Literature DB >> 25545485

Agreement and reproducibility of retinal pigment epithelial detachment volumetric measurements through optical coherence tomography.

Joseph Ho1, Mehreen Adhi, Caroline Baumal, Jonathan Liu, James G Fujimoto, Jay S Duker, Nadia K Waheed.   

Abstract

PURPOSE: To assess the agreement and reproducibility of retinal pigment epithelial detachment (RPED) volumetric measurements using a commercially available optical coherence tomography software available for the Zeiss Cirrus HD-OCT.
METHODS: Twelve eyes of 10 patients with a diagnosis of neovascular age-related macular degeneration with RPED, seen at the New England Eye Center between October 2012 and December 2012, were enrolled in the study. Three separate scans per affected eye were obtained using the "Macular Cube 512 × 128" protocol. "Retinal pigment epithelial (RPE) elevation analysis" software was used to measure RPED volumes in the central 3-mm and 5-mm circles by calculating the volume between the "RPE fit" and "true RPE" lines. All 128 raster scans for each eye were exported into the AMIRA software for manual segmentation of RPED volumes in the central 3-mm and 5-mm circles. Interscan reproducibility and manual-to-automated agreement were assessed by intraclass correlation coefficient. Incidence of automated segmentation line error for both RPE fit and true RPE lines in the central 1 mm region was calculated.
RESULTS: Average RPED volumes through automated segmentation software were 0.14 mm3 and 0.21 mm3 in the central 3-mm and 5-mm circles, respectively. Manual segmentation yielded average RPED volumes of 0.50 mm3 in the 3-mm circles and 0.92 mm3 in the 5-mm circles. Manual segmentation yielded significantly greater RPED volumes compared with automated measurements (P < 0.05). Intraclass correlation coefficients across the 3 automated measurements were 0.954 and 0.983 for volume in the 3-mm and 5-mm circles, respectively. Intraclass correlation coefficients between the manual and automatic volumes were 0.296 and 0.337 for the 3-mm and 5-mm circles, respectively. In the central 1 mm region, 11 of the 12 scans had breakdown in RPE fit line, whereas 8 of the 12 scans showed true RPE line breakdown.
CONCLUSION: Automated "RPED elevation" software demonstrated high interscan reproducibility. However, it showed low agreement with manual measurements from high rates of segmentation line breakdown, especially at the level of the RPE fit line (91.7%). Manual measurements resulted in greater volumes compared with automated measurements.

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Year:  2015        PMID: 25545485      PMCID: PMC4712909          DOI: 10.1097/IAE.0000000000000355

Source DB:  PubMed          Journal:  Retina        ISSN: 0275-004X            Impact factor:   4.256


  20 in total

1.  Anterior chamber width measurement by high-speed optical coherence tomography.

Authors:  Jason A Goldsmith; Yan Li; Maria Regina Chalita; Volker Westphal; Chetan A Patil; Andrew M Rollins; Joseph A Izatt; David Huang
Journal:  Ophthalmology       Date:  2005-02       Impact factor: 12.079

Review 2.  Ultra-high resolution optical coherence tomography for imaging the anterior segment of the eye.

Authors:  Jianhua Wang; Mohamed Abou Shousha; Victor L Perez; Carol L Karp; Sonia H Yoo; Meixiao Shen; Lele Cui; Volkan Hurmeric; Chixin Du; Dexi Zhu; Qi Chen; Ming Li
Journal:  Ophthalmic Surg Lasers Imaging       Date:  2011-07

3.  Accuracy and reproducibility of automated drusen segmentation in eyes with non-neovascular age-related macular degeneration.

Authors:  Muneeswar Gupta Nittala; Humberto Ruiz-Garcia; Srinivas R Sadda
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-12-17       Impact factor: 4.799

4.  Quantitative imaging of retinal pigment epithelial detachments using spectral-domain optical coherence tomography.

Authors:  Fernando M Penha; Philip J Rosenfeld; Giovanni Gregori; Manuel Falcão; Zohar Yehoshua; Fenghua Wang; William J Feuer
Journal:  Am J Ophthalmol       Date:  2011-10-25       Impact factor: 5.258

5.  Evaluation of focal defects of the nerve fiber layer using optical coherence tomography.

Authors:  L Pieroth; J S Schuman; E Hertzmark; M R Hee; J R Wilkins; J Coker; C Mattox; R Pedut-Kloizman; C A Puliafito; J G Fujimoto; E Swanson
Journal:  Ophthalmology       Date:  1999-03       Impact factor: 12.079

6.  Automated characterization of pigment epithelial detachment by optical coherence tomography.

Authors:  Sun Young Lee; Paul F Stetson; Humberto Ruiz-Garcia; Florian M Heussen; SriniVas R Sadda
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-01-20       Impact factor: 4.799

7.  Automatic segmentation in three-dimensional analysis of fibrovascular pigmentepithelial detachment using high-definition optical coherence tomography.

Authors:  C Ahlers; C Simader; W Geitzenauer; G Stock; P Stetson; S Dastmalchi; U Schmidt-Erfurth
Journal:  Br J Ophthalmol       Date:  2007-10-26       Impact factor: 4.638

8.  Three-dimensional ultrahigh resolution optical coherence tomography imaging of age-related macular degeneration.

Authors:  Yueli Chen; Laurel N Vuong; Jonathan Liu; Joseph Ho; Vivek J Srinivasan; Iwona Gorczynska; Andre J Witkin; Jay S Duker; Joel Schuman; James G Fujimoto
Journal:  Opt Express       Date:  2009-03-02       Impact factor: 3.894

9.  High-speed ultrahigh resolution optical coherence tomography before and after ranibizumab for age-related macular degeneration.

Authors:  Andre J Witkin; Laurel N Vuong; Vivek J Srinivasan; Iwona Gorczynska; Elias Reichel; Caroline R Baumal; Adam H Rogers; Joel S Schuman; James G Fujimoto; Jay S Duker
Journal:  Ophthalmology       Date:  2009-05       Impact factor: 12.079

Review 10.  Evaluation of age-related macular degeneration with optical coherence tomography.

Authors:  Pearse A Keane; Praveen J Patel; Sandra Liakopoulos; Florian M Heussen; Srinivas R Sadda; Adnan Tufail
Journal:  Surv Ophthalmol       Date:  2012-09       Impact factor: 6.048

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  4 in total

Review 1.  Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images.

Authors:  Kousar Ramezani; Maryam Tofangchiha
Journal:  Radiol Res Pract       Date:  2022-04-23

2.  Validation of automated artificial intelligence segmentation of optical coherence tomography images.

Authors:  Peter M Maloca; Aaron Y Lee; Emanuel R de Carvalho; Mali Okada; Katrin Fasler; Irene Leung; Beat Hörmann; Pascal Kaiser; Susanne Suter; Pascal W Hasler; Javier Zarranz-Ventura; Catherine Egan; Tjebo F C Heeren; Konstantinos Balaskas; Adnan Tufail; Hendrik P N Scholl
Journal:  PLoS One       Date:  2019-08-16       Impact factor: 3.240

Review 3.  Algorithms for the Automated Analysis of Age-Related Macular Degeneration Biomarkers on Optical Coherence Tomography: A Systematic Review.

Authors:  Maximilian W M Wintergerst; Thomas Schultz; Johannes Birtel; Alexander K Schuster; Norbert Pfeiffer; Steffen Schmitz-Valckenberg; Frank G Holz; Robert P Finger
Journal:  Transl Vis Sci Technol       Date:  2017-07-18       Impact factor: 3.283

4.  Association Between Perifoveal Drusen Burden Determined by OCT and Genetic Risk in Early and Intermediate Age-Related Macular Degeneration.

Authors:  Johanna M Seddon; James P Dossett; Rafael Widjajahakim; Bernard Rosner
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-10-01       Impact factor: 4.799

  4 in total

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