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Intraoperative delineation of p16+ oropharyngeal carcinoma of unknown primary origin with fluorescence lifetime imaging: Preliminary report.
Weyers, Brent W; Birkeland, Andrew C; Marsden, Mark A; Tam, Athena; Bec, Julien; Frusciante, Roberto P; Gui, Dorina; Bewley, Arnaud F; Abouyared, Marianne; Marcu, Laura; Farwell, Donald Gregory.
Afiliação
  • Weyers BW; Department of Biomedical Engineering, University of California, Davis, Davis, California, USA.
  • Birkeland AC; Department of Otolaryngology - Head & Neck Surgery, University of California, Davis, Davis, California, USA.
  • Marsden MA; Department of Biomedical Engineering, University of California, Davis, Davis, California, USA.
  • Tam A; Department of Biomedical Engineering, University of California, Davis, Davis, California, USA.
  • Bec J; Department of Biomedical Engineering, University of California, Davis, Davis, California, USA.
  • Frusciante RP; Department of Biomedical Engineering, University of California, Davis, Davis, California, USA.
  • Gui D; Department of Pathology and Laboratory Medicine, University of California, Davis, Davis, California, USA.
  • Bewley AF; Department of Otolaryngology - Head & Neck Surgery, University of California, Davis, Davis, California, USA.
  • Abouyared M; Department of Otolaryngology - Head & Neck Surgery, University of California, Davis, Davis, California, USA.
  • Marcu L; Department of Biomedical Engineering, University of California, Davis, Davis, California, USA.
  • Farwell DG; Department of Otolaryngology - Head & Neck Surgery, University of California, Davis, Davis, California, USA.
Head Neck ; 44(8): 1765-1776, 2022 08.
Article em En | MEDLINE | ID: mdl-35511208
ABSTRACT

BACKGROUND:

This study evaluated whether fluorescence lifetime imaging (FLIm), coupled with standard diagnostic workups, could enhance primary lesion detection in patients with p16+ head and neck squamous cell carcinoma of the unknown primary (HNSCCUP).

METHODS:

FLIm was integrated into transoral robotic surgery to acquire optical data on six HNSCCUP patients' oropharyngeal tissues. An additional 55-patient FLIm dataset, comprising conventional primary tumors, trained a machine learning classifier; the output predicted the presence and location of HNSCCUP for the six patients. Validation was performed using histopathology.

RESULTS:

Among the six HNSCCUP patients, p16+ occult primary was surgically identified in three patients, whereas three patients ultimately had no identifiable primary site in the oropharynx. FLIm correctly detected HNSCCUP in all three patients (ROC-AUC 0.90 ± 0.06), and correctly predicted benign oropharyngeal tissue for the remaining three patients. The mean sensitivity was 95% ± 3.5%, and specificity 89% ± 12.7%.

CONCLUSIONS:

FLIm may be a useful diagnostic adjunct for detecting HNSCCUP.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Primárias Desconhecidas / Carcinoma de Células Escamosas / Neoplasias Orofaríngeas / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: Head Neck Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Primárias Desconhecidas / Carcinoma de Células Escamosas / Neoplasias Orofaríngeas / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: Head Neck Assunto da revista: NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos