Cardiovascular magnetic resonance feature tracking for rejection surveillance after cardiac transplantation
Segmental CMR strain analysis demonstrates excellent diagnostic accuracy and negative predictive value for detecting high-grade ACAR and monitoring post-therapy recovery. This non-invasive approach, particularly when integrated with multiparametric models combining global strain and tissue mapping, has the potential to reduce reliance on invasive EMBs for ACAR surveillance in cardiac transplant recipients.
Authors
- Cassia Kessler
- K. Muthiah (ORCID: https://orcid.org/0000-0002-3293-7119)
- Robert M. Graham (ORCID: https://orcid.org/0000-0002-1042-2587)
- Jane McCrohon
- Christian Stehning (ORCID: https://orcid.org/0000-0002-0660-840X)
- Min Qiu (ORCID: https://orcid.org/0000-0002-2297-3351)
- Kirsten Moffat
- Jim Pouliopoulos
- Valentina O. Püntmann (ORCID: https://orcid.org/0000-0002-6044-7002)
- Eugene Kotlyar (ORCID: https://orcid.org/0000-0003-0144-5012)
- Andrew Jabbour (ORCID: https://orcid.org/0000-0002-9219-5524)
- Muhummad Imran
- Christopher S Hayward
- Cameron Holloway
- Chris Anthony
- Sanjay Prasad
- Peter S Macdonald
- Anne M Keogh
Institutions
- Goethe University Frankfurt (DE)
- Victor Chang Cardiac Research Institute (AU)
- Fairfield Hospital (AU)
- St Vincent's Hospital Sydney (AU)
- Monash Alfred Psychiatry Research centre (AU)
- Royal Brompton Hospital (GB)
- St Vincent’s Private Hospital Sydney (AU)
- St Vincent's Clinic (AU)
- University Hospital Frankfurt (DE)
- Philips (Germany) (DE)
- Alfred Health (AU)
- Imperial College London (GB)
Publication Details
- Journal
- Journal of Cardiovascular Magnetic Resonance
- Published
- 2025-12-24
- DOI
- https://doi.org/10.1016/j.jocmr.2025.102675
- Primary Topic
- Transplantation: Methods and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00