NIHR | 13 September 2021 | New screening pathways could improve NHS England’s bowel cancer programme
NHS England’s Bowel Cancer Screening Programme aims to find warning signs in people aged 60 to 74. This population are invited to take a faecal immunochemical test (FIT) every two years. FIT measures blood in faeces and people with levels above a certain threshold are invited to have their bowel tissue examined for signs of cancer. Growths which could become cancerous (polyps) are removed and cancers prevented.
The research team set out to:
- Explore the relationship between FIT results and bowel pathology using truncated regression, in both a univariate and multiple regression model, with demographic factors including age, sex and area-based socioeconomic status; and
- Use these results to estimate proportions of bowel abnormalities the screening programme would fail to diagnose at different FIT thresholds (false negative rates);
- Generate hypotheses for fuller exploitation of quantitative FIT measures.
Researchers were surprised to find that the FIT threshold for further investigation is set at a point that may miss more than half of bowel cancer cases. This highlights a need to improve the NHS screening programme.
They suggest that the programme could make better use of FIT’s ability to provide the exact concentration of blood in faeces (rather than only whether it is above or below a cutoff level).
A new, multi-threshold strategy would mean referring people different follow-up according to their results. Screening intervals could be varied, and different ways of examining the bowel could be used (for example, sigmoidoscopy examines only the lower bowel). This could reduce the number of cancers missed while minimising the demand on services (Source: NIHR & Li et al, 2021).
Full details are available from NIHR
Primary paper Faecal immunochemical testing in bowel cancer screening: Estimating outcomes for different diagnostic policies
Li, S.J. et al | 2021| Faecal immunochemical testing in bowel cancer screening: Estimating outcomes for different diagnostic policies| Journal of Medical Screening | 28 | 3 P .277-285. doi:10.1177/0969141320980501
Abstract
Objectives
The National Health Service Bowel Cancer Screening Programme (NHS BCSP) in England has replaced guaiac faecal occult blood testing by faecal immunochemical testing (FIT). There is interest in fully exploiting FIT measures to improve bowel cancer (CRC) screening strategies. In this paper, we estimate the relationship of the quantitative haemoglobin concentration provided by FIT in faecal samples with underlying pathology. From this we estimate thresholds required for given levels of sensitivity to CRC and high-risk adenomas (HRA).
Methods
Data were collected from a pilot study of FIT in England in 2014, in which 27,238 participants completed a FIT. Those with a faecal haemoglobin concentration (f-Hb) of at least 20 µg/g were referred for further investigation, usually colonoscopy. Truncated regression models were used to explore the relationship between bowel pathology and FIT results. Regression results were applied to estimate sensitivity to different abnormalities for a number of thresholds.
Results
Participants with CRC and HRA had significantly higher f-Hb, and this remained unchanged after adjusting for age and sex. While a threshold of 20 μg/g was estimated to capture 82.2% of CRC and 64.0 per cent of HRA, this would refer 7.8% of participants for colonoscopy. The current programme threshold used in England of 120 μg/g was estimated to identify 47.8 per cent of CRC and 25.0 per cent of HRA.
Conclusions
Under the current diagnostic policy of dichotomising FIT results, a very low threshold would be required to achieve high sensitivity to CRC and HRA, which would place further strain on colonoscopy resources. The NHS BCSP in England might benefit from a diagnostic policy that makes greater use of the quantitative nature of FIT.
- Exploring the relationship between FIT results and bowel pathology using truncated regression, in both a univariate and multiple regression model, with demographic factors including age, sex and area-based socioeconomic status; and
- Using these results to estimate proportions of bowel abnormalities the screening programme would fail to diagnose at different FIT thresholds (false negative rates);
- Generating hypotheses for fuller exploitation of quantitative FIT measures.