Ratiometric analysis of optical coherence tomography–measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy
Influence of diabetes mellitus (DM) and diabetic retinopathy (DR) on parafoveal retinal thicknesses and their ratios was evaluated. Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography images using open‐source software. Five study groups: (1) healthy control...
Gespeichert in:
| Veröffentlicht in: | Journal of biophotonics 2017-11, Vol.10 (11), p.1430-1441 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1441 |
|---|---|
| container_issue | 11 |
| container_start_page | 1430 |
| container_title | Journal of biophotonics |
| container_volume | 10 |
| creator | Bhaduri, Basanta Shelton, Ryan L. Nolan, Ryan M. Hendren, Lucas Almasov, Alexandra Labriola, Leanne T. Boppart, Stephen A. |
| description | Influence of diabetes mellitus (DM) and diabetic retinopathy (DR) on parafoveal retinal thicknesses and their ratios was evaluated. Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography images using open‐source software. Five study groups: (1) healthy control (HC) subjects, and subjects with (2) controlled DM, (3) uncontrolled DM, (4) controlled DR and (5) uncontrolled DR, were identified. The one‐way analyses of variance (ANOVA) between adjacent study groups (i. e. 1 with 2, 2 with 3, etc) indicated differences in retinal thicknesses and ratios. Overall retinal thickness, ganglion cell layer (GCL) thickness, inner plexiform layer (IPL) thickness, and their combination (GCL+ IPL), appeared to be significantly less in the uncontrolled DM group when compared to controlled DM and controlled DR groups. Although the combination of nerve fiber layer (NFL) and GCL, and IPL thicknesses were not different, their ratio, (NFL+GCL)/IPL, was found to be significantly higher in the controlled DM group compared to the HC group. Comparisons of the controlled DR group with the controlled DM group, and with the uncontrolled DR group, do not show any differences in the layer thicknesses, though several significant ratios were obtained. Ratiometric analysis may provide more sensitive parameters for detecting changes in DR. Picture: A representative segmented OCT image of the human retina is shown.
Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography (SD‐OCT) images using open‐source software. Five study groups were identified and one‐way analyses of variance (ANOVA) were performed between the adjacent study groups. ANOVA indicated differences in thicknesses and their ratios among the study groups. Ratiometric analysis may provide more sensitive parameters for detecting changes in diabetic mellitus (DM) and diabetic retinopathy (DR). |
| doi_str_mv | 10.1002/jbio.201600282 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5673522</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1912194943</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4402-3fdf857c7dbe745043bc47726a29f89e10b5c6507f1a5cdd52e142397ab17bdb3</originalsourceid><addsrcrecordid>eNqFkc1u1DAUhSMEoqWwZYm8ZDODf-NkgwRVgaJKlRBI7Cz_3DQuThxsz6DsuuEJ-oZ9EjKaMsCK1b1XPuc7lk5VPSd4TTCmr66Nj2uKSb0cDX1QHZOm5itc8-bhYWdfj6onOV9jXGMm2OPqiDY1EwTT4-r2ky4-DlCSt0iPOszZZxQ7FKfirQ7Ixh4SjBZQiUO8Snrq57ub2wF03iRwyI93Nz-3fhtRguIXAAp6hoRK7-23EXKGjLq4uwE5KGCXuHEXADqFGTmvzeKze3ecdOnnp9WjTocMz-7nSfXl3dnn0w-ri8v356dvLlaWc0xXrHNdI6SVzoDkAnNmLJeS1pq2XdMCwUbYWmDZES2sc4IC4ZS1UhsijTPspHq9504bM4CzMJakg5qSH3SaVdRe_fsy-l5dxa0StWSC0gXw8h6Q4vcN5KIGny2EoEeIm6xISyhpecvZIl3vpTbFnBN0hxiC1a5JtWtSHZpcDC_-_txB_ru6RdDuBT98gPk_OPXx7fnlH_gvUteyiw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1912194943</pqid></control><display><type>article</type><title>Ratiometric analysis of optical coherence tomography–measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Bhaduri, Basanta ; Shelton, Ryan L. ; Nolan, Ryan M. ; Hendren, Lucas ; Almasov, Alexandra ; Labriola, Leanne T. ; Boppart, Stephen A.</creator><creatorcontrib>Bhaduri, Basanta ; Shelton, Ryan L. ; Nolan, Ryan M. ; Hendren, Lucas ; Almasov, Alexandra ; Labriola, Leanne T. ; Boppart, Stephen A.</creatorcontrib><description>Influence of diabetes mellitus (DM) and diabetic retinopathy (DR) on parafoveal retinal thicknesses and their ratios was evaluated. Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography images using open‐source software. Five study groups: (1) healthy control (HC) subjects, and subjects with (2) controlled DM, (3) uncontrolled DM, (4) controlled DR and (5) uncontrolled DR, were identified. The one‐way analyses of variance (ANOVA) between adjacent study groups (i. e. 1 with 2, 2 with 3, etc) indicated differences in retinal thicknesses and ratios. Overall retinal thickness, ganglion cell layer (GCL) thickness, inner plexiform layer (IPL) thickness, and their combination (GCL+ IPL), appeared to be significantly less in the uncontrolled DM group when compared to controlled DM and controlled DR groups. Although the combination of nerve fiber layer (NFL) and GCL, and IPL thicknesses were not different, their ratio, (NFL+GCL)/IPL, was found to be significantly higher in the controlled DM group compared to the HC group. Comparisons of the controlled DR group with the controlled DM group, and with the uncontrolled DR group, do not show any differences in the layer thicknesses, though several significant ratios were obtained. Ratiometric analysis may provide more sensitive parameters for detecting changes in DR. Picture: A representative segmented OCT image of the human retina is shown.
Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography (SD‐OCT) images using open‐source software. Five study groups were identified and one‐way analyses of variance (ANOVA) were performed between the adjacent study groups. ANOVA indicated differences in thicknesses and their ratios among the study groups. Ratiometric analysis may provide more sensitive parameters for detecting changes in diabetic mellitus (DM) and diabetic retinopathy (DR).</description><identifier>ISSN: 1864-063X</identifier><identifier>EISSN: 1864-0648</identifier><identifier>DOI: 10.1002/jbio.201600282</identifier><identifier>PMID: 28635102</identifier><language>eng</language><publisher>Germany</publisher><subject>Aged ; clinical image analysis ; Diabetes mellitus ; diabetic retinopathy ; Diabetic Retinopathy - diagnostic imaging ; Diabetic Retinopathy - pathology ; Early Diagnosis ; Female ; Humans ; Image Processing, Computer-Assisted - methods ; macula ; Male ; optical coherence tomography ; retina ; Retina - diagnostic imaging ; Retina - pathology ; Tomography, Optical Coherence</subject><ispartof>Journal of biophotonics, 2017-11, Vol.10 (11), p.1430-1441</ispartof><rights>2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim</rights><rights>2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4402-3fdf857c7dbe745043bc47726a29f89e10b5c6507f1a5cdd52e142397ab17bdb3</citedby><cites>FETCH-LOGICAL-c4402-3fdf857c7dbe745043bc47726a29f89e10b5c6507f1a5cdd52e142397ab17bdb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjbio.201600282$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjbio.201600282$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28635102$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bhaduri, Basanta</creatorcontrib><creatorcontrib>Shelton, Ryan L.</creatorcontrib><creatorcontrib>Nolan, Ryan M.</creatorcontrib><creatorcontrib>Hendren, Lucas</creatorcontrib><creatorcontrib>Almasov, Alexandra</creatorcontrib><creatorcontrib>Labriola, Leanne T.</creatorcontrib><creatorcontrib>Boppart, Stephen A.</creatorcontrib><title>Ratiometric analysis of optical coherence tomography–measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy</title><title>Journal of biophotonics</title><addtitle>J Biophotonics</addtitle><description>Influence of diabetes mellitus (DM) and diabetic retinopathy (DR) on parafoveal retinal thicknesses and their ratios was evaluated. Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography images using open‐source software. Five study groups: (1) healthy control (HC) subjects, and subjects with (2) controlled DM, (3) uncontrolled DM, (4) controlled DR and (5) uncontrolled DR, were identified. The one‐way analyses of variance (ANOVA) between adjacent study groups (i. e. 1 with 2, 2 with 3, etc) indicated differences in retinal thicknesses and ratios. Overall retinal thickness, ganglion cell layer (GCL) thickness, inner plexiform layer (IPL) thickness, and their combination (GCL+ IPL), appeared to be significantly less in the uncontrolled DM group when compared to controlled DM and controlled DR groups. Although the combination of nerve fiber layer (NFL) and GCL, and IPL thicknesses were not different, their ratio, (NFL+GCL)/IPL, was found to be significantly higher in the controlled DM group compared to the HC group. Comparisons of the controlled DR group with the controlled DM group, and with the uncontrolled DR group, do not show any differences in the layer thicknesses, though several significant ratios were obtained. Ratiometric analysis may provide more sensitive parameters for detecting changes in DR. Picture: A representative segmented OCT image of the human retina is shown.
Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography (SD‐OCT) images using open‐source software. Five study groups were identified and one‐way analyses of variance (ANOVA) were performed between the adjacent study groups. ANOVA indicated differences in thicknesses and their ratios among the study groups. Ratiometric analysis may provide more sensitive parameters for detecting changes in diabetic mellitus (DM) and diabetic retinopathy (DR).</description><subject>Aged</subject><subject>clinical image analysis</subject><subject>Diabetes mellitus</subject><subject>diabetic retinopathy</subject><subject>Diabetic Retinopathy - diagnostic imaging</subject><subject>Diabetic Retinopathy - pathology</subject><subject>Early Diagnosis</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>macula</subject><subject>Male</subject><subject>optical coherence tomography</subject><subject>retina</subject><subject>Retina - diagnostic imaging</subject><subject>Retina - pathology</subject><subject>Tomography, Optical Coherence</subject><issn>1864-063X</issn><issn>1864-0648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1u1DAUhSMEoqWwZYm8ZDODf-NkgwRVgaJKlRBI7Cz_3DQuThxsz6DsuuEJ-oZ9EjKaMsCK1b1XPuc7lk5VPSd4TTCmr66Nj2uKSb0cDX1QHZOm5itc8-bhYWdfj6onOV9jXGMm2OPqiDY1EwTT4-r2ky4-DlCSt0iPOszZZxQ7FKfirQ7Ixh4SjBZQiUO8Snrq57ub2wF03iRwyI93Nz-3fhtRguIXAAp6hoRK7-23EXKGjLq4uwE5KGCXuHEXADqFGTmvzeKze3ecdOnnp9WjTocMz-7nSfXl3dnn0w-ri8v356dvLlaWc0xXrHNdI6SVzoDkAnNmLJeS1pq2XdMCwUbYWmDZES2sc4IC4ZS1UhsijTPspHq9504bM4CzMJakg5qSH3SaVdRe_fsy-l5dxa0StWSC0gXw8h6Q4vcN5KIGny2EoEeIm6xISyhpecvZIl3vpTbFnBN0hxiC1a5JtWtSHZpcDC_-_txB_ru6RdDuBT98gPk_OPXx7fnlH_gvUteyiw</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Bhaduri, Basanta</creator><creator>Shelton, Ryan L.</creator><creator>Nolan, Ryan M.</creator><creator>Hendren, Lucas</creator><creator>Almasov, Alexandra</creator><creator>Labriola, Leanne T.</creator><creator>Boppart, Stephen A.</creator><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>201711</creationdate><title>Ratiometric analysis of optical coherence tomography–measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy</title><author>Bhaduri, Basanta ; Shelton, Ryan L. ; Nolan, Ryan M. ; Hendren, Lucas ; Almasov, Alexandra ; Labriola, Leanne T. ; Boppart, Stephen A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4402-3fdf857c7dbe745043bc47726a29f89e10b5c6507f1a5cdd52e142397ab17bdb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>clinical image analysis</topic><topic>Diabetes mellitus</topic><topic>diabetic retinopathy</topic><topic>Diabetic Retinopathy - diagnostic imaging</topic><topic>Diabetic Retinopathy - pathology</topic><topic>Early Diagnosis</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>macula</topic><topic>Male</topic><topic>optical coherence tomography</topic><topic>retina</topic><topic>Retina - diagnostic imaging</topic><topic>Retina - pathology</topic><topic>Tomography, Optical Coherence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bhaduri, Basanta</creatorcontrib><creatorcontrib>Shelton, Ryan L.</creatorcontrib><creatorcontrib>Nolan, Ryan M.</creatorcontrib><creatorcontrib>Hendren, Lucas</creatorcontrib><creatorcontrib>Almasov, Alexandra</creatorcontrib><creatorcontrib>Labriola, Leanne T.</creatorcontrib><creatorcontrib>Boppart, Stephen A.</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>Journal of biophotonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhaduri, Basanta</au><au>Shelton, Ryan L.</au><au>Nolan, Ryan M.</au><au>Hendren, Lucas</au><au>Almasov, Alexandra</au><au>Labriola, Leanne T.</au><au>Boppart, Stephen A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ratiometric analysis of optical coherence tomography–measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy</atitle><jtitle>Journal of biophotonics</jtitle><addtitle>J Biophotonics</addtitle><date>2017-11</date><risdate>2017</risdate><volume>10</volume><issue>11</issue><spage>1430</spage><epage>1441</epage><pages>1430-1441</pages><issn>1864-063X</issn><eissn>1864-0648</eissn><abstract>Influence of diabetes mellitus (DM) and diabetic retinopathy (DR) on parafoveal retinal thicknesses and their ratios was evaluated. Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography images using open‐source software. Five study groups: (1) healthy control (HC) subjects, and subjects with (2) controlled DM, (3) uncontrolled DM, (4) controlled DR and (5) uncontrolled DR, were identified. The one‐way analyses of variance (ANOVA) between adjacent study groups (i. e. 1 with 2, 2 with 3, etc) indicated differences in retinal thicknesses and ratios. Overall retinal thickness, ganglion cell layer (GCL) thickness, inner plexiform layer (IPL) thickness, and their combination (GCL+ IPL), appeared to be significantly less in the uncontrolled DM group when compared to controlled DM and controlled DR groups. Although the combination of nerve fiber layer (NFL) and GCL, and IPL thicknesses were not different, their ratio, (NFL+GCL)/IPL, was found to be significantly higher in the controlled DM group compared to the HC group. Comparisons of the controlled DR group with the controlled DM group, and with the uncontrolled DR group, do not show any differences in the layer thicknesses, though several significant ratios were obtained. Ratiometric analysis may provide more sensitive parameters for detecting changes in DR. Picture: A representative segmented OCT image of the human retina is shown.
Six retinal layer boundaries were segmented from spectral‐domain optical coherence tomography (SD‐OCT) images using open‐source software. Five study groups were identified and one‐way analyses of variance (ANOVA) were performed between the adjacent study groups. ANOVA indicated differences in thicknesses and their ratios among the study groups. Ratiometric analysis may provide more sensitive parameters for detecting changes in diabetic mellitus (DM) and diabetic retinopathy (DR).</abstract><cop>Germany</cop><pmid>28635102</pmid><doi>10.1002/jbio.201600282</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1864-063X |
| ispartof | Journal of biophotonics, 2017-11, Vol.10 (11), p.1430-1441 |
| issn | 1864-063X 1864-0648 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5673522 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Aged clinical image analysis Diabetes mellitus diabetic retinopathy Diabetic Retinopathy - diagnostic imaging Diabetic Retinopathy - pathology Early Diagnosis Female Humans Image Processing, Computer-Assisted - methods macula Male optical coherence tomography retina Retina - diagnostic imaging Retina - pathology Tomography, Optical Coherence |
| title | Ratiometric analysis of optical coherence tomography–measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T05%3A57%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ratiometric%20analysis%20of%20optical%20coherence%20tomography%E2%80%93measured%20in%E2%80%85vivo%20retinal%20layer%20thicknesses%20for%20the%20detection%20of%20early%20diabetic%20retinopathy&rft.jtitle=Journal%20of%20biophotonics&rft.au=Bhaduri,%20Basanta&rft.date=2017-11&rft.volume=10&rft.issue=11&rft.spage=1430&rft.epage=1441&rft.pages=1430-1441&rft.issn=1864-063X&rft.eissn=1864-0648&rft_id=info:doi/10.1002/jbio.201600282&rft_dat=%3Cproquest_pubme%3E1912194943%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1912194943&rft_id=info:pmid/28635102&rfr_iscdi=true |