Background: Congenital fibrosis of extraocular muscles (CFEOM) is a rare group of disorders with variable phenotypes that result from aberrant innervation to the EOMs leading to synergistic vertical and/or horizontal deviations. We report our experience with the surgical management of patients with CFEOM.
Materials And Methods: We reviewed the clinical findings, the surgical management, and outcomes of 52 consecutive CFEOM patients operated by one surgeon at a university hospital setting between 1993 and 2014. Patients were divided into CFEOM1, 2, or 3 based on clinical and/or molecular genetic findings.
Results: Thirty-seven (71.2%) cases were bilateral and 15 (28.8%) were unilateral. Six of the bilateral cases had CFEOM2, and the rest of the patients had either CFEOM1 or CFEOM3. The median age at the first surgery was 10 (1-43) years. Twenty-five were females and 27 were males. Nineteen patients had previous strabismus and/or ptosis surgeries elsewhere. The mean number of operations at our center was 1.6 ± 0.7 (1-4). A temporary stay suture was used in eight patients and permanently in seven. Of the 40 patients with abnormal head position, 18 achieved excellent, 15 good, and seven poor outcomes and ocular alignment in primary position following the latest surgery was excellent in 19, good in 18, and poor in 14 of the patients, as defined in the "Methods" section of the paper.
Conclusions: Although patients with CFEOM present significant strabismus surgical challenges because of EOM dysinnervation, fibrosis, and/or heterotopia, satisfactory alignment and improvement of the head posture can be attained in a significant proportion of patients using an individually tailored surgical approach.
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http://dx.doi.org/10.3109/13816810.2014.973044 | DOI Listing |
JMIR Form Res
January 2025
Larner College of Medicine, University of Vermont, Burlington, VT, United States.
Background: Social media has become a widely used way for people to share opinions about health care and medical topics. Social media data can be leveraged to understand patient concerns and provide insight into why patients may turn to the internet instead of the health care system for health advice.
Objective: This study aimed to develop a method to investigate Reddit posts discussing health-related conditions.
JMIR Form Res
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Northwestern Medicine, Chicago, IL, United States.
Background: Patient recruitment and data management are laborious, resource-intensive aspects of clinical research that often dictate whether the successful completion of studies is possible. Technological advances present opportunities for streamlining these processes, thus improving completion rates for clinical research studies.
Objective: This paper aims to demonstrate how technological adjuncts can enhance clinical research processes via automation and digital integration.
JMIR Serious Games
January 2025
School of Computing, Engineering and Mathematical Sciences, Optus Chair Digital Health, La Trobe University, Melbourne, Australia.
Background: This review explores virtual reality (VR) and exercise simulator-based interventions for individuals with attention-deficit/hyperactivity disorder (ADHD). Past research indicates that both VR and simulator-based interventions enhance cognitive functions, such as executive function and memory, though their impacts on attention vary.
Objective: This study aimed to contribute to the ongoing scientific discourse on integrating technology-driven interventions into the management and evaluation of ADHD.
JMIR AI
January 2025
Department of Information Systems and Business Analytics, Iowa State University, Ames, IA, United States.
Background: In the contemporary realm of health care, laboratory tests stand as cornerstone components, driving the advancement of precision medicine. These tests offer intricate insights into a variety of medical conditions, thereby facilitating diagnosis, prognosis, and treatments. However, the accessibility of certain tests is hindered by factors such as high costs, a shortage of specialized personnel, or geographic disparities, posing obstacles to achieving equitable health care.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
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