Diagnosis Of Dementia Syndromes Research Articles

Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging

IntroductionDementia syndromes can be difficult to diagnose. We aimed at building a classifier for multiple dementia syndromes using magnetic resonance imaging (MRI). MethodsAtlas-based volumetry was performed on T1-weighted MRI data of 426 patients and 51 controls from the multi-centric German Research Consortium of Frontotemporal Lobar Degeneration including patients with behavioral variant frontotemporal dementia, Alzheimer’s disease, the three subtypes of primary progressive aphasia, i.e., semantic, logopenic and nonfluent-agrammatic variant, and the atypical parkinsonian syndromes progressive supranuclear palsy and corticobasal syndrome. Support vector machine classification was used to classify each patient group against controls (binary classification) and all seven diagnostic groups against each other in a multi-syndrome classifier (multiclass classification). ResultsThe binary classification models reached high prediction accuracies between 71 and 95% with a chance level of 50%. Feature importance reflected disease-specific atrophy patterns. The multi-syndrome model reached accuracies of more than three times higher than chance level but was far from 100%. Multi-syndrome model performance was not homogenous across dementia syndromes, with better performance in syndromes characterized by regionally specific atrophy patterns. Whereas diseases generally could be classified vs controls more correctly with increasing severity and duration, differentiation between diseases was optimal in disease-specific windows of severity and duration. DiscussionResults suggest that automated methods applied to MR imaging data can support physicians in diagnosis of dementia syndromes. It is particularly relevant for orphan diseases beside frequent syndromes such as Alzheimer’s disease.

HOW AD-SPECIFIC IS FDG AS A BIOMARKER?

The diagnosis of dementia syndromes can be challenging for clinicians, particularly in the early stages of disease or when confounded by comorbid conditions like depression, or the use of certain medications. A high degree of certainty is required for the diagnosis of Alzheimer disease or some other neurodegenerative condition, due to the potential impact on patients and their relatives/caregivers. Furthermore, accurate diagnosis is important because different therapeutic strategies are implemented depending on the cause of the dementia. Therefore, imaging biomarkers play a crucial role in the diagnosis of individuals with progressive cognitive decline and dementia. FDG PET is a highly sensitive, widely available, relatively less expensive imaigng technique that allows differentiation of multiple dementing conditions based on the detection of regional synaptic dysfunction and neuronal injury, but the accurate interpretation of FDG PET requires recognition of typical metabolic patterns of various dementing conditions and distinguish them from the potential artifacts introduced by image processing. Neuropathological studies confirmed that temporoparietal and posterior cingulate hypometabolism with relatively preserved metabolism in the primary coretices is the typical pattern associated with AD. While a metabolic pattern other than temporoparietal hypometabolism in individuals with dementia usually indicates a non-AD cause of dementia, the typical AD-like pattern becomes less clear with advanced age, and somewhat confusing patterns can also be seen in non-AD conditions, such as dementia with Lewy bodies, Creutzfeldt–Jakob disease, primary progressive aphasia, and cerebrovascular disease.

Reversible Methotrexate‐Induced Dementia: A Case Report

Reversible Methotrexate‐Induced Dementia: A Case Report

Brain PET in suspected dementia: patterns of altered FDG metabolism.

The diagnosis of dementia syndromes can be challenging for clinicians, particularly in the early stages of disease. Patients with higher education levels may experience a marked decline in cognitive function before their dementia is detectable with routine testing methods. In addition, comorbid conditions (eg, depression) and the use of certain medications can confound the clinical assessment. Clinicians require a high degree of certainty before making a diagnosis of Alzheimer disease or some other neurodegenerative disorder, since the impact on patients and their families can be devastating. Moreover, accurate diagnosis is important because emerging therapeutic regimens vary depending on the cause of the dementia. Clinically based testing is useful; however, the results usually do not enable the clinician to make a definitive diagnosis. For this reason, imaging biomarkers are playing an increasingly important role in the workup of patients with suspected dementia. Positron emission tomography with 2-[fluorine-18]fluoro-2-deoxy-D-glucose allows detection of neurodegenerative disorders earlier than is otherwise possible. Accurate interpretation of these studies requires recognition of typical metabolic patterns caused by dementias and of artifacts introduced by image processing. Although visual interpretation is a vital component of image analysis, computer-assisted diagnostic software has been shown to increase diagnostic accuracy.

Destructive, multifocal squamous-cell carcinoma nodules on the cheecks and neck of an elderly woman with a dementia syndrome

Introduction: Squamous-cell carcinoma is the second most common form of skin cancer. It can develop on normal skin, actinic keratoses, leukoplakia, and burn scars. The tumor is characterized by remarkable variability at the macroscopic and histopathologic levels. Case report: A 93-year-old woman was admitted to nursing home with a diagnosis of dementia syndrome and squamous cell nodular carcinoma on cheeks and neck region. The physical examination revealed firm, black excrescences with irregular surfaces over both cheekbones, which were roughly the size of hazelnuts. Similar nodules were present with ulcers on other areas of the face. The patient was admitted to the day hospital twice for wide excision of the tumors in the zygomatic region. Later, the neck tumors were removed, and the wound was repaired with a rotation flap after careful control of bleeding. For the latter surgery, the patient was hospitalized for a few days in a geriatric ward to ensure optimal medical care and psychological support. The histological examination revealed ulcerated, well-differentiated squamous-cell carcinoma that extended down to the subcutaneous layer. Shortly after surgery, she returned to the nursing home to resume rehabilitation and group therapy.

Carcinoma a cellule squamose nodulare multifocale delle regioni zigomatiche e destruente del collo in una grande anziana con sindrome demenziale

Squamous-cell carcinoma is the second most common form of skin cancer. It can develop on normal skin, actinic keratoses, leukoplakia, and burn scars. The tumor is characterized by remarkable variability at the macroscopic and histopathologic levels. A 93-year-old woman was admitted to nursing home with a diagnosis of dementia syndrome and squamous cell nodular carcinoma on cheeks and neck region. The physical examination revealed firm, black excrescences with irregular surfaces over both cheekbones, which were roughly the size of hazelnuts. Similar nodules were present with ulcers on other areas of the face. The patient was admitted to the day hospital twice for wide excision of the tumors in the zygomatic region. Later, the neck tumors were removed, and the wound was repaired with a rotation flap after careful control of bleeding. For the latter surgery, the patient was hospitalized for a few days in a geriatric ward to ensure optimal medical care and psychological support. The histological examination revealed ulcerated, well-differentiated squamous-cell carcinoma that extended down to the subcutaneous layer. Shortly after surgery, she returned to the nursing home to resume rehabilitation and group therapy.

Neurochemical dementia diagnostics: assays in CSF and blood

In this review, current neurochemical dementia diagnostics (NDD) procedures are presented with a focus on biomarkers in the cerebrospinal fluid (CSF) and blood: amyloid beta peptides, tau protein, and its phosphorylated form (pTau). CSF analysis is an increasingly important tool for early and differential diagnosis of dementia syndromes. Although lumbar puncture is a mildly invasive procedure with a low incidence of complications, establishing blood assays capable of reliably measuring NDD biomarkers is an aim of several studies worldwide.

Structural magnetic resonance tomography in diagnosis and research of Alzheimer type dementia

One of the most widely used neuroimaging procedures in Psychiatry and Neurology is magnetic resonance imaging (MRI). MRI has gained the position of a standard investigation in the differential diagnosis of dementia syndromes. In the clinical diagnosis of Alzheimer's disease (AD) MRI helps to improve the diagnostical accuracy. Recently new MRI-based techniques for performing volumetric measurement of cortical and subcortical structures have been developed. First reports indicate that MRI-based volumetric measurements can be accurate in differentiating AD patients from cognitively normal elderly individuals. These new techniques may be useful adjunct in assessing the clinical diagnosis of AD. Results could also yield insight in the fundamental pathology of the degenerative disease. It is the objective of this chapter to summarize and comment on the significance of MRI in the diagnosis and research of AD. Future directions are outlined, including the use of microscopic MRI, the differentiation of white matter signal hyperintensities and the combined evaluation of structural MRI and functional imaging techniques.