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Eur J Haematol ; 100(2): 189-197, 2018 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-29226428

RESUMO

OBJECTIVE: To evaluate the association of 18 F-2'-deoxy 2'-fluorodeoxyglucose (18 F-FDG) PET/CT with clinical parameters in predicting patients with newly diagnosed multiple myeloma (MM). METHODS: A total of 120 MM patients undergoing 18 F-FDG PET/CT scanning were analyzed in a retrospective cohort study. RESULTS: Based on multivariate analysis, ß2M, LDH, number of focal lesions (FLs), and SUVmax were significantly correlated with OS. These 4 variables were used to construct a new staging system (NSS) based on the number of risk factors. NSS provided a better discrimination of risk between stages III and II than International staging system (ISS) (P < .001 vs P = .086). For OS, there was no significant difference among risk groups in Durie-Salmon (DS) stage (P > .05). Based on Spearman correlation analysis, the presence of lesions in appendicular skeleton, number of FLs, and SUVmax appeared to indicate advanced stage of MM. ROC curves which showed the combination of ß2M with calcium got a specificity of 96.3% for lesions in appendicular skeleton, and LDH alone had 100% specificity in predicting the number of FLs, although the sensitivity was only 50%. CONCLUSIONS: 18 F-FDG PET/CT in combination with clinical parameters provided an accurate and simple method for risk stratification of patients with newly diagnosed MM.


Assuntos
Fluordesoxiglucose F18 , Mieloma Múltiplo/diagnóstico , Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada , Adulto , Idoso , Biomarcadores , Feminino , Humanos , Processamento de Imagem Assistida por Computador , Estimativa de Kaplan-Meier , Masculino , Pessoa de Meia-Idade , Mieloma Múltiplo/sangue , Mieloma Múltiplo/mortalidade , Mieloma Múltiplo/terapia , Análise Multivariada , Estadiamento de Neoplasias , Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada/métodos , Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada/normas , Valor Preditivo dos Testes , Prognóstico , Curva ROC , Estudos Retrospectivos , Avaliação de Sintomas
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