{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T11:17:06Z","timestamp":1774437426486,"version":"3.50.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T00:00:00Z","timestamp":1563148800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T00:00:00Z","timestamp":1563148800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mol Imaging Biol"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s11307-019-01406-6","type":"journal-article","created":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T16:03:11Z","timestamp":1563206591000},"page":"703-710","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["[123I]Metaiodobenzylguanidine (MIBG) Cardiac Scintigraphy and Automated Classification Techniques in Parkinsonian Disorders"],"prefix":"10.1007","volume":"22","author":[{"given":"Susanna","family":"Nuvoli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angela","family":"Spanu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario Luca","family":"Fravolini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Bianconi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silvia","family":"Cascianelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuseppe","family":"Madeddu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Palumbo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,7,15]]},"reference":[{"key":"1406_CR1","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1111\/ene.12022","volume":"20","author":"A Berardelli","year":"2013","unstructured":"Berardelli A, Wenning GK, Antonini A, Berg D, Bloem BR, Bonifati V, Brooks D, Burn DJ, Colosimo C, Fanciulli A, Ferreira J, Gasser T, Grandas F, Kanovsky P, Kostic V, Kulisevsky J, Oertel W, Poewe W, Reese JP, Relja M, Ruzicka E, Schrag A, Seppi K, Taba P, Vidailhet M (2013) EFNS\/MDS-ES recommendations for the diagnosis of Parkinson\u2019s disease. Eur J Neurol 20:16\u201334","journal-title":"Eur J Neurol"},{"issue":"10","key":"1406_CR2","doi-asserted-by":"crossref","first-page":"1601","DOI":"10.1002\/mds.27362","volume":"33","author":"RB Postuma","year":"2018","unstructured":"Postuma RB, Poewe W, Litvan I, Lewis S, Lang AE, Halliday G, Goetz CG, Chan P, Slow E, Seppi K, Schaffer E, Rios-Romenets S, Mi T, Maetzler C, Li Y, Heim B, Bledsoe IO, Berg D (2018) Validation of the MDS clinical diagnostic criteria for Parkinson\u2019s disease. Mov Disord 33(10):1601\u20131608","journal-title":"Mov Disord"},{"key":"1406_CR3","doi-asserted-by":"publisher","first-page":"2120","DOI":"10.1007\/s00415-018-8969-6","volume":"265","author":"E Hustad","year":"2018","unstructured":"Hustad E, Skogholt AH, Hveem K, Aasly JO (2018) The accuracy of the clinical diagnosis of Parkinson disease. The HUNT study. J Neurol 265:2120\u20132124. \nhttps:\/\/doi.org\/10.1007\/s00415-018-8969-6","journal-title":"J Neurol"},{"key":"1406_CR4","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1212\/WNL.0000000000002350","volume":"86","author":"G Rizzo","year":"2016","unstructured":"Rizzo G, Copetti M, Arcuti S, Martino D, Fontana A, Logroscino G (2016) Accuracy of clinical diagnosis of Parkinson\u2019s disease. A systematic review and meta-analysis. Neurology 86:566\u2013576","journal-title":"Neurology"},{"key":"1406_CR5","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1212\/WNL.0000000000000641","volume":"83","author":"CH Adler","year":"2014","unstructured":"Adler CH, Beach TG, Hentz JG, Shill HA, Caviness JN, Driver-Dunckley E, Sabbagh MN, Sue LI, Jacobson SA, Belden CM, Dugger BN (2014) Low clinical diagnostic accuracy of early vs advanced Parkinson disease: clinicopathologic study. Neurology 83:406\u2013412","journal-title":"Neurology"},{"key":"1406_CR6","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1007\/s00259-015-3146-y","volume":"43","author":"S Shimizu","year":"2016","unstructured":"Shimizu S, Hirao K, Kanetaka H, Namioka N, Hatanaka H, Hirose D, Fukasawa R, Umahara T, Sakurai H, Hanyu H (2016) Utility of the combination of DAT SPECT and MIBG myocardial scintigraphy in differentiating dementia with Lewy bodies from Alzheimer\u2019s disease. Eur J Nucl Med Mol Imaging 43:184\u2013192","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"Suppl","key":"1406_CR7","first-page":"S94","volume":"16","author":"R Pahwa","year":"2010","unstructured":"Pahwa R, Lyons KE (2010) Early diagnosis of Parkinson\u2019s disease: recommendations from diagnostic clinical guidelines. Am J Manag Care 16(Suppl):S94\u2013S99","journal-title":"Am J Manag Care"},{"key":"1406_CR8","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/S1474-4422(12)70327-7","volume":"12","author":"GK Wenning","year":"2013","unstructured":"Wenning GK, Geser F, Krismer F, Seppi K, Duerr S, Boesch S, K\u00f6llensperger M, Goebel G, Pfeiffer KP, Barone P, Pellecchia MT, Quinn NP, Koukouni V, Fowler CJ, Schrag A, Mathias CJ, Giladi N, Gurevich T, Dupont E, Ostergaard K, Nilsson CF, Widner H, Oertel W, Eggert KM, Albanese A, del Sorbo F, Tolosa E, Cardozo A, Deuschl G, Hellriegel H, Klockgether T, Dodel R, Sampaio C, Coelho M, Djaldetti R, Melamed E, Gasser T, Kamm C, Meco G, Colosimo C, Rascol O, Meissner WG, Tison F, Poewe W (2013) European multiple system atrophy study group. The natural history of multiple system atrophy: a prospective European cohort study. Lancet Neurol 12:264\u2013274","journal-title":"Lancet Neurol"},{"key":"1406_CR9","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1038\/nrneurol.2015.86","volume":"11","author":"S Wijemanne","year":"2015","unstructured":"Wijemanne S, Jankovic J (2015) Dopa-responsive dystonia: clinical and genetic heterogeneity. Nat Rev Neurol 11:414\u2013424","journal-title":"Nat Rev Neurol"},{"key":"1406_CR10","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/S1474-4422(12)70064-9","volume":"11","author":"WR Galpern","year":"2012","unstructured":"Galpern WR, Corrigan-Curay J, Lang AE (2012) Sham neurosurgical procedures in clinical trials for neurodegenerative diseases: scientific and ethical considerations. Lancet Neurol 11:643\u2013650","journal-title":"Lancet Neurol"},{"key":"1406_CR11","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1038\/nrn3976","volume":"16","author":"TD Wager","year":"2015","unstructured":"Wager TD, Atlas LY (2015) The neuroscience of placebo effects: connecting context, learning and health. Nat Rev Neurosci 16:403\u2013418","journal-title":"Nat Rev Neurosci"},{"key":"1406_CR12","doi-asserted-by":"crossref","first-page":"896","DOI":"10.1016\/S0140-6736(14)61393-3","volume":"386","author":"LV Kalia","year":"2015","unstructured":"Kalia LV, Lang AE (2015) Parkinson\u2019s disease. Lancet 386:896\u2013912","journal-title":"Lancet"},{"key":"1406_CR13","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1111\/j.1600-0404.2011.01583.x","volume":"126","author":"D Contrafatto","year":"2012","unstructured":"Contrafatto D, Mostile G, Nicoletti A, Dibilio V, Raciti L, Lanzafame S, Luca A, Distefano A, Zappia M (2012) [123I]FP-CIT-SPECT asymmetry index to differentiate Parkinson\u2019s disease from vascular parkinsonism. Acta Neurol Scand 126:12\u201316","journal-title":"Acta Neurol Scand"},{"key":"1406_CR14","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1136\/jnnp.2008.157370","volume":"81","author":"G Kagi","year":"2010","unstructured":"Kagi G, Bhatia KP, Tolosa E (2010) The role of DAT-SPECT in movement disorders. J Neurol Neurosurg Psychiatry 81:5\u201312","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"1406_CR15","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.nic.2009.08.006","volume":"20","author":"JC Zijlmans","year":"2010","unstructured":"Zijlmans JC (2010) The role of imaging in the diagnosis of vascular parkinsonism. Neuroimaging Clin N Am 20:69\u201376","journal-title":"Neuroimaging Clin N Am"},{"key":"1406_CR16","doi-asserted-by":"crossref","first-page":"2146","DOI":"10.1007\/s00259-010-1481-6","volume":"37","author":"B Palumbo","year":"2010","unstructured":"Palumbo B, Fravolini ML, Nuvoli S, Spanu A, Paulus KS, Schillaci O, Madeddu G (2010) Comparison of two neural network classifiers in the differential diagnosis of essential tremor and Parkinson\u2019s disease by 123I-FP-CIT brain SPECT. Eur J Nucl Med Mol Imaging 37:2146\u20132153","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"1406_CR17","doi-asserted-by":"crossref","first-page":"2346","DOI":"10.1002\/mds.21710","volume":"22","author":"E Tolosa","year":"2007","unstructured":"Tolosa E, Borght TV, Moreno E (2007) Accuracy of DaTSCAN (123IIoflupane) SPECT in diagnosis of patients with clinically uncertain parkinsonism: 2-year follow-up of an open-label study. Mov Disord 22:2346\u20132351","journal-title":"Mov Disord"},{"key":"1406_CR18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13550-015-0087-1","volume":"5","author":"SR Suwijn","year":"2015","unstructured":"Suwijn SR, van Boheemen CJ, de Haan RJ et al (2015) The diagnostic accuracy of dopamine transporter SPECT imaging to detect nigrostriatal cell loss in patients with Parkinson\u2019s disease or clinically uncertain parkinsonism: a systematic review. EJNMMI Res 5:1\u20138","journal-title":"EJNMMI Res"},{"key":"1406_CR19","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1136\/postgradmedj-2011-130051","volume":"87","author":"D Gupta","year":"2011","unstructured":"Gupta D, Kuruvilla A (2011) Vascular parkinsonism: what makes it different? Postgrad Med J 87:829\u2013836","journal-title":"Postgrad Med J"},{"key":"1406_CR20","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1053\/j.semnuclmed.2011.05.003","volume":"41","author":"S Vallabhajosula","year":"2011","unstructured":"Vallabhajosula S, Nikolopoulou A (2011) Radioiodinated metaiodobenzylguanidine (MIBG): radiochemistry, biology, and pharmacology. Semin Nucl Med 41:324\u2013333","journal-title":"Semin Nucl Med"},{"key":"1406_CR21","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1007\/s00259-006-0359-0","volume":"34","author":"S Yamashina","year":"2007","unstructured":"Yamashina S, Yamazaki J (2007) Neuronal imaging using SPECT. Eur J Nucl Med Mol Imaging 34:939\u2013950","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"1406_CR22","doi-asserted-by":"crossref","first-page":"e6967","DOI":"10.1097\/MD.0000000000006967","volume":"96","author":"S Nuvoli","year":"2017","unstructured":"Nuvoli S, Spanu A, Piras MR, Nieddu A, Mulas A, Rocchitta G, Galleri G, Serra PA, Madeddu G (2017) 123I-ioflupane brain SPECT and 123I-MIBG cardiac planar scintigraphy combined use in uncertain parkinsonian disorders. Medicine (Baltimore) 96:e6967","journal-title":"Medicine (Baltimore)"},{"key":"1406_CR23","doi-asserted-by":"crossref","first-page":"1802","DOI":"10.1007\/s00259-010-1491-4","volume":"37","author":"A Flotats","year":"2010","unstructured":"Flotats A, Carri\u00f3 I, Agostini D, le Guludec D, Marcassa C, Sch\u00e4fers M, Somsen GA, Unlu M, Verberne HJ, EANM Cardiovascular Committee, European Council of Nuclear Cardiology (2010) EANM Cardiovascular Committee; European Council of Nuclear Cardiology. Proposal for standardization of 123I-metaiodobenzylguanidine (MIBG) cardiac sympathetic imaging by the EANM Cardiovascular Committee and the European Council of Nuclear Cardiology. Eur J Nucl Med Mol Imaging 37:1802\u20131812","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"1406_CR24","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1016\/j.repc.2012.11.003","volume":"32","author":"MI Martins da Silva","year":"2013","unstructured":"Martins da Silva MI, Vidigal Ferreira MJ, Mor\u00e3o Moreirac AP (2013) Iodine-123-metaiodobenzylguanidine scintigraphy in risk stratification of sudden death in heart failure. Rev Port Cardiol 32:509\u2013516","journal-title":"Rev Port Cardiol"},{"key":"1406_CR25","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1093\/eurheartj\/ehn113","volume":"29","author":"HJ Verberne","year":"2008","unstructured":"Verberne HJ, Brewster LM, Somsen GA, van Eck-Smit BLF (2008) Prognostic value of myocardial 123Imetaiodobenzylguanidine (MIBG) parameters in patients with heart failure: a systematic review. Eur Heart J 29:1147\u20131159","journal-title":"Eur Heart J"},{"key":"1406_CR26","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1007\/s00702-011-0598-5","volume":"118","author":"H Oka","year":"2011","unstructured":"Oka H, Toyoda C, Yogo M, Mochio S (2011) Reduced cardiac 123I-MIBG uptake reflects cardiac sympathetic dysfunction in de novo Parkinson\u2019s disease. J Neural Transm 118:1323\u20131327","journal-title":"J Neural Transm"},{"key":"1406_CR27","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/j.parkreldis.2012.01.009","volume":"18","author":"S Orimo","year":"2012","unstructured":"Orimo S, Suzuki M, Inaba A, Mizusawa H (2012) 123I-MIBG myocardial scintigraphy for differentiating Parkinson\u2019s disease from other neurodegenerative parkinsonism: a systematic review and meta-analysis. Parkinsonism Relat Disord 18:494\u2013500","journal-title":"Parkinsonism Relat Disord"},{"key":"1406_CR28","doi-asserted-by":"crossref","first-page":"51","DOI":"10.3988\/jcn.2006.2.1.51","volume":"2","author":"DH Shin","year":"2006","unstructured":"Shin DH, Lee PH, Bang OY, Joo IS, Huh K (2006) Clinical implications of cardiac-MIBG SPECT in the differentiation of parkinsonian syndromes. J Clin Neurol 2:51\u201357","journal-title":"J Clin Neurol"},{"key":"1406_CR29","doi-asserted-by":"crossref","first-page":"1990","DOI":"10.1002\/mds.21112","volume":"21","author":"JS Kim","year":"2006","unstructured":"Kim JS, Lee PH, Lee KS, Park JW, Kim YI, Chung YA, Kim SH, Kim SH, Kim J, Choi YY, Kim HT (2006) Cardiac [123I]metaiodobenzylguanidine scintigraphy for vascular parkinsonism. Mov Disord 21:1990\u20131994","journal-title":"Mov Disord"},{"key":"1406_CR30","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1002\/mds.22937","volume":"25","author":"S Kalra","year":"2010","unstructured":"Kalra S, Grosset DG, Benamer HTS (2010) Differentiating vascular parkinsonism from idiopathic Parkinson\u2019s disease: a systematic review. Mov Disord 25:149\u2013156","journal-title":"Mov Disord"},{"key":"1406_CR31","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1093\/sleep\/31.5.717","volume":"31","author":"T Miyamoto","year":"2008","unstructured":"Miyamoto T, Miyamoto M, Suzuki K, Nishibayashi M, Iwanami M, Hirata K (2008) 123I-MIBG cardiac scintigraphy provides clues to the underlying neurodegenerative disorder in idiopathic REM sleep behavior disorder. Sleep 31:717\u2013723","journal-title":"Sleep"},{"key":"1406_CR32","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.parkreldis.2019.01.024","volume":"26","author":"JPM Kane","year":"2019","unstructured":"Kane JPM, Roberts G, Petrides GS, Lloyd JJ, O\u2019Brien JT, Thomas AJ (2019) 123I-MIBG scintigraphy utility and cut-off value in a clinically representative dementia cohort. Parkinsonism Relat Disord 26:79\u201384. \nhttps:\/\/doi.org\/10.1016\/j.parkreldis.2019.01.024","journal-title":"Parkinsonism Relat Disord"},{"issue":"Suppl 3","key":"1406_CR33","first-page":"2","volume":"13","author":"G Deuschl","year":"1998","unstructured":"Deuschl G, Bain P, Brin M (1998) Consensus statement of the Movement Disorder Society on tremor. Ad hoc Scientific Committee. Mov Disord 13(Suppl 3):2\u201323","journal-title":"Mov Disord"},{"key":"1406_CR34","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1212\/WNL.17.5.427","volume":"17","author":"M Hoehn","year":"1967","unstructured":"Hoehn M, Yahr MD (1967) Parkinsonism: onset, progression, and mortality. Neurology 17:427\u2013442","journal-title":"Neurology"},{"key":"1406_CR35","first-page":"71","volume":"41","author":"H Takatsu","year":"2000","unstructured":"Takatsu H, Nishida H, Matsuo H et al (2000) Cardiac sympathetic denervation from the early stage of Parkinson\u2019s disease: clinical and experimental studies with radiolabeled MIBG. J Nucl Med 41:71\u201377","journal-title":"J Nucl Med"},{"key":"1406_CR36","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2:27 Software available at \nhttp:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm","journal-title":"ACM Trans Intell Syst Technol"},{"key":"1406_CR37","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20:273\u2013297","journal-title":"Mach Learn"},{"key":"1406_CR38","doi-asserted-by":"crossref","first-page":"1926","DOI":"10.1109\/18.705570","volume":"44","author":"J Shawe-Taylor","year":"1998","unstructured":"Shawe-Taylor J, Bartlett PL (1998) Structural risk minimization over data-dependent hierarchies. IEEE Trans Inf Theory 44:1926\u20131940","journal-title":"IEEE Trans Inf Theory"},{"key":"1406_CR39","volume-title":"The elements of statistical learning, springer series in statistics","author":"T Hastie","year":"2009","unstructured":"Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning, springer series in statistics. Springer New York Inc., New York"},{"issue":"2-3","key":"1406_CR40","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1561\/0600000035","volume":"7","author":"Antonio Criminisi","year":"2011","unstructured":"Criminisi A, Shotton J, Konukoglu E (2012) Decision forests: a unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning. Foundations and Trends in Computer Graphics and Vision 7:81\u2013227","journal-title":"Foundations and Trends\u00ae in Computer Graphics and Vision"},{"key":"1406_CR41","first-page":"60","volume":"21","author":"S Nuvoli","year":"2018","unstructured":"Nuvoli S, Palumbo B, Malaspina S, Madeddu G, Spanu A (2018) 123I-ioflupane SPET and 123I-MIBG in the diagnosis of Parkinson\u2019s disease and parkinsonian disorders and in the differential diagnosis between Alzheimer\u2019s and Lewy\u2019s bodies dementias. Hell J Nucl Med 21:60\u201368","journal-title":"Hell J Nucl Med"},{"key":"1406_CR42","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1162\/neco.1997.9.7.1545","volume":"9","author":"Y Amit","year":"1997","unstructured":"Amit Y, Geman D (1997) Shape quantization and recognition with randomized trees. Neural Comput 9:1545\u20131588","journal-title":"Neural Comput"},{"key":"1406_CR43","unstructured":"Breiman L, Friedman JH, Olshen RA et al (1984) Classification and regression trees. Chapman and Hall\/CRC"},{"key":"1406_CR44","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45:5\u201332","journal-title":"Mach Learn"},{"key":"1406_CR45","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s11910-018-0889-4","volume":"18","author":"K Knudsen","year":"2018","unstructured":"Knudsen K, Borghammer P (2018) Imaging the autonomic nervous system in Parkinson\u2019s disease. Curr Neurol Neurosci Rep 18:79","journal-title":"Curr Neurol Neurosci Rep"},{"key":"1406_CR46","doi-asserted-by":"crossref","first-page":"983","DOI":"10.1097\/MNM.0000000000000898","volume":"39","author":"Y Okada","year":"2018","unstructured":"Okada Y, Shiraishi M, Nakamura H, Maki F, Sasaki N, Hasegawa Y, Sasaki O, Nakashima Y (2018) Usefulness of the combination of iodine-123-metaiodobenzylguanidine scintigraphy and iodine-123-ioflupane scintigraphy in new-onset Parkinson\u2019s disease. Nucl Med Commun 39:983\u2013988","journal-title":"Nucl Med Commun"},{"key":"1406_CR47","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/S0022-510X(97)00278-5","volume":"155","author":"M Yoshita","year":"1998","unstructured":"Yoshita M (1998) Differentiation of idiopathic Parkinson\u2019s disease from striatonigral degeneration and progressive supranuclear palsy using iodine-123 meta-iodobenzylguanidine myocardial scintigraphy. J Neurol Sci 155:60\u201367","journal-title":"J Neurol Sci"},{"key":"1406_CR48","doi-asserted-by":"crossref","first-page":"733","DOI":"10.2967\/jnumed.110.086959","volume":"52","author":"M S\u00fcdmeyer","year":"2011","unstructured":"S\u00fcdmeyer M, Antke C, Zizek T et al (2011) Diagnostic accuracy of combined FP-CIT, IBZM, and MIBG scintigraphy in the differential diagnosis of degenerative parkinsonism: a multidimensional statistical approach. J Nucl Med 52:733\u2013740","journal-title":"J Nucl Med"},{"key":"1406_CR49","doi-asserted-by":"crossref","first-page":"20160144","DOI":"10.1259\/bjr.20160144","volume":"10","author":"F Sakamoto","year":"2016","unstructured":"Sakamoto F, Shiraishi S, Tsuda N et al (2016) 123I-MIBG myocardial scintigraphy for the evaluation of Lewy body disease: are delayed images essential? Is visual assessment useful? Br J Radiol 10:20160144","journal-title":"Br J Radiol"},{"key":"1406_CR50","first-page":"2155","volume":"38","author":"F Bianconi","year":"2018","unstructured":"Bianconi F, Fravolini ML, Bello-Cerezo R, Minestrini M, Scialpi M, Palumbo B (2018) Evaluation of shape and textural features from CT as prognostic biomarkers in non-small cell lung cancer. Anticancer Res 38:2155\u20132160","journal-title":"Anticancer Res"},{"key":"1406_CR51","doi-asserted-by":"publisher","first-page":"e228","DOI":"10.1097\/MD.0000000000000228","volume":"93","author":"B Palumbo","year":"2014","unstructured":"Palumbo B, Fravolini ML, Buresta T, Pompili F, Forini N, Nigro P, Calabresi P, Tambasco N (2014) Diagnostic accuracy of Parkinson disease by support vector machine (SVM) analysis of 123I-FP-CIT brain SPECT data: implications of putaminal findings and age. Medicine (Baltimore) 93:e228. \nhttps:\/\/doi.org\/10.1097\/MD.0000000000000228","journal-title":"Medicine (Baltimore)"},{"key":"1406_CR52","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1097\/MNM.0b013e328347cd09","volume":"32","author":"DJ Towey","year":"2011","unstructured":"Towey DJ, Bain PG, Nijran KS (2011) Automatic classification of 123I-FP-CIT (DaTSCAN) SPECT images. Nucl Med Commun 32:699\u2013707","journal-title":"Nucl Med Commun"},{"key":"1406_CR53","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1186\/s40658-017-0196-1","volume":"4","author":"JC Taylor","year":"2017","unstructured":"Taylor JC, Fenner JW (2017) Comparison of machine learning and semi-quantification algorithms for (I123)FP-CIT classification: the beginning of the end for semi-quantification? EJNMMI Phys 4:29. \nhttps:\/\/doi.org\/10.1186\/s40658-017-0196-1","journal-title":"EJNMMI Phys"},{"key":"1406_CR54","doi-asserted-by":"publisher","first-page":"53","DOI":"10.3389\/fninf.2018.00053","volume":"12","author":"D Castillo-Barnes","year":"2018","unstructured":"Castillo-Barnes D, Ram\u00edrez J, Segovia F et al (2018) Robust ensemble classification methodology for I123-Ioflupane SPECT images and multiple heterogeneous biomarkers in the diagnosis of Parkinson's disease. Front Neuroinform 12:53. \nhttps:\/\/doi.org\/10.3389\/fninf.2018.00053\n\n eCollection 2018","journal-title":"Front Neuroinform"},{"key":"1406_CR55","doi-asserted-by":"crossref","first-page":"3320","DOI":"10.1172\/JCI45803","volume":"121","author":"DS Goldstein","year":"2011","unstructured":"Goldstein DS, Holmes C, Kopin IJ, Sharabi Y (2011) Intra-neuronal vesicular uptake of catecholamines is decreased in patients with Lewy body diseases. J Clin Invest 121:3320\u20133330","journal-title":"J Clin Invest"},{"key":"1406_CR56","doi-asserted-by":"crossref","first-page":"198","DOI":"10.2174\/1567205013666160620122926","volume":"14","author":"S Cascianelli","year":"2017","unstructured":"Cascianelli S, Scialpi M, Amici S, Forini N, Minestrini M, Fravolini M, Sinzinger H, Schillaci O, Palumbo B (2017) Role of artificial intelligence techniques (automatic classifiers) in molecular imaging modalities in neurodegenerative diseases. Curr Alzheimer Res 14:198\u2013207","journal-title":"Curr Alzheimer Res"},{"key":"1406_CR57","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.neuroimage.2012.09.065","volume":"65","author":"KR Gray","year":"2013","unstructured":"Gray KR, Aljabar P, Heckemann RA, Hammers A, Rueckert D, Alzheimer\u2019s Disease Neuroimaging Initiative (2013) Alzheimer\u2019s disease neuroimaging initiative. Random forest-based similarity measures for multi-modal classification of Alzheimer\u2019s disease. Neuroimage 65:167\u2013175","journal-title":"Neuroimage"},{"key":"1406_CR58","doi-asserted-by":"publisher","first-page":"326","DOI":"10.3389\/fnagi.2017.00326","volume":"9","author":"F Segovia","year":"2017","unstructured":"Segovia F, G\u00f3rriz JM, Ram\u00edrez J et al (2017) Preprocessing of 18F-DMFP-PET data based on hidden Markov random fields and the Gaussian distribution. Front Aging Neurosci 9:326. \nhttps:\/\/doi.org\/10.3389\/fnagi.2017.00326\n\n eCollection 2017","journal-title":"Front Aging Neurosci"},{"key":"1406_CR59","doi-asserted-by":"publisher","first-page":"137","DOI":"10.3389\/fncom.2015.00137","volume":"9","author":"F Segovia","year":"2015","unstructured":"Segovia F, Ill\u00e1n IA, G\u00f3rriz JM et al (2015) Distinguishing Parkinson\u2019s disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks. Front Comput Neurosci 9:137. \nhttps:\/\/doi.org\/10.3389\/fncom.2015.00137\n\n eCollection 2015","journal-title":"Front Comput Neurosci"}],"container-title":["Molecular Imaging and Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11307-019-01406-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11307-019-01406-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11307-019-01406-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,13]],"date-time":"2020-07-13T23:34:33Z","timestamp":1594683273000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11307-019-01406-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,15]]},"references-count":59,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["1406"],"URL":"https:\/\/doi.org\/10.1007\/s11307-019-01406-6","relation":{},"ISSN":["1536-1632","1860-2002"],"issn-type":[{"value":"1536-1632","type":"print"},{"value":"1860-2002","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,15]]},"assertion":[{"value":"15 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='BoldItalic' removed-->Compliance with Ethical Standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}