Objectives: Faecal immunochemical testing for haemoglobin (FIT) is used to triage patients for colonic investigations. Point-of-care (POC) FIT devices on the market have limited data for their diagnostic accuracy for colorectal cancer (CRC). Here, a POC FIT device is compared with a laboratory-based FIT system using patient collected samples from the urgent referral pathway for suspected CRC.
Methods: A prospective, observational cohort study. Patients collected two samples from the same stool. These were measured by POC QuikRead go (Aidian Oy, Espoo, Finland) and laboratory-based FOB Gold Wide (Sentinel Diagnostics, Italy). Faecal haemoglobin <10 μg haemoglobin/g of faeces was considered as negative. At this threshold, comparisons between the two systems were made by calculating percentage agreement and Cohen's kappa coefficient. Proportion of negative results were compared with Chi squared testing. Sensitivities for CRC were calculated.
Results: A total of 629 included patients provided paired samples for FIT to compare the QuikRead go and FOB Gold Wide. The agreement around the negative threshold was 83.0% and Cohen's kappa coefficient was 0.54. The QuikRead go reported 440/629 (70.0% of samples) as negative compared to 523/629 (83.1%) for the FOB Gold Wide, this difference was significant (p-value<0.001). Sensitivities for CRC detection by the QuikRead go and FOB Gold Wide were 92.9% (95% confidence interval (CI): 68.5-98.7%) and 100% (CI: 78.5-100%) respectively.
Conclusions: Both systems were accurate in their ability to detect CRC. Whilst good agreement around the negative threshold was identified, more patients would be triaged to further colonic investigation if using the QuikRead go.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1515/cclm-2021-0655 | DOI Listing |
Aliment Pharmacol Ther
January 2025
Gastrointestinal and Liver Theme, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre (BRC), Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, Queen's Medical Centre, Nottingham, UK.
Background: Colorectal cancer (CRC) is the third most common cancer in the United Kingdom and the second largest cause of cancer death.
Aim: To develop and validate a model using available information at the time of faecal immunochemical testing (FIT) in primary care to improve selection of symptomatic patients for CRC investigations.
Methods: We included all adults (≥ 18 years) referred to Nottingham University Hospitals NHS Trust between 2018 and 2022 with symptoms of suspected CRC who had a FIT.
PLoS One
January 2025
Center for Health Services Research, Regenstrief Institute Inc, Indianapolis, IN, United States of America.
Objectives: In two large university affiliated healthcare systems, we examined trends in colorectal cancer (CRC) screening both prior to and during the COVID-19 pandemic to compare the trends in non-invasive screening tests and colonoscopy.
Materials And Methods: In this retrospective time-trend analysis, we obtained the numbers of colonoscopies and non-invasive tests performed monthly during the pandemic and the year prior to it. We obtained colonoscopy data from five endoscopy units with the indication determined by dual independent review.
Am J Gastroenterol
January 2025
Kaiser Permanente Northern California Division of Research, Oakland, CA 94612.
Objectives: The COVID-19 pandemic reduced colorectal cancer (CRC) screening, but the rebound in testing and outcomes following the pandemic has not been widely reported. We evaluated CRC test utilization and colorectal neoplasia detection among screening eligible patients in a large health system in 2020 and 2021, compared to 2019 (pre-pandemic).
Methods: Using a retrospective cohort study design, fecal immunochemical test (FIT) and colonoscopy utilization, FIT positivity, and neoplasia detection were evaluated annually in 2019-2021 among Kaiser Permanente Northern California patients aged 50-75 years overall and by sex, age, race and ethnicity, and spoken language preference.
JMIR Mhealth Uhealth
January 2025
see Acknowledgments, .
Anticancer Res
January 2025
Department of Surgery, Kuopio University Hospital and School of Medicine, University of Eastern Finland, Kuopio, Finland.
Background/aim: This study evaluated the diagnostic accuracy (DA) for colorectal adenomas (CRA), screened by fecal immunochemical test (FIT), using five artificial intelligence (AI) models: logistic regression (LR), support vector machine (SVM), neural network (NN), random forest (RF), and gradient boosting machine (GBM). These models were tested together with clinical features categorized as low-risk (lowR) and high-risk (highR).
Patients And Methods: The colorectal neoplasia (CRN) screening cohort of 5,090 patients included 222 CRA patients and 264 non-CRA patients.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!