Articles producció científicaCiències Mèdiques Bàsiques

Perfusion CT of the Brain and Liver and of Lung Tumors: Use of Monte Carlo Simulation for Patient Dose Estimation for Examinations With a Cone-Beam 320-MDCT Scanner

  • Identification data

    Identifier:  imarina:5132680
    Authors:  Cros, Maria; Geleijns, Jacob; Joemai, Raoul M S; Salvado, Marcal
    Abstract:
    © American Roentgen Ray Society. Objective. The purpose of this study was to estimate the patient dose from perfusion CT examinations of the brain, lung tumors, and the liver on a cone-beam 320-MDCT scanner using a Monte Carlo simulation and the recommendations of the International Commission on Radiological Protection (ICRP). Materials and Methods. A Monte Carlo simulation based on the Electron Gamma Shower Version 4 package code was used to calculate organ doses and the effective dose in the reference computational phantoms for an adult man and adult woman as published by the ICRP. Three perfusion CT acquisition protocols-brain, lung tumor, and liver perfusion-were evaluated. Additionally, dose assessments were performed for the skin and for the eye lens. Conversion factors were obtained to estimate effective doses and organ doses from the volume CT dose index and dose-length product. RESULTS. The sex-averaged effective doses were approximately 4 mSv for perfusion CT of the brain and were between 23 and 26 mSv for the perfusion CT body protocols. The eye lens dose from the brain perfusion CT examination was approximately 153 mGy. The sex-averaged peak entrance skin dose (ESD) was 255 mGy for the brain perfusion CT studies, 157 mGy for the lung tumor perfusion CT studies, and 172 mGy for the liver perfusion CT studies. Conclusion. The perfusion CT protocols for imaging the brain, lung tumors, and the liver performed on a 320-MDCT scanner yielded patient doses that are safely below the threshold doses for deterministic effects. The eye lens dose, peak ESD, and effective doses can be estimated for other clinical perfusion CT examinations from the conversion factors that were derived in this study.
  • Others:

    APA: Cros, Maria; Geleijns, Jacob; Joemai, Raoul M S; Salvado, Marcal (2016). Perfusion CT of the Brain and Liver and of Lung Tumors: Use of Monte Carlo Simulation for Patient Dose Estimation for Examinations With a Cone-Beam 320-MDCT Scanner. AMERICAN JOURNAL OF ROENTGENOLOGY, 206(1), 129-135. DOI: 10.2214/AJR.15.14913
    Paper original source: AMERICAN JOURNAL OF ROENTGENOLOGY. 206 (1): 129-135
    Article's DOI: 10.2214/AJR.15.14913
    Journal publication year: 2016-01-01
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2026-05-16
    URV's Author/s: Salvadó Artells, Marçal
    Department: Ciències Mèdiques Bàsiques
    Licence document URL: https://creativecommons.org/licenses/by/3.0/es/
    Publication Type: Journal Publications
    ISSN: 0361803X
    Author, as appears in the article.: Cros, Maria; Geleijns, Jacob; Joemai, Raoul M S; Salvado, Marcal
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Research group: Física i Cristal·lografia de Materials
    Thematic Areas: General medicine, Interdisciplinar, Medicina i, Medicine (miscellaneous), Radiology, nuclear medicine & medical imaging, Radiology, nuclear medicine and imaging
    Author's mail: m.salvado@urv.cat, m.salvado@urv.cat
  • Keywords:

    cone-beam 320-mdct scanner
    international commission on radiological protection (icrp) computational phantoms
    monte carlo simulation
    patient dose assessment
    Brain
    Female
    Good health and well-being
    Humans
    Liver
    Lung neoplasms
    Male
    Monte carlo method
    Perfusion ct
    Phantoms
    imaging
    Radiation dosage
    Radiometry
    Tomography
    x-ray computed
    Medicine (Miscellaneous)
    Radiology
    Nuclear Medicine & Medical Imaging
    Nuclear Medicine and Imaging
    General medicine
    Interdisciplinar
    Medicina i
    0361803X
  • Documents:

  • Cerca a google

    Search to google scholar