Description: Kio Medical has developed a software that relies on the susceptibility induced signal loss on T2*-weighted sequences which results from a bolus of gadoliniumbased contrast passing through a capillary bed. The most commonly calculated parameters in this software are rCBV, rCBF, and MTT as dynamic susceptibility contrast-enhanced MR perfusion, still abbreviated to DSC. This software also noninvasively characterizes tumor biology allowing for the diagnosis and therapeutic monitoring of glioma. Disease: ❖ Solid tumor ❖ Prostate cancer ❖ Rectal cancer

Description: Kio Medical has developed a software to automatically extract vascular-based imaging biomarkers to detect changes associated with increased tumor neoangiogenesis activity and aggressiveness. It used in the software helps detect neoplasms and quantifies tumor neoangiogenesis to stage cancer aggressiveness. This tool is useful for the characterization of tumoral processes in the early detection, diagnosis, treatment response evaluation and follow-up of patients with cancer.     Disease: Solid tumor Prostate cancer Rectal cancer Endometrial cancer Liver cancer Related Contents:

Description: Kio Medical’s software enables to automatically calculate the apparent diffusion coefficient (ADC) to quantify the diffusion of water molecules in tissues. It provides information on the cellular and microstructural organization of tissues and highlights the relationship between pathological changes and the diffusion of water molecules. This is useful for the characterization of tumoral processes to improve early detection, diagnosis, treatment response evaluation and follow-up of patients with gliomas, meningiomas and lymphomas as well as ischemic injuries. Disease: Glioma Meningiomas

Perfusion Imaging Perfusion is a fundamental biological function that refers to the delivery of oxygen and nutrients to tissue by means of blood flow. Perfusion MRI is sensitive to microvasculature and has been applied in a wide variety of clinical applications, including the classification of tumors, identification of stroke regions, and characterization of other diseases. Perfusion MRI techniques are classified with or without using an exogenous contrast agent. Bolus methods, with injections of a contrast agent, provide better sensitivity with

MRS imaging Magnetic Resonance (MR) spectroscopy is a noninvasive diagnostic test for measuring biochemical changes in the brain, especially the presence of tumors. While magnetic resonance imaging (MRI) identifies the anatomical location of a tumor, MR spectroscopy compares the chemical composition of normal brain tissue with abnormal tumor tissue. This test can also be used to detect tissue changes in stroke and epilepsy. MR spectroscopy is conducted on the same machine as conventional MRI. The MRI scan uses a powerful

Functional Magnetic Resonance Imaging (fMRI) Functional magnetic resonance imaging (fMRI) measures the small changes in blood flow that occur with brain activity. It may be used to examine the brain’s functional anatomy, (determine which parts of the brain are handling critical functions), evaluate the effects of stroke or other disease, or to guide brain treatment. FMRI may detect abnormalities within the brain that cannot be found with other imaging techniques. FMRI is becoming the diagnostic method of choice for learning

The calculation of perfusion analysis is based on measurements taken while the bolus travels through the blood system. The starting point is the arterial input function (AIF), measured at the artery before the contrast agent bolus travels through the region of interest (ROI). Perfusion analysis from first-pass contrast enhancement kinetics requires modeling tissue contrast exchange. To streamline the integrated analysis of perfusion parameters, there is a present a visual analysis approach incorporating pre-processing and statistical methods. Motion correction and noise

MRS Analysis Equally as important as the pulse sequence used to record the data is the software used for data analysis. Ideally, fully automated spectral curve-fitting algorithms should be used to provide a quantitative estimate of each metabolite concentration. However, although such software exists and is often used in clinical research studies, it is little utilized in routine clinical practice, where visual interpretation (as in most radiological readings) is most common. Other commonly used metrics include ratios of metabolites such

Alzheimer’s imaging Alzheimer’s (Dementia) is an acquired syndrome in which a person suffers from progressive impairment in one of the following six cognitive domains: complex attention, executive function, learning and memory, language, perceptual-motor function, and/or social cognition. These cognitive deficits cannot be attributed to another mental disorder (e.g., depression or schizophrenia) and must be severe enough to interfere with independent daily functioning to be classified as a “major neurocognitive disorder” (major NCD) according to the DSM-V edition. This new choice