BA-ECM Score
We present the application of an automated ECM ultrastructure analysis tool designed to capture and quantify 147 aspects of fibrotic tissue heterogeneity. These manifold features are summarized using a multi-dimensional BA-ECM score that could be used to prognosticate disease course for BA patients.
Authors
- Gillian L. Fell (ORCID: https://orcid.org/0000-0001-9595-2730)
- Stephanie D. Chao (ORCID: https://orcid.org/0000-0003-0139-8551)
- Jason L. Guo (ORCID: https://orcid.org/0000-0002-7264-2614)
- Michael Januszyk (ORCID: https://orcid.org/0000-0002-0313-0973)
- Serena Y. Tan (ORCID: https://orcid.org/0000-0001-5409-0695)
- Norah E. Liang (ORCID: https://orcid.org/0000-0002-4596-5717)
- Amrita Narang (ORCID: https://orcid.org/0000-0002-1708-8067)
- James Dunn (ORCID: https://orcid.org/0000-0002-6826-7065)
- Jeong S. Hyun (ORCID: https://orcid.org/0000-0002-6458-7803)
- Khristian Erich Bauer-Rowe (ORCID: https://orcid.org/0000-0002-6438-407X)
- Michelle Griffin (ORCID: https://orcid.org/0000-0002-2027-547X)
- Michael T. Longaker
Institutions
- Massachusetts General Hospital (US)
- Stanford University (US)
Publication Details
- Journal
- Annals of Surgery
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1097/sla.0000000000006698
- Primary Topic
- Pediatric Hepatobiliary Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00