The classification system may help in selecting treatment for early-stage patients and identifying participants for clinical trials.
A new classification algorithm involving metabolic brain imaging and pattern analysis can differentiate between various early-stage parkinsonian disorders very accurately, according to the results of a study published in the February Lancet Neurology.
Chris C. Tang, MD, PhD, of the Feinstein Institute for Medical Research, Manhasset, New York, and colleagues sought to improve the early diagnosis of different parkinsonian disorders—and, thus, the prognoses, treatments, and drug trials for such disorders.
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