Statistical evaluation of test-retest studies in PET brain imaging
Abstract Background Positron emission tomography (PET) is a molecular imaging technology that enables in vivo quantification of metabolic activity or receptor density, among other applications. Examples of applications of PET imaging in neuroscience include studies of neuroreceptor/neurotransmitter...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-02-01
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| Series: | EJNMMI Research |
| Online Access: | http://link.springer.com/article/10.1186/s13550-018-0366-8 |
| _version_ | 1818837586930565120 |
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| author | Richard Baumgartner Aniket Joshi Dai Feng Francesca Zanderigo R. Todd Ogden |
| author_facet | Richard Baumgartner Aniket Joshi Dai Feng Francesca Zanderigo R. Todd Ogden |
| author_sort | Richard Baumgartner |
| collection | DOAJ |
| description | Abstract Background Positron emission tomography (PET) is a molecular imaging technology that enables in vivo quantification of metabolic activity or receptor density, among other applications. Examples of applications of PET imaging in neuroscience include studies of neuroreceptor/neurotransmitter levels in neuropsychiatric diseases (e.g., measuring receptor expression in schizophrenia) and of misfolded protein levels in neurodegenerative diseases (e.g., beta amyloid and tau deposits in Alzheimer’s disease). Assessment of a PET tracer’s test-retest properties is an important component of tracer validation, and it is usually carried out using data from a small number of subjects. Results Here, we investigate advantages and limitations of test-retest metrics that are commonly used for PET brain imaging, including percent test-retest difference and intraclass correlation coefficient (ICC). In addition, we show how random effects analysis of variance, which forms the basis for ICC, can be used to derive additional test-retest metrics, which are generally not reported in the PET brain imaging test-retest literature, such as within-subject coefficient of variation and repeatability coefficient. We reevaluate data from five published clinical PET imaging test-retest studies to illustrate the relative merits and utility of the various test-retest metrics. We provide recommendations on evaluation of test-retest in brain PET imaging and show how the random effects ANOVA based metrics can be used to supplement the commonly used metrics such as percent test-retest. Conclusions Random effects ANOVA is a useful model for PET brain imaging test-retest studies. The metrics that ensue from this model are recommended to be reported along with the percent test-retest metric as they capture various sources of variability in the PET test-retest experiments in a succinct way. |
| first_indexed | 2024-12-19T03:24:52Z |
| format | Article |
| id | doaj.art-2a4623b1337f4c2b8a3655c977f28037 |
| institution | Directory Open Access Journal |
| issn | 2191-219X |
| language | English |
| last_indexed | 2024-12-19T03:24:52Z |
| publishDate | 2018-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EJNMMI Research |
| spelling | doaj.art-2a4623b1337f4c2b8a3655c977f280372022-12-21T20:37:39ZengSpringerOpenEJNMMI Research2191-219X2018-02-01811910.1186/s13550-018-0366-8Statistical evaluation of test-retest studies in PET brain imagingRichard Baumgartner0Aniket Joshi1Dai Feng2Francesca Zanderigo3R. Todd Ogden4Merck and Co., Inc.Novartis Institutes for Biomedical ResearchMerck and Co., Inc.Department of Psychiatry, Columbia University Medical CenterMolecular Imaging and Neuropathology Division, New York State Psychiatric InstituteAbstract Background Positron emission tomography (PET) is a molecular imaging technology that enables in vivo quantification of metabolic activity or receptor density, among other applications. Examples of applications of PET imaging in neuroscience include studies of neuroreceptor/neurotransmitter levels in neuropsychiatric diseases (e.g., measuring receptor expression in schizophrenia) and of misfolded protein levels in neurodegenerative diseases (e.g., beta amyloid and tau deposits in Alzheimer’s disease). Assessment of a PET tracer’s test-retest properties is an important component of tracer validation, and it is usually carried out using data from a small number of subjects. Results Here, we investigate advantages and limitations of test-retest metrics that are commonly used for PET brain imaging, including percent test-retest difference and intraclass correlation coefficient (ICC). In addition, we show how random effects analysis of variance, which forms the basis for ICC, can be used to derive additional test-retest metrics, which are generally not reported in the PET brain imaging test-retest literature, such as within-subject coefficient of variation and repeatability coefficient. We reevaluate data from five published clinical PET imaging test-retest studies to illustrate the relative merits and utility of the various test-retest metrics. We provide recommendations on evaluation of test-retest in brain PET imaging and show how the random effects ANOVA based metrics can be used to supplement the commonly used metrics such as percent test-retest. Conclusions Random effects ANOVA is a useful model for PET brain imaging test-retest studies. The metrics that ensue from this model are recommended to be reported along with the percent test-retest metric as they capture various sources of variability in the PET test-retest experiments in a succinct way.http://link.springer.com/article/10.1186/s13550-018-0366-8 |
| spellingShingle | Richard Baumgartner Aniket Joshi Dai Feng Francesca Zanderigo R. Todd Ogden Statistical evaluation of test-retest studies in PET brain imaging EJNMMI Research |
| title | Statistical evaluation of test-retest studies in PET brain imaging |
| title_full | Statistical evaluation of test-retest studies in PET brain imaging |
| title_fullStr | Statistical evaluation of test-retest studies in PET brain imaging |
| title_full_unstemmed | Statistical evaluation of test-retest studies in PET brain imaging |
| title_short | Statistical evaluation of test-retest studies in PET brain imaging |
| title_sort | statistical evaluation of test retest studies in pet brain imaging |
| url | http://link.springer.com/article/10.1186/s13550-018-0366-8 |
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