Choroidal structural analysis in eyes with diabetic retinopathy and diabetic macular edema-A novel OCT based imaging biomarker

To evaluate structural changes in the choroid among patients with diabetic macular edema (DME), with varying grades of diabetic retinopathy (DR), using enhance depth imaging spectral domain optical coherence tomography (EDI SD-OCT) scans. A cross-sectional study was conducted on 82 eyes with DR and...

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Veröffentlicht in:PloS one 2018-12, Vol.13 (12), p.e0207435-e0207435
Hauptverfasser: Gupta, Chanda, Tan, Roy, Mishra, Chitaranjan, Khandelwal, Neha, Raman, Rajiv, Kim, Ramasamy, Agrawal, Rupesh, Sen, Parveen
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Mishra, Chitaranjan
Khandelwal, Neha
Raman, Rajiv
Kim, Ramasamy
Agrawal, Rupesh
Sen, Parveen
description To evaluate structural changes in the choroid among patients with diabetic macular edema (DME), with varying grades of diabetic retinopathy (DR), using enhance depth imaging spectral domain optical coherence tomography (EDI SD-OCT) scans. A cross-sectional study was conducted on 82 eyes with DR and DME and 86 healthy control eyes. Eyes with DME were classified according to the severity of DR as per the international DR severity scale. Sub foveal choroidal thickness (SFCT)was obtained using EDI SD-OCT scans. These scans were binarized into luminal and stromal areas, to derive the choroidal vascularity index (CVI). CVI and SFCT were analyzed between the study and control group using paired-T test. Tukey's test was used to correlate the differences in CVI and SFCT between different grades of DR. Further analysis was done to look for the effect of DR severity and type of DME on CVI as well as SFCT using correlation coefficient and linear regression analysis. SFCT was significantly increased in eyes with DME as compared to the controls (334.47±51.81μm vs 284.53±56.45μm, p
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A cross-sectional study was conducted on 82 eyes with DR and DME and 86 healthy control eyes. Eyes with DME were classified according to the severity of DR as per the international DR severity scale. Sub foveal choroidal thickness (SFCT)was obtained using EDI SD-OCT scans. These scans were binarized into luminal and stromal areas, to derive the choroidal vascularity index (CVI). CVI and SFCT were analyzed between the study and control group using paired-T test. Tukey's test was used to correlate the differences in CVI and SFCT between different grades of DR. Further analysis was done to look for the effect of DR severity and type of DME on CVI as well as SFCT using correlation coefficient and linear regression analysis. SFCT was significantly increased in eyes with DME as compared to the controls (334.47±51.81μm vs 284.53±56.45μm, p&lt;0.001), and showed an ascending trend with worsening of DR, though this difference was not statistically significant [mild non-proliferative diabetic retinopathy (NPDR) = 304.33±40.39μm, moderate NPDR = 327.81±47.39μm, severe NPDR = 357.72±62.65μm, proliferative DR (PDR) = 334.59±47.4μm, p-0.09]. CVI was significantly decreased in DME with DR eyes as compared to controls (63.89±1.89 vs 67.51±2.86, p&lt;0.001). CVI was also significantly decreased with worsening DR (mild NPDR = 66.38±0.3, moderate NPDR = 65.28±0.37, severe NPDR = 63.50±0.47, PDR = 61.27±0.9, p&lt;0.001). SFCT and CVI are dynamic parameters that are affected by DME. Unlike CVI, SFCT is also affected by ocular and systemic factors like edema and hypertension. CVI may be a more accurate surrogate marker for DME and DR and can potentially be used to monitor the progression of DR.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0207435</identifier><identifier>PMID: 30533048</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biological markers ; Biology and Life Sciences ; Biomarkers ; Choroid ; Choroid - diagnostic imaging ; Choroid - pathology ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Cross-Sectional Studies ; Cystoid macular edema ; Development and progression ; Diabetes ; Diabetes mellitus ; Diabetic retinopathy ; Diabetic Retinopathy - diagnostic imaging ; Diabetic Retinopathy - pathology ; Diagnosis ; Direct reduction ; Edema ; Eye ; Eye (anatomy) ; Female ; Health aspects ; Humans ; Hypertension ; Macular degeneration ; Macular Edema - complications ; Macular Edema - diagnostic imaging ; Macular Edema - pathology ; Male ; Medical imaging ; Medical research ; Medicine and Health Sciences ; Middle Aged ; Optical Coherence Tomography ; Optical tomography ; Population ; Regression analysis ; Retina ; Retinopathy ; Statistical analysis ; Structural analysis ; Studies ; Tomography ; Tomography, Optical Coherence</subject><ispartof>PloS one, 2018-12, Vol.13 (12), p.e0207435-e0207435</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Gupta et al. 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A cross-sectional study was conducted on 82 eyes with DR and DME and 86 healthy control eyes. Eyes with DME were classified according to the severity of DR as per the international DR severity scale. Sub foveal choroidal thickness (SFCT)was obtained using EDI SD-OCT scans. These scans were binarized into luminal and stromal areas, to derive the choroidal vascularity index (CVI). CVI and SFCT were analyzed between the study and control group using paired-T test. Tukey's test was used to correlate the differences in CVI and SFCT between different grades of DR. Further analysis was done to look for the effect of DR severity and type of DME on CVI as well as SFCT using correlation coefficient and linear regression analysis. 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CVI may be a more accurate surrogate marker for DME and DR and can potentially be used to monitor the progression of DR.</description><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Choroid</subject><subject>Choroid - diagnostic imaging</subject><subject>Choroid - pathology</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Cross-Sectional Studies</subject><subject>Cystoid macular edema</subject><subject>Development and progression</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetic retinopathy</subject><subject>Diabetic Retinopathy - diagnostic imaging</subject><subject>Diabetic Retinopathy - pathology</subject><subject>Diagnosis</subject><subject>Direct reduction</subject><subject>Edema</subject><subject>Eye</subject><subject>Eye (anatomy)</subject><subject>Female</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Macular degeneration</subject><subject>Macular Edema - complications</subject><subject>Macular Edema - diagnostic imaging</subject><subject>Macular Edema - pathology</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Optical Coherence Tomography</subject><subject>Optical tomography</subject><subject>Population</subject><subject>Regression analysis</subject><subject>Retina</subject><subject>Retinopathy</subject><subject>Statistical analysis</subject><subject>Structural analysis</subject><subject>Studies</subject><subject>Tomography</subject><subject>Tomography, Optical Coherence</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99v0zAQxyMEYmPwHyCwhITgocWOHSd5QaoqflSaVAkGr9bFdhKPNO5sZ9AX_nbcNRsN2gOyFF_sz319d_YlyXOC54Tm5N2lHVwP3Xxrez3HKc4ZzR4kp6Sk6YynmD48sk-SJ95fYpzRgvPHyQmNFsWsOE1-L1vrrFHQIR_cIMPgoglReOeNR6ZHeqc9-mlCi5SBSgcjkYvf3m4htLuIqr8bG5BDBw5ppTcwW6DeXusOrZcXqAKvFTIbaEzfoMrYDbgf2j1NHtXQef1snM-Sbx8_XCw_z87Xn1bLxflM8jINs7TOSU1zTjSrMgqcVZxCxbjGKv5qyqoyJ6TOypJIzoDlEmuVYpXyotwb9Cx5edDddtaLsXRepCRjPGVlWUZidSCUhUuxdTFUtxMWjLhZsK4R4GKOnRY55ITiGFGaV0ynBLJYaKlkXRQsy5WKWu_H04Zqo5XUfYhVnYhOd3rTisZeC54WJcNFFHgzCjh7NWgfxMZ4qbsOem2Hm7gzwgmnPKKv_kHvz26kGogJmL628Vy5FxWLjGeUZHm515rfQ8URr9PI-M5qE9cnDm8nDpEJ-ldoYPBerL5--X92_X3Kvj5iWw1daL3thmBs76cgO4DSWe-dru-KTLDYt8ltNcS-TcTYJtHtxfEF3Tnd9gX9A40iDZc</recordid><startdate>20181211</startdate><enddate>20181211</enddate><creator>Gupta, Chanda</creator><creator>Tan, Roy</creator><creator>Mishra, Chitaranjan</creator><creator>Khandelwal, Neha</creator><creator>Raman, Rajiv</creator><creator>Kim, Ramasamy</creator><creator>Agrawal, Rupesh</creator><creator>Sen, Parveen</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9533-6591</orcidid><orcidid>https://orcid.org/0000-0003-2256-9380</orcidid></search><sort><creationdate>20181211</creationdate><title>Choroidal structural analysis in eyes with diabetic retinopathy and diabetic macular edema-A novel OCT based imaging biomarker</title><author>Gupta, Chanda ; Tan, Roy ; Mishra, Chitaranjan ; Khandelwal, Neha ; Raman, Rajiv ; Kim, Ramasamy ; Agrawal, Rupesh ; Sen, Parveen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-2f71f3761e4b53a64b63ab46e0d53ae34b9711f5991c64a47c0ed20d2689ed203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Choroid</topic><topic>Choroid - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gupta, Chanda</au><au>Tan, Roy</au><au>Mishra, Chitaranjan</au><au>Khandelwal, Neha</au><au>Raman, Rajiv</au><au>Kim, Ramasamy</au><au>Agrawal, Rupesh</au><au>Sen, Parveen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Choroidal structural analysis in eyes with diabetic retinopathy and diabetic macular edema-A novel OCT based imaging biomarker</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-12-11</date><risdate>2018</risdate><volume>13</volume><issue>12</issue><spage>e0207435</spage><epage>e0207435</epage><pages>e0207435-e0207435</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To evaluate structural changes in the choroid among patients with diabetic macular edema (DME), with varying grades of diabetic retinopathy (DR), using enhance depth imaging spectral domain optical coherence tomography (EDI SD-OCT) scans. A cross-sectional study was conducted on 82 eyes with DR and DME and 86 healthy control eyes. Eyes with DME were classified according to the severity of DR as per the international DR severity scale. Sub foveal choroidal thickness (SFCT)was obtained using EDI SD-OCT scans. These scans were binarized into luminal and stromal areas, to derive the choroidal vascularity index (CVI). CVI and SFCT were analyzed between the study and control group using paired-T test. Tukey's test was used to correlate the differences in CVI and SFCT between different grades of DR. Further analysis was done to look for the effect of DR severity and type of DME on CVI as well as SFCT using correlation coefficient and linear regression analysis. SFCT was significantly increased in eyes with DME as compared to the controls (334.47±51.81μm vs 284.53±56.45μm, p&lt;0.001), and showed an ascending trend with worsening of DR, though this difference was not statistically significant [mild non-proliferative diabetic retinopathy (NPDR) = 304.33±40.39μm, moderate NPDR = 327.81±47.39μm, severe NPDR = 357.72±62.65μm, proliferative DR (PDR) = 334.59±47.4μm, p-0.09]. CVI was significantly decreased in DME with DR eyes as compared to controls (63.89±1.89 vs 67.51±2.86, p&lt;0.001). CVI was also significantly decreased with worsening DR (mild NPDR = 66.38±0.3, moderate NPDR = 65.28±0.37, severe NPDR = 63.50±0.47, PDR = 61.27±0.9, p&lt;0.001). SFCT and CVI are dynamic parameters that are affected by DME. Unlike CVI, SFCT is also affected by ocular and systemic factors like edema and hypertension. CVI may be a more accurate surrogate marker for DME and DR and can potentially be used to monitor the progression of DR.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30533048</pmid><doi>10.1371/journal.pone.0207435</doi><tpages>e0207435</tpages><orcidid>https://orcid.org/0000-0001-9533-6591</orcidid><orcidid>https://orcid.org/0000-0003-2256-9380</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; PLoS_OA刊; PubMed Central; Directory of Open Access Journals; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library
subjects Biological markers
Biology and Life Sciences
Biomarkers
Choroid
Choroid - diagnostic imaging
Choroid - pathology
Correlation analysis
Correlation coefficient
Correlation coefficients
Cross-Sectional Studies
Cystoid macular edema
Development and progression
Diabetes
Diabetes mellitus
Diabetic retinopathy
Diabetic Retinopathy - diagnostic imaging
Diabetic Retinopathy - pathology
Diagnosis
Direct reduction
Edema
Eye
Eye (anatomy)
Female
Health aspects
Humans
Hypertension
Macular degeneration
Macular Edema - complications
Macular Edema - diagnostic imaging
Macular Edema - pathology
Male
Medical imaging
Medical research
Medicine and Health Sciences
Middle Aged
Optical Coherence Tomography
Optical tomography
Population
Regression analysis
Retina
Retinopathy
Statistical analysis
Structural analysis
Studies
Tomography
Tomography, Optical Coherence
title Choroidal structural analysis in eyes with diabetic retinopathy and diabetic macular edema-A novel OCT based imaging biomarker
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