Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas

ObjectiveThis study aims to assess the value of biomarker based radiomics to predict IDH mutation in gliomas. The patient cohort consists of 160 patients histopathologicaly proven of primary glioma (WHO grades 2–4) from 3 different centers.MethodsTo quantify the DSC perfusion signal two different mathematical modeling methods were used (Gamma fitting, leakage correction algorithms) considering the assumptions about the compartments contributing in the blood flow between the extra- and intra vascular space.ResultsThe Mean slope of increase (MSI) and the K1 parameter of the bidirectional exchange model exhibited the highest performance with (ACC 74.3% AUROC 74.2%) and (ACC 75% AUROC 70.5%) respectively.ConclusionThe proposed framework on DSC-MRI radiogenomics in gliomas has the potential of becoming a reliable diagnostic support tool exploiting the mathematical modeling of the DSC signal to characterize IDH mutation status through a more reproducible and standardized signal analysis scheme for facilitating clinical translation

P3‐209: Impact of Biomarkers On Diagnostic Confidence in Clinical Assessment of Patients with Suspected Alzheimer's Disease and High Diagnostic Uncertainty: An EADC Study

Background: NIA-AA and IWG diagnostic criteria for Alzheimer's Disease (AD) include core structural, functional, and CSF biomarkers. The impact of core biomarkers in clinical settings is still unclear. This study aimed at measuring the impact of core biomarkers on the diagnostic confidence of uncertain AD cases in a routine memory clinic setting. // Methods: 356 patients with mild dementia (MMSE = 20) or Mild Cognitive Impairment possibly due to AD were recruited in 17 European Alzheimer's Disease Consortium (EADC) memory clinics. The following variables were collected: age; sex; MMSE; neuropsychological evaluation including long term memory, executive functions, language and visuospatial abilities. Core biomarkers were collected following local practices: Scheltens’s visual assessment of medial temporal atrophy (MTA) on MR scan; visual assessment of hypometabolism/hypoperfusion on FDG-PET/SPECT brain scan; CSF Aß1-42, tau and phospho-tau levels. At diagnostic workup completion, an estimate of confidence that cognitive complaints were due to AD was elicited from clinicians on a structured scale ranging from 0 to 100. Only cases with uncertain diagnoses (confidence between 15% and 85%) were retained for analysis. Generalized linear models were used to describe the relationship between the collected measures and the diagnostic confidence of AD. // Results: Neuropsychological assessment was carried out in almost all cases (98% of the cases). Medial temporal atrophy ratings were done in 40% of cases, assessment of cortical hypometabolism/hypoperfusion in 34%, and CSF Aß and tau levels in 26%. The markers that better explained the variability of diagnostic confidence were CSF Aß1-42 level (R2=0.46) and hypometabolism/hypoperfusion (R2=0.45), followed by CSF tau level (R2=0.35), MTA assessment (R2=0.32) and. All figures were highly significant, at p<<0.001. The diagnostic confidence variability due to neuropsychological tests for different domains was lower: MMSE (R2=0.29); long term memory (R2=0.23); executive functions (R2=0.05); language (R2=0.02); visuospatial abilities (R2=0.04) even if significant (p<0.01). // Conclusions: The use of core biomarkers in the clinical assessment of subjects with suspected AD and high diagnostic uncertainty is still limited. However, when assessed, these biomarkers show a higher impact on diagnostic confidence of AD than the most widespread clinical measures

Infarct-core CT perfusion parameters in predicting post-thrombolysis hemorrhagic transformation of acute ischemic stroke

Intravenous thrombolysis (IVT) is the method of choice in reperfusion treatment of patients with signs and symptoms of acute ischemic stroke (AIS) lasting less than 4.5 hours. Hemorrhagic transformation (HT) of acute ischemic stroke is a serious complication of IVT and occurs in 4.5–68.0% of clinical cases. The aim of our study was to determine the infarct core CT perfusion parameter (CTPP) most predictive of HT

Blood-brain barrier permeability imaging using perfusion computed tomography

Background. The blood-brain barrier represents the selective diffusion barrier at the level of the cerebral microvascular endothelium. Other functions of blood-brain barrier include transport, signaling and osmoregulation. Endothelial cells interact with surrounding astrocytes, pericytes and neurons. These interactions are crucial to the development, structural integrity and function of the cerebral microvascular endothelium. Dysfunctional blood-brain barrier has been associated with pathologies such as acute stroke, tumors, inflammatory and neurodegenerative diseases

Artery of Percheron infarction: review of literature with a case report

Background. Clinical features indicating an ischemic infarction in the territory of posterior cerebral circulation require a comprehensive radiologic examination, which is best achieved by a multi-modality imaging approach (computed tomography [CT], CT-perfusion, computed tomography angiography [CTA], magnetic resonance imaging [MRI] and diffusion weighted imaging [DWI]). The diagnosis of an acute ischemic infarction, where the damage of brain tissue may still be reversible, enables selection of appropriate treatment and contributes to a more favourable outcome. For these reasons it is essential to recognize common neurovascular variants in the territory of the posterior cerebral circulation, one of which is the artery of Percheron

Prognostic role of diffusion weighted and dynamic contrast-enhanced MRI in loco-regionally advanced head and neck cancer treated with concomitant chemoradiotherapy

In the study, the value of pre-treatment dynamic contrast-enhanced (DCE) and diffusion weighted (DW) MRI-derived parameters as well as their changes early during treatment was evaluated for predicting disease-free survival (DFS) and overall survival (OS) in patients with locoregionally advanced head and neck squamous carcinoma (HNSCC) treated with concomitant chemoradiotherapy (cCRT) with cisplatin

Non-contrast computed tomography in the diagnosis of cerebral venous sinus thrombosis

The aim of the study was to investigate the sensitivity and specificity of non-contrast computed tomography (NCCT) in the diagnosis of cerebral venous sinus thrombosis (CVST)

ADC values as a biomarker of fetal brain maturation

During the period of fetal development, myelination plays a key role and follows specific time and spatial sequences. The water content in the brain is inversely proportional to myelination – the more myelinated the brain, the lower the water content in it. The diffusion of water molecules can be quantitatively assessed using the apparent diffusion coefficient (ADC). We were interested in whether, by determining the ADC values, we could quantitatively evaluate the development of the fetal brain

Dynamic susceptibility contrast enhanced (DSC) MRI perfusion and plasma cytokine levels in patients after tonic-clonic seizures

Inflammatory events in brain parenchyma and glial tissue are involved in epileptogenesis. Blood concentration of cytokines is shown to be elevated after tonic-clonic seizures. As a result of inflammation, blood-brain barrier leakage occurs. This can be documented by imaging techniques, such is dynamic susceptibility contrast enhanced (DSC) MRI perfusion. Our aim was to check for postictal brain inflammation by studying DSC MRI perfusion and plasma level of cytokines. We looked for correlations between number and type of introducing seizures, postictal plasma level of cytokines and parameters of DSC MRI perfusion. Furthermore, we looked for correlation of those parameters and course of the disease over one year follow up