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1.
Med Phys ; 35(12): 5869-81, 2008 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-19175143

RESUMO

In this work the authors compare the accuracy of two-dimensional (2D) and three-dimensional (3D) implementations of a computer-aided image segmentation method to that of physician observers (using manual outlining) for volume measurements of liver tumors visualized with diagnostic contrast-enhanced and PET/CT-based non-contrast-enhanced (PET-CT) CT scans. The method assessed is a hybridization of the watershed method using observer-set markers with a gradient vector flow approach. This method is known as the iterative watershed segmentation (IWS) method. Initial assessments are performed using software phantoms that model a range of tumor shapes, noise levels, and noise qualities. IWS is then applied to CT image sets of patients with identified hepatic tumors and compared to the physicians' manual outlines on the same tumors. The repeatability of the physicians' measurements is also assessed. IWS utilizes multiple levels of segmentation performed with the use of "fuzzy regions" that could be considered part of a selected tumor. In phantom studies, the outermost volume outline for level 1 (called level 1_1 consisting of inner region plus fuzzy region) was generally the most accurate. For in vivo studies, the level 1_1 and the second outermost outline for level 2 (called level 2_2 consisting of inner region plus two fuzzy regions) typically had the smallest percent error values when compared to physician observer volume estimates. Our data indicate that allowing the operator to choose the "best result" level iteration outline from all generated outlines would likely give the more accurate volume for a given tumor rather than automatically choosing a particular level iteration outline. The preliminary in vivo results indicate that 2D-IWS is likely to be more accurate than 3D-IWS in relation to the observer volume estimates.


Assuntos
Neoplasias Hepáticas/radioterapia , Algoritmos , Simulação por Computador , Diagnóstico por Imagem/métodos , Humanos , Processamento de Imagem Assistida por Computador , Imageamento Tridimensional/métodos , Metástase Neoplásica , Reconhecimento Automatizado de Padrão/métodos , Imagens de Fantasmas , Tomografia por Emissão de Pósitrons/métodos , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Reprodutibilidade dos Testes , Software , Tomografia Computadorizada por Raios X/métodos
2.
Clin Appl Thromb Hemost ; 17(2): 197-201, 2011 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-21159704

RESUMO

This study was performed to develop a simple scoring system to aid in the early clinical management of patients suspected of heparin-induced thrombocytopenia (HIT) with regard to decisions for continued heparin therapy. The system was designed to arrive at low (0) or possible (1) probability scores without knowledge of laboratory test results (except platelet counts) to avoid delays. As the safest clinical approach is to discontinue heparin, intermediate and high scores were combined. Critically ill VA hospital patients (n = 100) with a ≥30% fall in platelet count were assessed by platelet aggregation (PA), (14)C-serotonin release assay ((14)C-SRA), and GTI ELISA. In this population, 53% were scored 1 and of these 43% were positive by laboratory test. Emphasizing the decision to discontinue heparin, the clinical signs of HIT were paramount for the immediate determination of a diagnosis of HIT without dependence on a positive laboratory test.


Assuntos
Anticoagulantes/efeitos adversos , Heparina/efeitos adversos , Monitorização Fisiológica/métodos , Trombocitopenia , Adulto , Idoso , Idoso de 80 Anos ou mais , Anticoagulantes/administração & dosagem , Ensaio de Imunoadsorção Enzimática , Feminino , Heparina/administração & dosagem , Humanos , Masculino , Pessoa de Meia-Idade , Agregação Plaquetária , Contagem de Plaquetas , Serotonina/sangue , Trombocitopenia/sangue , Trombocitopenia/induzido quimicamente , Trombocitopenia/diagnóstico , Fatores de Tempo
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