chae-hong of the Department of Radiation Oncology and students Kang Han-seung and Do Woo-hyeon of the College of Medicine announced a new lung cancer oligometastasis classification system using systematic literature analysis and meta-analysis methods.
Oligometastasis is a condition in which there are fewer than 3 to 5 metastatic foci, and treatment can be attempted with radiosurgery or active surgery.
The previously used European Society of Cancer-Radiation Oncology (EORTC-ESTRO) oligometastasis classification system is classified into 9 stages and is not widely used in clinical practice because it is overly complex and lacks discriminability. Accordingly, the research team proposed a new classification method that integrated three stages through literature analysis and meta-analysis methods to simplify the classification system and make it easier to apply in clinical practice.
The research team first classified lung cancer oligometastases into ▲Synchronous oligometastases, in which metastases occur simultaneously with the initial diagnosis of cancer ▲Oligopersistence oligometastases, in which the disease remains stable after initial treatment ▲Oligometastases in which metastases recur or progress after initial treatment It was classified as recurrent oligometastasis. Afterwards, the benefits of radiosurgery and active surgery were analyzed for all three groups, and the treatment effect in each classification group was confirmed.
As a result of the study, when radiosurgery or active surgery was attempted for lung cancer oligometastasis, the survival rate significantly improved, and the recurrence-free rate also increased significantly. In the analysis of the recurrence-free rate to confirm the treatment effect for each group, the treatment effect was highest in the following order: ▲synchrony (odds ratio 5.631) ▲persistence (odds ratio 3.484) ▲recurrence (odds ratio 1.702) oligometastasis.
Professor Lim Chae-hong of the Department of Radiation Oncology at Korea University Ansan Hospital said, “Ole metastases are an important prognostic indicator that has recently been used as a standard for insurance claims by the Health Insurance Review and Assessment Service.” He added, “Active local treatment such as radiation surgery or active surgery is necessary, but the classification system for oligometastases is poor.” “It is difficult and there are differences of opinion among doctors,” he explained.
He continued, “The classification system created by the researchers is easy to understand and is based on meta-analysis statistics, so it is expected that it can be used to enable customized treatment strategies and improve the prognosis of patients with metastatic cancer.”
The results of this study were published in the latest issue of the international academic journal ‘European journal of cancer’. The journal is the official journal of the European Cancer Society.
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2024-10-07 10:36:39