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Dementia and Alzheimer's

Supporting differential diagnosis and monitoring of atrophy in dementia

icobrain dm

icobrain dm is designed to support the early detection of markers of dementias, comparing whole brain and ventricular volumes to age- and sex-matched healthy controls. 


icobrain dm can also used to assist radiologists and neurologists with the differential diagnosis of the particular type of dementia a patient may have, by providing individual volumes of the cortical lobes and hippocampi, and reporting percentiles compared to the age- and sex-matched healthy control population.


Additionally, icobrain dm can help radiologists and neurologists to evaluate eligibility for amyloid-targeting treatments for Alzheimer's disease, by reporting out the total volume of FLAIR white matter hyperintensities, as well as the number of T2* GRE hypointensities.

icobrain aria

icobrain aria is used to assess side effects to amyloid-targeting therapies for Alzheimer's disease, known as amyloid-related imaging abnormalities (ARIA). It detects edema (gyral swelling and sulcal effusion), microhemorrhages, and superficial siderosis.

Dr. Johan Van Goethem on his experience with icobrain dm

Image by Lino C.

I feel like icobrain’s AI is better at diagnosing hippocampal loss compared to visual rating. Whilst with the volumetric report, we clearly see a hippocampal loss, we could not identify this by visual assessment (MTA-score)

I feel like icobrain’s AI is better at diagnosing hippocampal loss compared to visual rating. Whilst with the volumetric report, we clearly see a hippocampal loss, we could not identify this by visual assessment (MTA-score)

Geoffrey De Roeck, Radiologist at AZ Herentals

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0.99

AUC for Alzheimer's vs. HCs
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40%

Reduction in radiological reading time
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35%

increased radiological consistency when employing icobrain
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Image by Lino C.

Like icobrain, brain biomarker measurements need to be extremely reproducible and sensitive enough to detect relevant clinical changes.

Like icobrain, brain biomarker measurements need to be extremely reproducible and sensitive enough to detect relevant clinical changes.

Max Wintermark, Radiologist at Stanford University

Key scientific publications

Whole brain and grey matter volume of Japanese patients with multiple sclerosis

Akaishi et al. (2017)

Combining semi-quantitative rating and automated brain volumetry in MRI evaluation of patients with probable behavioural variant of fronto-temporal dementia: an added value for clinical practise?

Calloni et al. (2023)

Cost-Effectiveness Analysis of AI-Assisted Radiological Assessment in Patients With Relapsing Remitting Multiple Sclerosis in the UK

Esposito et al. (2022)

Intercontinental validation of brain volume measurements using MSmetrix

Finkelsztejn et al. (2017)

Correlation of clinical findings and brain volume data in multiple sclerosis

Fragoso et al. (2017)

The Use of Biomarkers and Genetic Screening to Diagnose Frontotemporal Dementia: Evidence and Clinical Implications

Gossye et al. (2019)

A Retrospective Belgian Multi-Center MRI Biomarker Study in Alzheimer's Disease (REMEMBER)

Niemantsverdriet et al. (2018)

Association of short-term cognitive decline and MCI-to-AD dementia conversion with CSF, MRI, amyloid- and 18F-FDG-PET imaging

Ottoy et al. (2019)

Health Economic Impact of Software-Assisted Brain MRI on Therapeutic Decision-Making and Outcomes of Relapsing-Remitting Multiple Sclerosis Patients—A Microsimulation Study

Sima et al. (2021)

A deep learning model for brain segmentation across pediatric and adult populations

Simarro et al. (2024)

Reliable measurements of brain atrophy in individual patientswith multiple sclerosis

Smeets et al. (2016)

Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: validation of icobrain dm

Struyfs et al. (2020)

Diagnostic Performance of Automated MRI Volumetry by icobrain dm for Alzheimer's Disease in a Clinical Setting: A REMEMBER Study

Wittens et al. (2021)

Inter- and Intra-Scanner Variability of Automated Brain Volumetry on Three Magnetic Resonance Imaging Systems in Alzheimer’s Disease and Controls

Wittens et al. (2021)

Brain age as a biomarker for pathological versus healthy ageing – a REMEMBER study

Wittens et al. (2024)

Towards validation in clinical routine: a comparative analysis of visual MTA ratings versus the automated ratio between inferior lateral ventricle and hippocampal volumes in Alzheimer’s disease diagnosis

Wittens et al. (2024)

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Make every clinical decision with confidence

Latest news & press

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American College of Radiology (ACR) and icometrix collaborate to improve the quality of care for people with Alzheimer’s diseas

Virginia, VA – April 2nd, 2025 The American College of Radiology (ACR), the professional medical society dedicated to advancing radiology...

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Market approval for icobrain aria

icometrix is proud to announce the market approval of icobrain aria , the first market-approved solution for monitoring amyloid-related...

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Groundbreaking clinical validation of icobrain aria

In a landmark achievement for Alzheimer's disease treatment, icometrix unveils the groundbreaking clinical validation of icobrain aria ...

Other solutions

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Multiple Sclerosis

Accurately visualize lesion and brain volume changes over time in multiple sclerosis

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Amyloid-related imaging abnormalities

Detect, measure and grade ARIA-E and ARIA-H

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Traumatic brain injury

Quantify traumatic brain injury and track structural changes

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Epilepsy

Supporting differential diagnosis of epilepsy through abnormality patterns

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Stroke

Measure stroke lesion volumes and perfusion abnormalities

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Parkinson’s disease

Quantifies volumes of basal ganglia, brainstem, cerebellum, cortex, and ventricles.

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Brain tumors

Track changes in tumor resection cavity, core, and edema

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