Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization

Includes bibliographical references === Objectives: To assess initial experience with the use of a new SPECT-CT in the evaluation of lesions. Methods: The folder number, radiopharmaceutical used and type of scan of patients examined with a new Siemens T6 SPECT-CT between 2 April and 31 December 2013...

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Main Author: Yunusa, Garba Haruna
Other Authors: Brink, Anita
Format: Dissertation
Language:English
Published: University of Cape Town 2016
Subjects:
Online Access:http://hdl.handle.net/11427/16777
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-167772020-11-25T05:10:47Z Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization Yunusa, Garba Haruna Brink, Anita Mann, Michael D Nuclear Medicine Includes bibliographical references Objectives: To assess initial experience with the use of a new SPECT-CT in the evaluation of lesions. Methods: The folder number, radiopharmaceutical used and type of scan of patients examined with a new Siemens T6 SPECT-CT between 2 April and 31 December 2013 were retrieved. The number of 99m Tc -MDP bone scans was sufficient for a detailed analysis. The scans were re-processed and reported by the observer before he was given any clinical information. Whole body planar, whole body planar plus SPECT and whole body planar plus SPECT-CT images were assessed successively in three separate sessions at least two weeks apart. At each session, the certainties of detection, localisation, and categorisation of each lesion were recorded. Results: A total of 539 lesions were seen on the whole body, SPECT and CT images in 133 patients. The whole body images showed no lesions in three patients and 378 lesions in 130 patients, 117(31%) lesions in areas not covered by the SPECT. SPECT detected 122 additional lesions in 79 patients. Thirty-nine (12.2%) lesions were seen only on CT in 32 (24.1%) patients. F or the 261 lesions seen on the planar images in the SPECT FOV, lesion detection was definite in 233 (89.3%), localisation definite in 151(57.9%) and categorisation definite in 123 (47.1%) lesions. On the SPECT, definite lesion detection, localisation and categorisation were recorded respectively for 259 (99.2%), 228 (87.4%) and 176 (67.4%) of the 261 lesions. Lesion detection, localisation and categorisation certainties were definite for 100%, 99.1% and 94.7% of the SPECT-CT lesions respectively. Conclusion: Whole body planar scintigraphy is essential in lesion detection. SPECT markedly improves lesion detection and localisation and CT enhances lesion categorisation. 2016-02-05T07:18:53Z 2016-02-05T07:18:53Z 2015 Master Thesis Masters MMed http://hdl.handle.net/11427/16777 eng application/pdf University of Cape Town Faculty of Health Sciences Division of Nuclear Medicine
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Nuclear Medicine
spellingShingle Nuclear Medicine
Yunusa, Garba Haruna
Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization
description Includes bibliographical references === Objectives: To assess initial experience with the use of a new SPECT-CT in the evaluation of lesions. Methods: The folder number, radiopharmaceutical used and type of scan of patients examined with a new Siemens T6 SPECT-CT between 2 April and 31 December 2013 were retrieved. The number of 99m Tc -MDP bone scans was sufficient for a detailed analysis. The scans were re-processed and reported by the observer before he was given any clinical information. Whole body planar, whole body planar plus SPECT and whole body planar plus SPECT-CT images were assessed successively in three separate sessions at least two weeks apart. At each session, the certainties of detection, localisation, and categorisation of each lesion were recorded. Results: A total of 539 lesions were seen on the whole body, SPECT and CT images in 133 patients. The whole body images showed no lesions in three patients and 378 lesions in 130 patients, 117(31%) lesions in areas not covered by the SPECT. SPECT detected 122 additional lesions in 79 patients. Thirty-nine (12.2%) lesions were seen only on CT in 32 (24.1%) patients. F or the 261 lesions seen on the planar images in the SPECT FOV, lesion detection was definite in 233 (89.3%), localisation definite in 151(57.9%) and categorisation definite in 123 (47.1%) lesions. On the SPECT, definite lesion detection, localisation and categorisation were recorded respectively for 259 (99.2%), 228 (87.4%) and 176 (67.4%) of the 261 lesions. Lesion detection, localisation and categorisation certainties were definite for 100%, 99.1% and 94.7% of the SPECT-CT lesions respectively. Conclusion: Whole body planar scintigraphy is essential in lesion detection. SPECT markedly improves lesion detection and localisation and CT enhances lesion categorisation.
author2 Brink, Anita
author_facet Brink, Anita
Yunusa, Garba Haruna
author Yunusa, Garba Haruna
author_sort Yunusa, Garba Haruna
title Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization
title_short Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization
title_full Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization
title_fullStr Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization
title_full_unstemmed Assessment of the impact of the application single photon emission computerized tomography and SPECT-CT on lesion catergorization
title_sort assessment of the impact of the application single photon emission computerized tomography and spect-ct on lesion catergorization
publisher University of Cape Town
publishDate 2016
url http://hdl.handle.net/11427/16777
work_keys_str_mv AT yunusagarbaharuna assessmentoftheimpactoftheapplicationsinglephotonemissioncomputerizedtomographyandspectctonlesioncatergorization
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