Publications by authors named "F Cuce"
Background: Trigeminal neuralgia is a disease characterized by severe facial pain that significantly reduces patients quality of life. Trigeminal neuralgia is subcategorized as idiopathic, classic or secondary. Magnetic resonance imaging is the basis for classification, but neurophysiological tests are also used.
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- - A 24-year-old female developed adult-onset asthma after experiencing mildly symptomatic COVID-19, despite having no previous respiratory issues.
- - Persistent symptoms like fatigue, exercise-related shortness of breath, and cough led to lung function testing, which revealed issues despite normal CT scans.
- - Treatment with Budesonide/formoterol showed improvement, but further testing confirmed bronchial hyperreactivity, highlighting the need for awareness of lasting respiratory symptoms post-COVID and the initiation of research into the causes.
Article Synopsis
- The study evaluates a deep learning algorithm's ability to distinguish between osteomyelitis (OM), Charcot neuropathic osteoarthropathy (CNO), and trauma (TR) using T1 and T2-weighted MRI images.
- Out of 148 patients, 679 regions were labeled for T1-weighted images and 714 for T2-weighted images, and the study achieved high accuracy rates (up to 97.1%) using ResNet-50 and EfficientNet-b0 models.
- The deep learning approach demonstrated strong sensitivity and specificity rates, indicating its effectiveness as a non-invasive tool for differentiating these conditions in diabetic foot patients.
Purpose: Asymptomatic primary hyperparathyroidism (aPHPT) has been recognized as a condition that can lead to renal complications. Timely identification of prognostic indicators for renal impairment holds the potential to facilitate proactive monitoring and treatment strategies in these patients. This study aims to investigate the utility of acoustic radiation force impulse (ARFI) imaging and renal resistive index (RRI), in identifying renal parenchymal and vascular changes in patients with aPHPT.
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- A study was conducted to distinguish bone marrow signal abnormalities (BMSA) in patients with Charcot neuroarthropathy (CN) and osteomyelitis (OM) using radiomics methods.
- The research involved analyzing the MRI records of 166 patients, confirming OM histologically in 24 and clinically assessing 17 as CN, while including an additional group of 29 nondiabetic patients.
- Results showed that the accuracy of the Multi-Layer Perceptron (MLP) model was high, with MCC scores of 76.92% for T1 and 84.38% for T2 images, indicating that the radiomics approach can effectively differentiate between CN and OM in diabetic foot cases.