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Zhou RC, Wang PZ, Li YY, Zhang Y, Ma MJ, Meng FY, Liu C, Yang XY, Lv M, Zuo XL, Li YQ. Quality Improvement of Sample Collection Increases the Diagnostic Accuracy of Quantitative Fecal Immunochemical Test in Colorectal Cancer Screening: A Pilot Study. Front Med (Lausanne) 2021; 8:762560. [PMID: 34765625 PMCID: PMC8575757 DOI: 10.3389/fmed.2021.762560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 09/22/2021] [Indexed: 01/02/2023] Open
Abstract
Objective: The diagnostic efficiency of the quantitative fecal immunochemical test (qFIT) has large variations in colorectal cancer (CRC) screening. We aimed to explore whether the practical sample collection operant training could improve the diagnostic accuracy of the qFIT in CRC screening. Methods: Moderate-/high-risk individuals aged 50–75 years old were invited to participate in a prospective observational study between July 2020 and March 2021. Participants took a qFIT sample without fecal sample collection operant training in advance and then completed another qFIT sample after the operant training. The primary outcome was the sensitivity and specificity of the qFITs for CRC and advanced colorectal neoplasia (ACRN). The secondary outcome was the difference in the area under the curves (AUCs) and the concentrations of the fecal hemoglobin (Hb) between the qFIT without and after the operant training. Results: Out of 913 patients, 81 (8.9%) patients had ACRN, including 25 (2.7%) patients with CRC. For CRC, the sensitivities of the qFIT without and after the operant training at 10 μg/g were 80.4 and 100.0%, respectively, and the specificities were 90.1 and 88.4%, respectively. For ACRN, the sensitivities were 49.4 and 69.1% and the specificities were 91.7 and 91.3%, respectively. The AUC of the qFIT after the operant training was significantly higher than that without the operant training for CRC (p = 0.027) and ACRN (p = 0.001). After the operant training, the concentration of the fecal Hb was significantly higher than that without the operant training (p = 0.009) for ACRN, but there was no significant difference for CRC (p = 0.367). Conclusion: Practical sample collection operant training improves the diagnostic accuracy of the qFIT, which increases the detection of the low concentrations of fecal Hb. Improving the quality of the sample collection could contribute to the diagnostic efficiency of the qFIT in CRC screening.
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Affiliation(s)
- Ru-Chen Zhou
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Pei-Zhu Wang
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Yue-Yue Li
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Yan Zhang
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Ming-Jun Ma
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Fan-Yi Meng
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Chao Liu
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Xiao-Yun Yang
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Ming Lv
- Clinical Epidemiology Unit, Qilu Hospital, Shandong University, Jinan, China
| | - Xiu-Li Zuo
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
| | - Yan-Qing Li
- Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Laboratory of Translational Gastroenterology, Qilu Hospital, Shandong University, Jinan, China.,Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital, Shandong University, Jinan, China
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