Averaging Strategy to Form the Imaging for Routine Reading of Insulinoma from Pancreatic Perfusion Dataset / 中国医学科学院学报
Acta Academiae Medicinae Sinicae
; (6): 47-52, 2021.
Article
em Zh
| WPRIM
| ID: wpr-878697
Biblioteca responsável:
WPRO
ABSTRACT
Objective To determine the appropriate averaging strategy for pancreatic perfusion datasets to create images for routine reading of insulinoma.Methods Thirty-nine patients undergoing pancreatic perfusion CT in Peking Union Medical College Hospital and diagnosed as insulinoma by pathology were enrolled in this retrospective study.The time-density curve of abdominal aorta calculated by software dynamic angio was used to decide the timings for averaging.Five strategies,by averaging 3,5,7,9 and 11 dynamic scans in perfusion,all including peak enhancement of the abdominal aorta,were investigated in the study.The image noise,pancreas signal-to-noise ratio(SNR),lesion contrast and lesion contrast-to-noise ratio(CNR)were recorded and compared.Besides,overall image quality and insulinoma depiction were also compared.ANOVA and Friedman's test were performed.Results The image noise decreased and the SNR of pancreas increased with the increase in averaging time points(all P0.99)and were higher than that of the first group(all P<0.05).There was no significant difference in overall image quality among the 5 groups(P=0.977).Conclusions Image averaged from 5 scans showed moderate image noise,pancreas SNR and relatively high lesion contrast and lesion CNR.Therefore,it is advised to be used in image averaging to detect insulinoma.
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Índice:
WPRIM
Assunto principal:
Pâncreas
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Neoplasias Pancreáticas
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Perfusão
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Leitura
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Interpretação de Imagem Radiográfica Assistida por Computador
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Estudos Retrospectivos
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Meios de Contraste
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Razão Sinal-Ruído
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Insulinoma
Tipo de estudo:
Observational_studies
Limite:
Humans
Idioma:
Zh
Revista:
Acta Academiae Medicinae Sinicae
Ano de publicação:
2021
Tipo de documento:
Article