Título:
Algorithmic analysis of the structure of mixed odontogenic tumors.
Otros títulos:
Coordinador:
Director:
Compilador:
Autor:
Pereira-Prado, Vanesa
Sicco, Estefanía
Silveira, Felipe Martins
Schuch, Lauren Frenzel
Hunter, Keith
Niklander, Sven E.
Tilakaratne, Wanninayake Mudiyanselage
Gomez, Ricardo Santiago
Landini, Gabriel
Bologna-Molina, Ronell
Sicco, Estefanía
Silveira, Felipe Martins
Schuch, Lauren Frenzel
Hunter, Keith
Niklander, Sven E.
Tilakaratne, Wanninayake Mudiyanselage
Gomez, Ricardo Santiago
Landini, Gabriel
Bologna-Molina, Ronell
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Tumores odontogénicos mixtos
Tumor odontogénico primordial
Fibroma ameloblástico
Análisis algorítmico
Tumor odontogénico primordial
Fibroma ameloblástico
Análisis algorítmico
Descriptores:
TUMORES ODONTOGENICOS
GERMEN DENTARIO
GERMEN DENTARIO
Año de publicación:
2026
Contenido:
Resumen:
Aims: This study aims to characterize the histomorphology of mixed odontogenic tumors, using mathematical morphology algorithms applied to digital images. Methods: Five cases of primordial odontogenic tumor (POT), 5 cases of ameloblastic fibroma, 5 cases of developing odontoma (DO), and 5 cases of tooth germs (TG) were analyzed. Histological sections stained with Haematoxylin & Eosin were digitized and the epithelial compartments were segmented into ‘virtual cells’ to further characterize the tissue compartment architecture. Results: A comparison of the mean area of virtual epithelial cells in the entities investigated showed that, despite data distribution between the entities being similar, statistically significant differences (p<0.001) were found, being larger for DO and smaller for AF. Additionally, DO exhibits a broader data distribution of the area compared to the other entities. Significant differences were not found between TG and POT without subepithelial condensation. Conclusions: Quantitative tissue analysis showed that, in focal areas, POT more closely resembles TG than other mixed odontogenic tumors. These findings suggest that virtual cell–based morphometric analysis may provide complementary quantitative information in diagnostically challenging cases, although validation in larger datasets is required.
Descripción:
Article in press.
metadata.articulos.dc.description.uri:
Editorial:
Springer Nature
EN:
Scientific Reports, 2026.
Financiadores:
Citación:
Pereira-Prado, V, Sicco, E, Silveira, F, y otros "Algorithmic analysis of the structure of mixed odontogenic tumors". Scientific Reports. [en línea] 2026
Citación:
metadata.articulos.cc.license.name:
ISBN:
e-ISBN:
ISSN:
2045-2322
ISMN:
Otros identificadores:
Cobertura geográfica:
Cobertura temporal:
Departamento académico:
Grupo de investigación:
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| 101038s41598026383996 (1).pdf | — | 8.28 MB | Adobe PDF |