Automated Lymph Node and Extranodal Extension Assessment Improves Risk Stratification in Oropharyngeal Carcinoma
Automated, AI-ENE node number is a novel risk factor for OPC that may better inform pretreatment risk stratification and decision-making.
Authors
- Yining Zha (ORCID: https://orcid.org/0009-0000-7653-3223)
- Benjamin Haibe‐Kains (ORCID: https://orcid.org/0000-0002-7684-0079)
- Benjamin H. Kann (ORCID: https://orcid.org/0000-0002-4313-2754)
- Barbara Ann Burtness (ORCID: https://orcid.org/0000-0003-4660-1859)
- Anna Zapaishchykova (ORCID: https://orcid.org/0000-0001-6860-9160)
- Reza Mojahed-Yazdi
- John Zielke
- Roy B. Tishler (ORCID: https://orcid.org/0000-0002-0012-6055)
- R. Uppaluri
- Danielle N. Margalit (ORCID: https://orcid.org/0000-0002-8281-0829)
- Zezhong Ye (ORCID: https://orcid.org/0000-0003-0369-7432)
- Divyanshu Tak
- Maryam Mahootiha
- Christian V. Guthier
- Juan Carlos Pardo
- Clifton D. Fuller
- Frank Hoebers
- Mohamed Naser
- Robert I. Haddad
- Hugo J.W.L. Aerts
- Jonathan D. Schoenfeld
Institutions
- Brigham and Women's Hospital (US)
- University Health Network (CA)
- The University of Texas MD Anderson Cancer Center (US)
- Harvard University (US)
- Yale Cancer Center (US)
- Maastricht University (NL)
- Dana-Farber Cancer Institute (US)
- Maastro Clinic (NL)
- Dana-Farber Brigham Cancer Center (US)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Journal of Clinical Oncology
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1200/jco-24-02679
- Citations
- 1
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.85