Shape analysis of 123I-N-ω-fluoropropyl-2-β-carbomethoxy-3β-(4-iodophenyl) nortropane single-photon emission computed tomography images in the assessment of patients with parkinsonian syndromes
| Autor: | Kevin Wilson, Robert Caslake, J. Davidson, Howard G. Gemmell, Roger T. Staff, Trevor Ahearn, Carl Counsell, Alison D. Murray, Kate Sophia Mary Taylor |
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| Rok vydání: | 2009 |
| Předmět: |
Male
medicine.medical_specialty Computer science Single-photon emission computed tomography Parkinsonian syndromes Cohen's kappa Parkinsonian Disorders medicine Humans Radiology Nuclear Medicine and imaging In patient Tomography Emission-Computed Single-Photon medicine.diagnostic_test business.industry Reproducibility of Results General Medicine Neostriatum Fully automated Case-Control Studies Female Tomography Radiology Nuclear medicine business Emission computed tomography Follow-Up Studies Tropanes Shape analysis (digital geometry) |
| Zdroj: | Nuclear Medicine Communications. 30:194-201 |
| ISSN: | 0143-3636 |
| DOI: | 10.1097/mnm.0b013e328314b863 |
| Popis: | Purpose The purpose of this study was to show the viability and performance of a shape-based pattern recognition technique applied to I-N-omega-fluoropropyl-2-beta-carbomethoxy-3beta-(4-iodophenyl) nortropane single-photon emission computed tomography (FP-CIT SPECT) in patients with parkinsonism. Methods A fully automated pattern recognition tool, based on the shape of FP-CIT SPECT images, was written using Java. Its performance was evaluated and compared with QuantiSPECT, a region-of-interest-based quantitation tool, and observer performance using receiver operating characteristic analysis and kappa statistics. The techniques were compared using a sample of patients and controls recruited from a prospective community-based study of first presentation of parkinsonian symptoms with longitudinal follow up (median 3 years). Results The shape-based technique as well as the conventional semiquantitative approach was performed by experienced observers. The technique had a high level of automation, thereby avoiding observer/operator variability. Conclusion A pattern recognition approach is a viable alternative to traditional methods of analysis in FP-CIT SPECT and has additional advantages. |
| Databáze: | OpenAIRE |
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