Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy
ABSTRACT Purpose To evaluate the retinal blood vascular network of the retinographies of patients with different grades of diabetic retinopathy. Methods Ninety Retinographies (MESSIDOR database) were used, with different grades of diabetic retinopathy divided into 4 groups: no retinopathy (n=23)...
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Oftalmologia
2022-10-01
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| Series: | Revista Brasileira de Oftalmologia |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-72802022000100229&tlng=en |
| _version_ | 1811194474619994112 |
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| author | Edbhergue Ventura Lola Costa Victor Felipe da Silva Araújo Romildo de Albuquerque Nogueira |
| author_facet | Edbhergue Ventura Lola Costa Victor Felipe da Silva Araújo Romildo de Albuquerque Nogueira |
| author_sort | Edbhergue Ventura Lola Costa |
| collection | DOAJ |
| description | ABSTRACT Purpose To evaluate the retinal blood vascular network of the retinographies of patients with different grades of diabetic retinopathy. Methods Ninety Retinographies (MESSIDOR database) were used, with different grades of diabetic retinopathy divided into 4 groups: no retinopathy (n=23), grade one (n=20), grade two (n=20) and grade three (n=27) diabetic retinopathy. The grades of diabetic retinopathy were classified according to the number of microaneurysms, number of hemorrhages and the presence of neovascularization. The images were skeletonized and quantified by fractal methods: dimension of box-counting (Dbc) and information (Dinf). Results The means of Dbc values of groups were around 1.25, without statistically significant difference in the dimension values between groups for whole retina. There was also no statistical difference in Dinf values between groups, whose means ranged between 1.294 ± 0.013 (group of grade 1) and 1.3 ± 0.017 (group of grade 3). The retinographies were divided into regions of equal areas. The fractal values of some retinal regions showed statistical differences, but these differences were not enough to show the sensitivity of fractal methods in identifying diabetic retinopathy. Conclusion The fractal methods were not able to identify the different grades of diabetic retinopathy in retinographies. |
| first_indexed | 2024-04-12T00:27:52Z |
| format | Article |
| id | doaj.art-6c8601cbf4e34484b223a1f0920f9824 |
| institution | Directory Open Access Journal |
| issn | 1982-8551 |
| language | English |
| last_indexed | 2024-04-12T00:27:52Z |
| publishDate | 2022-10-01 |
| publisher | Sociedade Brasileira de Oftalmologia |
| record_format | Article |
| series | Revista Brasileira de Oftalmologia |
| spelling | doaj.art-6c8601cbf4e34484b223a1f0920f98242022-12-22T03:55:28ZengSociedade Brasileira de OftalmologiaRevista Brasileira de Oftalmologia1982-85512022-10-018110.37039/1982.8551.20220060Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathyEdbhergue Ventura Lola Costahttps://orcid.org/0000-0003-3374-2476Victor Felipe da Silva Araújohttps://orcid.org/0000-0003-1417-5744Romildo de Albuquerque Nogueirahttps://orcid.org/0000-0001-5582-4865ABSTRACT Purpose To evaluate the retinal blood vascular network of the retinographies of patients with different grades of diabetic retinopathy. Methods Ninety Retinographies (MESSIDOR database) were used, with different grades of diabetic retinopathy divided into 4 groups: no retinopathy (n=23), grade one (n=20), grade two (n=20) and grade three (n=27) diabetic retinopathy. The grades of diabetic retinopathy were classified according to the number of microaneurysms, number of hemorrhages and the presence of neovascularization. The images were skeletonized and quantified by fractal methods: dimension of box-counting (Dbc) and information (Dinf). Results The means of Dbc values of groups were around 1.25, without statistically significant difference in the dimension values between groups for whole retina. There was also no statistical difference in Dinf values between groups, whose means ranged between 1.294 ± 0.013 (group of grade 1) and 1.3 ± 0.017 (group of grade 3). The retinographies were divided into regions of equal areas. The fractal values of some retinal regions showed statistical differences, but these differences were not enough to show the sensitivity of fractal methods in identifying diabetic retinopathy. Conclusion The fractal methods were not able to identify the different grades of diabetic retinopathy in retinographies.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-72802022000100229&tlng=enFractal dimensionDiabetic retinopathyVascular networkRetinographySkeletonizationBox-counting and information dimension |
| spellingShingle | Edbhergue Ventura Lola Costa Victor Felipe da Silva Araújo Romildo de Albuquerque Nogueira Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy Revista Brasileira de Oftalmologia Fractal dimension Diabetic retinopathy Vascular network Retinography Skeletonization Box-counting and information dimension |
| title | Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy |
| title_full | Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy |
| title_fullStr | Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy |
| title_full_unstemmed | Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy |
| title_short | Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy |
| title_sort | fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy |
| topic | Fractal dimension Diabetic retinopathy Vascular network Retinography Skeletonization Box-counting and information dimension |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-72802022000100229&tlng=en |
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