Radiomics and Quantitative MDA Criteria in Breast Cancer with Bone Metastases by MRI: Examples of Calculation Algorithms and Their Practical Use.

Unlabelled: In the practical work of a radiologist or oncologist, especially in the context of individualized treatment, there is a need for fast and in-depth diagnostics. Radiomics and artificial intelligence can be of great help here. Quantitative and qualitative assessments obtained in this way act as decision support for the physician.

On the analysis of functional PET (fPET)-FDG: baseline mischaracterization can introduce artifactual metabolic (de)activations.

Functional Positron Emission Tomography (fPET) with (bolus plus) constant infusion of [F]-fluorodeoxyglucose FDG), known as fPET-FDG, is a recently introduced technique in human neuroimaging, enabling the detection of dynamic glucose metabolism changes within a single scan. However, the statistical analysis of fPET-FDG data remains challenging because its signal and noise characteristics differ from both classic bolus-administration FDG PET and from functional Magnetic Resonance Imaging (fMRI), which together compose the primary sources of inspiration for analytical methods used by fPET-FDG researchers. In this study, we present an investigate of how inaccuracies in modeling baseline FDG uptake can introduce artifactual patterns to detrended TAC residuals, potentially introducing spurious (de)activations to general linear model (GLM) analyses.

Patient assessment and feasibility of treatment in older patients with cancer: results from the IN-GHO Registry.

Purpose: Predicting feasibility of treatment in older patients with cancer is a major clinical task. The Initiative Geriatrische Hämatologie und Onkologie (IN-GHO) registry prospectively collected data on the comprehensive geriatric assessment (CGA), physician's and patient's-self assessment of fitness for treatment, and the course of treatment in patients within a treatment decision aged ≥ 70 years.

Patients And Methods: The registry included 3169 patients from 93 centres and evaluated clinical course and treatment outcomes 2-3 and 6 months after initial assessment.

Mathematical synthesis of the cortical circulation for the whole mouse brain-part II: Microcirculatory closure.

Recent advancements in multiphoton imaging and vascular reconstruction algorithms have increased the amount of data on cerebrovascular circulation for statistical analysis and hemodynamic simulations. Experimental observations offer fundamental insights into capillary network topology but mainly within a narrow field of view typically spanning a small fraction of the cortical surface (less than 2%). In contrast, larger-resolution imaging modalities, such as computed tomography (CT) or magnetic resonance imaging (MRI), have whole-brain coverage but capture only larger blood vessels, overlooking the microscopic capillary bed.

Voxelized simulation of cerebral oxygen perfusion elucidates hypoxia in aged mouse cortex.

Departures of normal blood flow and metabolite distribution from the cerebral microvasculature into neuronal tissue have been implicated with age-related neurodegeneration. Mathematical models informed by spatially and temporally distributed neuroimage data are becoming instrumental for reconstructing a coherent picture of normal and pathological oxygen delivery throughout the brain. Unfortunately, current mathematical models of cerebral blood flow and oxygen exchange become excessively large in size.