Background: A submammary approach to implanting pulse generators is innovative and has yielded good aesthetic results in the current literature. It was our aim to make a comparison of patient device acceptance, tolerance, and complications between submammary and abdominal device locations in deep brain stimulation.
Methods: Twenty-five and 28 patients were included in the submammary and abdominal groups, respectively. Our primary criterion was patient acceptance that was calculated using total Florida Patient Acceptance Survey (FPAS) scores in each group. Secondarily, tolerance was assessed in the submammary group by means of a specific questionnaire.
Results: Total FPAS scores from the submammary group [total FPAS: 77.1 versus 74.7, P = 0.29] revealed no significant difference when compared with the abdominal group. The same similarities were observed regarding the 4 subscales: return to function [16.3 versus 15.8, P = 0.53], device-related distress [22.0 versus 21.3, P = 0.31], body image concerns [9.2 versus 8.6, P = 0.14], and positive appraisal [17.8 versus 17.4, P = 0.58]. Tolerance was reported as good by the majority of the women from the submammary group. There was no evidence of higher infection rates in the submammary implantation (SMI) group.
Conclusions: SMI is a satisfactory alternative to other deep brain stimulation locations. SMI is a feasible option for any young woman who is eligible for deep brain stimulation.
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http://dx.doi.org/10.1016/j.wneu.2022.08.126 | DOI Listing |
Health Inf Sci Syst
December 2025
School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.
Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.
Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.
Background And Aims: The lack of therapeutic response characterizes treatment-resistant depression despite undergoing at least two adequate monotherapy trials with medications from distinct pharmacologic classes. The inability to attain remission in patients diagnosed with major depressive disorder (MDD) is a significant issue of concern within public health. Therefore, the management of treatment-resistant depression (TRD) poses significant obstacles for both patients and healthcare professionals.
View Article and Find Full Text PDFFront Aging Neurosci
January 2025
Department of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Background: White matter hyperintensity (WMH) and brain atrophy, as imaging marker of cerebral small-vessel diseases (CSVD), have a high prevalence and strong prognostic value in stroke. We aimed to explore the association between lymphocyte count, a maker of inflammation, and WMH and brain atrophy in patients with acute ischemic stroke (AIS).
Methods: A total of 727 AIS patients with lymphocyte count and brain magnetic resonance imaging data were enrolled.
Front Neuroinform
January 2025
Department of Computer Science and Engineering, Institute of Technology, Nirma University, Gujarat, India.
Introduction: The prevalence of age-related brain issues has risen in developed countries because of changes in lifestyle. Alzheimer's disease leads to a rapid and irreversible decline in cognitive abilities by damaging memory cells.
Methods: A ResNet-18-based system is proposed, integrating Depth Convolution with a Squeeze and Excitation (SE) block to minimize tuning parameters.
Cancer is a condition in which cells in the body grow uncontrollably, often forming tumours and potentially spreading to various areas of the body. Cancer is a hazardous medical case in medical history analysis. Every year, many people die of cancer at an early stage.
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