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Computed Tomographic Colonography

Automated Tool for Polyp Measurement Delivering on Patient Risk Stratification
Authors: Didier, Bielen; Ragna, Vanslembrouck; Frederik, De Keyzer; Hilde, Vandenhout; Lutz, Guendel; Eric, Van Cutsem; Guy, Marchal;

Computed Tomographic Colonography

Abstract

We evaluated an automated polyp size measurement tool in computed tomographic colonography for its accuracy and value for patient risk stratification.A simulation program generated a raw data phantom with sessile and pedunculated polyps of known sizes using 120 to 140 kV and 50, 40, 20, 15, and 10 mAs. All polyps were measured by clicking on the polyp surface. Comparison of the calculated size with the known polyp sizes allowed calculation of reproducibility and accuracy. For patients with proven polyps, we also compared automated measurements with manual and endoscopic measurements to evaluate the effect on patient risk stratification.The automated measurement tool allowed accurate measurements. In the patient study, assignment to the correct size group was not significantly different from the radiologist's results. However, it slightly improved patient risk stratification by reducing both failed and unnecessary colonoscopy referral.An automated tool for polyp measurement in patients facilitates patient risk stratification.

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Keywords

Adult, Male, Observer Variation, Phantoms, Imaging, Software Validation, Colonic Polyps, Reproducibility of Results, Middle Aged, Risk Assessment, Severity of Illness Index, Outpatients, Image Processing, Computer-Assisted, Feasibility Studies, Humans, Female, Colonography, Computed Tomographic, Software, Aged

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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