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Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM
Thesis (MMed)--Stellenbosch University, 2021.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2021
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| _version_ | 1867613809112252416 |
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| access_status_str | Open Access |
| author | Munemo, Lionel Tapiwa |
| author2 | Doruyter, Alex G. G. |
| author_browse | Doruyter, Alex G. G. Munemo, Lionel Tapiwa |
| author_facet | Doruyter, Alex G. G. Munemo, Lionel Tapiwa |
| author_sort | Munemo, Lionel Tapiwa |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MMed)--Stellenbosch University, 2021. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/123584 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:42:01.161Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/123584 Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM Munemo, Lionel Tapiwa Doruyter, Alex G. G. Warwick, James Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Medical Imaging and Clinical Oncology. Nuclear Medicine. Brain -- Tomography -- Statistical methods Tomography, Emission Fluorine -- Medical examinations UCTD Thesis (MMed)--Stellenbosch University, 2021. ENGLISH SUMMARY : Background: Positron emission tomography using Fluorine-18 2-Fluoro-2-Deoxy-D-Glucose (FDG-PET) has an established role in the investigation of multiple neurological conditions such as neurolupus and epilepsy. FDG PET brain scans are interpreted visually and semi-quantitatively using tools such as Neurostat or SPM. The normal databases used in Neurostat were created over 20 years ago, however since this time there has been a steady advance in camera technology and reconstruction algorithms for semiquantitative analysis. It is possible that results obtained with semiquantitative analysis using Neurostat (old PET databases) are different from results obtained with semiquantitative analysis using SPM (using a new PET database). The aim of this study was to evaluate whether there are differences in study interpretation when the same scans are read in combination with a Neurostat analysis, compared to when they are read in combination with an SPM analysis using a database built with new scan data. Methods: First, a local normal database was built with healthy control data using MATLAB R2014b and SPM12. These scans were obtained from previous research projects and prospectively enrolled participants. All scans were acquired on a Philips Gemini-TF Big bore PET/CT scanner. Second, a test dataset, comprising a mixture of clinical scans and scans of prospectively enrolled participants (other than those included in the normal database), was used to compare interpretation of results when using the SPM-based normal database (SPM) to interpretation results when using Neurostat (NS). Results: A database of normal FDG Brain PET/CT studies for the 19-35 year age group was created from a total of 26 healthy controls (13 men and 13 women – optimally matched for age and gender). The test dataset was comprised of 20 scans in the same age range: 15 clinical cases and 5 controls. Next, two expert readers read scans in the test dataset with the assistance of both the NS outputs and the SPM outputs, in separate reading sessions. There was no statistically significant difference in whether a scan was called normal or abnormal using either Neurostat or SPM. There was also no significant difference when comparing the number of lesions identified. SPM scored lesions as less severe than Neurostat (p=0.006). Conclusion: SPM-based analysis using a locally-developed normal database (with scans acquired on a modern PET-CT scanner) yielded similar results to Neurostat, justifying its continued use. Further evaluation to determine if these results are applicable to older patients with neurodegenerative conditions such as Alzheimer’s disease is planned. AFRIKAANSE OPSOMMING : Geen opsomming beskikbaar. Masters 2021-06-02T14:07:53Z 2021-12-22T14:10:50Z 2021-06-02T14:07:53Z 2021-12-22T14:10:50Z 2021-12 Thesis http://hdl.handle.net/10019.1/123584 en_ZA Stellenbosch University v, 25 pages ; illustrations, includes annexures application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Brain -- Tomography -- Statistical methods Tomography, Emission Fluorine -- Medical examinations UCTD Munemo, Lionel Tapiwa Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM |
| title | Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM |
| title_full | Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM |
| title_fullStr | Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM |
| title_full_unstemmed | Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM |
| title_short | Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM |
| title_sort | semiquantitative analysis of fdg pet brain scans using neurostat and spm |
| topic | Brain -- Tomography -- Statistical methods Tomography, Emission Fluorine -- Medical examinations UCTD |
| url | http://hdl.handle.net/10019.1/123584 |
| work_keys_str_mv | AT munemolioneltapiwa semiquantitativeanalysisoffdgpetbrainscansusingneurostatandspm |