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Abstract
Objective
Based on histopathology, Edinburgh diagnostic criteria were proposed to consider a nontraumatic intracerebral lobar hemorrhage (ICH) as related to cerebral amyloid angiopathy (CAA) using the initial computed tomography (CT) scan and the APOE genetic status. We aimed to externally validate the Edinburgh prediction model, excluding the APOE genotyping and based on the modified Boston criteria on the MRI for CAA diagnosis
Methods
We included patients admitted for spontaneous lobar ICH in the emergency department between 2016 and 2019 who underwent noncontrast CT scan and MRI. According to the MRI, patients were classified into the CAA group or into the non-CAA group in the case of other causes of ICH. Two neuroradiologists, blinded to the final retained diagnosis, rated each radiological feature on initial CT scan described in the Edinburgh study on initial CT scan
Results
A total of 102 patients were included, of whom 36 were classified in the CAA group, 46 in the non-CAA causes group and 20 of undetermined cause (excluded from the primary analysis). The Edinburgh prediction model, including finger-like projections and subarachnoid extension showed an area under receiver operating characteristic curves (AUC) of 0.760 (95% confidence interval, CI: 0.660–0.859) for the diagnosis of CAA. The AUC reached 0.808 (95% CI: 0.714–0.901) in a new prediction model integrating a third radiologic variable: the ICH cortical involvement.
Conclusion
Using the Boston MRI criteria as a final assessment, we provided a new external confirmation of the radiological Edinburgh CT criteria, which are directly applicable in acute settings of spontaneous lobar ICH and further proposed an original 3‑set model considering finger-like projections, subarachnoid extension, and cortical involvement that may achieve a high discrimination performance.
Details
; Roussel, Melanie 2 ; Gillibert, Andre 3 ; Verdalle-Cazes, Mikael 4 ; Dolores, Mickael 4 ; Ozkul-Wermester, Ozlem 5 ; Gilard, Vianney 6 ; Derrey, Stephane 6 ; Maltête, David 5 ; Gerardin, Emmanuel 4 ; Joly, Luc-Marie 2 ; Wallon, David 1 ; Magne, Nicolas 4 1 Rouen University Hospital, Department of Neurology, Rouen Cedex, France (GRID:grid.41724.34) (ISNI:0000 0001 2296 5231); Normandie Univ, UNIROUEN, Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Rouen, France (GRID:grid.412043.0) (ISNI:0000 0001 2186 4076)
2 Rouen University Hospital, Emergency Department, Rouen, France (GRID:grid.41724.34) (ISNI:0000 0001 2296 5231)
3 University of Rouen, Department of Biostatistics, Rouen University Hospital, Rouen, France (GRID:grid.10400.35) (ISNI:0000 0001 2108 3034)
4 Rouen University Hospital, Department of Radiology, Rouen, France (GRID:grid.41724.34) (ISNI:0000 0001 2296 5231)
5 Rouen University Hospital, Department of Neurology, Rouen Cedex, France (GRID:grid.41724.34) (ISNI:0000 0001 2296 5231)
6 Rouen University Hospital, Department of Neurosurgery, Rouen, France (GRID:grid.41724.34) (ISNI:0000 0001 2296 5231)





