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"The Art of "La Celestina^"" by Stephen Gilman (Book Review)
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Wheat rust research—then and now
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S.19.05 Affective and cognitive aspects of pain processing in borderline personality disorder
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Penalty Function Algorithm of Solving Objection Function Controlled Trilevel Linear Programming
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복합적 의사소통 요구를 지닌 장애인을 위한 의사소통 지원센터 설립의 필요성 및 지역 확산을 위한 시사점
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유연구조물의 진동제어를 위한 압전작동기의 응용
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- 저자 : Guotian Ruan (검색결과 1 건)
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Hailun Xie,Yizhen Gong,Jiaan Kuang,Ling Yan,Guotian Ruan,Shuangyi Tang,Feng Gao,Jialiang Gan 대한암학회 2020 Cancer Research and Treatment Vol.52 No.3
Purpose This study aimed to establish whether computed tomography (CT)–determined sarcopenia is a useful imaging biomarker for postoperative outcome in elderly colorectal cancer (CRC) patients, and construct sarcopenia-based nomograms to predict individual outcomes after surgery. Materials and Methods CT imaging data of 298 elderly CRC patients who underwent surgery in 2012-2014 were retrospectively analyzed. Skeletal muscle mass was determined by CT, and sarcopenia was diagnosed based on the optimal cutoff value determined by X-tile program. The correlation between sarcopenia and risk of preoperative nutrition and postoperative complications was evaluated. A Cox proportional hazards model was used to determine survival predictors. Sarcopenia-based nomograms were developed based on multivariate analysis, and calibrated using concordance index and calibration curves. Results A total 132 patients (44.3%) had sarcopenia based on the optimum cutoff values (29.9 cm2/m2 for women and 49.5 cm2/m2 for men). Sarcopenia was an independent risk factor for preoperative nutrition (p < 0.001; odds ratio [OR], 3.405; 95% confidence interval [CI], 1.948 to 5.954) and postoperative complications (p=0.008; OR, 2.192; 95% CI, 1.231 to 3.903). Sarcopenia was an independent predictor for poor progression-free survival (p < 0.001; hazard ratio [HR], 2.175; 95% CI, 1.489 to 3.179) and overall survival (p < 0.001; HR, 2.524; 95% CI, 1.721 to 3.703). Based on multivariate analysis, we produced four nomograms that had better predictive performance. Conclusion CT-determined sarcopenia is a useful imaging biomarker for predicting preoperative nutritional risk, postoperative complications, and long-term outcomes in elderly CRC patients. The sarcopenia-based nomograms can provide a scientific basis for guiding therapeutic schedule and follow-up strategies.
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