Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs
The aim of this study was to evaluate whether textural analysis could differentiate between the two common types of lytic lesions imaged with use of radiography. Sixty-two patients were enrolled in the study with intraoral radiograph images and a histological reference study. Full textural analysis...
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MDPI AG
2021-11-01
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author | Elżbieta Pociask Karolina Nurzynska Rafał Obuchowicz Paulina Bałon Daniel Uryga Michał Strzelecki Andrzej Izworski Adam Piórkowski |
author_facet | Elżbieta Pociask Karolina Nurzynska Rafał Obuchowicz Paulina Bałon Daniel Uryga Michał Strzelecki Andrzej Izworski Adam Piórkowski |
author_sort | Elżbieta Pociask |
collection | DOAJ |
description | The aim of this study was to evaluate whether textural analysis could differentiate between the two common types of lytic lesions imaged with use of radiography. Sixty-two patients were enrolled in the study with intraoral radiograph images and a histological reference study. Full textural analysis was performed using MaZda software. For over 10,000 features, logistic regression models were applied. Fragments containing lesion edges were characterized by significant correlation of structural information. Although the input images were stored using lossy compression and their scale was not preserved, the obtained results confirmed the possibility of distinguishing between cysts and granulomas with use of textural analysis of intraoral radiographs. It was shown that the important information distinguishing the aforementioned types of lesions is located at the edges and not within the lesion. |
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issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T05:04:52Z |
publishDate | 2021-11-01 |
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series | Sensors |
spelling | doaj.art-38b6a419283f4af6ab805bc7d67e2c1e2023-11-23T01:24:02ZengMDPI AGSensors1424-82202021-11-012122748110.3390/s21227481Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral RadiographsElżbieta Pociask0Karolina Nurzynska1Rafał Obuchowicz2Paulina Bałon3Daniel Uryga4Michał Strzelecki5Andrzej Izworski6Adam Piórkowski7Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, PolandDepartment of Algorithmics and Software, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Diagnostic Imaging, Medical College, Jagiellonian University, 31-501 Krakow, PolandDepartment of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, PolandDepartment of Oral Surgery, Medical College, Jagiellonian University, 31-155 Krakow, PolandInstitute of Electronics, Lodz University of Technology, 93-590 Lodz, PolandDepartment of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, PolandDepartment of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, 30-059 Krakow, PolandThe aim of this study was to evaluate whether textural analysis could differentiate between the two common types of lytic lesions imaged with use of radiography. Sixty-two patients were enrolled in the study with intraoral radiograph images and a histological reference study. Full textural analysis was performed using MaZda software. For over 10,000 features, logistic regression models were applied. Fragments containing lesion edges were characterized by significant correlation of structural information. Although the input images were stored using lossy compression and their scale was not preserved, the obtained results confirmed the possibility of distinguishing between cysts and granulomas with use of textural analysis of intraoral radiographs. It was shown that the important information distinguishing the aforementioned types of lesions is located at the edges and not within the lesion.https://www.mdpi.com/1424-8220/21/22/7481texture featuresclassificationperiapical lesionsintraoral radiographytSNEgranulomas |
spellingShingle | Elżbieta Pociask Karolina Nurzynska Rafał Obuchowicz Paulina Bałon Daniel Uryga Michał Strzelecki Andrzej Izworski Adam Piórkowski Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs Sensors texture features classification periapical lesions intraoral radiography tSNE granulomas |
title | Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs |
title_full | Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs |
title_fullStr | Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs |
title_full_unstemmed | Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs |
title_short | Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs |
title_sort | differential diagnosis of cysts and granulomas supported by texture analysis of intraoral radiographs |
topic | texture features classification periapical lesions intraoral radiography tSNE granulomas |
url | https://www.mdpi.com/1424-8220/21/22/7481 |
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