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Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method

PURPOSE: To describe and validate a semi-automated targeted sampling (SATS) method for quantifying optic nerve axons in a feline glaucoma model. METHODS: Optic nerve cross sections were obtained from 15 cats, nine with mild to severe glaucoma and six with normal eyes. Optic nerves were dissected, fi...

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Autores principales: Teixeira, Leandro B. C., Buhr, Kevin A., Bowie, Owen, Duke, Felicia D., Nork, T. Michael, Dubielzig, Richard R., McLellan, Gillian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Vision 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976691/
https://www.ncbi.nlm.nih.gov/pubmed/24715755
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author Teixeira, Leandro B. C.
Buhr, Kevin A.
Bowie, Owen
Duke, Felicia D.
Nork, T. Michael
Dubielzig, Richard R.
McLellan, Gillian J.
author_facet Teixeira, Leandro B. C.
Buhr, Kevin A.
Bowie, Owen
Duke, Felicia D.
Nork, T. Michael
Dubielzig, Richard R.
McLellan, Gillian J.
author_sort Teixeira, Leandro B. C.
collection PubMed
description PURPOSE: To describe and validate a semi-automated targeted sampling (SATS) method for quantifying optic nerve axons in a feline glaucoma model. METHODS: Optic nerve cross sections were obtained from 15 cats, nine with mild to severe glaucoma and six with normal eyes. Optic nerves were dissected, fixed in paraformaldehyde and glutaraldehyde, and processed for light microscopy by resin embedding, sectioning, and staining of axon myelin sheaths with 1% p-phenylenediamine before axon quantification. Commercially available image analysis software was used as a semi-automated axon counting tool (SCT) and was first validated by comparison with a manual axon count (MAC). This counting tool was then used in a SATS method performed by three masked raters and in a semi-automated full count (SAFC) method performed by a single observer. Correlation was assessed between the SCT and MAC using a linear model and analysis of covariance (ANCOVA). Correlation between the SATS and SAFC methods was calculated and the bias, systematic errors, and variance component assessed. The intraclass correlation coefficient (ICC) was determined to establish inter-rater agreement. In addition, the time required to perform the SATS and SAFC methods was evaluated. RESULTS: Correlation between the axon counts obtained by the SCT and MAC was strong (r = 0.9985). There was evidence of an overcounting of axons by the SCT compared to the MAC with a percentage error rate of 13.0% (95% confidence interval [CI] 11.0%, 15.1%). Both the correlation of SATS count (average per rater) to SAFC (r = 0.9891) and inter-rater agreement (ICC = 0.986) were high. The SATS method presented an overall positive counting error (p<0.001) when compared to the SAFC, consistent with a fixed percentage overestimation of 11.2% (95% CI 8.3%, 14.2%) of the full count. The average time required to quantify axons by the SATS method was 10.9 min, only 27% of that required to conduct the SAFC. CONCLUSIONS: Our data demonstrate that the SATS method provides a practical, rapid, and reliable means of estimating axon counts in the optic nerves of cats with glaucoma.
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spelling pubmed-39766912014-04-08 Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method Teixeira, Leandro B. C. Buhr, Kevin A. Bowie, Owen Duke, Felicia D. Nork, T. Michael Dubielzig, Richard R. McLellan, Gillian J. Mol Vis Research Article PURPOSE: To describe and validate a semi-automated targeted sampling (SATS) method for quantifying optic nerve axons in a feline glaucoma model. METHODS: Optic nerve cross sections were obtained from 15 cats, nine with mild to severe glaucoma and six with normal eyes. Optic nerves were dissected, fixed in paraformaldehyde and glutaraldehyde, and processed for light microscopy by resin embedding, sectioning, and staining of axon myelin sheaths with 1% p-phenylenediamine before axon quantification. Commercially available image analysis software was used as a semi-automated axon counting tool (SCT) and was first validated by comparison with a manual axon count (MAC). This counting tool was then used in a SATS method performed by three masked raters and in a semi-automated full count (SAFC) method performed by a single observer. Correlation was assessed between the SCT and MAC using a linear model and analysis of covariance (ANCOVA). Correlation between the SATS and SAFC methods was calculated and the bias, systematic errors, and variance component assessed. The intraclass correlation coefficient (ICC) was determined to establish inter-rater agreement. In addition, the time required to perform the SATS and SAFC methods was evaluated. RESULTS: Correlation between the axon counts obtained by the SCT and MAC was strong (r = 0.9985). There was evidence of an overcounting of axons by the SCT compared to the MAC with a percentage error rate of 13.0% (95% confidence interval [CI] 11.0%, 15.1%). Both the correlation of SATS count (average per rater) to SAFC (r = 0.9891) and inter-rater agreement (ICC = 0.986) were high. The SATS method presented an overall positive counting error (p<0.001) when compared to the SAFC, consistent with a fixed percentage overestimation of 11.2% (95% CI 8.3%, 14.2%) of the full count. The average time required to quantify axons by the SATS method was 10.9 min, only 27% of that required to conduct the SAFC. CONCLUSIONS: Our data demonstrate that the SATS method provides a practical, rapid, and reliable means of estimating axon counts in the optic nerves of cats with glaucoma. Molecular Vision 2014-03-28 /pmc/articles/PMC3976691/ /pubmed/24715755 Text en Copyright © 2014 Molecular Vision. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, used for non-commercial purposes, and is not altered or transformed.
spellingShingle Research Article
Teixeira, Leandro B. C.
Buhr, Kevin A.
Bowie, Owen
Duke, Felicia D.
Nork, T. Michael
Dubielzig, Richard R.
McLellan, Gillian J.
Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method
title Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method
title_full Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method
title_fullStr Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method
title_full_unstemmed Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method
title_short Quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method
title_sort quantifying optic nerve axons in a cat glaucoma model by a semi-automated targeted counting method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976691/
https://www.ncbi.nlm.nih.gov/pubmed/24715755
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