Objective
This study assessed the diagnostic efficacy of apparent diffusion coefficient (ADC),
texture features, and their combination for the differential diagnosis of odontogenic
cysts and tumors with cyst-like features.
Study Design
In total, 14 dentigerous cysts (DCs), 12 odontogenic keratocysts (OKCs), and 6 unicystic
ameloblastomas (UABs) were used as predictor variables in 32 outpatients who underwent
magnetic resonance imaging. The outcome variables were ADC, texture features, and
their combination for each lesion. Texture features including histogram and gray-level
co-occurrence matrix (GLCM) were measured on ADC maps. Ten features were selected
by using the Fisher coefficient method. The Kruskal-Wallis test and post hoc Mann-Whitney
test with Bonferroni adjustment were used to analyze trivariate statistics. Statistical
significance was established at P < .05. Receiver operating characteristic analysis was used to evaluate the diagnostic
effect of ADC, texture features, and their combination in distinguishing the lesions
from each other.
Results
Apparent diffusion coefficient, 1 histogram feature, 9 GLCM features, and their combination
demonstrated significant differences between DC, OKC, and UAB (P ≤ .01). Receiver operating characteristic analysis revealed a high area under the
curve of .95 to 1.00 for ADC, 10 texture features, and their combination. Sensitivity,
specificity, and accuracy ranged from .86 to 1.00.
Conclusions
Apparent diffusion coefficient and texture features, alone or in combination, can
be clinically important in facilitating the distinction between these odontogenic
lesions.
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Article info
Publication history
Published online: January 31, 2023
Accepted:
January 21,
2023
Received in revised form:
December 30,
2022
Received:
November 9,
2022
Publication stage
In Press Journal Pre-ProofIdentification
Copyright
© 2023 Elsevier Inc. All rights reserved.
