Purpose: To identify factors affecting the predictability and report results of donor lamellar graft diameter and thickness in an artificial anterior chamber obtained with a microkeratome.
Methods: Lamellar lenticules were obtained from 25 human corneoscleral rims mounted in an artificial anterior chamber. Lenticules measuring 9 mm were attempted at two thicknesses (250 microm and 350 microm heads). Intrachamber pressure of 65 mm Hg was confirmed with Barraquer tonometry. Keratometry, pachymetry, limbal white-to-white, and qualitative mires with the diameter applanation lens were evaluated as possible factors predictive of lenticule diameter and thickness. Diameters and thicknesses were measured with calipers and pachymetry, respectively. RESULTS Ninety-two percent (23/25 lenticules; 14/15 in 250 microm, 9/10 in 350 microm) were +/- 0.25 mm of the intended diameter and 76% (19/25 lenticules; 12/15 in 250 microm, 7/10 in 350 microm) were within +/- 100 microm of the intended thickness. Ovoid applanation mires with the diameter applanation lens represented tissue herniation within the artificial anterior chamber and led to ovoid lenticules (2/25).
Conclusions: Lenticules of 9 mm +/-0.25mm in diameter were highly reproducible with proper corneoscleral rim seating. Intrachamber pressure confirmed with Barraquer tonometry is important in obtaining lenticules of consistent diameter and adequate thickness. Ovoid applanation mires may herald improper corneoscleral rim seating and result in a similarly shaped lenticule. A 2 mm or greater corneoscleral rim is recommended to prevent tissue herniation within the artificial anterior chamber used in this study.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/00003226-200210000-00012 | DOI Listing |
Zhongguo Gu Shang
January 2025
Department of Orthopaedics, Sir Run Run Shaw Hospital, Hangzhou 310016, Zhejiang, China.
Objective: To observe the clinical outcomes of anterior approach for the revision surgery following unsuccessful bone cement augmentation in osteoporotic vertebral compression fractures.
Methods: A total of 10 patients who experienced unsuccessful bone cement augmentation underwent anterior revision surgery between January 2020 and December 2021. There were 2 males and 8 females.
Gait Posture
January 2025
Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA; Department of Surgery and Research Service, Nebraska-Western Iowa Veterans Affairs Medical Center, Omaha, NE 68105, USA. Electronic address:
Background: This study leverages Artificial Neural Networks (ANNs) to predict lower limb joint moments and electromyography (EMG) signals from Ground Reaction Forces (GRF), providing a novel perspective on human gait analysis. This approach aims to enhance the accessibility and affordability of biomechanical assessments using GRF data, thus eliminating the need for costly motion capture systems.
Research Question: Can ANNs use GRF data to accurately predict joint moments in the lower limbs and EMG signals?
Methods: We employed ANNs to analyze GRF data and to use them to predict joint moments (363-trials; 4-datasets) and EMG signals (63-trials; 2-datasets).
J Imaging Inform Med
January 2025
Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Sivas Cumhuriyet University, Sivas, Turkey.
This study aimed to develop a custom artificial intelligence (AI) model for detecting lamina dura (LD) loss around the roots of anterior and posterior teeth on intraoral periapical radiographs. A total of 701 periapical radiographs of the anterior and posterior regions retrieved from the Dentomaxillofacial Radiology archives were reviewed. Images were cropped to include only the teeth exhibiting LD loss and those without LD loss, which were labeled as "1" and "0," respectively.
View Article and Find Full Text PDFJ Prosthet Dent
January 2025
Principal, Dr. Ambedkar Institute of Technology, Bangalore, India.
Statement Of Problem: The evaluation of incisal translucency in anterior teeth greatly influences esthetic treatment outcomes. This evaluation is mostly subjective and often overlooked among dental professionals. The application of artificial intelligence-based models to detect the incisal translucency of anterior teeth may be of value to dentists in their restorative dental practice, but studies are lacking.
View Article and Find Full Text PDFBMJ Open Ophthalmol
January 2025
Department of Ophthalmology, Peking University People's Hospital, Beijing, China
Purpose: To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.
Design: Development and validation of an artificial intelligence algorithm for UBM images.
Methods: 2339 UBM images from 592 subjects were collected for algorithm development.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!