Andreas Charidimou1, Gregoire Boulouis2, Matthew P Frosch3, Jean-Claude Baron4, Marco Pasi5, Jean Francois Albucher6, Gargi Banerjee7, Carmen Barbato7, Fabrice Bonneville6, Sebastian Brandner7, Lionel Calviere6, François Caparros8, Barbara Casolla8, Charlotte Cordonnier8, Marie-Bernadette Delisle6, Vincent Deramecourt8, Martin Dichgans9, Elif Gokcal10, Jochen Herms11, Mar Hernandez-Guillamon12, Hans Rolf Jäger7, Zane Jaunmuktane7, Jennifer Linn13, Sergi Martinez-Ramirez14, Elena Martínez-Sáez12, Christian Mawrin15, Joan Montaner16, Solene Moulin8, Jean-Marc Olivot6, Fabrizio Piazza17, Laurent Puy8, Nicolas Raposo6, Mark A Rodrigues18, Sigrun Roeber11, Jose Rafael Romero19, Neshika Samarasekera18, Julie A Schneider20, Stefanie Schreiber15, Frank Schreiber15, Corentin Schwall4, Colin Smith18, Levente Szalardy21, Pascale Varlet4, Alain Viguier6, Joanna M Wardlaw22, Andrew Warren10, Frank A Wollenweber23, Marialuisa Zedde24, Mark A van Buchem25, M Edip Gurol10, Anand Viswanathan10, Rustam Al-Shahi Salman22, Eric E Smith26, David J Werring7, Steven M Greenberg10. 1. Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: andreas.charidimou.09@ucl.ac.uk. 2. Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Groupe Hospitalier Universitaire (GHU) Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM UMR-S1266, Université Paris Cité, Paris, France. 3. C S Kubik Laboratory of Neuropathology, Department of Pathology, Massachusetts General Hospital, Boston, MA, USA. 4. Groupe Hospitalier Universitaire (GHU) Paris Psychiatrie et Neurosciences, Institut de Psychiatrie et Neurosciences de Paris, INSERM UMR-S1266, Université Paris Cité, Paris, France; GHU Psychiatrie et Neurosciences, site Sainte-Anne, Paris, France. 5. Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France. 6. Departments of Neurology, Neuroradiology, and Pathology, Hôpital Pierre-Paul Riquet, CHU Toulouse, Toulouse Neuroimaging Centre, Universite da Toulouse, INSERM UPS, France. 7. Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, UK. 8. Université Lille, INSERM, Centre Hospitalier Universitaire (CHU) Lille, U1172-Lille Neuroscience and Cognition, Lille, France. 9. Institute for Stroke and Dementia Research, Ludwig-Maximilians University Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy) and German Center for Neurodegenerative Diseases, Munich, Germany. 10. Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. 11. Center for Neuropathology and Prion Research, Ludwig-Maximilians University Munich, Munich, Germany. 12. Neurovascular Research Laboratory, Institut de Recerca Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain. 13. Institute for Diagnostic and Interventional Neuroradiology, University Hospital, Dresden, Germany. 14. Hemorrhagic Stroke Research Program, J Philip Kistler Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Framingham Heart Study and Department of Neurology, Boston University School of Medicine, Boston, MA, USA. 15. Departments of Neuropathology, Neurosurgery, and Neurology, Otto-von-Guericke University, Magdeburg, Germany. 16. Neurovascular Research Laboratory, Institut de Recerca Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain; Institute of Biomedicine of Seville, Hospital Universitario Virgen Macarena, Consejo Superior de Investigaciones Científicas, University of Seville, Spain. 17. CAA and AD Translational Research and Biomarkers Laboratory, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy. 18. Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. 19. Framingham Heart Study and Department of Neurology, Boston University School of Medicine, Boston, MA, USA. 20. Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA. 21. Department of Neurology, Faculty of Medicine, Albert Szent-Györgyi Clinical Center, University of Szeged, Szeged, Hungary. 22. Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK. 23. Institute for Stroke and Dementia Research, Ludwig-Maximilians University Munich, Munich, Germany; Helios Dr Horst Schmidt Kliniken, Wiesbaden, Germany. 24. Neurology Unit-Stroke Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy. 25. Department of Radiology, Leiden University Medical Center, Leiden, Netherlands. 26. Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Abstract
BACKGROUND: Cerebral amyloid angiopathy (CAA) is an age-related small vessel disease, characterised pathologically by progressive deposition of amyloid β in the cerebrovascular wall. The Boston criteria are used worldwide for the in-vivo diagnosis of CAA but have not been updated since 2010, before the emergence of additional MRI markers. We report an international collaborative study aiming to update and externally validate the Boston diagnostic criteria across the full spectrum of clinical CAA presentations. METHODS: In this multicentre, hospital-based, retrospective, MRI and neuropathology diagnostic accuracy study, we did a retrospective analysis of clinical, radiological, and histopathological data available to sites participating in the International CAA Association to formulate updated Boston criteria and establish their diagnostic accuracy across different populations and clinical presentations. Ten North American and European academic medical centres identified patients aged 50 years and older with potential CAA-related clinical presentations (ie, spontaneous intracerebral haemorrhage, cognitive impairment, or transient focal neurological episodes), available brain MRI, and histopathological assessment for CAA diagnosis. MRI scans were centrally rated at Massachusetts General Hospital (Boston, MA, USA) for haemorrhagic and non-haemorrhagic CAA markers, and brain tissue samples were rated by neuropathologists at the contributing sites. We derived the Boston criteria version 2.0 (v2.0) by selecting MRI features to optimise diagnostic specificity and sensitivity in a prespecified derivation cohort (Boston cases 1994-2012, n=159), then externally validated the criteria in a prespecified temporal validation cohort (Boston cases 2012-18, n=59) and a geographical validation cohort (non-Boston cases 2004-18; n=123), comparing accuracy of the new criteria to the currently used modified Boston criteria with histopathological assessment of CAA as the diagnostic standard. We also assessed performance of the v2.0 criteria in patients across all cohorts who had the diagnostic gold standard of brain autopsy. FINDINGS: The study protocol was finalised on Jan 15, 2017, patient identification was completed on Dec 31, 2018, and imaging analyses were completed on Sept 30, 2019. Of 401 potentially eligible patients presenting to Massachusetts General Hospital, 218 were eligible to be included in the analysis; of 160 patient datasets from other centres, 123 were included. Using the derivation cohort, we derived provisional criteria for probable CAA requiring the presence of at least two strictly lobar haemorrhagic lesions (ie, intracerebral haemorrhages, cerebral microbleeds, or foci of cortical superficial siderosis) or at least one strictly lobar haemorrhagic lesion and at least one white matter characteristic (ie, severe visible perivascular spaces in centrum semiovale or white matter hyperintensities in a multispot pattern). The sensitivity and specificity of these criteria were 74·8% (95% CI 65·4-82·7) and 84·6% (71·9-93·1) in the derivation cohort, 92·5% (79·6-98·4) and 89·5% (66·9-98·7) in the temporal validation cohort, 80·2% (70·8-87·6) and 81·5% (61·9-93·7) in the geographical validation cohort, and 74·5% (65·4-82·4) and 95·0% (83·1-99·4) in all patients who had autopsy as the diagnostic standard. The area under the receiver operating characteristic curve (AUC) was 0·797 (0·732-0·861) in the derivation cohort, 0·910 (0·828-0·992) in the temporal validation cohort, 0·808 (0·724-0·893) in the geographical validation cohort, and 0·848 (0·794-0·901) in patients who had autopsy as the diagnostic standard. The v2.0 Boston criteria for probable CAA had superior accuracy to the current Boston criteria (sensitivity 64·5% [54·9-73·4]; specificity 95·0% [83·1-99·4]; AUC 0·798 [0·741-0854]; p=0·0005 for comparison of AUC) across all individuals who had autopsy as the diagnostic standard. INTERPRETATION: The Boston criteria v2.0 incorporate emerging MRI markers of CAA to enhance sensitivity without compromising their specificity in our cohorts of patients aged 50 years and older presenting with spontaneous intracerebral haemorrhage, cognitive impairment, or transient focal neurological episodes. Future studies will be needed to determine generalisability of the v.2.0 criteria across the full range of patients and clinical presentations. FUNDING: US National Institutes of Health (R01 AG26484).
BACKGROUND: Cerebral amyloid angiopathy (CAA) is an age-related small vessel disease, characterised pathologically by progressive deposition of amyloid β in the cerebrovascular wall. The Boston criteria are used worldwide for the in-vivo diagnosis of CAA but have not been updated since 2010, before the emergence of additional MRI markers. We report an international collaborative study aiming to update and externally validate the Boston diagnostic criteria across the full spectrum of clinical CAA presentations. METHODS: In this multicentre, hospital-based, retrospective, MRI and neuropathology diagnostic accuracy study, we did a retrospective analysis of clinical, radiological, and histopathological data available to sites participating in the International CAA Association to formulate updated Boston criteria and establish their diagnostic accuracy across different populations and clinical presentations. Ten North American and European academic medical centres identified patients aged 50 years and older with potential CAA-related clinical presentations (ie, spontaneous intracerebral haemorrhage, cognitive impairment, or transient focal neurological episodes), available brain MRI, and histopathological assessment for CAA diagnosis. MRI scans were centrally rated at Massachusetts General Hospital (Boston, MA, USA) for haemorrhagic and non-haemorrhagic CAA markers, and brain tissue samples were rated by neuropathologists at the contributing sites. We derived the Boston criteria version 2.0 (v2.0) by selecting MRI features to optimise diagnostic specificity and sensitivity in a prespecified derivation cohort (Boston cases 1994-2012, n=159), then externally validated the criteria in a prespecified temporal validation cohort (Boston cases 2012-18, n=59) and a geographical validation cohort (non-Boston cases 2004-18; n=123), comparing accuracy of the new criteria to the currently used modified Boston criteria with histopathological assessment of CAA as the diagnostic standard. We also assessed performance of the v2.0 criteria in patients across all cohorts who had the diagnostic gold standard of brain autopsy. FINDINGS: The study protocol was finalised on Jan 15, 2017, patient identification was completed on Dec 31, 2018, and imaging analyses were completed on Sept 30, 2019. Of 401 potentially eligible patients presenting to Massachusetts General Hospital, 218 were eligible to be included in the analysis; of 160 patient datasets from other centres, 123 were included. Using the derivation cohort, we derived provisional criteria for probable CAA requiring the presence of at least two strictly lobar haemorrhagic lesions (ie, intracerebral haemorrhages, cerebral microbleeds, or foci of cortical superficial siderosis) or at least one strictly lobar haemorrhagic lesion and at least one white matter characteristic (ie, severe visible perivascular spaces in centrum semiovale or white matter hyperintensities in a multispot pattern). The sensitivity and specificity of these criteria were 74·8% (95% CI 65·4-82·7) and 84·6% (71·9-93·1) in the derivation cohort, 92·5% (79·6-98·4) and 89·5% (66·9-98·7) in the temporal validation cohort, 80·2% (70·8-87·6) and 81·5% (61·9-93·7) in the geographical validation cohort, and 74·5% (65·4-82·4) and 95·0% (83·1-99·4) in all patients who had autopsy as the diagnostic standard. The area under the receiver operating characteristic curve (AUC) was 0·797 (0·732-0·861) in the derivation cohort, 0·910 (0·828-0·992) in the temporal validation cohort, 0·808 (0·724-0·893) in the geographical validation cohort, and 0·848 (0·794-0·901) in patients who had autopsy as the diagnostic standard. The v2.0 Boston criteria for probable CAA had superior accuracy to the current Boston criteria (sensitivity 64·5% [54·9-73·4]; specificity 95·0% [83·1-99·4]; AUC 0·798 [0·741-0854]; p=0·0005 for comparison of AUC) across all individuals who had autopsy as the diagnostic standard. INTERPRETATION: The Boston criteria v2.0 incorporate emerging MRI markers of CAA to enhance sensitivity without compromising their specificity in our cohorts of patients aged 50 years and older presenting with spontaneous intracerebral haemorrhage, cognitive impairment, or transient focal neurological episodes. Future studies will be needed to determine generalisability of the v.2.0 criteria across the full range of patients and clinical presentations. FUNDING: US National Institutes of Health (R01 AG26484).
Authors: Marco Pasi; Thanakit Pongpitakmetha; Andreas Charidimou; Sanjula D Singh; Hsin-Hsi Tsai; Li Xiong; Gregoire Boulouis; Andrew D Warren; Jonathan Rosand; Matthew P Frosch; Anand Viswanathan; M Edip Gurol; Steven M Greenberg Journal: Stroke Date: 2019-06-04 Impact factor: 7.914
Authors: J Linn; A Halpin; P Demaerel; J Ruhland; A D Giese; M Dichgans; M A van Buchem; H Bruckmann; S M Greenberg Journal: Neurology Date: 2010-04-27 Impact factor: 9.910
Authors: Marco Pasi; Gregoire Boulouis; Panagiotis Fotiadis; Eitan Auriel; Andreas Charidimou; Kellen Haley; Alison Ayres; Kristin M Schwab; Joshua N Goldstein; Jonathan Rosand; Anand Viswanathan; Leonardo Pantoni; Steven M Greenberg; M Edip Gurol Journal: Neurology Date: 2017-05-05 Impact factor: 9.910
Authors: Mark A Rodrigues; Neshika Samarasekera; Christine Lerpiniere; Catherine Humphreys; Mark O McCarron; Philip M White; James A R Nicoll; Cathie L M Sudlow; Charlotte Cordonnier; Joanna M Wardlaw; Colin Smith; Rustam Al-Shahi Salman Journal: Lancet Neurol Date: 2018-01-10 Impact factor: 44.182
Authors: Gargi Banerjee; Matthew E Adams; Zane Jaunmuktane; G Alistair Lammie; Ben Turner; Mushtaq Wani; Inder M S Sawhney; Henry Houlden; Simon Mead; Sebastian Brandner; David J Werring Journal: Ann Neurol Date: 2019-01-17 Impact factor: 10.422