The Experts below are selected from a list of 198 Experts worldwide ranked by ideXlab platform

Jane W. Moy - One of the best experts on this subject based on the ideXlab platform.

  • a piecewise Linear programming approach to the two group Discriminant problem an adaptation to fisher s Linear Discriminant Function model
    European Journal of Operational Research, 2003
    Co-Authors: Kim Fung Lam, Jane W. Moy
    Abstract:

    Abstract Most existing Linear programming (LP) models have optimization objectives that are very different from Fisher’s Linear Discriminant Function (FLDF). An LP technique that adapts to FLDF to solve the two-group classification problem is desirable, as FLDF is one of the most popular classification rules. Therefore, this paper introduces a piecewise Linear programming (PLP- p ) approach that has an optimization objective very similar to that of FLDF to solve the two-group classification problem in Discriminant analysis. Moreover, the paper compares the classificatory performance between FLDF and the new PLP- p model, and shows that the results from both approaches are as good as each other when applied to three published data sets. However, the new PLP- p is more flexible than FLDF in terms of adding different types of constraints and weighting individual observations. The results of a simulation experiment confirm the value of our proposed approach.

  • A piecewise Linear programming approach to the two-group Discriminant problem – an adaptation to Fisher’s Linear Discriminant Function model
    European Journal of Operational Research, 2003
    Co-Authors: Kim Fung Lam, Jane W. Moy
    Abstract:

    Abstract Most existing Linear programming (LP) models have optimization objectives that are very different from Fisher’s Linear Discriminant Function (FLDF). An LP technique that adapts to FLDF to solve the two-group classification problem is desirable, as FLDF is one of the most popular classification rules. Therefore, this paper introduces a piecewise Linear programming (PLP- p ) approach that has an optimization objective very similar to that of FLDF to solve the two-group classification problem in Discriminant analysis. Moreover, the paper compares the classificatory performance between FLDF and the new PLP- p model, and shows that the results from both approaches are as good as each other when applied to three published data sets. However, the new PLP- p is more flexible than FLDF in terms of adding different types of constraints and weighting individual observations. The results of a simulation experiment confirm the value of our proposed approach.

Kim Fung Lam - One of the best experts on this subject based on the ideXlab platform.

  • a piecewise Linear programming approach to the two group Discriminant problem an adaptation to fisher s Linear Discriminant Function model
    European Journal of Operational Research, 2003
    Co-Authors: Kim Fung Lam, Jane W. Moy
    Abstract:

    Abstract Most existing Linear programming (LP) models have optimization objectives that are very different from Fisher’s Linear Discriminant Function (FLDF). An LP technique that adapts to FLDF to solve the two-group classification problem is desirable, as FLDF is one of the most popular classification rules. Therefore, this paper introduces a piecewise Linear programming (PLP- p ) approach that has an optimization objective very similar to that of FLDF to solve the two-group classification problem in Discriminant analysis. Moreover, the paper compares the classificatory performance between FLDF and the new PLP- p model, and shows that the results from both approaches are as good as each other when applied to three published data sets. However, the new PLP- p is more flexible than FLDF in terms of adding different types of constraints and weighting individual observations. The results of a simulation experiment confirm the value of our proposed approach.

  • A piecewise Linear programming approach to the two-group Discriminant problem – an adaptation to Fisher’s Linear Discriminant Function model
    European Journal of Operational Research, 2003
    Co-Authors: Kim Fung Lam, Jane W. Moy
    Abstract:

    Abstract Most existing Linear programming (LP) models have optimization objectives that are very different from Fisher’s Linear Discriminant Function (FLDF). An LP technique that adapts to FLDF to solve the two-group classification problem is desirable, as FLDF is one of the most popular classification rules. Therefore, this paper introduces a piecewise Linear programming (PLP- p ) approach that has an optimization objective very similar to that of FLDF to solve the two-group classification problem in Discriminant analysis. Moreover, the paper compares the classificatory performance between FLDF and the new PLP- p model, and shows that the results from both approaches are as good as each other when applied to three published data sets. However, the new PLP- p is more flexible than FLDF in terms of adding different types of constraints and weighting individual observations. The results of a simulation experiment confirm the value of our proposed approach.

Luis E. Pablo - One of the best experts on this subject based on the ideXlab platform.

  • diagnostic capability of a Linear Discriminant Function applied to a novel spectralis oct glaucoma detection protocol
    BMC Ophthalmology, 2020
    Co-Authors: Maria P Bambo, Luis E. Pablo, Jose M Larrosa, Enrique Fuentemilla, Beatriz Cameo, Isabel Fuertes, Blanca Ferrandez, Noemi Güerri, V Polo, Elena Garciamartin
    Abstract:

    BACKGROUND Bruch membrane opening-minimum rim width (BMO-MRW) assessment offers a new diagnostic use in glaucoma patients of the Glaucoma Module Premium Edition (GMPE) available for the Spectralis optical coherence tomography (OCT) system. The objective of our research was to evaluate the diagnostic benefits of examining BMO-MRW and peripapillary retinal nerve fibre layer (pRNFL) readings acquired with Spectralis OCT to distinguish between healthy and mild glaucoma patients, comparing those readings with the standard pRNFL application. Moreover, we investigated whether using a particular combination of BMO-MRW and pRNFL parameters with a Linear Discriminant Function (LDF) could further enhance glaucoma diagnosis. METHODS One hundred thirty-six eyes from 136 individuals were incorporated into this observational, prospective cross-sectional study: 68 mild primary open-angle glaucoma (POAG) patients according to the Hodapp-Parrish-Anderson criteria (mean deviation between 0 and - 6 dB) and 68 healthy control subjects selected by Propensity Score Matching. MRW and pRNFL thickness around the disc (diameters: 3.5 mm, 4.1 mm, and 4.7 mm) were obtained using the BMO-MRW protocol, and pRNFL thickness at 3.5 mm was obtained with the standard glaucoma application. The group data were contrasted. One sample was chosen at random to develop the LDF (teaching set: 34 healthy subjects and 34 POAG patients) using a combination of MRW and pRNFL parameters (acquired with the BMO-MRW protocol); the other sample provided a test of how the LDF performed on an independent group (validating set: 34 healthy subjects and 34 POAG patients). The receiver operating curves (ROCs) were plotted for every measurement and contrasted with the proposed LDF. The OCT parameters with the best area under the receiver operating characteristic curve (AUC) were determined. RESULTS Global MRW and pRNFL thicknesses were significantly thinner in the POAG group (p <  0.001). The BMO-MRW parameters showed good diagnostic accuracy; the largest AUCs reached 0.875 for the LDF and 0.879 for global RNFL thickness using the standard glaucoma application. There were no statistical differences between the AUCs calculated. CONCLUSIONS BMO-MRW parameters show a strong capability to differentiate between mild glaucoma and control eyes. Our LDF based on the new BMO-MRW OCT protocol did not perform better than isolated parameters.

  • Diagnostic capability of a Linear Discriminant Function applied to a novel Spectralis OCT glaucoma-detection protocol
    2019
    Co-Authors: Maria Pilar Bambo, Luis E. Pablo, Jose M Larrosa, Vicente Polo, Enrique Fuentemilla, Beatriz Cameo, Isabel Fuertes, Blanca Ferrandez, Noemi Güerri, Elena Garcia-martin
    Abstract:

    Abstract Background: Bruch membrane opening–minimum rim width (BMO–MRW) assessment offers a new diagnostic use in glaucoma patients of the Glaucoma Module Premium Edition (GMPE) available for the Spectralis optical coherence tomography (OCT) system. The objective of our research was to evaluate the diagnostic benefits of examining BMO–MRW and peripapillary retinal nerve fibre layer (pRNFL) readings acquired with Spectralis OCT to distinguish between healthy and early-onset glaucoma patients, comparing those readings with the standard pRNFL application. Moreover, we investigated whether using a particular combination of BMO–MRW and pRNFL parameters with a Linear Discriminant Function (LDF) could further enhance glaucoma diagnosis. Methods: 136 eyes from 136 individuals were incorporated into this observational, prospective cross-sectional study: 68 healthy control subjects and 68 early-onset primary open-angle glaucoma (POAG) patients. MRW and pRNFL thickness around the disc (diameters: 3.5 mm, 4.1 mm, and 4.7 mm) were obtained using the BMO–MRW protocol, and pRNFL thickness at 3.5 mm was obtained with the standard glaucoma application. The group data were contrasted. One sample was chosen at random to develop the LDF (teaching set: 34 healthy subjects and 34 POAG patients) using a combination of MRW and pRNFL parameters (acquired with the BMO–MRW protocol); the other sample provided a test of how the LDF performed on an independent group (validating set: 34 healthy subjects and 34 POAG patients). The receiver operating curves (ROCs) were plotted for every measurement and contrasted with the proposed LDF. The OCT parameters with the best area under the receiver operating characteristic curve (AUC) were determined. Results: Global MRW and pRNFL thicknesses were significantly thinner in the POAG group (p < 0.001). The BMO–MRW parameters showed good diagnostic accuracy; the largest AUCs reached 0.875 for the LDF and 0.879 for global RNFL thickness using the standard glaucoma application. There were no statistical differences between the AUCs calculated. Conclusions: BMO–MRW parameters show a strong capability to differentiate between early-onset glaucoma and control eyes. Our LDF based on the new BMO–MRW OCT protocol did not perform better than isolated parameters.

  • potential new diagnostic tool for alzheimer s disease using a Linear Discriminant Function for fourier domain optical coherence tomography
    Investigative Ophthalmology & Visual Science, 2014
    Co-Authors: Jose M Larrosa, Elena Garciamartin, Maria P Bambo, Juan Pinilla, Vicente Polo, S Otin, M Satue, Raquel Herrero, Luis E. Pablo
    Abstract:

    Purpose We calculated and validated a Linear Discriminant Function (LDF) for Fourier domain optical coherence tomography (OCT) to improve the diagnostic ability of retinal and retinal nerve fiber layer (RNFL) thickness parameters in the detection of Alzheimer's disease (AD). Methods We enrolled AD patients (n = 151) and age-matched, healthy subjects (n = 61). The Cirrus and Spectralis OCT systems were used to obtain retinal measurements and circumpapillary RNFL thickness for each participant. An LDF was calculated using all retinal and RNFL OCT measurements. Receiver operating characteristic (ROC) curves were plotted and compared among the LDF and the standard parameters provided by OCT devices. Sensitivity and specificity were used to evaluate diagnostic performance. A validating set was used in an independent population to test the performance of the LDF. Results The optimal Function was calculated using the RNFL thickness provided by Spectralis OCT, using the 768 points registered during peripapillary scan acquisition (grouped to obtain 24 uniformly divided locations): 18.325 + 0.056 × (315°-330°) - 0.122 × (300°-315°) - 0.041 × (285°-300°) + 0.091 × (255°-270°) + 0.041 × (225°-240°) + 0.183 × (195°-210°) - 0.108 × (150°-165°) - 0.092 × (75°-90°) + 0.051 × (30°-45°). The largest area under the ROC curve was 0.967 for the LDF. At 95% fixed specificity, the LDF yielded the highest sensitivity values. Conclusions Measurements of RNFL thickness obtained with the Spectralis OCT device differentiated between healthy and AD individuals. Based on the area under the ROC curve, the LDF was a better predictor than any single parameter.

  • diagnostic ability of a Linear Discriminant Function for spectral domain optical coherence tomography in patients with multiple sclerosis
    Ophthalmology, 2012
    Co-Authors: Elena Garciamartin, Luis E. Pablo, Jose M Larrosa, Vicente Polo, M Satue, Raquel Herrero, Jesus Martin, Javier Fernandez
    Abstract:

    Purpose To calculate and validate a Linear Discriminant Function (LDF) for spectral-domain optical coherence tomography (OCT) to improve the diagnostic ability of retinal nerve fiber layer (RNFL) thickness parameters for the detection of multiple sclerosis (MS). Design Observational cross-sectional study. Participants Patients with multiple sclerosis (n = 115) and age-matched healthy subjects (n = 115) were enrolled in the study. Methods The Spectralis OCT system (Heidelberg Engineering, Heidelberg, Germany) was used to obtain the circumpapillary RNFL thickness in both eyes of each participant. Main Outcome Measures A validating set including 60% of the study subjects (69 healthy individuals and 69 patients with MS) was used to test the performance of the LDF in an independent population. Receiver operating characteristic (ROC) curves were plotted and compared with the RNFL parameters measured using OCT. Sensitivity and specificity were used to evaluate diagnostic performance. Results The optimized Function was 4.965 − 0.40 × (mean thickness 15–30 degrees) − 0.17 × (mean thickness 300–315 degrees) + 2.743 − 0.032 × (mean thickness 105–120 degrees) − 0.031 × (mean thickness 120–135 degrees) − 0.018 × (mean thickness 225–240 degrees). The largest area under the ROC curve was 0.834 for our LDF in the validating population. At 95% fixed specificity, the LDF yielded the highest sensitivity values. Conclusions Measurements of RNFL thickness obtained with Spectralis OCT had good ability to differentiate between healthy individuals and individuals with MS. On the basis of the area under the ROC curve, the LDF performed better than any single parameter. Financial Disclosure(s) The author(s) have no proprietary or commercial interest in any materials discussed in this article.

  • Diagnostic ability of a Linear Discriminant Function for optic nerve head parameters measured with optical coherence tomography for perimetric glaucoma.
    Eye (London England), 2009
    Co-Authors: Luis E. Pablo, Antonio Ferreras, Ana B. Pajarin, Paolo Fogagnolo
    Abstract:

    Diagnostic ability of a Linear Discriminant Function for optic nerve head parameters measured with optical coherence tomography for perimetric glaucoma

Elena Garciamartin - One of the best experts on this subject based on the ideXlab platform.

  • diagnostic capability of a Linear Discriminant Function applied to a novel spectralis oct glaucoma detection protocol
    BMC Ophthalmology, 2020
    Co-Authors: Maria P Bambo, Luis E. Pablo, Jose M Larrosa, Enrique Fuentemilla, Beatriz Cameo, Isabel Fuertes, Blanca Ferrandez, Noemi Güerri, V Polo, Elena Garciamartin
    Abstract:

    BACKGROUND Bruch membrane opening-minimum rim width (BMO-MRW) assessment offers a new diagnostic use in glaucoma patients of the Glaucoma Module Premium Edition (GMPE) available for the Spectralis optical coherence tomography (OCT) system. The objective of our research was to evaluate the diagnostic benefits of examining BMO-MRW and peripapillary retinal nerve fibre layer (pRNFL) readings acquired with Spectralis OCT to distinguish between healthy and mild glaucoma patients, comparing those readings with the standard pRNFL application. Moreover, we investigated whether using a particular combination of BMO-MRW and pRNFL parameters with a Linear Discriminant Function (LDF) could further enhance glaucoma diagnosis. METHODS One hundred thirty-six eyes from 136 individuals were incorporated into this observational, prospective cross-sectional study: 68 mild primary open-angle glaucoma (POAG) patients according to the Hodapp-Parrish-Anderson criteria (mean deviation between 0 and - 6 dB) and 68 healthy control subjects selected by Propensity Score Matching. MRW and pRNFL thickness around the disc (diameters: 3.5 mm, 4.1 mm, and 4.7 mm) were obtained using the BMO-MRW protocol, and pRNFL thickness at 3.5 mm was obtained with the standard glaucoma application. The group data were contrasted. One sample was chosen at random to develop the LDF (teaching set: 34 healthy subjects and 34 POAG patients) using a combination of MRW and pRNFL parameters (acquired with the BMO-MRW protocol); the other sample provided a test of how the LDF performed on an independent group (validating set: 34 healthy subjects and 34 POAG patients). The receiver operating curves (ROCs) were plotted for every measurement and contrasted with the proposed LDF. The OCT parameters with the best area under the receiver operating characteristic curve (AUC) were determined. RESULTS Global MRW and pRNFL thicknesses were significantly thinner in the POAG group (p <  0.001). The BMO-MRW parameters showed good diagnostic accuracy; the largest AUCs reached 0.875 for the LDF and 0.879 for global RNFL thickness using the standard glaucoma application. There were no statistical differences between the AUCs calculated. CONCLUSIONS BMO-MRW parameters show a strong capability to differentiate between mild glaucoma and control eyes. Our LDF based on the new BMO-MRW OCT protocol did not perform better than isolated parameters.

  • potential new diagnostic tool for alzheimer s disease using a Linear Discriminant Function for fourier domain optical coherence tomography
    Investigative Ophthalmology & Visual Science, 2014
    Co-Authors: Jose M Larrosa, Elena Garciamartin, Maria P Bambo, Juan Pinilla, Vicente Polo, S Otin, M Satue, Raquel Herrero, Luis E. Pablo
    Abstract:

    Purpose We calculated and validated a Linear Discriminant Function (LDF) for Fourier domain optical coherence tomography (OCT) to improve the diagnostic ability of retinal and retinal nerve fiber layer (RNFL) thickness parameters in the detection of Alzheimer's disease (AD). Methods We enrolled AD patients (n = 151) and age-matched, healthy subjects (n = 61). The Cirrus and Spectralis OCT systems were used to obtain retinal measurements and circumpapillary RNFL thickness for each participant. An LDF was calculated using all retinal and RNFL OCT measurements. Receiver operating characteristic (ROC) curves were plotted and compared among the LDF and the standard parameters provided by OCT devices. Sensitivity and specificity were used to evaluate diagnostic performance. A validating set was used in an independent population to test the performance of the LDF. Results The optimal Function was calculated using the RNFL thickness provided by Spectralis OCT, using the 768 points registered during peripapillary scan acquisition (grouped to obtain 24 uniformly divided locations): 18.325 + 0.056 × (315°-330°) - 0.122 × (300°-315°) - 0.041 × (285°-300°) + 0.091 × (255°-270°) + 0.041 × (225°-240°) + 0.183 × (195°-210°) - 0.108 × (150°-165°) - 0.092 × (75°-90°) + 0.051 × (30°-45°). The largest area under the ROC curve was 0.967 for the LDF. At 95% fixed specificity, the LDF yielded the highest sensitivity values. Conclusions Measurements of RNFL thickness obtained with the Spectralis OCT device differentiated between healthy and AD individuals. Based on the area under the ROC curve, the LDF was a better predictor than any single parameter.

  • diagnostic ability of a Linear Discriminant Function for spectral domain optical coherence tomography in patients with multiple sclerosis
    Ophthalmology, 2012
    Co-Authors: Elena Garciamartin, Luis E. Pablo, Jose M Larrosa, Vicente Polo, M Satue, Raquel Herrero, Jesus Martin, Javier Fernandez
    Abstract:

    Purpose To calculate and validate a Linear Discriminant Function (LDF) for spectral-domain optical coherence tomography (OCT) to improve the diagnostic ability of retinal nerve fiber layer (RNFL) thickness parameters for the detection of multiple sclerosis (MS). Design Observational cross-sectional study. Participants Patients with multiple sclerosis (n = 115) and age-matched healthy subjects (n = 115) were enrolled in the study. Methods The Spectralis OCT system (Heidelberg Engineering, Heidelberg, Germany) was used to obtain the circumpapillary RNFL thickness in both eyes of each participant. Main Outcome Measures A validating set including 60% of the study subjects (69 healthy individuals and 69 patients with MS) was used to test the performance of the LDF in an independent population. Receiver operating characteristic (ROC) curves were plotted and compared with the RNFL parameters measured using OCT. Sensitivity and specificity were used to evaluate diagnostic performance. Results The optimized Function was 4.965 − 0.40 × (mean thickness 15–30 degrees) − 0.17 × (mean thickness 300–315 degrees) + 2.743 − 0.032 × (mean thickness 105–120 degrees) − 0.031 × (mean thickness 120–135 degrees) − 0.018 × (mean thickness 225–240 degrees). The largest area under the ROC curve was 0.834 for our LDF in the validating population. At 95% fixed specificity, the LDF yielded the highest sensitivity values. Conclusions Measurements of RNFL thickness obtained with Spectralis OCT had good ability to differentiate between healthy individuals and individuals with MS. On the basis of the area under the ROC curve, the LDF performed better than any single parameter. Financial Disclosure(s) The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Jose M Larrosa - One of the best experts on this subject based on the ideXlab platform.

  • diagnostic capability of a Linear Discriminant Function applied to a novel spectralis oct glaucoma detection protocol
    BMC Ophthalmology, 2020
    Co-Authors: Maria P Bambo, Luis E. Pablo, Jose M Larrosa, Enrique Fuentemilla, Beatriz Cameo, Isabel Fuertes, Blanca Ferrandez, Noemi Güerri, V Polo, Elena Garciamartin
    Abstract:

    BACKGROUND Bruch membrane opening-minimum rim width (BMO-MRW) assessment offers a new diagnostic use in glaucoma patients of the Glaucoma Module Premium Edition (GMPE) available for the Spectralis optical coherence tomography (OCT) system. The objective of our research was to evaluate the diagnostic benefits of examining BMO-MRW and peripapillary retinal nerve fibre layer (pRNFL) readings acquired with Spectralis OCT to distinguish between healthy and mild glaucoma patients, comparing those readings with the standard pRNFL application. Moreover, we investigated whether using a particular combination of BMO-MRW and pRNFL parameters with a Linear Discriminant Function (LDF) could further enhance glaucoma diagnosis. METHODS One hundred thirty-six eyes from 136 individuals were incorporated into this observational, prospective cross-sectional study: 68 mild primary open-angle glaucoma (POAG) patients according to the Hodapp-Parrish-Anderson criteria (mean deviation between 0 and - 6 dB) and 68 healthy control subjects selected by Propensity Score Matching. MRW and pRNFL thickness around the disc (diameters: 3.5 mm, 4.1 mm, and 4.7 mm) were obtained using the BMO-MRW protocol, and pRNFL thickness at 3.5 mm was obtained with the standard glaucoma application. The group data were contrasted. One sample was chosen at random to develop the LDF (teaching set: 34 healthy subjects and 34 POAG patients) using a combination of MRW and pRNFL parameters (acquired with the BMO-MRW protocol); the other sample provided a test of how the LDF performed on an independent group (validating set: 34 healthy subjects and 34 POAG patients). The receiver operating curves (ROCs) were plotted for every measurement and contrasted with the proposed LDF. The OCT parameters with the best area under the receiver operating characteristic curve (AUC) were determined. RESULTS Global MRW and pRNFL thicknesses were significantly thinner in the POAG group (p <  0.001). The BMO-MRW parameters showed good diagnostic accuracy; the largest AUCs reached 0.875 for the LDF and 0.879 for global RNFL thickness using the standard glaucoma application. There were no statistical differences between the AUCs calculated. CONCLUSIONS BMO-MRW parameters show a strong capability to differentiate between mild glaucoma and control eyes. Our LDF based on the new BMO-MRW OCT protocol did not perform better than isolated parameters.

  • Diagnostic capability of a Linear Discriminant Function applied to a novel Spectralis OCT glaucoma-detection protocol
    2019
    Co-Authors: Maria Pilar Bambo, Luis E. Pablo, Jose M Larrosa, Vicente Polo, Enrique Fuentemilla, Beatriz Cameo, Isabel Fuertes, Blanca Ferrandez, Noemi Güerri, Elena Garcia-martin
    Abstract:

    Abstract Background: Bruch membrane opening–minimum rim width (BMO–MRW) assessment offers a new diagnostic use in glaucoma patients of the Glaucoma Module Premium Edition (GMPE) available for the Spectralis optical coherence tomography (OCT) system. The objective of our research was to evaluate the diagnostic benefits of examining BMO–MRW and peripapillary retinal nerve fibre layer (pRNFL) readings acquired with Spectralis OCT to distinguish between healthy and early-onset glaucoma patients, comparing those readings with the standard pRNFL application. Moreover, we investigated whether using a particular combination of BMO–MRW and pRNFL parameters with a Linear Discriminant Function (LDF) could further enhance glaucoma diagnosis. Methods: 136 eyes from 136 individuals were incorporated into this observational, prospective cross-sectional study: 68 healthy control subjects and 68 early-onset primary open-angle glaucoma (POAG) patients. MRW and pRNFL thickness around the disc (diameters: 3.5 mm, 4.1 mm, and 4.7 mm) were obtained using the BMO–MRW protocol, and pRNFL thickness at 3.5 mm was obtained with the standard glaucoma application. The group data were contrasted. One sample was chosen at random to develop the LDF (teaching set: 34 healthy subjects and 34 POAG patients) using a combination of MRW and pRNFL parameters (acquired with the BMO–MRW protocol); the other sample provided a test of how the LDF performed on an independent group (validating set: 34 healthy subjects and 34 POAG patients). The receiver operating curves (ROCs) were plotted for every measurement and contrasted with the proposed LDF. The OCT parameters with the best area under the receiver operating characteristic curve (AUC) were determined. Results: Global MRW and pRNFL thicknesses were significantly thinner in the POAG group (p < 0.001). The BMO–MRW parameters showed good diagnostic accuracy; the largest AUCs reached 0.875 for the LDF and 0.879 for global RNFL thickness using the standard glaucoma application. There were no statistical differences between the AUCs calculated. Conclusions: BMO–MRW parameters show a strong capability to differentiate between early-onset glaucoma and control eyes. Our LDF based on the new BMO–MRW OCT protocol did not perform better than isolated parameters.

  • potential new diagnostic tool for alzheimer s disease using a Linear Discriminant Function for fourier domain optical coherence tomography
    Investigative Ophthalmology & Visual Science, 2014
    Co-Authors: Jose M Larrosa, Elena Garciamartin, Maria P Bambo, Juan Pinilla, Vicente Polo, S Otin, M Satue, Raquel Herrero, Luis E. Pablo
    Abstract:

    Purpose We calculated and validated a Linear Discriminant Function (LDF) for Fourier domain optical coherence tomography (OCT) to improve the diagnostic ability of retinal and retinal nerve fiber layer (RNFL) thickness parameters in the detection of Alzheimer's disease (AD). Methods We enrolled AD patients (n = 151) and age-matched, healthy subjects (n = 61). The Cirrus and Spectralis OCT systems were used to obtain retinal measurements and circumpapillary RNFL thickness for each participant. An LDF was calculated using all retinal and RNFL OCT measurements. Receiver operating characteristic (ROC) curves were plotted and compared among the LDF and the standard parameters provided by OCT devices. Sensitivity and specificity were used to evaluate diagnostic performance. A validating set was used in an independent population to test the performance of the LDF. Results The optimal Function was calculated using the RNFL thickness provided by Spectralis OCT, using the 768 points registered during peripapillary scan acquisition (grouped to obtain 24 uniformly divided locations): 18.325 + 0.056 × (315°-330°) - 0.122 × (300°-315°) - 0.041 × (285°-300°) + 0.091 × (255°-270°) + 0.041 × (225°-240°) + 0.183 × (195°-210°) - 0.108 × (150°-165°) - 0.092 × (75°-90°) + 0.051 × (30°-45°). The largest area under the ROC curve was 0.967 for the LDF. At 95% fixed specificity, the LDF yielded the highest sensitivity values. Conclusions Measurements of RNFL thickness obtained with the Spectralis OCT device differentiated between healthy and AD individuals. Based on the area under the ROC curve, the LDF was a better predictor than any single parameter.

  • diagnostic ability of a Linear Discriminant Function for spectral domain optical coherence tomography in patients with multiple sclerosis
    Ophthalmology, 2012
    Co-Authors: Elena Garciamartin, Luis E. Pablo, Jose M Larrosa, Vicente Polo, M Satue, Raquel Herrero, Jesus Martin, Javier Fernandez
    Abstract:

    Purpose To calculate and validate a Linear Discriminant Function (LDF) for spectral-domain optical coherence tomography (OCT) to improve the diagnostic ability of retinal nerve fiber layer (RNFL) thickness parameters for the detection of multiple sclerosis (MS). Design Observational cross-sectional study. Participants Patients with multiple sclerosis (n = 115) and age-matched healthy subjects (n = 115) were enrolled in the study. Methods The Spectralis OCT system (Heidelberg Engineering, Heidelberg, Germany) was used to obtain the circumpapillary RNFL thickness in both eyes of each participant. Main Outcome Measures A validating set including 60% of the study subjects (69 healthy individuals and 69 patients with MS) was used to test the performance of the LDF in an independent population. Receiver operating characteristic (ROC) curves were plotted and compared with the RNFL parameters measured using OCT. Sensitivity and specificity were used to evaluate diagnostic performance. Results The optimized Function was 4.965 − 0.40 × (mean thickness 15–30 degrees) − 0.17 × (mean thickness 300–315 degrees) + 2.743 − 0.032 × (mean thickness 105–120 degrees) − 0.031 × (mean thickness 120–135 degrees) − 0.018 × (mean thickness 225–240 degrees). The largest area under the ROC curve was 0.834 for our LDF in the validating population. At 95% fixed specificity, the LDF yielded the highest sensitivity values. Conclusions Measurements of RNFL thickness obtained with Spectralis OCT had good ability to differentiate between healthy individuals and individuals with MS. On the basis of the area under the ROC curve, the LDF performed better than any single parameter. Financial Disclosure(s) The author(s) have no proprietary or commercial interest in any materials discussed in this article.