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Development and validation of a circulating tumor DNA-based optimization-prediction model for short-term postoperative recurrence of endometrial cancer
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作者 Yuan Liu Xiao-Ning Lu +3 位作者 hui-ming guo Chan Bao Juan Zhang Yu-Ni Jin 《World Journal of Clinical Cases》 SCIE 2024年第18期3385-3394,共10页
BACKGROUND Endometrial cancer(EC)is a common gynecological malignancy that typically requires prompt surgical intervention;however,the advantage of surgical management is limited by the high postoperative recurrence r... BACKGROUND Endometrial cancer(EC)is a common gynecological malignancy that typically requires prompt surgical intervention;however,the advantage of surgical management is limited by the high postoperative recurrence rates and adverse outcomes.Previous studies have highlighted the prognostic potential of circulating tumor DNA(ctDNA)monitoring for minimal residual disease in patients with EC.AIM To develop and validate an optimized ctDNA-based model for predicting shortterm postoperative EC recurrence.METHODS We retrospectively analyzed 294 EC patients treated surgically from 2015-2019 to devise a short-term recurrence prediction model,which was validated on 143 EC patients operated between 2020 and 2021.Prognostic factors were identified using univariate Cox,Lasso,and multivariate Cox regressions.A nomogram was created to predict the 1,1.5,and 2-year recurrence-free survival(RFS).Model performance was assessed via receiver operating characteristic(ROC),calibration,and decision curve analyses(DCA),leading to a recurrence risk stratification system.RESULTS Based on the regression analysis and the nomogram created,patients with postoperative ctDNA-negativity,postoperative carcinoembryonic antigen 125(CA125)levels of<19 U/mL,and grade G1 tumors had improved RFS after surgery.The nomogram’s efficacy for recurrence prediction was confirmed through ROC analysis,calibration curves,and DCA methods,highlighting its high accuracy and clinical utility.Furthermore,using the nomogram,the patients were successfully classified into three risk subgroups.CONCLUSION The nomogram accurately predicted RFS after EC surgery at 1,1.5,and 2 years.This model will help clinicians personalize treatments,stratify risks,and enhance clinical outcomes for patients with EC. 展开更多
关键词 Circulating tumor DNA Endometrial cancer Short-term recurrence Predictive model Prospective validation
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Automated Ultra-High Density Mapping in atrial fibrillation hybrid procedure
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作者 Fang-Zhou LIU Hong-Tao LIAO +5 位作者 Jian LIU Yu-Mei XUE Xian-Zhang ZHAN Wei-Dong LIN hui-ming guo Shu-Lin WU 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2018年第5期379-381,共3页
A 70-year-old female visited our hospital due to a 5-year history of long-standing persistent atrial fibrillation (LSPsAF) refractory to medical treatment. Chest x-ray and echocardiography were free of abnormalities... A 70-year-old female visited our hospital due to a 5-year history of long-standing persistent atrial fibrillation (LSPsAF) refractory to medical treatment. Chest x-ray and echocardiography were free of abnormalities and did not detect manifest structural heart disease. A hybrid AF pro- cedure (Epicardial thoracoscopic ablation + appendage re- section, and endocardial catheter ablation) was referred to patient. 展开更多
关键词 Atrial fibrillation HYBRID Ultra-high density
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