Long Versus Short Axial Field of View Immuno-PET/CT: Semiquantitative Evaluation for89Zr-Trastuzumab Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.2967/jnumed.123.265621
The purpose of this study was to quantify any differences between the SUVs of 89Zr immuno-PET scans obtained using a PET/CT system with a long axial field of view (LAFOV; Biograph Vision Quadra) compared to a PET/CT system with a short axial field of view (SAFOV; Biograph Vision) and to evaluate how LAFOV PET scan duration affects image noise and SUV metrics. Methods: Five metastatic breast cancer patients were scanned consecutively on SAFOV and LAFOV PET/CT scanners. Four additional patients were scanned using only LAFOV PET/CT. Scans on both systems lasted approximately 30 min and were acquired 4 d after injection of 37 MBq of 89Zr-trastuzumab. LAFOV list-mode data were reprocessed to obtain images acquired using shorter scan durations (15, 10, 7.5, 5, and 3 min). Volumes of interest were placed in healthy tissues, and tumors were segmented semiautomatically to compare coefficients of variation and to perform Bland-Altman analysis on SUV metrics (SUVmax, SUVpeak, and SUVmean). Results: Using 30-min images, 2 commonly used lesion SUV metrics were higher for SAFOV than for LAFOV PET (SUVmax, 16.2% ± 13.4%, and SUVpeak, 10.1% ± 7.2%), whereas the SUVmean of healthy tissues showed minimal differences (0.7% ± 5.8%). Coefficients of variation in the liver derived from 30-min SAFOV PET were between those of 3- and 5-min LAFOV PET. The smallest SUVmax and SUVpeak differences between SAFOV and LAFOV were found for 3-min LAFOV PET. Conclusion: LAFOV 89Zr immuno-PET showed a lower SUVmax and SUVpeak than SAFOV because of lower image noise. LAFOV PET scan duration may be reduced at the expense of increasing image noise and bias in SUV metrics. Nevertheless, SUVpeak showed only minimal bias when reducing scan duration from 30 to 10 min.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2967/jnumed.123.265621
- https://jnm.snmjournals.org/content/jnumed/64/11/1815.full.pdf
- OA Status
- bronze
- Cited By
- 17
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385545834
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385545834Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2967/jnumed.123.265621Digital Object Identifier
- Title
-
Long Versus Short Axial Field of View Immuno-PET/CT: Semiquantitative Evaluation for89Zr-TrastuzumabWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-03Full publication date if available
- Authors
-
Philipp Mohr, Joyce van Sluis, Laura Providência, Johannes H. van Snick, Marjolijn N. Lub–de Hooge, Antoon T. M. Willemsen, Andor W.J.M. Glaudemans, Ronald Boellaard, Adriaan A. Lammertsma, Adrienne H. Brouwers, Charalampos TsoumpasList of authors in order
- Landing page
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https://doi.org/10.2967/jnumed.123.265621Publisher landing page
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https://jnm.snmjournals.org/content/jnumed/64/11/1815.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://jnm.snmjournals.org/content/jnumed/64/11/1815.full.pdfDirect OA link when available
- Concepts
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Nuclear medicine, Medicine, PET-CT, Positron emission tomography, Coefficient of variation, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
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17Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 9, 2023: 3Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.immuno-PET | 15, 234 |
| abstract_inverted_index.increasing | 259 |
| abstract_inverted_index.metastatic | 64 |
| abstract_inverted_index.differences | 9, 191, 220 |
| abstract_inverted_index.reprocessed | 110 |
| abstract_inverted_index.Bland-Altman | 147 |
| abstract_inverted_index.Coefficients | 195 |
| abstract_inverted_index.coefficients | 141 |
| abstract_inverted_index.Nevertheless, | 267 |
| abstract_inverted_index.approximately | 91 |
| abstract_inverted_index.consecutively | 70 |
| abstract_inverted_index.<b>Methods:</b> | 62 |
| abstract_inverted_index.<b>Results:</b> | 156 |
| abstract_inverted_index.<sup>89</sup>Zr | 14, 233 |
| abstract_inverted_index.SUV<sub>max</sub> | 217, 238 |
| abstract_inverted_index.semiautomatically | 138 |
| abstract_inverted_index.<b>Conclusion:</b> | 231 |
| abstract_inverted_index.SUV<sub>mean</sub> | 185 |
| abstract_inverted_index.SUV<sub>peak</sub> | 219, 240, 268 |
| abstract_inverted_index.(SUV<sub>max</sub>, | 152, 174 |
| abstract_inverted_index.SUV<sub>peak</sub>, | 153, 179 |
| abstract_inverted_index.SUV<sub>mean</sub>). | 155 |
| abstract_inverted_index.<sup>89</sup>Zr-trastuzumab. | 105 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.95171147 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |