18 research outputs found

    Neuromyelitis optica: An update

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    Acute Symptomatic Sinus Bradycardia in High-Dose Methylprednisolone Therapy in a Woman With Inflammatory Myelitis: A Case Report and Review of the Literature

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    High dose corticosteroid therapy is widely used as attack therapy of inflammatory central nervous system disorders and can induce several adverse reactions. Bradycardia is an infrequent event after corticosteroids administration and is often asymptomatic. We report a case of a woman admitted to the neurological department of our hospital for paraesthesias of the lower limbs. She received adiagnosis of inflammatory myelitis and high dose corticosteroid therapy was prescribed. During the therapy she complained of chest tightness, dyspnoea, weakness and malaise. An electrocardiogram revealed sinus bradycardia. A significant increase in body weight, probably due to plasma volume expansion, was detected. Bradycardia and high blood pressure spontaneously resolved in few days. We provide a collection and a statistical analysis of literature data about steroid induced bradycardia. We found that higher total doses are associated with lower pulse rate and symptomatic bradycardia. Bradycardia is more frequent in older patients and those with underlying cardiac disease or with autonomic disturbance. However clinicians must be aware about the occurrence of symptomatic bradycardia in all patients who undergo high dose corticosteroid therapy, not only in those at risk, to early detect and treat this potentially dangerous condition

    Convolutional Neural Network-Based Automated Segmentation of Skeletal Muscle and Subcutaneous Adipose Tissue on Thigh MRI in Muscular Dystrophy Patients

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    We aim to develop a deep learning-based algorithm for automated segmentation of thigh muscles and subcutaneous adipose tissue (SAT) from T1-weighted muscle MRIs from patients affected by muscular dystrophies (MDs). From March 2019 to February 2022, adult and pediatric patients affected by MDs were enrolled from Azienda Ospedaliera Universitaria Pisana, Pisa, Italy (Institution 1) and the IRCCS Stella Maris Foundation, Calambrone-Pisa, Italy (Institution 2), respectively. All patients underwent a bilateral thighs MRI including an axial T1 weighted in- and out-of-phase (dual-echo). Both muscles and SAT were manually and separately segmented on out-of-phase image sets by a radiologist with 6 years of experience in musculoskeletal imaging. A U-Net1 and U-Net3 were built to automatically segment the SAT, all the thigh muscles together and the three muscular compartments separately. The dataset was randomly split into the on train, validation, and test set. The segmentation performance was assessed through the Dice similarity coefficient (DSC). The final cohort included 23 patients. The estimated DSC for U-Net1 was 96.8%, 95.3%, and 95.6% on train, validation, and test set, respectively, while the estimated accuracy for U-Net3 was 94.1%, 92.9%, and 93.9%. Both of the U-Nets achieved a median DSC of 0.95 for SAT segmentation. The U-Net1 and the U-Net3 achieved an optimal agreement with manual segmentation for the automatic segmentation. The so-developed neural networks have the potential to automatically segment thigh muscles and SAT in patients affected by MDs
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