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Journal Abstract Search
720 related items for PubMed ID: 22833860
1. Dopamine transporter imaging (123)I-FP-CIT (DaTSCAN) SPET in differential diagnosis of dopa-responsive dystonia and young-onset Parkinson's disease. Brajkovic LD, Svetel MV, Kostic VS, Sobic-Saranovic DP, Pavlovic SV, Artiko VM, Obradovic VB. Hell J Nucl Med; 2012; 15(2):134-8. PubMed ID: 22833860 [Abstract] [Full Text] [Related]
2. Dopamine transporter density measured by [123I]beta-CIT single-photon emission computed tomography is normal in dopa-responsive dystonia. Jeon BS, Jeong JM, Park SS, Kim JM, Chang YS, Song HC, Kim KM, Yoon KY, Lee MC, Lee SB. Ann Neurol; 1998 Jun; 43(6):792-800. PubMed ID: 9629849 [Abstract] [Full Text] [Related]
3. The clinical benefit of imaging striatal dopamine transporters with [123I]FP-CIT SPET in differentiating patients with presynaptic parkinsonism from those with other forms of parkinsonism. Booij J, Speelman JD, Horstink MW, Wolters EC. Eur J Nucl Med; 2001 Mar; 28(3):266-72. PubMed ID: 11315592 [Abstract] [Full Text] [Related]
5. Serial dopamine transporter imaging of nigrostriatal function in patients with idiopathic rapid-eye-movement sleep behaviour disorder: a prospective study. Iranzo A, Valldeoriola F, Lomeña F, Molinuevo JL, Serradell M, Salamero M, Cot A, Ros D, Pavía J, Santamaria J, Tolosa E. Lancet Neurol; 2011 Sep; 10(9):797-805. PubMed ID: 21802993 [Abstract] [Full Text] [Related]
16. Long-term treatment response and fluorodopa positron emission tomographic scanning of parkinsonism in a family with dopa-responsive dystonia. Nygaard TG, Takahashi H, Heiman GA, Snow BJ, Fahn S, Calne DB. Ann Neurol; 1992 Nov; 32(5):603-8. PubMed ID: 1449240 [Abstract] [Full Text] [Related]
17. In vivo imaging of neuromelanin in Parkinson's disease using 18F-AV-1451 PET. Hansen AK, Knudsen K, Lillethorup TP, Landau AM, Parbo P, Fedorova T, Audrain H, Bender D, Østergaard K, Brooks DJ, Borghammer P. Brain; 2016 Jul; 139(Pt 7):2039-49. PubMed ID: 27190023 [Abstract] [Full Text] [Related]
18. Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using 123I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT). Cascianelli S, Tranfaglia C, Fravolini ML, Bianconi F, Minestrini M, Nuvoli S, Tambasco N, Dottorini ME, Palumbo B. Hell J Nucl Med; 2017 Jul; 20 Suppl():165. PubMed ID: 29324935 [Abstract] [Full Text] [Related]