Faculty, Staff and Student Publications

Language

English

Publication Date

7-1-2024

Journal

Oral Surgery, Oral Medicine, Oral Pathology, and Oral Radiology

DOI

10.1016/j.oooo.2024.04.003

PMID

38755071

PMCID

PMC13159439

PubMedCentral® Posted Date

5-12-2026

PubMedCentral® Full Text Version

Author MSS

Abstract

Objective: A small fraction of oral lichenoid conditions (OLC) have potential for malignant transformation. Distinguishing OLCs from other oral potentially malignant disorders (OPMDs) can help prevent unnecessary concern or testing, but accurate identification by nonexpert clinicians is challenging due to overlapping clinical features. In this study, the authors developed a 'cytomics-on-a-chip' tool and integrated predictive model for aiding the identification of OLCs.

Study design: All study subjects underwent both scalpel biopsy for histopathology and brush cytology. A predictive model and OLC Index comprising clinical, demographic, and cytologic features was generated to discriminate between subjects with lichenoid (OLC+) (N = 94) and nonlichenoid (OLC-) (N = 237) histologic features in a population with OPMDs.

Results: The OLC Index discriminated OLC+ and OLC- subjects with area under the curve (AUC) of 0.76. Diagnostic accuracy of the OLC Index was not significantly different from expert clinician impressions, with AUC of 0.81 (P = .0704). Percent agreement was comparable across all raters, with 83.4% between expert clinicians and histopathology, 78.3% between OLC Index and expert clinician, and 77.3% between OLC Index and histopathology.

Conclusions: The cytomics-on-a-chip tool and integrated diagnostic model have the potential to facilitate both the triage and diagnosis of patients presenting with OPMDs and OLCs.

Keywords

Humans, Female, Male, Middle Aged, Diagnosis, Differential, Lichen Planus, Oral, Biopsy, Aged, Risk Assessment, Precancerous Conditions, Lab-On-A-Chip Devices, Adult, Mouth Neoplasms

Published Open-Access

yes

Included in

Dentistry Commons

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.