AI Article Synopsis
- The study aimed to compare automatic software-based angular measurements (AM) with manual hand measurements (MBH) for weight-bearing CT scans.
- In a sample of 500 scans, five specific angles were measured, revealing significant differences between AM and MBH, except for the calcaneal pitch angle.
- AM drastically reduced measurement time from an average of 44.5 seconds per angle with MBH to just 1 second per angle, indicating AM's efficiency, but further validation is needed before it can be deemed reliable.
Article Abstract
Background: Purpose of this study was to compare automatic software-based angular measurement (AM, Autometrics, Curvebeam, Warrington, PA, USA) with previously validated measurement by hand (MBH) regarding angle values and time spent for the investigator for Weight-Bearing CT (WBCT).
Methods: Five-hundred bilateral WBCT scans (PedCAT, Curvebeam, Warrington, PA, USA) were included in the study. Five angles (1st - 2nd intermetatarsal angle, talo-metatarsal 1-angle (TMT) dorsoplantar and lateral projection, hindfoot angle, calcaneal pitch angle) were measured with MBH and AM on the foot/ankle (side with pathology). Angles and time spent of MBH and AM were compared (t-test, homoscedatic).
Results: The specific pathologies were ankle osteoarthritis/instability, n = 147 (29%); Haglund deformity/Achillodynia, n = 41 (8%); forefoot deformity, n = 108 (22%); Hallux rigidus, n = 37 (7%); flatfoot, n = 35 (7%); cavus foot, n = 10 (2%); osteoarthritis except ankle, n = 82 (16%). The angles differed between MBH and AM (each p < 0.001) except the calcaneal pitch angle (p = 0.05). The time spent for MBH / AM was 44.5 ± 12 s / 1 ± 0 s on average per angle (p < 0.0011).
Conclusions: AM provided different angles as MBH and can currently not be considered as validated angle measurement method. The investigator time spent is 97% lower for AM (1 s per angle) than for MBH (44.5 s per angle). Cases with correct angles in combination with almost no time spent showed the real potential of AM. The AM system will have to become reliable (especially in diminishing positive and negative angle values as defined) and valid which has to be proven by planned studies in the future.
Level Of Evidence: Level III.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.fas.2021.11.010 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
AGMA-PESS: a deep learning-based infant pose estimator and sequence selector software for general movement assessment.
Front Pediatr
December 2024
INSERM, U1059 SAINBIOSE, Université Jean Monnet, Saint-Étienne, France.
The General Movement Assessment (GMA) is a validated evaluation of brain maturation essential to shaping early individual developmental trajectories of preterm infants. To ensure a reliable GMA, preterm infants should be recorded for 30 to 60 min before manually selecting at least three sequences with general movements. This time-consuming task of manually selecting short video sequences from lengthy recordings impedes its implementation within the Neonatal Unit.
View Article and Find Full Text PDFPoint-cloud clustering and tracking algorithm for radar interferometry.
Phys Rev E
October 2024
Department of Chemistry and Physics, Mount Royal University, Calgary, Alberta, Canada.
In data mining, density-based clustering, which entails classifying datapoints according to their distributions in some space, is an essential method to extract information from large datasets. With the advent of software-based radio, ionospheric radars are capable of producing unprecedentedly large datasets of plasma turbulence backscatter observations, and new automatic techniques are needed to sift through them. We present an algorithm to automatically identify and track clusters of radar echoes through time, using dbscan, a celebrated density-based clustering method for noisy point clouds.
View Article and Find Full Text PDFDevelopment and cultural adaptation of the Saudi pediatric speech intelligibility test.
Saudi Med J
November 2024
From the Department of ENT (Yousef, Alkhamiss, Alsanosi, Alsanosi), King Abdullah Ear Specialist Center, King Saud Medical City, King Saud University; from the Department of Otolaryngology - Head and Neck Surgery (Mesallam), King Saud University; from the Department of ENT (Alotaibi, Almasaad), Communication and Swallowing Disorders Unit, King Abdulaziz University Hospital, King Saud University, from the Department of Research (Abdelsamad), MED-EL GmbH, Riyadh, Kingdom of Saudi Arabia, and from the Department of ENT (Yousef), Audio Vestibular Unit, Menoufia University, Menoufia, Egypt.
Objectives: To report the development and administration of the Saudi pediatric speech intelligibility (SPSI) test.
Methods: This study was carried out at King Abdullah Ear Specialist Center, King Saud University, Riyadh, Saudi Arabia, between 2021 and 2023. A pilot study was carried out in 5 regions of Saudi Arabia including 100 normal hearing children aged 7-11 years old, with 20 children from each region.
Development and Validation of an Automatic Computerized Neurocognitive Battery in Chinese.
Am J Alzheimers Dis Other Demen
October 2024
Department of Neurology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Objectives: Neuropsychological test batteries, which accurately and comprehensively assess cognitive functions, are a crucial approach in the early detection of and interventions for cognitive impairments. However, these tests have yet to gain wide clinical application in China owing to their complexity and time-consuming nature. This study aimed to develop the Computerized Neurocognitive Battery for Chinese-Speaking participants (CNBC), an autorun and autoscoring cognitive assessment tool to provide efficient and accurate cognitive evaluations for Chinese-Speaking individuals.
View Article and Find Full Text PDFAI-based fully automatic analysis of retinal vascular morphology in pediatric high myopia.
BMC Ophthalmol
September 2024
Klinik und Poliklinik für Augenheilkunde, Ophthalmology Department of Klinikum rechts der Isar, Technische Universität München, 81675, Munich, Germany.
Purpose: To investigate the changes in retinal vascular structures associated with various stages of myopia by designing automated software based on an artificial intelligence model.
Methods: The study involved 1324 pediatric participants from the National Children's Medical Center in China, and 2366 high-quality retinal images and corresponding refractive parameters were obtained and analyzed. Spherical equivalent refraction (SER) degree was calculated.
Want 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!