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1000 Titel
  • Image-based dosimetry for 225Ac-PSMA-I&T therapy using quantitative SPECT
1000 Autor/in
  1. Gosewisch, A. |
  2. Schleske, M. |
  3. Gildehaus, F. J. |
  4. Berg, I. |
  5. Kaiser, L. |
  6. Brosch, J. |
  7. Bartenstein, P. |
  8. Todica, A. |
  9. Ilhan, Harun |
  10. Böning, G. |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-21
1000 Erschienen in
1000 Quellenangabe
  • 48(4):1260-1261
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00259-020-05024-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041692/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Purpose!#!After a decade of PET/MR, the case of attenuation correction (AC) remains open. The initial four-compartment (air, water, fat, soft tissue) Dixon-based AC scheme has since been expanded with several features, the latest being MR field-of-view extension and a bone atlas. As this potentially changes quantification, we evaluated the impact of these features in PET AC in prostate cancer patients.!##!Methods!#!Two hundred prostate cancer patients were examined with either !##!Results!#!High correlation and no visually perceivable differences between all evaluated methods (r > 0.996) were found. The mean relative difference in lesion uptake of !##!Conclusions!#!Based on these results and the encountered bone atlas registration inaccuracy, we deduce that including bones and extending the MR field-of-view did not introduce clinically significant differences in PSMA diagnostic accuracy and tracer uptake quantification in prostate cancer pelvic lesions, facilitating the analysis of serial studies respectively. However, in the absence of ground truth data, we advise against atlas-based methods when comparing serial scans for bone lesions.
1000 Sacherschließung
lokal Nuclear Medicine
lokal Image of the Month
lokal Tomography, Emission-Computed, Single-Photon [MeSH]
lokal Humans [MeSH]
lokal Cardiology
lokal Imaging / Radiology
lokal Radiometry [MeSH]
lokal Oncology
lokal Image of the month
lokal Orthopedics
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R29zZXdpc2NoLCBBLg==|https://frl.publisso.de/adhoc/uri/U2NobGVza2UsIE0u|https://frl.publisso.de/adhoc/uri/R2lsZGVoYXVzLCBGLiBKLg==|https://frl.publisso.de/adhoc/uri/QmVyZywgSS4=|https://frl.publisso.de/adhoc/uri/S2Fpc2VyLCBMLg==|https://frl.publisso.de/adhoc/uri/QnJvc2NoLCBKLg==|https://frl.publisso.de/adhoc/uri/QmFydGVuc3RlaW4sIFAu|https://frl.publisso.de/adhoc/uri/VG9kaWNhLCBBLg==|https://orcid.org/0000-0003-0409-1942|https://frl.publisso.de/adhoc/uri/QsO2bmluZywgRy4=
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1000 Erstellt am 2023-11-18T05:17:42.385+0100
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