Testing ASPECTS Reliability Using Color Coded Algorithm Enhanced Gray- White Matter Non Contrast CT

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dc.contributor.advisorMenon, Bijoy K.
dc.contributor.authorHafeez, Moiz
dc.contributor.committeememberQiu, Wu
dc.contributor.committeememberFederico, Paolo
dc.contributor.committeememberDemchuk, Andrew M.
dc.contributor.committeememberKrupinski, Elizabeth A.
dc.contributor.committeememberSajobi, Tolulope T.
dc.date2018-11
dc.date.accessioned2018-07-11T16:58:46Z
dc.date.available2018-07-11T16:58:46Z
dc.date.issued2018-07-09
dc.description.abstractThe Alberta Stroke Program Early CT Score (ASPECTS) is widely used to assess and diagnose Acute Ischemic Stroke Patients (AIS). Inter-rater reliability for ASPECTS however, is very poor even amongst physicians with extensive expertise. Much of this limitation has to do with the lack of agreement amongst physicians in identifying Early Ischemic Changes (EIC) on Non- Contrast Computed Tomography (NCCT) scans. This lack of agreement is due to the extremely subtle findings that the human eye is exposed to on gray scale NCCT scans during the acute period of ischemia. We therefore sought to use post processing algorithms to develop Color- Coded Algorithm Enhanced Gray- White Matter (AEGWM) NCCT scans. Increased differentiation between Gray- White matter on AEGWM NCCT scans was developed to act as a powerful imaging tool allowing for better delineation of EIC for AIS patients. In this thesis I investigated the utility of AEGWM NCCT scans for the purposes of detecting EIC in AIS patients. Overall, we found that AEGWM scans performed better as opposed to gray scale NCCT scans when using DWI as ground truth. In addition, inter rater agreement increased consistently across raters of all levels of expertise while using AEGWM scans. Although with some limitations, the use of AEGWM scans may be a promising research direction to pursue for future work.en_US
dc.identifier.citationHafeez, M. (2018). Testing ASPECTS Reliability Using Color Coded Algorithm Enhanced Gray- White Matter Non Contrast CT (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/32352en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/32352
dc.identifier.urihttp://hdl.handle.net/1880/107130
dc.language.isoeng
dc.publisher.facultyCumming School of Medicine
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectStroke
dc.subjectImaging
dc.subjectNCCT
dc.subjectASPECTS
dc.subjectNeurology
dc.subject.classificationNeuroscienceen_US
dc.subject.classificationRadiologyen_US
dc.titleTesting ASPECTS Reliability Using Color Coded Algorithm Enhanced Gray- White Matter Non Contrast CT
dc.typemaster thesis
thesis.degree.disciplineMedical Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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