Applying protein-based amide proton transfer MR imaging to distinguish solitary brain metastases from glioblastoma.
Eur Radiol
; 27(11): 4516-4524, 2017 Nov.
Article
em En
| MEDLINE
| ID: mdl-28534162
ABSTRACT
OBJECTIVES:
To determine the utility of amide proton transfer-weighted (APTw) MR imaging in distinguishing solitary brain metastases (SBMs) from glioblastomas (GBMs).METHODS:
Forty-five patients with SBMs and 43 patients with GBMs underwent conventional and APT-weighted sequences before clinical intervention. The APTw parameters and relative APTw (rAPTw) parameters in the tumour core and the peritumoral brain zone (PBZ) were obtained and compared between SBMs and GBMs. The receiver-operating characteristic (ROC) curve was used to assess the best parameter for distinguishing between the two groups.RESULTS:
The APTwmax, APTwmin, APTwmean, rAPTwmax, rAPTwmin or rAPTwmean values in the tumour core were not significantly different between the SBM and GBM groups (P = 0.141, 0.361, 0.221, 0.305, 0.578 and 0.448, respectively). However, the APTwmax, APTwmin, APTwmean, rAPTwmax, rAPTwmin or rAPTwmean values in the PBZ were significantly lower in the SBM group than in the GBM group (P < 0.001). The APTwmin values had the highest area under the ROC curve 0.905 and accuracy 85.2% in discriminating between the two neoplasms.CONCLUSION:
As a noninvasive imaging method, APT-weighted MR imaging can be used to distinguish SBMs from GBMs. KEY POINTS ⢠APTw values in the tumour core were not different between SBMs and GBMs. ⢠APTw values in peritumoral brain zone were lower in SBMs than in GBMs. ⢠The APTw min was the best parameter to distinguish SBMs from GBMs.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Encefálicas
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Imageamento por Ressonância Magnética
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Interpretação de Imagem Assistida por Computador
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Glioblastoma
Tipo de estudo:
Diagnostic_studies
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Prognostic_studies
Limite:
Adolescent
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Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Eur Radiol
Assunto da revista:
RADIOLOGIA
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
China