Enhanced diagnostic and prognostic assessment of cardiac amyloidosis using combined 11C-PiB PET/CT and 99mTc-DPD scintigraphy
The integration of <sup>11</sup>C-PiB PET/CT and <sup>99m</sup>Tc-DPD scintigraphy, supported by both machine learning and rationale-based models, enhances the diagnostic accuracy and prognostic assessment of cardiac amyloidosis, with significant implications for clinical practice.
Authors
- Clemens P. Spielvogel (ORCID: https://orcid.org/0000-0002-4409-8324)
- Josef Yu (ORCID: https://orcid.org/0000-0003-1426-1538)
- Stefan Grünert
- Raffaella Calabretta (ORCID: https://orcid.org/0000-0002-8018-3884)
- Christian Nitsche (ORCID: https://orcid.org/0000-0002-0141-7639)
- Kilian Kluge (ORCID: https://orcid.org/0000-0002-4224-7314)
- Marcus Hacker (ORCID: https://orcid.org/0000-0002-4222-4083)
- Xiang Li (ORCID: https://orcid.org/0000-0002-0016-6233)
- Zhihui Hong
- Song Xue (ORCID: https://orcid.org/0000-0002-2932-5488)
- Zewen Jiang (ORCID: https://orcid.org/0009-0005-0172-868X)
- David Haberl
Institutions
- Capital Medical University (CN)
- Vienna General Hospital (AT)
- Soochow University (CN)
- Christian Doppler Laboratory for Thermoelectricity (AT)
- Beijing Chest Hospital (CN)
- Second Affiliated Hospital of Soochow University (CN)
- Medical University of Vienna (AT)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1007/s00259-025-07157-7
- Citations
- 7
- Primary Topic
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 5.64
Funders
- Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung
- Universität Wien
- China Scholarship Council
- Medizinische Universität Wien
- Christian Doppler Forschungsgesellschaft
- Siemens Healthineers