Comparing diagnostic accuracy of


Journal

European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089
Titre abrégé: Eur J Nucl Med Mol Imaging
Pays: Germany
ID NLM: 101140988

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 04 08 2018
accepted: 25 10 2018
pubmed: 15 11 2018
medline: 21 7 2020
entrez: 15 11 2018
Statut: ppublish

Résumé

To evaluate the diagnostic accuracy of positron emission tomography/computed tomography with PET/CT and CE-CT were performed prospectively in 23 patients with suspected VGI. Diagnostic accuracy for PET/CT was assessed by using previously suggested cut-off points for maximum standardized uptake values (SUV Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and accuracy of PET/CT for the diagnosis of VGI was 100%, 50%, 100%, 72.2%, and 78.3%, using the most favorable SUV The diagnostic accuracy of combined CE-PET/CT in patients with suspected VGI is very high. The combination of the high sensitivity of PET/CT in detecting metabolically active foci in infection, and the high specificity of CE-CT in detecting anatomic alterations, appears to be the reason why combined imaging outperforms stand-alone imaging in diagnosing VGI and may be supportive in future decision-making of difficult cases of suspected VGI. Clinical Trials.gov Identifier: NCT01821664.

Sections du résumé

BACKGROUND BACKGROUND
To evaluate the diagnostic accuracy of positron emission tomography/computed tomography with
METHODS METHODS
PET/CT and CE-CT were performed prospectively in 23 patients with suspected VGI. Diagnostic accuracy for PET/CT was assessed by using previously suggested cut-off points for maximum standardized uptake values (SUV
RESULTS RESULTS
Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and accuracy of PET/CT for the diagnosis of VGI was 100%, 50%, 100%, 72.2%, and 78.3%, using the most favorable SUV
CONCLUSION CONCLUSIONS
The diagnostic accuracy of combined CE-PET/CT in patients with suspected VGI is very high. The combination of the high sensitivity of PET/CT in detecting metabolically active foci in infection, and the high specificity of CE-CT in detecting anatomic alterations, appears to be the reason why combined imaging outperforms stand-alone imaging in diagnosing VGI and may be supportive in future decision-making of difficult cases of suspected VGI. Clinical Trials.gov Identifier: NCT01821664.

Identifiants

pubmed: 30426151
doi: 10.1007/s00259-018-4205-y
pii: 10.1007/s00259-018-4205-y
doi:

Substances chimiques

Contrast Media 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Banques de données

ClinicalTrials.gov
['NCT01821664']

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1359-1368

Subventions

Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
ID : 32473B_163132/1

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Auteurs

Lars Husmann (L)

Department of Nuclear Medicine, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland. lars.husmann@usz.ch.

Martin W Huellner (MW)

Department of Nuclear Medicine, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.

Bruno Ledergerber (B)

Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.

Alexia Anagnostopoulos (A)

Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.

Paul Stolzmann (P)

Department of Nuclear Medicine, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.

Bert-Ram Sah (BR)

Department of Nuclear Medicine, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.
Institute of Diagnostic and Interventional Radiology, Department Medical Radiology, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.
Department of Cancer Imaging, King's College London, London, UK.

Irene A Burger (IA)

Department of Nuclear Medicine, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.

Zoran Rancic (Z)

Clinic for Cardiovascular Surgery, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.

Barbara Hasse (B)

Division of Infectious Diseases and Hospital Epidemiology, University Hospital of Zurich / University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland.

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Classifications MeSH