Repeatability and Reproducibility of Eight Macular Intra-Retinal Layer Thicknesses Determined by an Automated Segmentation Algorithm Using Two SD-OCT Instruments
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{"title"=>"Repeatability and reproducibility of eight macular intra-retinal layer thicknesses determined by an automated segmentation algorithm using two SD-OCT instruments", "type"=>"journal", "authors"=>[{"first_name"=>"Xinting", "last_name"=>"Liu", "scopus_author_id"=>"55237464000"}, {"first_name"=>"Meixiao", "last_name"=>"Shen", "scopus_author_id"=>"7401466246"}, {"first_name"=>"Shenghai", "last_name"=>"Huang", "scopus_author_id"=>"56058183000"}, {"first_name"=>"Lin", "last_name"=>"Leng", "scopus_author_id"=>"55953445300"}, {"first_name"=>"Dexi", "last_name"=>"Zhu", "scopus_author_id"=>"7403598906"}, {"first_name"=>"Fan", "last_name"=>"Lu", "scopus_author_id"=>"56903462100"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84895558525", "doi"=>"10.1371/journal.pone.0087996", "sgr"=>"84895558525", "pmid"=>"24505345", "issn"=>"19326203", "pui"=>"372535138"}, "id"=>"3668b20f-1d1b-39d0-a332-ea0b4eb71709", "abstract"=>"PURPOSE: To evaluate the repeatability, reproducibility, and agreement of thickness profile measurements of eight intra-retinal layers determined by an automated algorithm applied to optical coherence tomography (OCT) images from two different instruments.\\n\\nMETHODS: Twenty normal subjects (12 males, 8 females; 24 to 32 years old) were enrolled. Imaging was performed with a custom built ultra-high resolution OCT instrument (UHR-OCT, ∼3 µm resolution) and a commercial RTVue100 OCT (∼5 µm resolution) instrument. An automated algorithm was developed to segment the macular retina into eight layers and quantitate the thickness of each layer. The right eye of each subject was imaged two times by the first examiner using each instrument to assess intra-observer repeatability and once by the second examiner to assess inter-observer reproducibility. The intraclass correlation coefficient (ICC) and coefficients of repeatability and reproducibility (COR) were analyzed to evaluate the reliability.\\n\\nRESULTS: The ICCs for the intra-observer repeatability and inter-observer reproducibility of both SD-OCT instruments were greater than 0.945 for the total retina and all intra-retinal layers, except the photoreceptor inner segments, which ranged from 0.051 to 0.643, and the outer segments, which ranged from 0.709 to 0.959. The CORs were less than 6.73% for the total retina and all intra-retinal layers. The total retinal thickness measured by the UHR-OCT was significantly thinner than that measured by the RTVue100. However, the ICC for agreement of the thickness profiles between UHR-OCT and RTVue OCT were greater than 0.80 except for the inner segment and outer segment layers.\\n\\nCONCLUSIONS: Thickness measurements of the intra-retinal layers determined by the automated algorithm are reliable when applied to images acquired by the UHR-OCT and RTVue100 instruments.", "link"=>"http://www.mendeley.com/research/repeatability-reproducibility-eight-macular-intraretinal-layer-thicknesses-determined-automated-segm", "reader_count"=>7, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Lecturer"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Researcher"=>1, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Lecturer"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Medicine and Dentistry"=>4, "Neuroscience"=>1, "Physics and Astronomy"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Neuroscience"=>{"Neuroscience"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"United Kingdom"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1376803"], "description"=>"<p>(A) The algorithm mistakenly identified the OPL/ONL interface. (B) Corrected segmentation corresponding (A) after applying the semi-automated approach. (C) The algorithm mistakenly identified the RNFL/GCL boundary. (D) Corrected segmentation corresponding (C) after applying the semi-automated approach.</p>", "links"=>[], "tags"=>["algorithms", "signal processing", "Image processing", "statistics", "Biostatistics", "Diagnostic medicine", "Test evaluation", "ophthalmology", "Macular disorders", "Retinal disorders", "radiology", "Diagnostic radiology", "Computed tomography", "errors", "scans", "corresponding", "corrected", "segmentation", "applying", "semi-automated"], "article_id"=>926624, "categories"=>["Mathematics", "Medicine", "Engineering"], "users"=>["Xinting Liu", "Meixiao Shen", "Shenghai Huang", "Lin Leng", "Dexi Zhu", "Fan Lu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087996.g005", "stats"=>{"downloads"=>0, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Segmentation_errors_in_scans_of_lower_image_quality_and_corresponding_corrected_segmentation_after_applying_the_semi_automated_approach_/926624", "title"=>"Segmentation errors in scans of lower image quality and corresponding corrected segmentation after applying the semi-automated approach.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-05 02:47:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376804"], "description"=>"<p>Only the images along the horizontal meridian were analyzed. The horizontal full lines represent the mean of thickness differences, and the horizontal dashed lines represent the mean differences ±1.96 standard deviation.</p>", "links"=>[], "tags"=>["algorithms", "signal processing", "Image processing", "statistics", "Biostatistics", "Diagnostic medicine", "Test evaluation", "ophthalmology", "Macular disorders", "Retinal disorders", "radiology", "Diagnostic radiology", "Computed tomography", "thickness", "automated", "segmentation", "algorithm", "uhr-oct", "rtvue100"], "article_id"=>926625, "categories"=>["Mathematics", "Medicine", "Engineering"], "users"=>["Xinting Liu", "Meixiao Shen", "Shenghai Huang", "Lin Leng", "Dexi Zhu", "Fan Lu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087996.g006", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bland_Altman_plots_of_thickness_measurements_determined_with_the_automated_segmentation_algorithm_on_UHR_OCT_and_RTVue100_images_/926625", "title"=>"Bland-Altman plots of thickness measurements determined with the automated segmentation algorithm on UHR-OCT and RTVue100 images.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-05 02:47:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376805"], "description"=>"<p>P value: tested by paired-t test.</p>", "links"=>[], "tags"=>["algorithms", "signal processing", "Image processing", "statistics", "Biostatistics", "Diagnostic medicine", "Test evaluation", "ophthalmology", "Macular disorders", "Retinal disorders", "radiology", "Diagnostic radiology", "Computed tomography", "thickness", "intra-retinal", "layers", "retina", "uhr-oct", "rtvue100"], "article_id"=>926626, "categories"=>["Mathematics", "Medicine", "Engineering"], "users"=>["Xinting Liu", "Meixiao Shen", "Shenghai Huang", "Lin Leng", "Dexi Zhu", "Fan Lu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087996.t004", "stats"=>{"downloads"=>9, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_the_thickness_measurements_for_eight_intra_retinal_layers_and_total_retina_between_UHR_OCT_and_RTVue100_devices_/926626", "title"=>"Comparison of the thickness measurements for eight intra-retinal layers and total retina between UHR-OCT and RTVue100 devices.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-05 02:47:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376806"], "description"=>"<p>T1: mean thickness for the first measurement by examiner 1; T2: mean thickness for the second measurement by examiner 1; T3: mean thickness for the first measurement by examiner 2; ICCa: intraclass correlation coefficients of repeatability; ICCb: intraclass correlation coefficients of reproducibility; CORa: coefficients of repeatability; CORb: coefficients of reproducibility; n = 20 eyes.</p>", "links"=>[], "tags"=>["algorithms", "signal processing", "Image processing", "statistics", "Biostatistics", "Diagnostic medicine", "Test evaluation", "ophthalmology", "Macular disorders", "Retinal disorders", "radiology", "Diagnostic radiology", "Computed tomography", "reproducibility", "thickness", "intra-retinal", "layers"], "article_id"=>926627, "categories"=>["Mathematics", "Medicine", "Engineering"], "users"=>["Xinting Liu", "Meixiao Shen", "Shenghai Huang", "Lin Leng", "Dexi Zhu", "Fan Lu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087996.t003", "stats"=>{"downloads"=>6, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Repeatability_and_reproducibility_of_thickness_measurements_for_eight_intra_retinal_layers_measured_by_the_RTVue100_/926627", "title"=>"Repeatability and reproducibility of thickness measurements for eight intra-retinal layers measured by the RTVue100.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-05 02:47:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376807"], "description"=>"<p>T1: mean thickness for the first measurement by examiner 1; T2: mean thickness for the second measurement by examiner 1; T3: mean thickness for the first measurement by examiner 2; ICCa: intraclass correlation coefficients of repeatability; ICCb: intraclass correlation coefficients of reproducibility; CORa: coefficients of repeatability; CORb:coefficients of reproducibility; n = 20 eyes.</p>", "links"=>[], "tags"=>["algorithms", "signal processing", "Image processing", "statistics", "Biostatistics", "Diagnostic medicine", "Test evaluation", "ophthalmology", "Macular disorders", "Retinal disorders", "radiology", "Diagnostic radiology", "Computed tomography", "reproducibility", "thickness", "intra-retinal", "layers"], "article_id"=>926628, "categories"=>["Mathematics", "Medicine", "Engineering"], "users"=>["Xinting Liu", "Meixiao Shen", "Shenghai Huang", "Lin Leng", "Dexi Zhu", "Fan Lu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087996.t002", "stats"=>{"downloads"=>4, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Repeatability_and_reproducibility_of_thickness_measurements_for_intra_retinal_layers_measured_by_UHR_OCT_/926628", "title"=>"Repeatability and reproducibility of thickness measurements for intra-retinal layers measured by UHR-OCT.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-05 02:47:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376808"], "description"=>"<p>Configuration of the two OCT instruments.</p>", "links"=>[], "tags"=>["algorithms", "signal processing", "Image processing", "statistics", "Biostatistics", "Diagnostic medicine", "Test evaluation", "ophthalmology", "Macular disorders", "Retinal disorders", "radiology", "Diagnostic radiology", "Computed tomography", "oct"], "article_id"=>926629, "categories"=>["Mathematics", "Medicine", "Engineering"], "users"=>["Xinting Liu", "Meixiao Shen", "Shenghai Huang", "Lin Leng", "Dexi Zhu", "Fan Lu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087996.t001", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Configuration_of_the_two_OCT_instruments_/926629", "title"=>"Configuration of the two OCT instruments.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-02-05 02:47:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/1376798"], "description"=>"<p>As seen in this image taken by UHR-OCT in the horizontal meridian, nine boundaries of intra-retinal layers were visualized. Images taken in the vertical meridian by UHR-OCT and in both meridians by the RTVue100 were similar to this.</p>", "links"=>[], "tags"=>["algorithms", "signal processing", "Image processing", "statistics", "Biostatistics", "Diagnostic medicine", "Test evaluation", "ophthalmology", "Macular disorders", "Retinal disorders", "radiology", "Diagnostic radiology", "Computed tomography", "intra-retinal", "layers", "oct", "macular"], "article_id"=>926619, "categories"=>["Mathematics", "Medicine", "Engineering"], "users"=>["Xinting Liu", "Meixiao Shen", "Shenghai Huang", "Lin Leng", "Dexi Zhu", "Fan Lu"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0087996.g001", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Boundaries_of_intra_retinal_layers_in_OCT_macular_images_/926619", "title"=>"Boundaries of intra-retinal layers in OCT macular images.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-05 02:47:38"}
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Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences/Anatomy", "average_usage"=>[267]}, {"subject_area"=>"/Medicine and health sciences/Anatomy", "average_usage"=>[266]}, {"subject_area"=>"/Medicine and health sciences/Ophthalmology", "average_usage"=>[259, 385]}, {"subject_area"=>"/Medicine and health sciences/Radiology and imaging", "average_usage"=>[246]}]}
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