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Background Rectal cancer liver metastasis (CLM) local tumor progression (LTP) after radio frequency ablation was associated with poor survival.
algorithmic decision-making schemes may help optimize the selection of CLM patients who can benefit most from row RFA.
objective Of this study, the purpose of this study is to evaluate the survival of local tumor progression (LTPFS) in CLM patients with RFA, and to establish an algorithmic clinical decision-making scheme based on clinical indicators.
retrospective study of materials and methods was included in CLM patients with persexual RFA and randomly divided into established groups (60%) and internal validation groups (40%).
used the Kaplan-Meier method to evaluate LTPFS and overall lifetime (OS) rates.
use multiple Cox proportion hazard regression analysis evaluation to establish independent indicators affecting LTPFS in the group.
the risk metrics and apply them to the validation group.
results were evaluated in 365 patients (a total of 512 CLMs).
1 year LTPFS and OS rate were 85% and 92%, respectively, 5 years LTPFS and OS rate was 73%, 41%, 10 years LTPFS and OS rate was 72%, 30%, and 15 years LTPFS and OS rate were 72% and 28%, respectively.
independent risk factors for ltP include tumor ≥ 2cm (hazard ratio (HR), 3.8; 95% CI: 2.3, 6.2; P .lt; .001), tumor location (HR, 1.9; 95% CI: 1.1, 3.1; P - .02) and minimum ablation boundary ≤ 5mm (HR, 11.7; 95% CI: 4.7, 29.2; P < .001)。
the prediction model established by using the risk index is 0.89, 0.92 and 0.90 under the forecast curve of 1 year≤, 5 years and 10 years respectively.
concluded that radio frequency ablation has long-term control effect on liver metastasis of colorectal cancer.
although the minimum ablation boundary ≤5mm is the main cause of evaluating the progression-free survival of local tumors, the model including tumor size and location has a more predictive effect.
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