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We introduce a novel, proof-of-concept polyp measurement device for the design of future colonoscopes. In a simulation study, 50 expert endoscopists used three measurement strategies (method 1: no visual cues; method 2: a snare tip visual cue; method 3: a grid visual cue) to evaluate 120 images of 40 simulated polyps (1–10 mm) presented in random order. Measurement accuracies of each method were 20%, 33% and 90%, respectively (p<0.001). Using the proof-of-concept measurement grid (method 3), endoscopists were 99.8% accurate for high confidence classifications of polyps into clinically relevant size categories. Improvements in colonoscope design are needed to minimise human and technology biases.
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There are increasing concerns about the influence of human bias on the measurement of polyp size at colonoscopy.1–3 A study of 92 124 individual colorectal polyp measurements from the UK bowel cancer screening programme showed that endoscopists, radiologists and pathologists all exhibited terminal digit preference and clustering of polyp measurements at 5mm intervals.1 Although human bias is an acknowledged contributor to the measurement error of polyps, the importance of technology bias remains understated.1–3 Figure 1 illustrates the extent of image distortion from the fish eye lens of modern colonoscopes, where objects in the centre of the display appear magnified and objects at the periphery appear small and warped. It also demonstrates how makeshift measurement tools, such as snare catheters, potentially worsen measurement error from technology bias coupled with illusions of relative size. We hypothesised that both human and technology biases could be addressed by improvements in current colonoscope technology.
Three measurement conditions for a 5 mm simulated polyp taken with an Olympus CF-HQ190L colonoscope at a viewing distance of 10 mm. (A) Method 1—no visual cues, in which the polyp was photographed against a plain, orange background without any …
Footnotes
Twitter Follow David Hewett at @dghewett
Contributors SS designed the study, led the data acquisition and interpretation, and wrote the manuscript; FM assisted with data collection and study support, KK performed the statistical analysis; ARS provided study support; DGH contributed to study design, data interpretation and manuscript preparation; all authors critically reviewed the manuscript for important intellectual content.
Competing interests DGH receives consulting fees from Olympus Corporation, Tokyo, Japan.
Ethics approval The Human Research Ethics Committee of the University of Queensland.
Provenance and peer review Not commissioned; internally peer reviewed.