About: Evaluation of Ultra Low Dose chest CT imaging for Covid 19 diagnosis and follow up

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Evaluation of Ultra Low Dose chest CT imaging for Covid 19 diagnosis and follow up
Creator	Haghighi, Rezvan Iranpour, Pooya Zarei, Fariba Chatterjee, Sabyasachi Emadi, Sedigheh Jalli, Reza Lotfi, Mehrzad Vc, Vani
Source	ArXiv
abstract	Objective: Computed Tomography (CT) has an important role to detect lung lesion related to Covide 19. The purpose of this work is to obtain diagnostic findings of Ultra-Low Dose (ULD) chest CT image and compare with routine dose chest CT. Material and Methods: Patients, suspected of Covid 19 infection, were scanned successively with routine dose, and ULD, with 98% or 94% dose reduction, protocols. Axial images of routine and ULD chest CT were evaluated objectively by two expert radiologists and quantitatively by Signal to Noise Ratio (SNR) and pixel by pixel noise measurement. Results: It was observed that the ULD and routine dose chest CT images could detect Covid 19 related lung lesions in patients with PCR positive test. Also, SNR and pixel noise values were comparable in these protocols. Conclusion: ULD chest CT with 98% dose reduction can be used in non-pandemic situation as a substitute for chest radiograph for screening and follow up. Routine chest CT protocol can be replaced by ULD, with 94% dose reduction, to detect patients suspected with Covid 19 at an early stage and for its follow up.
has issue date	2020-05-07(xsd:dateTime)
has license	arxiv
sha1sum (hex)	4e654128c3ffba4d5d1d140bd2ed0e00192fbf2a
resource representing a document's title	Evaluation of Ultra Low Dose chest CT imaging for Covid 19 diagnosis and follow up
resource representing a document's body	covid:4e654128c3ffba4d5d1d140bd2ed0e00192fbf2a#body_text
is schema:about of	named entity 'chest' named entity 'dose' named entity 'DIAGNOSTIC FINDINGS' named entity 'ULTRA' named entity 'CT IMAGE' covid:arg/4e654128c3ffba4d5d1d140bd2ed0e00192fbf2a named entity 'ULD' named entity 'chest CT' named entity 'chest CT' named entity 'lung' named entity 'CT imaging' named entity 'Compton scattering' named entity 'ULD' named entity 'CT image' named entity 'stochastic' named entity 'genetic disorder' named entity 'underlying diseases' named entity 'PCR' named entity 'chest CT' named entity 'ULD' named entity 'Covid 19' named entity 'sec' named entity 'GGO' named entity 'x-ray tubes' named entity 'lung' named entity 'iterative reconstruction' named entity 'Covid 19' named entity 'Covid 19' named entity 'SNR' named entity 'effective dose' named entity 'respiratory distress' named entity 'ULD' named entity 'trachea' named entity 'lung' named entity 'lung' named entity 'lung' named entity 'Covid 19' named entity 'mSv' named entity 'aorta' named entity 'chest CT' named entity 'emergency ward' named entity 'chest CT' named entity 'SNR' named entity 'standard deviation' named entity 'DLP' named entity 'COVID-19' named entity 'photon' named entity 'chest CT' named entity 'covid 19' named entity 'iDose' named entity 'chest CT' named entity 'voltage' named entity 'effective dose' named entity 'Ground glass opacity' named entity 'ULD' named entity 'product of 0' named entity 'mSv' named entity 'epidemic' named entity 'pixel by pixel' named entity 'pixel' named entity 'mSv' named entity 'chest CT' named entity 'lesion' named entity 'follow-up' named entity 'chest CT' named entity 'Covid' named entity 'radiologists' named entity 'radiation protection' named entity 'pixel' named entity 'ULD' named entity 'PCR test' named entity 'reverse halo sign' named entity 'effective dose' named entity 'lesion' named entity 'chest CT' named entity 'chest CT' named entity 'pediatric' named entity 'developing countries' named entity 'ULD' named entity 'effective dose'

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