The potential role of machine learning and deep learning in differential diagnosis of Alzheimer's disease and FTD using imaging biomarkers: A review.

Introduction: The prevalence of neurodegenerative diseases has significantly increased, necessitating a deeper understanding of their symptoms, diagnostic processes, and prevention strategies. Frontotemporal dementia (FTD) and Alzheimer's disease (AD) are two prominent neurodegenerative conditions that present diagnostic challenges due to overlapping symptoms. To address these challenges, experts utilize a range of imaging techniques, including magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), positron emission tomography (PET), and single-photon emission computed tomography (SPECT).

A randomized, double-blind, placebo-controlled clinical trial to evaluate pregabalin efficacy in the treatment of behavioral and psychological symptoms of dementia in patients with Alzheimer's disease.

Background: Behavioral and Psychological Symptoms of Dementia (BPSD) are common during Alzheimer's disease and cause severe problems for patients and their caregivers.

Objectives: To assess the therapeutic efficacy of Pregabalin in comparison with a placebo in treating BPSD in patients with Alzheimer's disease (AD) visiting the memory and cognition clinic of Roozbeh Psychiatric Hospital in Tehran, Iran.

Methods: A 12-week double-blind, randomized comparison of Pregabalin and placebo treatments was conducted in 53 patients with DSM-V diagnosis of dementia of Alzheimer's type.

Effect of Controlling the Cardiovascular Risk Factors on the Cognitive Decline Prevention in the Elderly: A Systematic Review.

With the increasing proportion of the elderly population, neurodegenerative diseases such as dementia are becoming more prevalent worldwide. Vascular risk factors are considered significant targets for cognitive decline prevention. We reviewed the effect of cardiovascular risk factors on cognitive decline prevention in the elderly to evaluate the quantity and quality of evidence in managing the elderly population with cognitive decline.

Magnetic Resonance Image Radiomic Reproducibility: The Impact of Preprocessing on Extracted Features from Gross and High-Risk Clinical Tumor Volumes in Cervical Cancer Patients before Brachytherapy.

Background: Radiomic feature reproducibility assessment is critical in radiomics-based image biomarker discovery. This study aims to evaluate the impact of preprocessing parameters on the reproducibility of magnetic resonance image (MRI) radiomic features extracted from gross tumor volume (GTV) and high-risk clinical tumor volume (HR-CTV) in cervical cancer (CC) patients.

Methods: This study included 99 patients with pathologically confirmed cervical cancer who underwent an MRI prior to receiving brachytherapy.