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| 1 | Fecal immunochemical test accuracy in average-risk colorectal cancer screening显示文摘AIM:To assess the fecal immunochemical test(FIT)accuracy for colorectal cancer(CRC)and advanced neoplasia(AN)detection in CRC screening.METHODS:We performed a multicentric,prospective,double blind study of diagnostic tests on asymptomatic average-risk individuals submitted to screening colonoscopy.Two stool samples were collected and the fecal hemoglobin concentration was determined in the first sample(FIT1)and the highest level of both samples(FITmax)using the OC-sensor.Areas under the curve(AUC)for CRC and AN were calculated.The best FIT1and FITmax cut-off values for CRC were determined.At this threshold,number needed to scope(NNS)to detect a CRC and an AN and the cost per lesion detected were calculated.RESULTS:About 779 individuals were included.An AN was found in 97(12.5%)individuals:a CRC in 5(0.6%)and an advanced adenoma(≥10 mm,villous histology or high grade dysplasia)in 92(11.9%)subjects.For CRC diagnosis,FIT1 AUC was 0.96(95%CI:0.95-0.98)and FITmax AUC was 0.95(95%CI:0.93-0.97).For AN,FIT1 and FITmax AUC were similar(0.72,95%CI:0.66-0.78 vs 0.73,95%CI:0.68-0.79,respectively,P=0.34).Depending on the number of determinations and the positivity threshold cut-off used sensitivity for AN detection ranged between 28%and 42%and specificity between 91%and 97%.At the best cut-off point for CRC detection(115 ng/mL),the NNS to detect a CRC were 10.2 and 15.8;and the cost per CRC was 1814€and 2985€on FIT1 and FITmax strategies respectively.At this threshold the sensitivity,NNS and cost per AN detected were 30%,1.76,and 306€,in FIT1 strategy,and 36%,2.26€and 426€,in FITmax strategy,respectively.CONCLUSION:Performing two tests does not improve diagnostic accuracy,but increases cost and NNS to detect a lesion. | Vicent Hernandez Joaquin Cubiella M Carmen Gonzalez-Mao Felipe Iglesias Concepción Rivera M Begoa Iglesias Lucía Cid Ines Castro Luisa de Castro Pablo Vega Jose Antonio Hermo Ramiro Macenlle Alfonso Martínez-Turnes David Martínez-Ares Pamela Estevez Estela Cid M Carmen Vidal Angeles López-Martínez Elisabeth Hijona Marta Herreros-Villanueva Luis Bujanda Jose Ignacio Rodriguez-Prada the COLONPREV study investigators | 2014 | World Journal of Gastroenterology2014，20，4： | 4 |
| 2 | Learning and optimization using the clonal selection principle 显示文摘 | Castro L N D Von Zuben F J | 2002 | IEEE Transactions on Evolutionary Computation2002，6，3： | 1 |
| 3 | Business and so- cial reputation: Exploring the concept and main Dimen- sions of corporate reputation 显示文摘 | De Castro G M Lopez J E N Sdez P L | 2006 | Journal of Business Ethics2006，63，4： | 1 |
| 4 | The Construction of a Boolean Competitive Neural Network Using Ideas from Immunology显示文摘 | Von Zuben F J De Deus J G A | 2003 | Neurocomputing2003，50，： | 1 |
| 5 | Learning and optimization using the clonal selection 显示文摘 | De Castro L N Zuben V | 2002 | Artificial Immune System (AIS)2002，6，3： | 1 |
| 6 | Immune and neural network models: theoretical and empirical comparisons 显示文摘 | de CASTRO L N van ZUBEN F J | 2001 | International Journal of Computational Intelligence and Applications2001，1，3： | 1 |
| 7 | Learning and optimization using the clonal selection principle 显示文摘 | CASTRO L N D ZUBEN F J V | 2002 | IEEE Transactions on Evolutionary Computation2002，6，3： | 1 |
| 8 | Learning and Optimization Using the Clonal Selection Principle显示文摘 | De Castro L N Von Zuben F J | 2002 | IEEE Trans on Evolutionary Computation2002，6，3： | 1 |
| 9 | Learning and optimization using the clonal selection principle 显示文摘 | DE CASTRO L N VON ZUBEN F J | 2002 | IEEE Trans Evolutionary Computation Special Issue on Artificial Immune Systems2002，6，3： | 1 |
| 10 | Learning and optimization using the clonal selection principle显示文摘 | CASTRO L N ZUHEN F J | 2002 | IEEE Transaction On Evolution Computation2002，6，3： | 1 |
| 11 | Learning and Optimization Usingthe Clonal Selection Principle显示文摘 | De Castro L N Von Zuben F J | 2000 | IEEE Transactions on Evolu-tionary Computation2000，6，3： | 1 |
| 12 | Learning and optimization using the clonal selection principle显示文摘 | CASTRO L N ZUBEN F J | 2002 | IEEE Transactions On Evolutionary Computation2002，6，3： | 1 |
| 13 | Learning and optimization using the clonal selection principle显示文摘 | De CASTRO L N Von ZUBEN F J | 2002 | IEEE Transactions on Evolutionary Computation2002，6，3： | 1 |
| 14 | Artificial Immune Systems as a Novel Soft Computing Paradigm显示文摘 | L N de Castro Timmis J | 2003 | Soft Computing2003，7，8： | 1 |
| 15 | Learning and optimization using the clonal selection principle显示文摘 | De Castro L N Von Zuben F J | 2002 | IEEE Transactions on Evolutionary Computation2002，6，3： | 1 |
| 16 | Learning and Optimization Using the Clone Selection Prineiple显示文摘 | de Castro L N von Zuben F J | 2002 | IEEE Trans on Evolutionary Computation2002，6，3： | 1 |
| 17 | Studies on the density,heat capacity,surface tension and infinite dilution diffu-sion with the ionic liquids , , and 显示文摘 | de CASTRO C A N LANGA E MORAIS A L | 2010 | Fluid Phase Equilibria2010，294，12： | 1 |
| 18 | Learning and optimization using the clonal selection principle 显示文摘 | De Castro L N Von Zuben F J | 2002 | IEEE Trans on evolutionary computation (S 1089-778X)2002，6，3： | 1 |
| 19 | Artificial immune systems as a novel soft computing paradigm显示文摘 | de Castro L N Timmis J | 2003 | Soft Computing2003，7，8： | 1 |
| 20 | Learning and optimization using the clonal selection principle 显示文摘 | de Castro L N Zuben F J V | 2002 | IEEE Transactions on Evolutiorulry Computation2002，6，3： | 1 |
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