Researchers used the MRIs to predict the ratio of two biomarkers for
the diseases – the proteins total tau and beta-amyloid – in the
cerebrospinal fluid. Cerebrospinal fluid analyses remain the most
accurate method for predicting the disease cause, but requires a more
invasive lumbar puncture. “Using this novel method, we obtain a single
biologically meaningful value from analyzing MRI data in this manner and
then we can derive a probabilistic estimate of the likelihood of
Alzheimer’s or FTLD,” said the study’s lead author, Corey McMillan, PhD,
of the Perelman School of Medicine and Frontotemporal Degeneration
Center at the University of Pennsylvania.
Using the MRI prediction method was 75 percent accurate at identifying the correct diagnosis in both patients with pre-confirmed disease diagnoses and those with biomarker levels confirmed by lumbar punctures, which shows comparable overlap between accuracy of the MRI and lumbar puncture methods. “For those remaining 25 percent of cases that are borderline, a lumbar puncture testing spinal fluid may provide a more accurate estimate of the pathological diagnosis.”
Source:http://westmorelandtimes.com/news/2012/12/mri-can-screen-patients-for-alzheimers-disease-using-penn-designed-model-31121201112402016401/
Using the MRI prediction method was 75 percent accurate at identifying the correct diagnosis in both patients with pre-confirmed disease diagnoses and those with biomarker levels confirmed by lumbar punctures, which shows comparable overlap between accuracy of the MRI and lumbar puncture methods. “For those remaining 25 percent of cases that are borderline, a lumbar puncture testing spinal fluid may provide a more accurate estimate of the pathological diagnosis.”
Source:http://westmorelandtimes.com/news/2012/12/mri-can-screen-patients-for-alzheimers-disease-using-penn-designed-model-31121201112402016401/
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