Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems
To determine whether a novel automatic segmentation program, the Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can be applied to spectral-domain optical coherence tomography (SD-OCT) images obtained from different commercially available SD-OCT in eyes with diabetic macular ed...
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| Veröffentlicht in: | Investigative ophthalmology & visual science 2013-11, Vol.54 (12), p.7595-7602 |
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| creator | Lee, Joo Yong Chiu, Stephanie J Srinivasan, Pratul P Izatt, Joseph A Toth, Cynthia A Farsiu, Sina Jaffe, Glenn J |
| description | To determine whether a novel automatic segmentation program, the Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can be applied to spectral-domain optical coherence tomography (SD-OCT) images obtained from different commercially available SD-OCT in eyes with diabetic macular edema (DME).
A novel segmentation framework was used to segment the retina, inner retinal pigment epithelium, and Bruch's membrane on images from eyes with DME acquired by one of two SD-OCT systems, Spectralis or Cirrus high definition (HD)-OCT. Thickness data obtained by the DOCTRAP software were compared with those produced by Spectralis and Cirrus. Measurement agreement and its dependence were assessed using intraclass correlation (ICC).
A total of 40 SD-OCT scans from 20 subjects for each machine were included in the analysis. Spectralis: the mean thickness in the 1-mm central area determined by DOCTRAP and Spectralis was 463.8 ± 107.5 μm and 467.0 ± 108.1 μm, respectively (ICC, 0.999). There was also a high level agreement in surrounding areas (out to 3 mm). Cirrus: the mean thickness in the 1-mm central area was 440.8 ± 183.4 μm and 442.7 ± 182.4 μm by DOCTRAP and Cirrus, respectively (ICC, 0.999). The thickness agreement in surrounding areas (out to 3 mm) was more variable due to Cirrus segmentation errors in one subject (ICC, 0.734-0.999). After manual correction of the errors, there was a high level of thickness agreement in surrounding areas (ICC, 0.997-1.000).
The DOCTRAP may be useful to compare retinal thicknesses in eyes with DME across OCT platforms. |
| doi_str_mv | 10.1167/iovs.13-11762 |
| format | Article |
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A novel segmentation framework was used to segment the retina, inner retinal pigment epithelium, and Bruch's membrane on images from eyes with DME acquired by one of two SD-OCT systems, Spectralis or Cirrus high definition (HD)-OCT. Thickness data obtained by the DOCTRAP software were compared with those produced by Spectralis and Cirrus. Measurement agreement and its dependence were assessed using intraclass correlation (ICC).
A total of 40 SD-OCT scans from 20 subjects for each machine were included in the analysis. Spectralis: the mean thickness in the 1-mm central area determined by DOCTRAP and Spectralis was 463.8 ± 107.5 μm and 467.0 ± 108.1 μm, respectively (ICC, 0.999). There was also a high level agreement in surrounding areas (out to 3 mm). Cirrus: the mean thickness in the 1-mm central area was 440.8 ± 183.4 μm and 442.7 ± 182.4 μm by DOCTRAP and Cirrus, respectively (ICC, 0.999). The thickness agreement in surrounding areas (out to 3 mm) was more variable due to Cirrus segmentation errors in one subject (ICC, 0.734-0.999). After manual correction of the errors, there was a high level of thickness agreement in surrounding areas (ICC, 0.997-1.000).
The DOCTRAP may be useful to compare retinal thicknesses in eyes with DME across OCT platforms.</description><identifier>ISSN: 1552-5783</identifier><identifier>ISSN: 0146-0404</identifier><identifier>EISSN: 1552-5783</identifier><identifier>DOI: 10.1167/iovs.13-11762</identifier><identifier>PMID: 24084089</identifier><language>eng</language><publisher>United States: The Association for Research in Vision and Ophthalmology</publisher><subject>Algorithms ; Diabetic Retinopathy - diagnosis ; Humans ; Image Processing, Computer-Assisted - instrumentation ; Macular Edema - diagnosis ; Organ Size ; Retina - pathology ; Retinal Photoreceptor Cell Inner Segment - pathology ; Retinal Photoreceptor Cell Outer Segment - pathology ; Retinal Pigment Epithelium - pathology ; Software ; Tomography, Optical Coherence - instrumentation ; Tomography, Optical Coherence - methods</subject><ispartof>Investigative ophthalmology & visual science, 2013-11, Vol.54 (12), p.7595-7602</ispartof><rights>Copyright 2013 The Association for Research in Vision and Ophthalmology, Inc. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-b15ce6fad0ce8a74a9637ea8c7eb934be7113287948580b55db24a523c4b9e623</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428560/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4428560/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24084089$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Joo Yong</creatorcontrib><creatorcontrib>Chiu, Stephanie J</creatorcontrib><creatorcontrib>Srinivasan, Pratul P</creatorcontrib><creatorcontrib>Izatt, Joseph A</creatorcontrib><creatorcontrib>Toth, Cynthia A</creatorcontrib><creatorcontrib>Farsiu, Sina</creatorcontrib><creatorcontrib>Jaffe, Glenn J</creatorcontrib><title>Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems</title><title>Investigative ophthalmology & visual science</title><addtitle>Invest Ophthalmol Vis Sci</addtitle><description>To determine whether a novel automatic segmentation program, the Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can be applied to spectral-domain optical coherence tomography (SD-OCT) images obtained from different commercially available SD-OCT in eyes with diabetic macular edema (DME).
A novel segmentation framework was used to segment the retina, inner retinal pigment epithelium, and Bruch's membrane on images from eyes with DME acquired by one of two SD-OCT systems, Spectralis or Cirrus high definition (HD)-OCT. Thickness data obtained by the DOCTRAP software were compared with those produced by Spectralis and Cirrus. Measurement agreement and its dependence were assessed using intraclass correlation (ICC).
A total of 40 SD-OCT scans from 20 subjects for each machine were included in the analysis. Spectralis: the mean thickness in the 1-mm central area determined by DOCTRAP and Spectralis was 463.8 ± 107.5 μm and 467.0 ± 108.1 μm, respectively (ICC, 0.999). There was also a high level agreement in surrounding areas (out to 3 mm). Cirrus: the mean thickness in the 1-mm central area was 440.8 ± 183.4 μm and 442.7 ± 182.4 μm by DOCTRAP and Cirrus, respectively (ICC, 0.999). The thickness agreement in surrounding areas (out to 3 mm) was more variable due to Cirrus segmentation errors in one subject (ICC, 0.734-0.999). After manual correction of the errors, there was a high level of thickness agreement in surrounding areas (ICC, 0.997-1.000).
The DOCTRAP may be useful to compare retinal thicknesses in eyes with DME across OCT platforms.</description><subject>Algorithms</subject><subject>Diabetic Retinopathy - diagnosis</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - instrumentation</subject><subject>Macular Edema - diagnosis</subject><subject>Organ Size</subject><subject>Retina - pathology</subject><subject>Retinal Photoreceptor Cell Inner Segment - pathology</subject><subject>Retinal Photoreceptor Cell Outer Segment - pathology</subject><subject>Retinal Pigment Epithelium - pathology</subject><subject>Software</subject><subject>Tomography, Optical Coherence - instrumentation</subject><subject>Tomography, Optical Coherence - methods</subject><issn>1552-5783</issn><issn>0146-0404</issn><issn>1552-5783</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkUtv1TAQhS0Eog9YskVesknxM3Y2SKhqKVIlNrC2xs6k15DEt7bTKv-An00uLVWRLI01882ZIx1C3nF2xnlrPsZ0V864bDg3rXhBjrnWotHGypfP_kfkpJSfjAnOBXtNjoRidnvdMfl9uYzjSmGpaYIaAy1pqPeQkQ4p04w1zjDSuovh14yl0DhTXLHQ-1h3tI_g8bA0QVhGyBR7nIAOOU00TnCzcRBul5ixp36lIea8bK25p2WPoWYYY6FlLRWn8oa8GmAs-PaxnpIflxffz6-a629fvp5_vm6CtKY2nuuA7QA9C2jBKOhaaRBsMOg7qTwazqWwplNWW-a17r1QoIUMynfYCnlKPj3o7hc_YR9wPvhw-7wZzqtLEN3_kznu3E26c0oJq1u2CXx4FMjpdsFS3RRLwHGEGdNSHFe62zih5YY2D2jIqZSMw9MZztwhPXdIz3Hp_qa38e-fe3ui_8Ul_wDr_5rh</recordid><startdate>20131115</startdate><enddate>20131115</enddate><creator>Lee, Joo Yong</creator><creator>Chiu, Stephanie J</creator><creator>Srinivasan, Pratul P</creator><creator>Izatt, Joseph A</creator><creator>Toth, Cynthia A</creator><creator>Farsiu, Sina</creator><creator>Jaffe, Glenn J</creator><general>The Association for Research in Vision and Ophthalmology</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20131115</creationdate><title>Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems</title><author>Lee, Joo Yong ; Chiu, Stephanie J ; Srinivasan, Pratul P ; Izatt, Joseph A ; Toth, Cynthia A ; Farsiu, Sina ; Jaffe, Glenn J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-b15ce6fad0ce8a74a9637ea8c7eb934be7113287948580b55db24a523c4b9e623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Diabetic Retinopathy - diagnosis</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - instrumentation</topic><topic>Macular Edema - diagnosis</topic><topic>Organ Size</topic><topic>Retina - pathology</topic><topic>Retinal Photoreceptor Cell Inner Segment - pathology</topic><topic>Retinal Photoreceptor Cell Outer Segment - pathology</topic><topic>Retinal Pigment Epithelium - pathology</topic><topic>Software</topic><topic>Tomography, Optical Coherence - instrumentation</topic><topic>Tomography, Optical Coherence - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Joo Yong</creatorcontrib><creatorcontrib>Chiu, Stephanie J</creatorcontrib><creatorcontrib>Srinivasan, Pratul P</creatorcontrib><creatorcontrib>Izatt, Joseph A</creatorcontrib><creatorcontrib>Toth, Cynthia A</creatorcontrib><creatorcontrib>Farsiu, Sina</creatorcontrib><creatorcontrib>Jaffe, Glenn J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Investigative ophthalmology & visual science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Joo Yong</au><au>Chiu, Stephanie J</au><au>Srinivasan, Pratul P</au><au>Izatt, Joseph A</au><au>Toth, Cynthia A</au><au>Farsiu, Sina</au><au>Jaffe, Glenn J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems</atitle><jtitle>Investigative ophthalmology & visual science</jtitle><addtitle>Invest Ophthalmol Vis Sci</addtitle><date>2013-11-15</date><risdate>2013</risdate><volume>54</volume><issue>12</issue><spage>7595</spage><epage>7602</epage><pages>7595-7602</pages><issn>1552-5783</issn><issn>0146-0404</issn><eissn>1552-5783</eissn><abstract>To determine whether a novel automatic segmentation program, the Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can be applied to spectral-domain optical coherence tomography (SD-OCT) images obtained from different commercially available SD-OCT in eyes with diabetic macular edema (DME).
A novel segmentation framework was used to segment the retina, inner retinal pigment epithelium, and Bruch's membrane on images from eyes with DME acquired by one of two SD-OCT systems, Spectralis or Cirrus high definition (HD)-OCT. Thickness data obtained by the DOCTRAP software were compared with those produced by Spectralis and Cirrus. Measurement agreement and its dependence were assessed using intraclass correlation (ICC).
A total of 40 SD-OCT scans from 20 subjects for each machine were included in the analysis. Spectralis: the mean thickness in the 1-mm central area determined by DOCTRAP and Spectralis was 463.8 ± 107.5 μm and 467.0 ± 108.1 μm, respectively (ICC, 0.999). There was also a high level agreement in surrounding areas (out to 3 mm). Cirrus: the mean thickness in the 1-mm central area was 440.8 ± 183.4 μm and 442.7 ± 182.4 μm by DOCTRAP and Cirrus, respectively (ICC, 0.999). The thickness agreement in surrounding areas (out to 3 mm) was more variable due to Cirrus segmentation errors in one subject (ICC, 0.734-0.999). After manual correction of the errors, there was a high level of thickness agreement in surrounding areas (ICC, 0.997-1.000).
The DOCTRAP may be useful to compare retinal thicknesses in eyes with DME across OCT platforms.</abstract><cop>United States</cop><pub>The Association for Research in Vision and Ophthalmology</pub><pmid>24084089</pmid><doi>10.1167/iovs.13-11762</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Diabetic Retinopathy - diagnosis Humans Image Processing, Computer-Assisted - instrumentation Macular Edema - diagnosis Organ Size Retina - pathology Retinal Photoreceptor Cell Inner Segment - pathology Retinal Photoreceptor Cell Outer Segment - pathology Retinal Pigment Epithelium - pathology Software Tomography, Optical Coherence - instrumentation Tomography, Optical Coherence - methods |
| title | Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems |
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