INTRODUCTION: Today, ligands that bind to fibrillar β-amyloid are detectable by Positron Emission Tomography (PET) allowing for in vivo visualization for Abeta burden. However, amyloid plaques detection per se does not establish Alzheimer's Disease diagnosis. In this sense, the utility of amyloid imaging to improve clinical diagnosis was settled only for specific clinical scenarios and few studies have assessed amyloid molecular neuroimaging in a broader clinical setting. The aim of this study is to determine the frequency of PiB amyloid findings in different diagnostic syndromes grouped into high and low probability pre- test categories, taking into account pre-test clinical assumption of the presence of AD related pathology. METHODS: 144 patients were assigned into categories of high or low pretest probability according to clinical suspicion of AD pathology. The high probability group included: amnestic Mild Cognitive Impairment (MCI), amnestic and other domains MCI, Dementia of Alzheimer's Type (DAT), Posterior Cortical Atrophy (PCA), logopenic Primary Progressive Aphasia (PPA), Cerebral Amyloid Angiopathy and mixed dementia. The low assumption group included: normal controls, non-amnestic MCI, non-logopenic PPA and Frontotemporal Dementia (FTD). RESULTS: Only normal controls and DAT patients (typical and atypical presentation) were the most consistent across clinical and molecular diagnostics. MCI, non-logopenic PPA and FTD were the syndromic diagnoses that most discrepancies were found. DISCUSSION: This study demonstrates that detecting in vivo amyloid plaques by molecular imaging is considerably frequent in most of the dementia syndromes and shows that there are frequent discordance between molecular diagnosis and clinical assumption.
INTRODUCTION: Today, ligands that bind to fibrillar β-amyloid are detectable by Positron Emission Tomography (PET) allowing for in vivo visualization for Abeta burden. However, amyloid plaques detection per se does not establish Alzheimer's Disease diagnosis. In this sense, the utility of amyloid imaging to improve clinical diagnosis was settled only for specific clinical scenarios and few studies have assessed amyloid molecular neuroimaging in a broader clinical setting. The aim of this study is to determine the frequency of PiB amyloid findings in different diagnostic syndromes grouped into high and low probability pre- test categories, taking into account pre-test clinical assumption of the presence of AD related pathology. METHODS: 144 patients were assigned into categories of high or low pretest probability according to clinical suspicion of AD pathology. The high probability group included: amnestic Mild Cognitive Impairment (MCI), amnestic and other domains MCI, Dementia of Alzheimer's Type (DAT), Posterior Cortical Atrophy (PCA), logopenic Primary Progressive Aphasia (PPA), Cerebral Amyloid Angiopathy and mixed dementia. The low assumption group included: normal controls, non-amnestic MCI, non-logopenic PPA and Frontotemporal Dementia (FTD). RESULTS: Only normal controls and DAT patients (typical and atypical presentation) were the most consistent across clinical and molecular diagnostics. MCI, non-logopenic PPA and FTD were the syndromic diagnoses that most discrepancies were found. DISCUSSION: This study demonstrates that detecting in vivo amyloid plaques by molecular imaging is considerably frequent in most of the dementia syndromes and shows that there are frequent discordance between molecular diagnosis and clinical assumption.
Authors: Alberto Villarejo-Galende; Sara Llamas-Velasco; Adolfo Gómez-Grande; Verónica Puertas-Martín; Israel Contador; Pilar Sarandeses; Marta González-Sánchez; Rocío Trincado; Patrick Pilkington; Sebastián Ruiz-Solis; David A Pérez-Martínez; Alejandro Herrero-San Martín Journal: J Neurol Date: 2016-11-04 Impact factor: 4.849
Authors: David Bergeron; Maria L Gorno-Tempini; Gil D Rabinovici; Miguel A Santos-Santos; William Seeley; Bruce L Miller; Yolande Pijnenburg; M Antoinette Keulen; Colin Groot; Bart N M van Berckel; Wiesje M van der Flier; Philip Scheltens; Jonathan D Rohrer; Jason D Warren; Jonathan M Schott; Nick C Fox; Raquel Sanchez-Valle; Oriol Grau-Rivera; Ellen Gelpi; Harro Seelaar; Janne M Papma; John C van Swieten; John R Hodges; Cristian E Leyton; Olivier Piguet; Emily J Rogalski; Marsel M Mesulam; Lejla Koric; Kristensen Nora; Jeéreémie Pariente; Bradford Dickerson; Ian R Mackenzie; Ging-Yuek R Hsiung; Serge Belliard; David J Irwin; David A Wolk; Murray Grossman; Matthew Jones; Jennifer Harris; David Mann; Julie S Snowden; Patricio Chrem-Mendez; Ismael L Calandri; Alejandra A Amengual; Carole Miguet-Alfonsi; Eloi Magnin; Giuseppe Magnani; Roberto Santangelo; Vincent Deramecourt; Florence Pasquier; Niklas Mattsson; Christer Nilsson; Oskar Hansson; Julia Keith; Mario Masellis; Sandra E Black; Jordi A Matías-Guiu; María-Nieves Cabrera-Martin; Claire Paquet; Julien Dumurgier; Marc Teichmann; Marie Sarazin; Michel Bottlaender; Bruno Dubois; Christopher C Rowe; Victor L Villemagne; Rik Vandenberghe; Elias Granadillo; Edmond Teng; Mario Mendez; Philipp T Meyer; Lars Frings; Alberto Lleó; Rafael Blesa; Juan Fortea; Sang Won Seo; Janine Diehl-Schmid; Timo Grimmer; Kristian Steen Frederiksen; Pascual Sánchez-Juan; Gaël Chételat; Willemijn Jansen; Rémi W Bouchard; Robert Jr Laforce; Pieter Jelle Visser; Rik Ossenkoppele Journal: Ann Neurol Date: 2018-11 Impact factor: 10.422
Authors: Christopher J Weber; Maria C Carrillo; William Jagust; Clifford R Jack; Leslie M Shaw; John Q Trojanowski; Andrew J Saykin; Laurel A Beckett; Cyrille Sur; Naren P Rao; Patricio Chrem Mendez; Sandra E Black; Kuncheng Li; Takeshi Iwatsubo; Chiung-Chih Chang; Ana Luisa Sosa; Christopher C Rowe; Richard J Perrin; John C Morris; Amanda M B Healan; Stephen E Hall; Michael W Weiner Journal: Alzheimers Dement (N Y) Date: 2021-12-31