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1.
Diagn Interv Imaging ; 100(7-8): 411-419, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30948344

RESUMO

PURPOSE: The purpose of this study was to identify magnetic resonance imaging (MRI) features that are associated with telomerase reverse transcriptase promoter mutation (TERTm) in glioblastoma. MATERIALS AND METHODS: A total of 112 patients with glioblastoma who had MRI at 1.5- or 3.0-T were retrospectively included. There were 43 patients with glioblastoma with wild-type TERT (TERTw) (22 men, 21 women; mean age, 47±25 [SD] years; age range: 3-84 years) and 69 patients with glioblastoma with TERTm (34 men, 35 women; mean age 64±11 [SD] years; age range, 41--85 years). The feature vectors consist of 11 input units for two clinical parameters (age and gender) and nine MRI characteristics (tumor location, subventricular extension, cortical extension, multiplicity, enhancing volume, necrosis volume, the percentage of necrosis volume, minimum apparent diffusion coefficient [ADC] and normalized ADC). First, the diagnostic performance using univariate and multivariate logistic regression analyses was evaluated. Second, the cross-validation of the support vector machine (SVM) was performed by using leave-one-out method with 43 TERTw and 69 TERTm to evaluate the diagnostic performance. In addition, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy for the differentiation between TERTw and TERTm were compared between logistic regression analysis and SVM. RESULTS: With multivariate analysis, the percentage of necrosis volume and age were significantly greater in TERTm glioblastoma than in TERTw glioblastoma. SVM allowed discriminating between TERTw glioblastoma and TERTm glioblastoma with sensitivity, specificity, PPV, NPV, and accuracy of 85.7% [60/70; 95% confidence interval (CI): 75.3-92.9%], 54.8% (23/42; 95% CI: 38.7-70.2%), 75.9% (60/79; 95% CI: 69.1-81.7%), 69.7% (23/33; 95% CI: 54.9-81.3%) and 74.1% (83/112; 95% CI: 65.0-81.9%), respectively. CONCLUSION: The percentage of necrosis volume and age may surrogate for predicting TERT mutation status in glioblastoma.


Assuntos
Neoplasias Encefálicas/diagnóstico por imagem , Glioblastoma/diagnóstico por imagem , Imageamento por Ressonância Magnética , Mutação , Regiões Promotoras Genéticas , Telomerase , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Neoplasias Encefálicas/genética , Neoplasias Encefálicas/patologia , Criança , Pré-Escolar , Meios de Contraste , Feminino , Glioblastoma/genética , Glioblastoma/patologia , Humanos , Isocitrato Desidrogenase/genética , Masculino , Pessoa de Meia-Idade , Análise Multivariada , Necrose , Valor Preditivo dos Testes , Estudos Retrospectivos , Sensibilidade e Especificidade , Máquina de Vetores de Suporte , Adulto Jovem
2.
Res Q Exerc Sport ; 70(2): 179-89, 1999 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-10380249

RESUMO

One hundred ninety-two undergraduate physical education students participated in this study of the influence of individual differences, group, and task factors on respondents' preferences for teaching or coaching. The individual difference factors were gender, managerial potential (Gough, 1984), and sex role attributes (Spence & Helmreich, 1986). The group and task differences were measured by a specially developed scale that was factor analyzed to yield six factors: job status, job significance, job variety and control, job identity, ease of discipline, ease of motivation. Subgroup analyses showed that men preferred more to coach than women did, and women preferred more to teach than men did. Men and women perceived greater job variety in coaching and greater control in teaching. The genders did not differ in managerial motivation or in any of the other perceived characteristics of the teaching and coaching roles. Finally, preference for teaching or coaching was influenced by gender, perceived ease of motivating students and athletes, and perceived job variety. These results were discussed in relation to existing literature, and future research directions are identified.


Assuntos
Escolha da Profissão , Individualidade , Educação Física e Treinamento , Estudantes , Adulto , Análise Fatorial , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Análise de Regressão , Análise e Desempenho de Tarefas , Ensino
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