Your browser doesn't support javascript.
loading
Diagnostic accuracy of Doppler ultrasound for detecting hepatic artery stenosis after liver transplantation.
Mohamed Afif, A; Anthony, A P M; Jamaruddin, S; Su'aidi, S U; Li, H H; Low, A S C; Cheong, E H T.
Afiliação
  • Mohamed Afif A; Department of Diagnostic Radiology, Singapore General Hospital, Singapore. Electronic address: azizah.mohd.afif@sgh.com.sg.
  • Anthony APM; Department of Diagnostic Radiology, Singapore General Hospital, Singapore.
  • Jamaruddin S; Department of Diagnostic Radiology, Singapore General Hospital, Singapore.
  • Su'aidi SU; Department of Diagnostic Radiology, Singapore General Hospital, Singapore.
  • Li HH; Department of Health Serviced Research Unit, Singapore General Hospital, Singapore.
  • Low ASC; Department of Diagnostic Radiology, Singapore General Hospital, Singapore.
  • Cheong EHT; Department of Diagnostic Radiology, Singapore General Hospital, Singapore.
Clin Radiol ; 76(9): 708.e19-708.e25, 2021 Sep.
Article em En | MEDLINE | ID: mdl-33902885
ABSTRACT

AIM:

To evaluate the diagnostic accuracy of Doppler ultrasound (DUS) in detecting hepatic artery stenosis (HAS) after liver transplantation using computed tomography angiography (CTA) as the reference standard. MATERIALS AND

METHODS:

This study included data from January 2005 to November 2017, where DUS of the hepatic artery of living and deceased donor liver grafts were compared with the reference standard, CTA. DUS parameters, such as intrahepatic artery (IHA) peak systolic velocity (PSV), resistive index (RI), systolic acceleration time (SAT); and extrahepatic artery (EHA) PSV were taken. The optimum cut-off was estimated using area under the receiver operating characteristic curve (AUC). Multivariable logistic regression analysis was developed to predict HAS.

RESULTS:

Ninety-nine liver transplant cases were retrieved, 50 met the inclusion criteria where nine patients had significant HAS. HAS patients had a significantly low IHAPSV with a cut-off of 35.1 cm/s (sensitivity 53.8%, specificity 78.4%, AUC 0.701). IHARI had a significantly low RI with a cut-off 0.585 (sensitivity 86.7%, specificity 85.4%, AUC 0.913). The IHASAT cut-off was 0.045 seconds (sensitivity 80%, specificity 91.4%, AUC 0.857). The EHAPSV cut-off was 197.4 cm/s (sensitivity 50%, specificity 99.1%, AUC 0.648). The prediction model using DUS parameters IHARI and IHASAT demonstrated good discrimination with an AUC of 0.930 (95% CI 0.843, 1.000; sensitivity 93.3%, specificity 88%).

CONCLUSION:

A prediction model using the DUS parameters IHARI and IHASAT showed good diagnostic accuracy of 88.6% for monitoring liver transplant patients. If validated externally, this DUS model could be utilised to diagnose HAS in liver transplant recipients.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Arteriopatias Oclusivas / Transplante de Fígado / Ultrassonografia Doppler / Artéria Hepática Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias / Arteriopatias Oclusivas / Transplante de Fígado / Ultrassonografia Doppler / Artéria Hepática Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Ano de publicação: 2021 Tipo de documento: Article