Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst
Abstract The differentiation between ameloblastoma (AB) and odontogenic keratocyst (OKC) is essential for the formulation of the surgical plan, especially considering the biological behavior of these two pathological entities. Therefore, developing means to increase the accuracy of the diagnostic pr...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-20802-7 |
| _version_ | 1797986868791345152 |
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| author | João Pedro Perez Gomes Celso Massahiro Ogawa Rafael V. Silveira Gabriela Castellano Catharina Simioni De Rosa Clarissa Lin Yasuda André Caroli Rocha Bengt Hasseus Kaan Orhan Paulo Henrique Braz-Silva Andre Luiz Ferreira Costa |
| author_facet | João Pedro Perez Gomes Celso Massahiro Ogawa Rafael V. Silveira Gabriela Castellano Catharina Simioni De Rosa Clarissa Lin Yasuda André Caroli Rocha Bengt Hasseus Kaan Orhan Paulo Henrique Braz-Silva Andre Luiz Ferreira Costa |
| author_sort | João Pedro Perez Gomes |
| collection | DOAJ |
| description | Abstract The differentiation between ameloblastoma (AB) and odontogenic keratocyst (OKC) is essential for the formulation of the surgical plan, especially considering the biological behavior of these two pathological entities. Therefore, developing means to increase the accuracy of the diagnostic process is extremely important for a safe treatment. The aim of this study was to use magnetic resonance imaging (MRI) based on texture analysis (TA) as an aid in differentiating AB from OKC. This study comprised 18 patients; eight patients with AB and ten with OKC. All diagnoses were determined through incisional biopsy and later through histological examination of the surgical specimen. MRI was performed using a 3 T scanner with a neurovascular coil according to a specific protocol. All images were exported to segmentation software in which the volume of interest (VOI) was determined by a radiologist, who was blind to the histopathological results. Next, the textural parameters were computed by using the MATLAB software. Spearman's correlation coefficient was used to assess the correlation between texture parameters and the selected variables. Differences in TA parameters were compared between AB and OKC by using the Mann–Whitney test. Mann–Whitney test showed a statistically significant difference between AB and OKC for the parameters entropy (P = 0.033) and sum average (P = 0.033). MRI texture analysis has the potential to discriminate between AB and OKC as a noninvasive method. MRI texture analysis can be an additional tool to differentiate ameloblastoma from odontogenic keratocyst. |
| first_indexed | 2024-04-11T07:39:48Z |
| format | Article |
| id | doaj.art-91c7334385694e68ae3a13657e907a72 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T07:39:48Z |
| publishDate | 2022-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-91c7334385694e68ae3a13657e907a722022-12-22T04:36:38ZengNature PortfolioScientific Reports2045-23222022-11-011211910.1038/s41598-022-20802-7Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocystJoão Pedro Perez Gomes0Celso Massahiro Ogawa1Rafael V. Silveira2Gabriela Castellano3Catharina Simioni De Rosa4Clarissa Lin Yasuda5André Caroli Rocha6Bengt Hasseus7Kaan Orhan8Paulo Henrique Braz-Silva9Andre Luiz Ferreira Costa10Department of Stomatology, Division of General Pathology, School of Dentistry, University of São Paulo (USP)Postgraduate Program in Dentistry, Cruzeiro Do Sul University (UNICSUL)Institute of Physics Gleb Wataghin, University of Campinas (UNICAMP)Institute of Physics Gleb Wataghin, University of Campinas (UNICAMP)Department of Stomatology, Division of General Pathology, School of Dentistry, University of São Paulo (USP)Brazilian Institute of Neuroscience and Neurotechnology (BRAINN)Division of Dentistry, Clinics Hospital of School of Medicine, USPDepartment of Oral Medicine and Pathology, Institute of Odontology, The Sahlgrenska Academy, University of GothenburgDepartment of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara UniversityDepartment of Stomatology, Division of General Pathology, School of Dentistry, University of São Paulo (USP)Postgraduate Program in Dentistry, Cruzeiro Do Sul University (UNICSUL)Abstract The differentiation between ameloblastoma (AB) and odontogenic keratocyst (OKC) is essential for the formulation of the surgical plan, especially considering the biological behavior of these two pathological entities. Therefore, developing means to increase the accuracy of the diagnostic process is extremely important for a safe treatment. The aim of this study was to use magnetic resonance imaging (MRI) based on texture analysis (TA) as an aid in differentiating AB from OKC. This study comprised 18 patients; eight patients with AB and ten with OKC. All diagnoses were determined through incisional biopsy and later through histological examination of the surgical specimen. MRI was performed using a 3 T scanner with a neurovascular coil according to a specific protocol. All images were exported to segmentation software in which the volume of interest (VOI) was determined by a radiologist, who was blind to the histopathological results. Next, the textural parameters were computed by using the MATLAB software. Spearman's correlation coefficient was used to assess the correlation between texture parameters and the selected variables. Differences in TA parameters were compared between AB and OKC by using the Mann–Whitney test. Mann–Whitney test showed a statistically significant difference between AB and OKC for the parameters entropy (P = 0.033) and sum average (P = 0.033). MRI texture analysis has the potential to discriminate between AB and OKC as a noninvasive method. MRI texture analysis can be an additional tool to differentiate ameloblastoma from odontogenic keratocyst.https://doi.org/10.1038/s41598-022-20802-7 |
| spellingShingle | João Pedro Perez Gomes Celso Massahiro Ogawa Rafael V. Silveira Gabriela Castellano Catharina Simioni De Rosa Clarissa Lin Yasuda André Caroli Rocha Bengt Hasseus Kaan Orhan Paulo Henrique Braz-Silva Andre Luiz Ferreira Costa Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst Scientific Reports |
| title | Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst |
| title_full | Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst |
| title_fullStr | Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst |
| title_full_unstemmed | Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst |
| title_short | Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst |
| title_sort | magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst |
| url | https://doi.org/10.1038/s41598-022-20802-7 |
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