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7篇 您的检索式:作者名="Peter Terry M"
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1Model combining pre-transplant tumor biomarkers and tumor size shows more utility in predicting hepatocellular carcinoma recurrence and survival than the BALAD models显示文摘AIM To assess the performance of BALAD, BALAD-2 and their component biomarkers in predicting outcome of hepatocellular carcinoma(HCC) patients after liver transplant.METHODS BALAD score and BALAD-2 class are derived from bilirubin, albumin, alpha-fetoprotein(AFP), Lens culinaris agglutinin-reactive AFP(AFP-L3), and des-gammacarboxyprothrombin(DCP). Pre-transplant AFP, AFP-L3 and DCP were measured in 113 patients transplanted for HCC from 2000 to 2008. Hazard ratios(HR) for recurrence and death were calculated. Univariate and multivariate regression analyses were conducted. C-statistics were used to compare biomarker-based to predictive models. RESULTS During a median follow-up of 12.2 years, 38 patients recurred and 87 died. The HRs for recurrence in patients with elevated AFP, AFP-L3, and DCP defined by BALAD cut-off values were 2.42(1.18-5.00), 1.86(0.98-3.52), and 2.83(1.42-5.61), respectively. For BALAD, the HRs for recurrence and death per unit increased score were 1.48(1.15-1.91) and 1.59(1.28-1.97). For BALAD-2, the HRs for recurrence and death per unit increased class were 1.45(1.06-1.98) and 1.38(1.09-1.76). For recurrence prediction, the combination of three biomarkers had the highest c-statistic of 0.66 vs. 0.64, 0.61, 0.53, and 0.53 for BALAD, BALAD-2, Milan, and UCSF, respectively. Similarly, for death prediction, the combination of three biomarkers had the highest c-statistic of 0.66 vs 0.65,0.61, 0.52, and 0.50 for BALAD, BALAD-2, Milan, and UCSF. A new model combining biomarkers with tumor size at the time of transplant(S-LAD) demonstrated the highest predictive capability with c-statistics of 0.71 and 0.69 for recurrence and death. CONCLUSION BALAD and BALAD-2 are valid in transplant HCC patients, but less predictive than the three biomarkers in combination or the three biomarkers in combination with maximal tumor diameter(S-LAD).Nicha Wongjarupong Gabriela M Negron-Ocasio Roongruedee Chaiteerakij Benyam D Addissie Essa A Mohamed Kristin C Mara William S Harmsen J Paul Theobald Brian E Peters Joseph G Balsanek Melissa M Ward Nasra H Giama Sudhakar K Venkatesh Denise M Harnois Michael R Charlton Hiroyuki Yamada Alicia Algeciras-Schimnich Melissa R Snyder Terry M Therneau Lewis R Roberts 2018World Journal of Gastroenterology2018,24,12:5
2An algorithm overview of surface registration techniques for medical imaging显示文摘 Ferrie Frank P Peter Terry M 2000Medical Image Analysis2000,4,3:1
3An algorithmic overview of surface registration techniques for medical imaging 显示文摘Michel A Audette Frank Terry M Peters Ferrie P 2000Medical Image Analysis2000,4,3:1
4Rapid combined T1 and T2 mapping using gradient Recalled Acquisition in the Steady State显示文摘Sean CL Deoni Brian K Rutt Terry M Peters 2003Magn Resort Med2003,49,3:1
5Relationship between carbonaceous materials and polychlorinated biphenyls (PCBs) in the sediments of the Danshui River and adjacent coastal areas,Taiwan显示文摘Chin-Chang H Gwo-Ching G Kuo-Tung J Kevin M Y Peter H S Terry L Wade Jose L S Hwey-Lian H 2006Chemosphere2006,65,9:1
6Volume Visualization: A Technical Overview with a Focus on Medical Applications 显示文摘Qi Zhang Roy Eagleson Terry M Peters 2011Journal of Digital Imaging (S 1618-727X)2011,24,4:1
7A UK carbon/energytax: the macroeconomics effects显示文摘Terry B Susan B Peter M 2000Energy Policy2000,21,3:1
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