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Research ArticleClinical Studies

The Diagnostic Accuracy (DA) of ColonView Fecal Immunochemical Test (FIT) in Detecting Colorectal Adenoma (CRA) Can Be Improved by the Diagnostic Models (DM) that Include Triage and Risk Features of CRA

MAARET ESKELINEN, JANNICA MEKLIN, DENISE PEIXOTO GUIMARAES, TUOMAS SELANDER, KARI SYRJÄNEN and MATTI ESKELINEN
Anticancer Research January 2024, 44 (1) 173-184; DOI: https://doi.org/10.21873/anticanres.16800
MAARET ESKELINEN
1Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland;
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  • For correspondence: matti.eskelinen@kuh.fi
JANNICA MEKLIN
1Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland;
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DENISE PEIXOTO GUIMARAES
2Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil;
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TUOMAS SELANDER
3Science Service Center, Kuopio University Hospital, Kuopio, Finland;
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KARI SYRJÄNEN
2Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil;
4SMW Consultants, Ltd., Kaarina, Finland
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MATTI ESKELINEN
1Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland;
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Abstract

Background/Aim: This study assessed whether the diagnostic accuracy (DA) of ColonView (CV) fecal immunochemical test (FIT) in detecting colorectal adenoma (CRA) can be improved by the diagnostic models (DM) that include triage and risk features of CRA. Patients and Methods: A total of 5,090 participants of colorectal neoplasia (CRN) screening were recruited prospectively between January 2014 and December 2016. The CRN cohort of 486 patients included 222 CRA patients and 264 non-CRA patients of whom three consecutive fecal samples were analyzed by two fecal occult blood (FOB) assays (CV FIT test, HemoccultSENSA test). Hierarchical multilevel logistic models were used to test the DA of CV test and DMs, visualised as hierarchical summary receiving operating characteristic (HSROC) curves. Results: In conventional receiving operating characteristic (ROC) analysis, the area under the curve (AUC) values of the age, height, weight, and body mass index (BMI) were 0.60, 0.57, 0.54, and 0.51, respectively. The AUC values for different DMs ranged from 0.69 (for DM without triage I/II and SENSA), and the highest AUC value of 0.70 was reached for DM with all variables included. In HSROC analysis, the AUC values for i) lowR variables, ii) highR variables, and ii) DMs were as follows: i) AUC=0.506, ii) AUC=0.566 and iii) AUC=0.732. The differences in AUC values were: between i) and ii) p=0.008; between i) and iii) p<0.0001; between ii) and iii) p<0.0001. Conclusion: The results demonstrated that DMs, particularly those including risk factors, significantly improved the DA of the CV FIT test in detecting CRA compared to traditional low-risk (lowR) and high-risk (highR) features alone. This study provides novel evidence supporting the enhanced diagnostic performance of DMs in combination with CV FIT testing for the detection of CRA.

Key Words:
  • Colorectal adenoma
  • clinical features
  • FIT
  • diagnosis
  • multivariate analysis
  • Received November 12, 2023.
  • Revision received December 2, 2023.
  • Accepted December 4, 2023.
  • Copyright © 2024 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.
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Anticancer Research: 44 (1)
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The Diagnostic Accuracy (DA) of ColonView Fecal Immunochemical Test (FIT) in Detecting Colorectal Adenoma (CRA) Can Be Improved by the Diagnostic Models (DM) that Include Triage and Risk Features of CRA
MAARET ESKELINEN, JANNICA MEKLIN, DENISE PEIXOTO GUIMARAES, TUOMAS SELANDER, KARI SYRJÄNEN, MATTI ESKELINEN
Anticancer Research Jan 2024, 44 (1) 173-184; DOI: 10.21873/anticanres.16800

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The Diagnostic Accuracy (DA) of ColonView Fecal Immunochemical Test (FIT) in Detecting Colorectal Adenoma (CRA) Can Be Improved by the Diagnostic Models (DM) that Include Triage and Risk Features of CRA
MAARET ESKELINEN, JANNICA MEKLIN, DENISE PEIXOTO GUIMARAES, TUOMAS SELANDER, KARI SYRJÄNEN, MATTI ESKELINEN
Anticancer Research Jan 2024, 44 (1) 173-184; DOI: 10.21873/anticanres.16800
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  • Artificial Intelligence Models Could Enhance the Diagnostic Accuracy (DA) of Fecal Immunochemical Test (FIT) in the Detection of Colorectal Adenoma in a Screening Setting
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Keywords

  • Colorectal adenoma
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  • diagnosis
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