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Comparison of acquisition protocols for ventilation/perfusion SPECT - a Monte Carlo study.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging. (medicinsk bildbehandling och visualisering)ORCID iD: 0000-0002-7750-1917
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2019 (English)In: Physics in Medicine and Biology, ISSN 0031-9155, E-ISSN 1361-6560Article in journal (Refereed) Epub ahead of print
Abstract [en]

One of the most commonly used imaging techniques for diagnosing pulmonary embolism (PE) is ventilation/perfusion (V/P) scintigraphy. The aim of this study was to evaluate the performance of the currently used imaging protocols for V/P single photon emission computed tomography (V/P SPECT) at two nuclear medicine department sites and to investigate the effect of altering important protocol parameters. 
 
 The Monte Carlo technique was used to simulate 4D digital phantoms with perfusion defects. Six imaging protocols were included in the study and a total of 72 digital patients were simulated. Six dually trained radiologists/nuclear medicine physicians reviewed the images and reported all perfusion mismatch findings. The radiologists also visually graded the image quality. 
 
 No statistically significant differences in diagnostic performance were found between the studied protocols, but visual grading analysis pointed out one protocol as significantly superior to four of the other protocols. Considering the study results, we have decided to harmonize our clinical protocols for imaging patients with suspected PE. The administered Technegas and macro aggregated albumin activities have been altered, a low energy all purpose collimator is used instead of a low energy high resolution collimator and the acquisition times have been lowered.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Monte Carlo, SPECT, embolism, lung scintigraphy, perfusion, pulmonary, ventilation
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
Medical Technology
Identifiers
URN: urn:nbn:se:kth:diva-258727DOI: 10.1088/1361-6560/ab36eePubMedID: 31362272OAI: oai:DiVA.org:kth-258727DiVA, id: diva2:1350105
Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-09-10

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