Finding/identifying primaries with neck disease (FIND) clinical trial protocol: a study integrating transoral robotic surgery, histopathological localisation and tailored deintensification of radiotherapy for unknown primary and small oropharyngeal head and neck squamous cell carcinoma.

Clicks: 334
ID: 76659
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Carcinomas of unknown primary site (CUP) of the head and neck have historically been worked up and managed heterogeneously. Failure to identify a primary site may result in large radiotherapy mucosal volumes. Transoral approaches such as Transoral Robotic Surgery (TORS) may improve the yield of identifying hidden primaries. We aim to assess the oncological and functional outcomes of a combined treatment approach with TORS and tailored radiotherapy.Twenty-five patients with metastatic squamous cell carcinoma to the neck without clinical or radiographic evidence of a primary site will be enrolled in a phase II trial. Patients will undergo a diagnostic or therapeutic approach with TORS based on specific algorithms incorporating tailored radiotherapy according to the location and laterality of the primary tumour. The primary outcome is to evaluate the out-of-field failure rate over a 2-year period. Secondary outcomes include identification rates, survival outcomes, patient reported outcomes and functional swallowing outcomes.The University Health Network Research Ethics Board approved this study (ID 15-9767). The results will be published in an open access journal.NCT03281499.
Reference Key
de-almeida2019findingidentifyingbmj Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors de Almeida, John R;Noel, Christopher W;Veigas, Maria;Martino, Rosemary;Chepeha, Douglas B;Bratman, Scott V;Goldstein, David P;Hansen, Aaron R;Yu, Eugene;Metser, Ur;Weinreb, Ilan;Perez-Ordonez, Bayardo;Xu, Wei;Kim, John;
Journal BMJ open
Year 2019
DOI 10.1136/bmjopen-2019-035431
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.