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Fecal immunochemical test accuracy in average-risk colorectal cancer screening
Authors:Vicent Hernandez  Joaquin Cubiella  M Carmen Gonzalez-Mao  Felipe Iglesias  Concepción Rivera  M Bego?a 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
Affiliation:Vicent Hernandez;Joaquin Cubiella;M Carmen Gonzalez-Mao;Felipe Iglesias;Concepción Rivera;M Begoa 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;Department of Gastroenterology, Complexo Hospitalario Universitario de Vigo;Department of Gastroenterology, Complexo Hospitalario Universitario de Ourense;Department of Clinical Analysis, Complexo Hospitalario Universitario de Vigo;Department of Pathology, Complexo Hospitalario Universitario de Vigo;Department of Gastroenterology, Donostia Hospital, Biodonostia Institute, University of the Basque Country UPV/EHU;
Abstract: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 FIT1 and 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.
Keywords:Colorectal neoplasms   Early detection of cancer   Sensitivity and specificity   Adenoma   Occult blood   Cost-benefit analysis
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