Evaluation of the sensitivity of the <i>Express View</i> function in the Mirocam<sup>®</sup> capsule endoscopy software

Gomes, Catarina; Pinho, Rolando; Ponte, Ana; Rodrigues, Adélia; Sousa, Mafalda; Silva, J C; Afecto, Edgar; Carvalho, João

doi:10.1080/00365521.2020.1734650

“…While some studies have demonstrated low miss rates, we believe that increasing reading frame speed may lead to diagnostic error. Capsule manufacturers have introduced different software image analysis systems to automatically select or highlight relevant images and eliminate sequential images which are similar and redundant [13][14][15]. These systems can reduce reading time by up to 50 % with a very low diagnostic miss rate; in our opinion, although they cannot substitute for a thorough video reading, they might represent a valid form of support.…”

Section: How To Shorten Video Reading Timesmentioning

confidence: 99%

“…This can be done using specifically designed, automated fast-reading modes (e. g. QuickView, TOP 100, Omni-Mode, Duoview etc.) [13][14][15] or manual scrolling through the video at a high frame rate (near the maximum available frame rate), the latter of which is our personal preference. This first phase is to quickly identify possible areas of interest for further detailed review, to identify key anatomical landmarks (namely the pylorus and ileocecal valve) and more importantly to gain vital clinical information quickly in relevant circumstances, e. g. investigation of gastrointestinal bleeding.…”

Section: Basics Of Review and Important Steps In Sb Capsule Endoscopy Rmentioning

confidence: 99%

Untitled

2020

Endosc Int Open

0

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Small bowel (SB) capsule endoscopy (SBCE) is often perceived by both patients and physicians as a "lightweight," noninvasive, comfortable procedure that is easily performed with little more than swallowing a pill and a glass of water. However, "easy to carry out" does not translate to ease of reading or interpretation. A SB capsule acquires thousands of images and generates a long video; however, clinically relevant findings are often seen in only a few frames. There is no way to direct or focus the camera, the capsule's lens cannot be cleaned or luminal debris removed, and perhaps most importantly, the capsule cannot take tissue samples. Therefore, the rate of missed lesions in the SB has been quoted as high as 10 % [1]. Despite various SB imaging modalities offering similar diagnostic yield (DY) and miss rates, SBCE is one of the few endoscopic procedures open to immense scrutiny, as the data recorded are readily accessible for further on-demand review. This may expose clinicians to additional litigation but conversely, also provides a unique learning platform for new generations of SBCE readers. This is certainly fertile ground for virtual artificial neural network (ANN) training systems and even artificial intelligence (AI) diagnosis [2]. Currently, several different SBCE platforms exist. They differ in technical features and specifications such as size and weight, number and position of cameras, frame rate acquisition, and battery duration, as well as in several functions of proprietary reading software. In this editorial, we aim to provide general principles for SBCE reading, which are only partially addressed in recent technical reviews or guidelines [3-9]. We would also like to suggest tips and tricks to reduce common deficiencies in SBCE.

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“…Due to the low consistency of the reading between physicians, WCE has been an ideal target of the AI system to assist physicians in identifying distinct lesions and areas of interest more easily [ 15 ]. Various commercial ML systems [ 16 , 17 ] have been commercialized, including Quick-View [ 18 ] (Medtronic, Minneapolis, USA), the suspected blood indicator [ 19 ] (Medtronic), and ExpressView [ 20 ] (Intromedic, Seoul, South Korea). However, they have little impact on reading and have not yet reached the stage of providing reliable classifications due to insufficient accuracy [ 21 ].…”

Section: State Of the Art Ai Studies In Wcementioning

confidence: 99%

Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges

Kim

¹

,

Lim

²

2021

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Artificial intelligence (AI) has revolutionized the medical diagnostic process of various diseases. Since the manual reading of capsule endoscopy videos is a time-intensive, error-prone process, computerized algorithms have been introduced to automate this process. Over the past decade, the evolution of convolutional neural network (CNN) enabled AI to detect multiple lesions simultaneously with increasing accuracy and sensitivity. Difficulty in validating CNN performance and unique characteristics of capsule endoscopy images make computer-aided reading systems in capsule endoscopy still on a preclinical level. Although AI technology can be used as an auxiliary second observer in capsule endoscopy, it is expected that in the near future, it will effectively reduce the reading time and ultimately become an independent, integrated reading system.

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“…This can be done using specifically designed, automated fast-reading modes (e. g. QuickView, TOP 100, OmniMode, Duoview etc.) 13 14 15 or manual scrolling through the video at a high frame rate (near the maximum available frame rate), the latter of which is our personal preference. This first phase is to quickly identify possible areas of interest for further detailed review, to identify key anatomical landmarks (namely the pylorus and ileocecal valve) and more importantly to gain vital clinical information quickly in relevant circumstances, e. g. investigation of gastrointestinal bleeding.…”

Section: Basics Of Review and Important Steps In Sb Capsule Endoscopy Rmentioning

confidence: 99%

How to read small bowel capsule endoscopy: a practical guide for everyday use

Rondonotti

¹

,

Pennazio²,

Tóth

³

et al. 2020

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Small bowel (SB) capsule endoscopy (SBCE) is often perceived by both patients and physicians as a "lightweight," noninvasive, comfortable procedure that is easily performed with little more than swallowing a pill and a glass of water. However, "easy to carry out" does not translate to ease of reading or interpretation. A SB capsule acquires thousands of images and generates a long video; however, clinically relevant findings are often seen in only a few frames. There is no way to direct or focus the camera, the capsule's lens cannot be cleaned or luminal debris removed, and perhaps most importantly, the capsule cannot take tissue samples. Therefore, the rate of missed lesions in the SB has been quoted as high as 10 % [1]. Despite various SB imaging modalities offering similar diagnostic yield (DY) and miss rates, SBCE is one of the few endoscopic procedures open to immense scrutiny, as the data recorded are readily accessible for further on-demand review. This may expose clinicians to additional litigation but conversely, also provides a unique learning platform for new generations of SBCE readers. This is certainly fertile ground for virtual artificial neural network (ANN) training systems and even artificial intelligence (AI) diagnosis [2]. Currently, several different SBCE platforms exist. They differ in technical features and specifications such as size and weight, number and position of cameras, frame rate acquisition, and battery duration, as well as in several functions of proprietary reading software. In this editorial, we aim to provide general principles for SBCE reading, which are only partially addressed in recent technical reviews or guidelines [3-9]. We would also like to suggest tips and tricks to reduce common deficiencies in SBCE.

show abstract

Evaluation of the sensitivity of the Express View function in the Mirocam^® capsule endoscopy software

Cited by 9 publications

References 28 publications

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Untitled

Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges

How to read small bowel capsule endoscopy: a practical guide for everyday use

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Evaluation of the sensitivity of the Express View function in the Mirocam® capsule endoscopy software

Cited by 9 publications

References 28 publications

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Untitled

Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges

How to read small bowel capsule endoscopy: a practical guide for everyday use

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Evaluation of the sensitivity of the Express View function in the Mirocam^® capsule endoscopy software