MedPath

Optical Imaging of Head and Neck Cancer

Not Applicable
Terminated
Conditions
Head and Neck Cancer
Neoplasia
Squamous Cell Carcinoma
Registration Number
NCT01456143
Lead Sponsor
Sharmila Anandasabapathy, MD
Brief Summary

This study examines if certain imaging techniques and devices can aid the surgeon in detecting cancer during the surgical procedure.

Detailed Description

The purpose of this study is to determine if optical imaging modalities used at the time of surgical resection for head and neck squamous cell carcinoma can help delineate normal from cancerous mucosa. The High resolution microendoscope, developed by our collaborators at Rice university, can allow for real time visualization of tissue nuclei. The overall aim of this study is to determine if this device can be used to enhance the accuracy of intraoperative margin detection during tumor resection for head and neck cancer.

At the time of tumor resection for head and neck squamous cell carcinoma, a wide field imaging device will be used to identify suspicious areas. The High resolution device will then image representative areas from the tumor, the tumor margin, and normal mucosa. A topical dye, proflavin, will be placed on the tissue to enhance the visualization of nuclei prior to imaging with the HRME device. Following imaging, biopsies of the imaged areas will be taken and submitted for pathology diagnosis. The images of the biopsies will then be compared and the device will be evaluated for accuracy of margin detection at the time of tumor resection.

Recruitment & Eligibility

Status
TERMINATED
Sex
All
Target Recruitment
33
Inclusion Criteria
  • Biopsy Proven Squamous Cell Carcinoma of the oral cavity, oropharynx, larynx, hypopharynx
  • Must be receiving surgical treatment for their cancer
Exclusion Criteria
  • Presence of medical or psychiatric condition affecting the ability to give informed consent
  • Known allergy to Proflavin
  • Pregnant or nursing Females

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Primary Outcome Measures
NameTimeMethod
SpecificityImmediately following image (day of enrollment or up to 2 weeks after enrollment)

Specificity = Probability that the HRME correctly classifies as negative those without neoplasia compared to pathology results

Positive Predictive ValueImmediately following image (day of enrollment or up to 2 weeks after enrollment)

PPV = proportion of those with a positive test who have neoplasia compared to pathology results

Negative Predictive ValueImmediately following image (day of enrollment or up to 2 weeks after enrollment)

NPV = proportion of those with a negative test without neoplasia compared to pathology results

AccuracyImmediately following image (day of enrollment or up to 2 weeks after enrollment)

Accuracy of reviewers in differentiating neoplastic or benign mucosa in comparison to the pathology results

Interrater ReliabilityImmediately following image (day of enrollment or up to 2 weeks after enrollment)

Amount of agreement among the 11 blinded head and neck cancer specialists, determined by the Fleiss Kappa. 33 benign and 65 cancer images were evaluated by the reviewers who were blinded to the anatomical site, tumor subsite, and final histopathologic diagnosis. Each reviewer was asked to classify each image as benign or neoplastic. The reviewers evaluated the images based on nuclear size, nuclear to cytoplasmic ratio, and overall cell architecture. Images were randomized in their presentation to the reviewers as to not establish any pattern. Each reviewer provided their interpretation in isolated settings to avoid influence from other reviewers.

SensitivityImmediately following image (day of enrollment or up to 2 weeks after enrollment)

Sensitivity = probability that the HRME correctly classifies as positive those with neoplasia compared to pathology results

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Icahn School of Medicine at Mount Sinai

🇺🇸

New York, New York, United States

Icahn School of Medicine at Mount Sinai
🇺🇸New York, New York, United States

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.