Objective: To evaluate the prevalence of reduced visual acuity (VA), refractive errors (RE), reduced contrast sensitivity and strabismus in developmentally delayed (DD) patients.
Methods: This descriptive cross sectional study was carried out in Ophthalmology Departments of Mayo Hospital, Lahore, The Children's Hospital, Lahore and The Children's Hospital, Multan from June 2019 to December 2019. We recruited 257 patients of either gender, between the ages of 06-16 years having intelligence quotient (IQ) ≤ 80 by Wechsler Intelligence Scale for Children (WISC) from the out-patient departments. Detailed systemic and ophthalmic history was taken and through anterior and posterior segment examination was carried out. VA was assessed with age matched VA charts. Cycloplegic refraction with 1% cyclopentolate was carried out. Contrast sensitivity was measured with hiding Heidi charts. Strabismus was assessed with Hirschberg and covers /uncover tests.
Results: The mean age of the patients was 8.88 years with standard deviation (SD) of ± 2.70. The prevalence of reduced VA, RE, strabismus and reduced contrast sensitivity in these children were 43.58%, 52.92%, 52.14% and 32.7% respectively. Out of these 52.92% RE, 56 (21.79%) were myopic, 66 (25.68%) were hyperopic and 14 (05.45%) were astigmatic. The percentage of esotropia was 72 (28.02%) and exotropia was 62 (24.12%).
Conclusion: The results of our study in DD children have shown that a significant number of children have reduced VA, RE, strabismus and reduced contrast sensitivity. Apart from general management of DD children by a pediatrician, the ophthalmic management of these problems must be carried out by a pediatric ophthalmologist to improve their quality of life.
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http://dx.doi.org/10.12669/pjms.39.6.7328 | DOI Listing |
JCO Clin Cancer Inform
January 2025
SimBioSys Inc, Chicago, IL.
Purpose: Perfusion modeling presents significant opportunities for imaging biomarker development in breast cancer but has historically been held back by the need for data beyond the clinical standard of care (SoC) and uncertainty in the interpretability of results. We aimed to design a perfusion model applicable to breast cancer SoC dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) series with results stable to low temporal resolution imaging, comparable with published results using full-resolution DCE-MRI, and correlative with orthogonal imaging modalities indicative of biophysical markers.
Methods: Subsampled high-temporal-resolution DCE-MRI series were run through our perfusion model and resulting fits were compared for consistency.
Curr Med Imaging
January 2025
Department of Radiology and Medical Imaging, King Saud University Medical City, King Saud University, Riyadh, KSA.
Background: Multiple sclerosis (MS) is one of the most common disabling central nervous system diseases affecting young adults. Magnetic resonance imaging (MRI) is an essential tool for diagnosing and following up multiple sclerosis. Over the years, many MRI techniques have been developed to improve the sensitivity of MS disease detection.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
School of Life Sciences, Tiangong University, Tianjin 300387, China.
Objective: The objective of this research is to enhance pneumonia detection in chest X-rays by leveraging a novel hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with modified Swin Transformer blocks. This study aims to significantly improve diagnostic accuracy, reduce misclassifications, and provide a robust, deployable solution for underdeveloped regions where access to conventional diagnostics and treatment is limited.
Methods: The study developed a hybrid model architecture integrating CNNs with modified Swin Transformer blocks to work seamlessly within the same model.
Ann Gen Psychiatry
January 2025
Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Schizophrenia is one of the most debilitating mental illnesses affecting any age group. The mechanism and etiology of schizophrenia are extremely complex and multiple signaling pathways recruit genes implicated in the etiology of this disease. While the role of Wnt/β-catenin signaling in this disorder has been verified, the impact of long noncoding RNAs (lncRNAs) associated with this pathway has not been studied in schizophrenia.
View Article and Find Full Text PDFBMC Gastroenterol
January 2025
Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine , Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Objective: Summaries of the relationships between the microbiota and liver cirrhosis and their conclusions are not consistent. This study describes microbial differences in patients with liver cirrhosis by performing a meta-analysis.
Methods: We searched PubMed, Embase, Web of Science, and the Cochrane Library and collected related articles published before March 10, 2024.
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