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Definiens Signs Agreement with Clarient to Offer Validated Solutions for Routine Clinical Pathology Testing

Definiens, the global leader in image analysis for digital pathology and diagnostics recently announced the signing of an agreement with Clarient Diagnostic Services, Inc.- which extends the use of Definiens’ automated image analysis software and solutions in Clarient’s validated clinical applications for immunohistochemistry testing in breast cancer. Definiens’ proprietary Cognition Network Technology® is core to automatically classify and quantitate key tissue features as part of Clarient’s Scope IA Platform offering to its pathology customers.

Ventana Receives FDA Clearance for Estrogen Receptor (ER) Image Analysis and Digital Read Application for Breast Cancer

Ventana Medical Systems, Inc. (Ventana), a member of the Roche Group, recently received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for the Companion Algorithm ER (SP1) image analysis algorithm used with the VENTANA iScan Coreo scanner running Virtuoso software. With this clearance, Ventana is now the only company in the industry offering a comprehensive portfolio of FDA-cleared image analysis algorithms and digital read applications for the five key immunohistochemistry (IHC) breast markers.

Personalized Medicine Roadmap: Definiens Releases Five Steps to Utilize Data Mining with Image Analysis

Definiens, a healthcare company that advances personalized medicine through image analysis and digital pathology solutions, recently released tips for integrating data mining with image analysis. As pathologists, researchers and clinicians seek to advance personalized medicine through the development and prescription of targeted therapies, data generated through image analysis of digitized tissue sections is becoming essential to stratifying patients and providing personalized care.

Definiens and Advanced Cell Diagnostics Launch Software for Quantitative RNA In Situ Hybridization

Definiens AG, a healthcare company that advances personalized medicine through image analysis and digital pathology solutions, and Advanced Cell Diagnostics (ACD) of Hayward California, a leader in molecular pathology, announced recently the commercial launch of RNAscope® SpotStudio™, a custom-designed image analysis software application for ACD’s RNAscope®Assays to detect and quantify RNA biomarkers. By combining state-of-the-art image analysis and advanced in situ hybridization technologies, gene expression can be measured quantitatively at single cell resolution and interpreted by pathologists within context.

Path of Plaque Buildup in Brain Shows Promise as Early Biomarker for Alzheimer’s Disease

The trajectory of amyloid plaque buildup—clumps of abnormal proteins in the brain linked to Alzheimer’s disease—may serve as a more powerful biomarker for early detection of cognitive decline rather than using the total amount to gauge risk, researchers from Penn Medicine’s Department of Radiology suggest in a new study published online July 15 in Neurobiology of Aging.

Amyloid plaque that starts to accumulate relatively early in the temporal lobe, compared to other areas and in particular to the frontal lobe, was associated with cognitively declining participants, the study found. “Knowing that certain brain abnormality patterns are associated with cognitive performance could have pivotal importance for the early detection and management of Alzheimer’s,” said senior author Christos Davatzikos, PhD, professor in the Department of Radiology, the Center for Biomedical Image Computing and Analytics, at the Perelman School of Medicine at the University of Pennsylvania.

Today, memory decline and Alzheimer’s—which 5.4 million Americans live with today—is often assessed with a variety of tools, including physical and bio fluid tests and neuroimaging of total amyloid plaque in the brain. Past studies have linked higher amounts of the plaque in dementia-free people with greater risk for developing the disorder. However, it’s more recently been shown that nearly a third of people with plaque on their brains never showed signs of cognitive decline, raising questions about its specific role in the disease.

Now, Dr. Davatzikos and his Penn colleagues, in collaboration with a team led by Susan M. Resnick, PhD, Chief, Laboratory of Behavioral Neuroscience at the National Institute on Aging (NIA), used Pittsburgh compound B (PiB) brain scans from the Baltimore Longitudinal Study of Aging’s Imaging Study and discovered a stronger association between memory decline and spatial patterns of amyloid plaque progression than the total amyloid burden.

“It appears to be more about the spatial pattern of this plaque progression, and not so much about the total amount found in brains. We saw a difference in the spatial distribution of plaques among cognitive declining and stable patients whose cognitive function had been measured over a 12-year period. They had similar amounts of amyloid plaque, just in different spots,” Dr. Davatzikos said. “This is important because it potentially answers questions about the variability seen in clinical research among patients presenting plaque. It accumulates in different spatial patterns for different patients, and it’s that pattern growth that may determine whether your memory declines.”

The team, including first author Rachel A. Yotter, PhD, a postdoctoral researcher in the Section for Biomedical Image Analysis, retrospectively analyzed the PET PiB scans of 64 patients from the NIA’s Baltimore Longitudinal Study of Aging whose average age was 76 years old. For the study, researchers created a unique picture of patients’ brains by combining and analyzing PET images measuring the density and volume of amyloid plaque and their spatial distribution within the brain. The radiotracer PiB allowed investigators to see amyloid temporal changes in deposition.

Those images were then compared to California Verbal Learning Test (CLVT) scores, among other tests, from the participants to determine the longitudinal cognitive decline. The group was then broken up into two subgroups: the most stable and the most declining individuals (26 participants).

Despite lack of significant difference in the total amount of amyloid in the brain, the spatial patterns between the two groups (stable and declining) were different, with the former showing relatively early accumulation in the frontal lobes and the latter in the temporal lobes.

A particular area of the brain may be affected early or later depending on the amyloid trajectory, according to the authors, which in turn would affect cognitive impairment. Areas affected early with the plaque include the lateral temporal and parietal regions, with sparing of the occipital lobe and motor cortices until later in disease progression.

“This finding has broad implications for our understanding of the relationship between cognitive decline and resistance and amyloid plaque location, as well as the use of amyloid imaging as a biomarker in research and the clinic,” said Dr Davatzikos. “The next step is to investigate more individuals with mild cognitive impairment, and to further investigate the follow-up scans of these individuals via the BLSA study, which might shed further light on its relevance for early detection of Alzheimer’s.”

Study: Memory decline shows stronger associations with estimated spatial patterns of amyloid deposition progression than total amyloid burden

Source: EurekAlert!