The accurate measurement of lesion size during endoscopic procedures is of paramount importance. It not only informs the assessment of disease risk, but also guides the selection of appropriate surgical interventions and provides a foundation for effective treatment monitoring 1 . Current endoscopic measurement techniques, such as visual inspection, the tension clamp method, and the implantable instrument ruler, still exhibit certain limitations 2 . To address this challenge, researchers have explored the development of an endoscopic virtual ruler based on fiber laser principles and artificial intelligence (AI) technology, which aims to enable simple and precise real-time measurement of various types of lesions.
In this innovative model, a laser-based approach is employed to precisely measure the size and distance of targets 3 . Leveraging a medical endoscope, fiber-coupled laser, laser collimator, and an advanced AI algorithm, the system generates laser spots that appear at varying size at different distances ( Fig. 1 ). By analyzing the spot area in the captured image and correlating it with the known scale bar, the system is able to accurately estimate the distance to the object and calculate its actual size. This end-to-end solution streamlines the measurement process during medical procedures, enabling healthcare professionals to make informed decisions based on reliable data-driven insights. The integration of cutting-edge laser technology and intelligent software algorithms underscores the continuous advancements in medical imaging and diagnostics.
Video 1 shows the novel model being used to accurately size a large raised polyp, a laterally spreading polyp, and an early gastric cancer ( Fig. 2 ).
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Citation Format.
Endoscopy 2024; 56: E795–E796. doi: 10.1055/a-2409-0070
Footnotes
Conflict of Interest The authors declare that they have no conflict of interest.
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E-Videos is an open access online section of the journal Endoscopy , reporting on interesting cases and new techniques in gastroenterological endoscopy. All papers include a high-quality video and are published with a Creative Commons CC-BY license. Endoscopy E-Videos qualify for HINARI discounts and waivers and eligibility is automatically checked during the submission process. We grant 100% waivers to articles whose corresponding authors are based in Group A countries and 50% waivers to those who are based in Group B countries as classified by Research4Life (see: https://www.research4life.org/access/eligibility/ ). This section has its own submission website at https://mc.manuscriptcentral.com/e-videos .
References
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