• Title of article

    Detection of Pulmonary Embolism with Gallium-68 Macroaggregated Albumin Perfusion PET/CT: An Experimental Study in Rabbits

  • Author/Authors

    Gultekin, Aziz Pamukkale University Medical Faculty - Department of Nuclear Medicine - Denizli, Turkey , Çagdas Çayır, Mustafa Pamukkale University Medical Faculty - Department of Cardiovascular Surgery - Denizli, Turkey , Ugur, Ayse Pamukkale University Education and Research Hospital - Department of Nuclear Medicine - Denizli, Turkey , Bir, Ferda Pamukkale University Medical Faculty - Department of Pathology - Denizli, Turkey , Yuksel, Dogangun Pamukkale University Medical Faculty - Department of Nuclear Medicine - Denizli, Turkey

  • Pages
    -123
  • From page
    131
  • To page
    7
  • Abstract
    This study was designed to evaluate the accuracy of detecting pulmonary embolism (PE) using the Technegas SPECT/CT combined with 68Ga PET/CT in a rabbit model. One hour after artificial PE (n = 6) and sham (n = 6) models were created, Technegas SPECT/CT ventilation and 68Ga-MAA PET/CT perfusion scan (V/Q scan) were performed. Ventilation imaging was performed first on all cases. Technegas SPECT/CTand 68Ga-MAA PET/CTimages were evaluated by a nuclear medicine physician who recorded the presence, number, and location of PE on a per-lobe basis. (e sensitivity, specificity, and accuracy of Technegas SPECT/CT and 68Ga-MAA PET/CTfor detecting PE were calculated using a histopathological evaluation as a reference standard. A total of 60 lung lobes were evaluated in 12 rabbits, and PE was detected in 20 lobes in V/Q scans and histopathological analysis. (e overall sensitivity, specificity, and accuracy were 100%, 100%, and 100%, respectively, for both the Technegas SPECT/CT and 68Ga-MAA PET/CT V/Q scans. Technegas/68Ga-MAA V/Q scans have good sensitivity, specificity, and accuracy in the detection of PE in this animal model study.
  • Keywords
    Embolism , Pulmonary , PET/CT , CTPA
  • Journal title
    Contrast Media and Molecular Imaging
  • Serial Year
    2020
  • Record number

    2618876