Application of an artificial intelligence ensemble for detection of important secondary findings on lung ventilation and perfusion SPECT-CT.

Journal: Clinical imaging
PMID: 37167806

Abstract

RATIONALE: Single-photon-emission-computerized-tomography/computed-tomography(SPECT/CT) is commonly used for pulmonary disease. Scant work has been done to determine ability of AI for secondary findings using low-dose-CT(LDCT) attenuation correction series of SPECT/CT.

Authors

  • Carter Smith
    Division of CardioThoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC 29425, United States of America. Electronic address: smitcart@musc.edu.
  • Sophia Nance
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive Room 2221 ART, Charleston, SC 29425.
  • Jordan H Chamberlin
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive Room 2221 ART, Charleston, SC 29425.
  • Dhruw Maisuria
    Division of CardioThoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC 29425, United States of America. Electronic address: maisuria@musc.edu.
  • Jim O'Doherty
    Siemens Healthineers, Princeton, New Jersey.
  • Dhiraj Baruah
    Department of Radiology and Radiological Science; Medical University of South Carolina, Charleston, South Carolina.
  • Uwe Joseph Schoepf
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive Room 2221 ART, Charleston, SC 29425. Electronic address: schoepf@musc.edu.
  • Akos-Varga Szemes
    Division of CardioThoracic Radiology, Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC 29425, United States of America. Electronic address: vargaasz@musc.edu.
  • Saeed Elojeimy
    Division of Nuclear Medicine, Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas Street, Suite 210, MSC 323, Charleston, SC 29425, United States of America. Electronic address: elojeim@musc.edu.
  • Ismail M Kabakus
    Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC.

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