A clinical decision model which uses MR spectroscopy to help physicians differentiate between recurrent tumors and changes in the brain tissue due to radiation treatments, may help patients avoid invasive procedures and treatments, according to a study performed at the University of Michigan Health System in Ann Arbor, MI.
The study included 33 patients who had undergone radiation treatment for brain tumors and had MRI examinations that showed new lesions (either a recurrent tumor or radiation changes). Patients then underwent MR spectroscopy and ratios of three metabolites, choline (Cho), creatine (Cr) and n-acetylaspartate (NAA) were calculated. An ROC curve and prediction model was then created, which determined the post-test probability of a patient having a recurrent tumor. For the study, the final number of patients with recurrent tumors was 20 and those with post-radiation change were 13.
source: ARRS
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