Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland;
Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland.
Anticancer Res. 2023 Apr;43(4):1569-1580. doi: 10.21873/anticanres.16307.
BACKGROUND/AIM: This study assessed the diagnostic accuracy (DA) of fecal immunochemical test (FIT) ColonView (CV) and guaiac-based fecal occult blood test (HemoccultSENSA) among bleed-positive (history or signs of intestinal bleeding) and bleed-negative participants (no history or signs of intestinal bleeding) (n=5,090) in colorectal neoplasia (CRN) screening in Brazil.
The eligible patients for the study (n=506) collected three consecutive stool samples, to be analyzed by both assays (CV, SENSA). Finally, 421/5090 (8.3%) patients returned both samples, which were subjected to final analysis. Receiver operating characteristic (ROC) analysis with different cut-offs was performed to assess the DA.
The area under curve (AUC) values for i) visually analyzed (VA) CV for bleed-positive CRC, ii) automatically analyzed (AA) CV for bleed-positive CRC, iii) VA CV for bleed-negative CRC, and iv) AA CV for bleed-negative CRC as endpoints were as follows: i) AUC=0.864, ii) AUC=0.933, iii) AUC=0.836, and iv) AUC=0.892. In roccomp analysis, the differences in AUC values were: between i) and ii) p=0.068; between i) and iii) p=0.497; between i) and iv) p=0.488; between ii) and iii) p=0.0058; between ii) and iv) p=0.229; and between iii) and iv) p=0.138.
This is the first investigation where two modes of CV test, VA, and AA, for bleed-positive and bleed-negative CRC patients were used as the endpoint. The AA reading of the CV test showed higher DA in bleed-positive than in bleed-negative CRC patients.
背景/目的:本研究评估了粪便免疫化学检测(FIT) ColonView(CV)和基于愈创木脂的粪便隐血检测(HemoccultSENSA)在巴西结直肠癌(CRC)筛查中对阳性出血(有肠道出血史或体征)和阴性出血(无肠道出血史或体征)参与者(n=5090)的诊断准确性(DA)。
本研究纳入了符合条件的 506 名患者,他们连续采集了 3 份粪便样本,由两种检测方法(CV、SENSA)进行分析。最终,有 421/5090(8.3%)名患者返回了两份样本,对其进行了最终分析。采用不同截断值的受试者工作特征(ROC)曲线分析来评估 DA。
以阳性出血 CRC 为终点时,i)CV 视觉分析(VA)、ii)CV 自动分析(AA)、iii)CV 阴性出血 CRC 的 AUC 值分别为:i)AUC=0.864,ii)AUC=0.933,iii)AUC=0.836;以阴性出血 CRC 为终点时,i)CV 视觉分析(VA)、ii)CV 自动分析(AA)、iii)CV 阴性出血 CRC 的 AUC 值分别为:i)AUC=0.892。在 roccomp 分析中,AUC 值的差异为:i)与 ii)间 p=0.068;i)与 iii)间 p=0.497;i)与 iv)间 p=0.488;ii)与 iii)间 p=0.0058;ii)与 iv)间 p=0.229;iii)与 iv)间 p=0.138。
这是首次使用 CV 检测的两种模式(VA 和 AA)对阳性出血和阴性出血 CRC 患者进行评估的研究。在阳性出血 CRC 患者中,CV 检测的 AA 读数显示出比阴性出血 CRC 患者更高的 DA。