Objective
The standard of care for premalignant lesion risk assessment is dysplasia grading
by histopathology. With significant overlap between dysplasia grades and high inter-
and intraobserver variations, histopathology dysplasia grading alone is not a useful
prognostic tool. Our aim is to investigate whether a method for quantitatively assessing
S100A7, a prognostic biomarker, using image analysis can better predict clinical outcome
in cases with oral dysplasia.
Study Design
Using the Visiopharm image analysis system, we analyzed a cohort of 150 oral biopsy
samples to build and test Straticyte, a model for individualized assessment of the
5-year risk of progression of oral precancerous lesions to invasive squamous cell
carcinomas.
Results
Straticyte classified lesions more accurately than histopathological dysplasia grading
for risk to progression to cancer over the following 5 years. The sensitivity of low-risk
versus intermediate- and high-risk Straticyte groups was 95% compared to 75% for mild
versus moderate and severe dysplasia. Furthermore, the negative predictive value for
low-risk versus intermediate- and high-risk Straticyte groups was 78% compared to
59% for mild versus moderate and severe dysplasia.
Conclusion
By quantitatively assessing S100A7, Straticyte better defines the risk for developing
oral squamous cell carcinoma than histopathological dysplasia grading alone.
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Article info
Publication history
Published online: November 22, 2016
Accepted:
November 13,
2016
Received in revised form:
November 3,
2016
Received:
May 6,
2016
Identification
Copyright
© 2016 Elsevier Inc. All rights reserved.
