Digital mapping of resected cancer specimens: The visual pathology report
We establish the feasibility of a novel visual pathology report that includes an annotated visual model of the resected cancer specimen in place of lengthy written text of standard of care head and neck cancer pathology reports.
Authors
- James S. Lewis (ORCID: https://orcid.org/0000-0001-9002-1283)
- Mitra Mehrad (ORCID: https://orcid.org/0000-0003-4180-8180)
- Robert J. Sinard (ORCID: https://orcid.org/0000-0001-9348-2165)
- Michael C. Topf (ORCID: https://orcid.org/0000-0002-1022-4417)
- Sarah L. Rohde (ORCID: https://orcid.org/0000-0003-4353-5745)
- Alexander Langerman (ORCID: https://orcid.org/0000-0003-0866-463X)
- Alexander Perez (ORCID: https://orcid.org/0000-0001-5699-9501)
- Kyle Mannion (ORCID: https://orcid.org/0000-0001-9391-1791)
- Eben Lloyd Rosenthal (ORCID: https://orcid.org/0000-0003-0294-5203)
- Carly Fassler (ORCID: https://orcid.org/0000-0001-8085-7917)
- Marina Aweeda (ORCID: https://orcid.org/0000-0001-9360-9592)
- Jie Ying Wu (ORCID: https://orcid.org/0000-0002-7306-8140)
- Kim Ely
- Yuna Chung
- Spencer Yueh
Institutions
- Vanderbilt University (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of Pathology Informatics
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1016/j.jpi.2024.100399
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.69
Funders
- American Academy of Otolaryngology-Head and Neck Surgery
- Vanderbilt University
- Vanderbilt-Ingram Cancer Center
- American Head and Neck Society
- National Institutes of Health
- National Cancer Institute
- National Institute on Deafness and Other Communication Disorders