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1.
Cerebrovasc Dis ; 43(1-2): 9-16, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-27750252

RESUMO

BACKGROUND: Using flat-detector CT (FD-CT) for stroke imaging has the advantage that both diagnostic imaging and endovascular therapy can be performed directly within the Angio Suite without any patient transfer and time delay. Thus, stroke management could be speeded up significantly, and patient outcome might be improved. But as precondition for using FD-CT as primary imaging modality, a reliable exclusion of intracranial hemorrhage (ICH) has to be possible. This study aimed to investigate whether optimized native FD-CT, using a newly implemented reconstruction algorithm, may reliably detect ICH in stroke patients. Additionally, the potential to identify ischemic changes was evaluated. METHODS: Cranial FD-CT scans were obtained in 102 patients presenting with acute ischemic stroke (n = 32), ICH (n = 45) or transient ischemic attack (n = 25). All scans were reconstructed with a newly implemented half-scan cone-beam algorithm. Two experienced neuroradiologists, unaware of clinical findings, evaluated independently the FD-CTs screening for hemorrhage or ischemic signs. The findings were correlated to CT, and rater and inter-rater agreement was assessed. RESULTS: FD-CT demonstrated high sensitivity (95-100%) and specificity (100%) in detecting intracerebral and intraventricular hemorrhage (IVH). Overall, interobserver agreement (κ = 0.92) was almost perfect and rater agreement to CT highly significant (r = 0.81). One infratentorial ICH and 10 or 11 of 22 subarachnoid hemorrhages (SAHs) were missed of whom 7 were perimesencephalic. The sensitivity for detecting acute ischemic signs was poor in blinded readings (0 or 25%, respectively). CONCLUSIONS: Optimized FD-CT, using a newly implemented reconstruction algorithm, turned out as a reliable tool for detecting supratentorial ICH and IVH. However, detection of infratentorial ICH and perimesencephalic SAH is limited. The potential of FD-CT in detecting ischemic changes is poor in blinded readings. Thus, plain FD-CT seems insufficient as a standalone modality in acute stroke, but within a multimodal imaging approach primarily using the FD technology, native FD-CT seems capable to exclude reliably supratentorial hemorrhage. Currently, FD-CT imaging seems not yet ready for wide adoption, replacing regular CT, and should be reserved for selected patients. Furthermore, prospective evaluations are necessary to validate this approach in the clinical setting.


Assuntos
Isquemia Encefálica/diagnóstico , Hemorragia Cerebral/diagnóstico por imagem , Ataque Isquêmico Transitório/diagnóstico por imagem , Acidente Vascular Cerebral/diagnóstico por imagem , Tomógrafos Computadorizados , Tomografia Computadorizada por Raios X/instrumentação , Adulto , Idoso , Idoso de 80 Anos ou mais , Algoritmos , Isquemia Encefálica/terapia , Hemorragia Cerebral/terapia , Hemorragia Cerebral Intraventricular/diagnóstico por imagem , Hemorragia Cerebral Intraventricular/terapia , Desenho de Equipamento , Feminino , Humanos , Ataque Isquêmico Transitório/terapia , Masculino , Pessoa de Meia-Idade , Variações Dependentes do Observador , Valor Preditivo dos Testes , Prognóstico , Interpretação de Imagem Radiográfica Assistida por Computador , Reprodutibilidade dos Testes , Estudos Retrospectivos , Índice de Gravidade de Doença , Acidente Vascular Cerebral/terapia
2.
Artigo em Inglês | MEDLINE | ID: mdl-25485419

RESUMO

We present an efficient realization of recent work on unique geodesic paths between tree shapes for the application of matching coronary arteries to a standard model of coronary anatomy in order to label the coronary arteries. Automatically labeled coronary arteries would speed reporting for physicians. The efficiency of the approach and the quality of the results are enhanced using the relative position of detected cardiac structures. We explain how to efficiently compute the geodesic paths between tree shapes using Dijkstra's algorithm and we present a methodology to account for missing side branches during matching. For nearly all labels our approach shows promise compared with recent work and we results for 8 additional labels.


Assuntos
Pontos de Referência Anatômicos/diagnóstico por imagem , Angiografia Coronária/métodos , Vasos Coronários/diagnóstico por imagem , Documentação/métodos , Processamento de Linguagem Natural , Reconhecimento Automatizado de Padrão/métodos , Tomografia Computadorizada por Raios X/métodos , Inteligência Artificial , Humanos , Modelos Biológicos , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Técnica de Subtração
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