title: Software for enhanced video capsule endoscopy: challenges for essential progress.
abstract: Video capsule endoscopy (VCE) has revolutionized the diagnostic work-up in the field of small bowel diseases. Furthermore, VCE has the potential to become the leading screening technique for the entire gastrointestinal tract. Computational methods that can be implemented in software can enhance the diagnostic yield of VCE both in terms of efficiency and diagnostic accuracy. Since the appearance of the first capsule endoscope in clinical practice in 2001, information technology (IT) research groups have proposed a variety of such methods, including algorithms for detecting haemorrhage and lesions, reducing the reviewing time, localizing the capsule or lesion, assessing intestinal motility, enhancing the video quality and managing the data. Even though research is prolific (as measured by publication activity), the progress made during the past 5 years can only be considered as marginal with respect to clinically significant outcomes. One thing is clear-parallel pathways of medical and IT scientists exist, each publishing in their own area, but where do these research pathways meet? Could the proposed IT plans have any clinical effect and do clinicians really understand the limitations of VCE software? In this Review, we present an in-depth critical analysis that aims to inspire and align the agendas of the two scientific groups.
authors: Department of Computer Engineering, Technological Educational Institute of Central Greece, 3rd Km Old National Road Lamia-Athens, Lamia PC 35 100, Greece.
authors: Dimitris K
authors: DK
authors: Iakovidis
authors: The Royal Infirmary of Edinburgh, Endoscopy Unit, 51 Little France Crescent, Old Dalkeith Road, Edinburgh EH16 4SA, UK.
authors: Anastasios
authors: A
authors: Koulaouzidis
mesh_terms: D053705:Capsule Endoscopes; D053704:Capsule Endoscopy / Q000379:methods* / Q000639:trends; D003299:Cooperative Behavior; D004867:Equipment Design; D005767:Gastrointestinal Diseases / Q000175:diagnosis*; D006471:Gastrointestinal Hemorrhage / Q000175:diagnosis; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007400:Interprofessional Relations; D012984:Software