Retinal vessel diameters and their correlation with retinal nerve fiber layer thickness in patients with pseudoexfoliation syndrome

AIM: To compare retinal artery-vein diameters (RAVDs) of patients with pseudoexfoliation (PSX) syndrome with healthy controls and investigate the correlations between retinal nerve fiber layer (RNFL) thickness parameters and RAVDs. METHODS: Seventeen eyes with PSX and 17 eyes of age-matched controls were included in the study. All participants underwent routine ophthalmological examination, Humphrey visual field and RNFL examination by using Stratus OCT. Retinal images were obtained by using a retinal camera (Topcon 501X). RAVDs were measured from inferior nasal, inferior temporal, superior nasal and superior temporal arcuates by using IMAGEnet software. Superior, inferior, nasal, temporal and average RNFL thicknesses were recorded. RAVDs and RNFL parameters in groups and correlations were analyzed by Mann-Whitney U and Spearmann correlation tests. RESULTS: Only inferior quadrant and average RNFL thickness were detected thinner in the PSX group compared with control group (P=0.009, P=0.038, respectively). No statistically significant difference regarding RAVDs was found between two groups. CONCLUSION: RAVDs seems to be comparable in the PSX and control group. RNFL is thinner in the inferior quadrant in the PSX group. RNFL thickness and RAVDs show significant correlations in both groups. This correlation doesn’t seem to be specific to PSX.     

Evaluation of the thyroid disorders in children with familial Mediterranean fever

Clinical Rheumatology - Although it is well-known that autoimmune thyroid diseases are more common in most of the autoimmune connective tissue diseases, the relationship between autoinflammatory...     

Clinical features and outcomes of 76 patients with COVID-19-related multi-system inflammatory syndrome in children

Clinical Rheumatology - Multi-system inflammatory syndrome in children (MIS-C) is a less understood and a rare complication of coronavirus disease-2019 (COVID-19). Given the scarce data regarding...     

Clinical characteristics of pulmonary artery involvement in patients with Behçet’s syndrome: single-centre experience of 61 patients

Clinical Rheumatology - To report the clinical characteristics of pulmonary artery involvement (PAI) in patients with Behçet’s syndrome (BS) and to define the predictors of relapses. We...     

Discrimination between non-functioning pituitary adenomas and hypophysitis using machine learning methods based on magnetic resonance imaging‑derived texture features

Purpose

Hypophysitis is a heterogeneous condition that includes inflammation of the pituitary gland and infundibulum, and it can cause symptoms related to mass effects and hormonal deficiencies. We aimed to evaluate the potential role of machine learning methods in differentiating hypophysitis from non-functioning pituitary adenomas.

Methods

The radiomic parameters obtained from T1A-C images were used. Among the radiomic parameters, parameters capable of distinguishing between hypophysitis and non-functioning pituitary adenomas were selected. In order to avoid the effects of confounding factors and to improve the performance of the classifiers, parameters with high correlation with each other were eliminated. Machine learning algorithms were performed with the combination of gray-level run-length matrix-low gray level run emphasis, gray-level co-occurrence matrix-correlation, and gray-level co-occurrence entropy.

Results

A total of 34 patients were included, 17 of whom had hypophysitis and 17 had non-functioning pituitary adenomas. Among the 38 radiomics parameters obtained from post-contrast T1-weighted images, 10 tissue features that could differentiate the lesions were selected. Machine learning algorithms were performed using three selected parameters; gray level run length matrix-low gray level run emphasis, gray-level co-occurrence matrix-correlation, and gray level co-occurrence entropy. Error matrices were calculated by using the machine learning algorithm and it was seen that support vector machines showed the best performance in distinguishing the two lesion types.

Conclusions

Our analysis reported that support vector machines showed the best performance in distinguishing hypophysitis from non-functioning pituitary adenomas, emphasizing the importance of machine learning in differentiating the two lesions.

     

A case of rhabdomyolysis and thromboembolic event secondary to fibrate monotherapy

Fibrates either alone or in combination with statins have been commonly used for the treatment of high non-HDL-cholesterol levels. In addition, this type of therapy is also associated with some adverse events like rhabdomyolysis. We present the first case in the literature describing the development of both rhabdomyolysis-induced acute renal failure and thromboembolic event under the treatment of fibrate monotherapy.     

Acetyl salicylic acid improves somatosensory evoked potentials in streptozotocin-diabetic rats

Microalbuminuria and retinopathy was studied in a non-proteinuric diabetic population of Cameroon. Patients were enrolled on a consecutive basis in two referral hospitals in Yaoundé. Retinopathy was evaluated by direct ophthalmoscopy and biomicroscopy, and controlled by mydriatic fundus photography. Detection of microalbuminuria was carried out on an overnight urine sample using Micral II test (Boehringer Mannheim). Anthropometric and blood pressure measurements were done using validated methods. In 64 non-proteinuric diabetic patients (9 IDDM and 55 NIDDM) aged 19-70 years with known duration of diabetes of 1-23 years, the prevalence of retinopathy was 37.5%. Microalbuminuria was detected in 53.1% of patients. Microalbuminuria correlated with duration of diabetes, and blood pressure, retinopathy was positively correlated with age, and blood pressure. Retinopathy was not significantly associated with the known duration of diabetes. Retinopathy was found to be independently associated with microalbuminuria (P < 0.001) and microalbuminuria appeared to be a sensitive marker of retinopathy. The prevalence of retinopathy and microalbuminuria in this population was high. Microalbuminuria and non-proliferative retinopathy are independently associated, and are both associated with increased blood pressure levels in the study population. As shown in previous studies microalbuminuria may also be a sensitive marker of early diabetic retinopathy in African diabetic patients.