Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland.
BJS Open. 2021 Jul 6;5(4). doi: 10.1093/bjsopen/zrab056.
COVID-19 has brought an unprecedented challenge to healthcare services. The authors' COVID-adapted pathway for suspected bowel cancer combines two quantitative faecal immunochemical tests (qFITs) with a standard CT scan with oral preparation (CT mini-prep). The aim of this study was to estimate the degree of risk mitigation and residual risk of undiagnosed colorectal cancer.
Decision-tree models were developed using a combination of data from the COVID-adapted pathway (April-May 2020), a local audit of qFIT for symptomatic patients performed since 2018, relevant data (prevalence of colorectal cancer and sensitivity and specificity of diagnostic tools) obtained from literature and a local cancer data set, and expert opinion for any missing data. The considered diagnostic scenarios included: single qFIT; two qFITs; single qFIT and CT mini-prep; two qFITs and CT mini-prep (enriched pathway). These were compared to the standard diagnostic pathway (colonoscopy or CT virtual colonoscopy (CTVC)).
The COVID-adapted pathway included 422 patients, whereas the audit of qFIT included more than 5000 patients. The risk of missing a colorectal cancer, if present, was estimated as high as 20.2 per cent with use of a single qFIT as a triage test. Using both a second qFIT and a CT mini-prep as add-on tests reduced the risk of missed cancer to 6.49 per cent. The trade-off was an increased rate of colonoscopy or CTVC, from 287 for a single qFIT to 418 for the double qFIT and CT mini-prep combination, per 1000 patients.
Triage using qFIT alone could lead to a high rate of missed cancers. This may be reduced using CT mini-prep as an add-on test for triage to colonoscopy or CTVC.
COVID-19 给医疗服务带来了前所未有的挑战。作者的 COVID 适应型疑似结直肠癌途径结合了两种定量粪便免疫化学测试(qFIT)和标准的口服准备 CT 扫描(CT mini-prep)。本研究旨在评估未确诊结直肠癌的风险降低程度和残余风险。
使用 COVID 适应型途径(2020 年 4-5 月)的数据、自 2018 年以来针对有症状患者进行的 qFIT 本地审计、从文献和本地癌症数据集获得的相关数据(结直肠癌的患病率以及诊断工具的敏感性和特异性)和任何缺失数据的专家意见,开发决策树模型。考虑的诊断方案包括:单个 qFIT;两个 qFIT;单个 qFIT 和 CT mini-prep;两个 qFIT 和 CT mini-prep(富集途径)。这些与标准诊断途径(结肠镜检查或 CT 虚拟结肠镜检查(CTVC))进行了比较。
COVID 适应型途径包括 422 名患者,而 qFIT 的审计包括 5000 多名患者。如果存在结直肠癌,使用单个 qFIT 作为分诊测试,错过癌症的风险估计高达 20.2%。使用第二个 qFIT 和 CT mini-prep 作为附加测试可将错过癌症的风险降低至 6.49%。权衡的结果是结肠镜检查或 CTVC 的发生率增加,从单个 qFIT 的每 1000 名患者 287 例增加到双 qFIT 和 CT mini-prep 组合的每 1000 名患者 418 例。
单独使用 qFIT 进行分诊可能会导致很高的癌症漏诊率。通过将 CT mini-prep 用作结肠镜检查或 CTVC 的附加诊断测试,这种情况可能会减少。