Publicação
Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging
| Resumo: | This paper presents a novel image analysis strategy that increases the potential of macular Optical Coherence Tomography (OCT) by using speckle features as biomarkers in different stages of glaucoma. A large pool of features (480) were computed for a subset of macular OCT volumes of the Leuven eye study cohort. The dataset contained 258 subjects that were divided into four groups based on their glaucoma severity: Healthy (56), Mild (94), Moderate (48), and Severe (60). The OCT speckle features were categorized as statistical properties, statistical distributions, contrast, spatial gray-level dependence matrices, and frequency domain features. The averaged thicknesses of ten retinal layers were also collected. Kruskal-Wallis H test and multivariable regression models were used to infer the most significant features related to glaucoma severity classification and to the correlation with visual field mean deviation. Four features were selected as being the most relevant: the ganglion cell layer (GCL) and the inner plexiform layer (IPL) thicknesses, and two OCT speckle features, the data skewness computed on the retinal nerve fiber layer (RNFL) and the scale parameter (a) of the generalized gamma distribution fitted to the GCL data. Based on a significance level of 0.05, the regression models revealed that RNFL skewness exhibited the highest significance among the features considered for glaucoma severity staging (p-values of 8.6×10-6 for the logistic model and 2.8×10-7 for the linear model). Furthermore, it demonstrated a strong negative correlation with the visual field mean deviation (ρ=-0.64). The post hoc analysis revealed that, when distinguishing healthy controls from glaucoma subjects, GCL thickness is the most relevant feature (p-value of 8.7×10-5). Conversely, when comparing the Mild versus Moderate stages of glaucoma, RNFL skewness emerged as the only feature exhibiting statistical significance (p-value = 0.001). This work shows that macular OCT speckle contains information that is currently not used in clinical practice, and not only complements structural measurements (thickness) but also has a potential for glaucoma staging. |
|---|---|
| Autores principais: | Vaz, Pedro G. |
| Outros Autores: | Brea, Luisa Sanchez; Silva, Vânia Bastos; van Eijgen, Jan; Stalmans, Ingeborg; Cardoso, João; van Walsum, Theo; Klein, Stefan; Barbosa Breda, João; Andrade De Jesus, Danilo |
| Assunto: | OCT Speckle Glaucoma Staging |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Coimbra |
| Idioma: | inglês |
| Origem: | Estudo Geral - Universidade de Coimbra |
| _version_ | 1868416914613600256 |
|---|---|
| author | Vaz, Pedro G. |
| author2 | Brea, Luisa Sanchez Silva, Vânia Bastos van Eijgen, Jan Stalmans, Ingeborg Cardoso, João van Walsum, Theo Klein, Stefan Barbosa Breda, João Andrade De Jesus, Danilo |
| author2_role | author author author author author author author author author |
| author_facet | Vaz, Pedro G. Brea, Luisa Sanchez Silva, Vânia Bastos van Eijgen, Jan Stalmans, Ingeborg Cardoso, João van Walsum, Theo Klein, Stefan Barbosa Breda, João Andrade De Jesus, Danilo |
| author_role | author |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Vaz, Pedro G.\"},{\"Person.name\":\"Brea, Luisa Sanchez\"},{\"Person.name\":\"Silva, Vânia Bastos\"},{\"Person.name\":\"van Eijgen, Jan\"},{\"Person.name\":\"Stalmans, Ingeborg\"},{\"Person.name\":\"Cardoso, João\"},{\"Person.name\":\"van Walsum, Theo\"},{\"Person.name\":\"Klein, Stefan\"},{\"Person.name\":\"Barbosa Breda, João\"},{\"Person.name\":\"Andrade De Jesus, Danilo\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Vaz, Pedro G. Brea, Luisa Sanchez Silva, Vânia Bastos van Eijgen, Jan Stalmans, Ingeborg Cardoso, João van Walsum, Theo Klein, Stefan Barbosa Breda, João Andrade De Jesus, Danilo |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | OCT Speckle Glaucoma Staging |
| datacite.titles.title.fl_str_mv | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| dc.creator.none.fl_str_mv | Vaz, Pedro G. Brea, Luisa Sanchez Silva, Vânia Bastos van Eijgen, Jan Stalmans, Ingeborg Cardoso, João van Walsum, Theo Klein, Stefan Barbosa Breda, João Andrade De Jesus, Danilo |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/10316/111992 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | OCT Speckle Glaucoma Staging |
| dc.title.fl_str_mv | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | This paper presents a novel image analysis strategy that increases the potential of macular Optical Coherence Tomography (OCT) by using speckle features as biomarkers in different stages of glaucoma. A large pool of features (480) were computed for a subset of macular OCT volumes of the Leuven eye study cohort. The dataset contained 258 subjects that were divided into four groups based on their glaucoma severity: Healthy (56), Mild (94), Moderate (48), and Severe (60). The OCT speckle features were categorized as statistical properties, statistical distributions, contrast, spatial gray-level dependence matrices, and frequency domain features. The averaged thicknesses of ten retinal layers were also collected. Kruskal-Wallis H test and multivariable regression models were used to infer the most significant features related to glaucoma severity classification and to the correlation with visual field mean deviation. Four features were selected as being the most relevant: the ganglion cell layer (GCL) and the inner plexiform layer (IPL) thicknesses, and two OCT speckle features, the data skewness computed on the retinal nerve fiber layer (RNFL) and the scale parameter (a) of the generalized gamma distribution fitted to the GCL data. Based on a significance level of 0.05, the regression models revealed that RNFL skewness exhibited the highest significance among the features considered for glaucoma severity staging (p-values of 8.6×10-6 for the logistic model and 2.8×10-7 for the linear model). Furthermore, it demonstrated a strong negative correlation with the visual field mean deviation (ρ=-0.64). The post hoc analysis revealed that, when distinguishing healthy controls from glaucoma subjects, GCL thickness is the most relevant feature (p-value of 8.7×10-5). Conversely, when comparing the Mild versus Moderate stages of glaucoma, RNFL skewness emerged as the only feature exhibiting statistical significance (p-value = 0.001). This work shows that macular OCT speckle contains information that is currently not used in clinical practice, and not only complements structural measurements (thickness) but also has a potential for glaucoma staging. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| id | estudogl_5dd42bb87e5cbd2ace96dc4c19faf501 |
| identifier.url.fl_str_mv | https://hdl.handle.net/10316/111992 |
| instacron_str | uc |
| institution | Universidade de Coimbra |
| instname_str | Universidade de Coimbra |
| language | eng |
| network_acronym_str | estudogl |
| network_name_str | Estudo Geral - Universidade de Coimbra |
| oai_identifier_str | oai:estudogeral.uc.pt:10316/111992 |
| organization_str_mv | urn:organizationAcronym:uc |
| person_str_mv | Vaz, Pedro G. Brea, Luisa Sanchez Silva, Vânia Bastos van Eijgen, Jan Stalmans, Ingeborg Cardoso, João van Walsum, Theo Klein, Stefan Barbosa Breda, João Andrade De Jesus, Danilo |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Elsevier |
| reponame_str | Estudo Geral - Universidade de Coimbra |
| repository_id_str | urn:repositoryAcronym:estudogl |
| service_str_mv | urn:repositoryAcronym:estudogl |
| spelling | Retinal OCT speckle as a biomarker for glaucoma diagnosis and stagingVaz, Pedro G.Brea, Luisa SanchezSilva, Vânia Bastosvan Eijgen, JanStalmans, IngeborgCardoso, Joãovan Walsum, TheoKlein, StefanBarbosa Breda, JoãoAndrade De Jesus, DaniloOCTSpeckleGlaucomaStagingopen accesshttp://purl.org/coar/access_right/c_abf2https://hdl.handle.net/10316/111992Handle37329820N/AHasVersion1879-0771N/AHasVersionhttps://hdl.handle.net/10316/111992Handlehttps://doi.org/10.1016/j.compmedimag.2023.102256DOI2023-09This paper presents a novel image analysis strategy that increases the potential of macular Optical Coherence Tomography (OCT) by using speckle features as biomarkers in different stages of glaucoma. A large pool of features (480) were computed for a subset of macular OCT volumes of the Leuven eye study cohort. The dataset contained 258 subjects that were divided into four groups based on their glaucoma severity: Healthy (56), Mild (94), Moderate (48), and Severe (60). The OCT speckle features were categorized as statistical properties, statistical distributions, contrast, spatial gray-level dependence matrices, and frequency domain features. The averaged thicknesses of ten retinal layers were also collected. Kruskal-Wallis H test and multivariable regression models were used to infer the most significant features related to glaucoma severity classification and to the correlation with visual field mean deviation. Four features were selected as being the most relevant: the ganglion cell layer (GCL) and the inner plexiform layer (IPL) thicknesses, and two OCT speckle features, the data skewness computed on the retinal nerve fiber layer (RNFL) and the scale parameter (a) of the generalized gamma distribution fitted to the GCL data. Based on a significance level of 0.05, the regression models revealed that RNFL skewness exhibited the highest significance among the features considered for glaucoma severity staging (p-values of 8.6×10-6 for the logistic model and 2.8×10-7 for the linear model). Furthermore, it demonstrated a strong negative correlation with the visual field mean deviation (ρ=-0.64). The post hoc analysis revealed that, when distinguishing healthy controls from glaucoma subjects, GCL thickness is the most relevant feature (p-value of 8.7×10-5). Conversely, when comparing the Mild versus Moderate stages of glaucoma, RNFL skewness emerged as the only feature exhibiting statistical significance (p-value = 0.001). This work shows that macular OCT speckle contains information that is currently not used in clinical practice, and not only complements structural measurements (thickness) but also has a potential for glaucoma staging.engElsevierjournal articlehttp://purl.org/coar/resource_type/c_6501literature |
| spellingShingle | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging Vaz, Pedro G. OCT Speckle Glaucoma Staging |
| status | SINGLETON |
| subject.fl_str_mv | OCT Speckle Glaucoma Staging |
| title | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| title_full | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| title_fullStr | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| title_full_unstemmed | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| title_short | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| title_sort | Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging |
| topic | OCT Speckle Glaucoma Staging |
| topic_facet | OCT Speckle Glaucoma Staging |
| url | https://hdl.handle.net/10316/111992 |
| visible | 1 |