Backgrounds And Aims: A typical capsule endoscopy (CE) case generates tens of thousands of images, with abnormalities often confined to a just few frames. Omni Mode is a novel EndoCapsule software algorithm (Olympus, Tokyo, Japan) that proposes to intelligently remove duplicate images while maintaining accuracy in lesion detection.
Methods: This prospective multicenter study took place across 9 European centers. Consecutive, unselected CE cases were read conventionally in normal mode, with every captured frame reviewed. Cases were subsequently anonymized and randomly allocated to another center where they were read using Omni Mode. Detected lesions and reading times were recorded, with findings compared between both viewing modes. The clinical significance of lesions was described according to the P classification (P0, P1, and P2). Where a discrepancy in lesion detection in either mode was found, expert blinded review at a consensus meeting was undertaken.
Results: The patient population undergoing CE had a mean age of 49.5 years (range, 18-91), with the investigation of anemia or GI bleeding accounting for 71.8% of cases. The average small-bowel transit time was 4 hours, 26 minutes. The mean reading time in normal mode was 42.5 minutes. The use of Omni Mode was significantly faster (P < .0001), with an average time saving of 24.6 minutes (95% confidence interval, 22.8-26.9). The 2127 lesions were identified and classified according to the P classification as P0 (1234), P1 (656), and P2 (237). Lesions were identified using both reading modes in 40% (n = 936), and 1186 lesions were identified by either normal or Omni Mode alone. Normal mode interpretation was associated with 647 lesions being missed, giving an accuracy of .70. Omni Mode interpretation led to 539 lesions being missed, with an accuracy of .75. There was no significant difference in clinical conclusions made between either reading mode.
Conclusions: This study shows that CE reading times can be reduced by an average of 40%, without any reduction in clinical accuracy.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.gie.2020.01.026 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Relationship Between Working Memory, Compression, and Beamformers in Ideal Conditions.
Ear Hear
November 2024
Department of Communication Sciences & Disorders, Northwestern University, Evanston, Illinois, USA.
Objectives: Previous research has shown that speech recognition with different wide dynamic range compression (WDRC) time-constants (fast-acting or Fast and slow-acting or Slow) is associated with individual working memory ability, especially in adverse listening conditions. Until recently, much of this research has been limited to omnidirectional hearing aid settings and colocated speech and noise, whereas most hearing aids are fit with directional processing that may improve the listening environment in spatially separated conditions and interact with WDRC processing. The primary objective of this study was to determine whether there is an association between individual working memory ability and speech recognition in noise with different WDRC time-constants, with and without microphone directionality (binaural beamformer or Beam versus omnidirectional or Omni) in a spatial condition ideal for the beamformer (speech at 0 , noise at 180 ).
View Article and Find Full Text PDFCooperative vs. Teleoperation Control of the Steady Hand Eye Robot with Adaptive Sclera Force Control: A Comparative Study.
IEEE Int Conf Robot Autom
May 2024
Department of Mechanical Engineering and also Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD, 21218, USA.
Article Synopsis
- A surgeon's hand tremor can negatively affect the precision required in delicate retinal surgeries like retinal vein cannulation and epiretinal membrane peeling.
- Robot-assisted technology, specifically the Steady-Hand Eye Robot (SHER), helps ophthalmologists by canceling tremors and providing enhanced control features, although there are limitations in minimizing contact force with the sclera.
- This study introduces a novel teleoperation control mode using a haptic device to dynamically manage tool-sclera contact force, and for the first time, compares its performance against the existing cooperative control mode during simulated eye surgery experiments.
Hierarchical double-layer microneedles accomplish multicenter skin regeneration in diabetic full-thickness wounds.
J Adv Res
December 2024
Department of Plastic and Cosmetic Surgery, Nanfang Hospital, Southern Medical University, 1838 Guangzhou North Road, Guangzhou 510515, Guangdong, China. Electronic address:
Introduction: Managing large chronic wounds presents significant challenges because of inadequate donor sites, infection, and lack of structural support from dermal substitutes. Hydrogels are extensively used in various forms to promote chronic wound healing and provide a three-dimensional spatial structure, through growth factors or cell transport.
Objectives: We present a novel multicenter regenerative model that is capable of regenerating and merging simultaneously to form a complete layer of skin.
An automated method for tendon image segmentation on ultrasound using grey-level co-occurrence matrix features and hidden Gaussian Markov random fields.
Comput Biol Med
February 2024
Imaging at Olympic Park, Melbourne, Australia; Department of Physiotherapy, Monash University, Melbourne, Australia.
Background: Despite knowledge of qualitative changes that occur on ultrasound in tendinopathy, there is currently no objective and reliable means to quantify the severity or prognosis of tendinopathy on ultrasound.
Objective: The primary objective of this study is to produce a quantitative and automated means of inferring potential structural changes in tendinopathy by developing and implementing an algorithm which performs a texture based segmentation of tendon ultrasound (US) images.
Method: A model-based segmentation approach is used which combines Gaussian mixture models, Markov random field theory and grey-level co-occurrence (GLCM) features.
Adaptability to eccentric exercise training is diminished with age in female mice.
J Appl Physiol (1985)
November 2023
Divisions of Rehabilitation Science and Physical Therapy, Department of Rehabilitation Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota, United States.
The ability of skeletal muscle to adapt to eccentric contractions has been suggested to be blunted in older muscle. If eccentric exercise is to be a safe and efficient training mode for older adults, preclinical studies need to establish if older muscle can effectively adapt and if not, determine the molecular signatures that are causing this impairment. The purpose of this study was to quantify the extent age impacts functional adaptations of muscle and identify genetic signatures associated with adaptation (or lack thereof).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!