Building a machine learning-assisted echocardiography prediction tool for children at risk for cancer therapy-related cardiomyopathy
This methodology is a promising first step toward development of a DCNN capable of accurately differentiating pre-diagnosis versus non-case echocardiograms to predict survivors more likely to develop cardiomyopathy.
Authors
- Ritu Sachdeva (ORCID: https://orcid.org/0000-0001-5080-7433)
- Sanika A. Joshi
- William L. Border
- Lindsay A. Edwards (ORCID: https://orcid.org/0000-0003-0555-0127)
- Nancy Blythe
- Kayla L. Stratton (ORCID: https://orcid.org/0000-0002-5201-4565)
- Eric J. Chow (ORCID: https://orcid.org/0000-0003-3349-9330)
- Paul Craig Nathan (ORCID: https://orcid.org/0000-0003-0334-0871)
- Lahari Gorantla
- Aarti Bhat (ORCID: https://orcid.org/0000-0002-6214-489X)
- Saro H. Armenian (ORCID: https://orcid.org/0000-0003-2604-8603)
- Shanti Narasimhan (ORCID: https://orcid.org/0000-0001-9065-3651)
- Karim Thomas Sadak (ORCID: https://orcid.org/0000-0002-4511-5456)
- Wendy M. Leisenring (ORCID: https://orcid.org/0000-0001-7405-0906)
- Patrick M. Boyle (ORCID: https://orcid.org/0000-0001-9048-1239)
- Sujatha Buddhe (ORCID: https://orcid.org/0000-0001-8709-4051)
- Kasey J. Leger (ORCID: https://orcid.org/0000-0002-7905-6714)
- Zih-Hua Chen
- Lillian R. Meacham (ORCID: https://orcid.org/0000-0003-4394-0070)
- Christina J. Yang (ORCID: https://orcid.org/0000-0002-2905-020X)
- Nahom Wondwossen Worku
- Surbhi Sharma (ORCID: https://orcid.org/0000-0002-6429-0743)
- Nicolas J. Longhi
- Brandy Martinez Di Pietro
- Jamie S. Yang
Institutions
- Seattle Children's Hospital (US)
- Children's National (US)
- Emory University (US)
- University of Toronto (CA)
- California Institute for Regenerative Medicine (US)
- University of Washington (US)
- Hospital for Sick Children (CA)
- Fred Hutch Cancer Center (US)
- City of Hope (US)
- Duke Medical Center (US)
- University of Minnesota Children's Hospital (US)
- Stanford University (US)
Publication Details
- Journal
- Cardio-Oncology
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1186/s40959-024-00268-4
- Citations
- 2
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- Rally Foundation
- Seattle Children's Research Institute