The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening
The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening Peter Henry Scanlon , MRCP 1 , Chris Foy , MSC 2 , Raman Malhotra , FRCO, PHTH 3 and Stephen J. Aldington , DMS 4 1 Department of Ophthalmology, Cheltenham General Hospital...
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description | The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening
Peter Henry Scanlon , MRCP 1 ,
Chris Foy , MSC 2 ,
Raman Malhotra , FRCO, PHTH 3 and
Stephen J. Aldington , DMS 4
1 Department of Ophthalmology, Cheltenham General Hospital, Cheltenham, U.K.
2 R&D Support Unit, Gloucester Hospitals National Health Service Trust, Gloucester, U.K.
3 Oxford Eye Hospital, Oxford, U.K.
4 Retinopathy Grading Centre, Imperial College, London, U.K.
Address correspondence and reprint requests to Dr. Peter Scanlon, Gloucestershire Eye Unit, Cheltenham General Hospital, Sandford
Road, Cheltenham, GL53 7AN, U.K. E-mail: peter.scanlon{at}glos.nhs.uk
Abstract
OBJECTIVE —To evaluate the effect of age, duration of diabetes, cataract, and pupil size on the image quality in digital photographic
screening.
RESEARCH DESIGN AND METHODS —Randomized groups of 3,650 patients had one-field, nonmydriatic, 45° digital retinal imaging photography before mydriatic
two-field photography. A total of 1,549 patients were then examined by an experienced ophthalmologist. Outcome measures were
ungradable image rates, age, duration of diabetes, detection of referable diabetic retinopathy, presence of early or obvious
central cataract, pupil diameter, and iris color.
RESULTS —The ungradable image rate for nonmydriatic photography was 19.7% (95% CI 18.4–21.0) and for mydriatic photography was 3.7%
(3.1–4.3). The odds of having one eye ungradable increased by 2.6% (1.6–3.7) for each extra year since diagnosis for nonmydriatic,
by 4.1% (2.7–5.7) for mydriatic photography irrespective of age, by 5.8% (5.0–6.7) for nonmydriatic, and by 8.4% (6.5–10.4)
for mydriatic photography for every extra year of age, irrespective of years since diagnosis. Obvious central cataract was
present in 57% of ungradable mydriatic photographs, early cataract in 21%, no cataract in 9%, and 13% had other pathologies.
The pupil diameter in the ungradable eyes showed a significant trend ( P < 0.001) in the three groups (obvious cataract 4.434, early cataract 3.379, and no cataract 2.750).
CONCLUSIONS —The strongest predictor of ungradable image rates, both for nonmydriatic and mydriatic digital photography, is the age of
the person with diabetes. The most common cause of ungradable images was obvious central cataract.
Footnotes
A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.
Accept |
doi_str_mv | 10.2337/diacare.28.10.2448 |
format | Article |
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Peter Henry Scanlon , MRCP 1 ,
Chris Foy , MSC 2 ,
Raman Malhotra , FRCO, PHTH 3 and
Stephen J. Aldington , DMS 4
1 Department of Ophthalmology, Cheltenham General Hospital, Cheltenham, U.K.
2 R&D Support Unit, Gloucester Hospitals National Health Service Trust, Gloucester, U.K.
3 Oxford Eye Hospital, Oxford, U.K.
4 Retinopathy Grading Centre, Imperial College, London, U.K.
Address correspondence and reprint requests to Dr. Peter Scanlon, Gloucestershire Eye Unit, Cheltenham General Hospital, Sandford
Road, Cheltenham, GL53 7AN, U.K. E-mail: peter.scanlon{at}glos.nhs.uk
Abstract
OBJECTIVE —To evaluate the effect of age, duration of diabetes, cataract, and pupil size on the image quality in digital photographic
screening.
RESEARCH DESIGN AND METHODS —Randomized groups of 3,650 patients had one-field, nonmydriatic, 45° digital retinal imaging photography before mydriatic
two-field photography. A total of 1,549 patients were then examined by an experienced ophthalmologist. Outcome measures were
ungradable image rates, age, duration of diabetes, detection of referable diabetic retinopathy, presence of early or obvious
central cataract, pupil diameter, and iris color.
RESULTS —The ungradable image rate for nonmydriatic photography was 19.7% (95% CI 18.4–21.0) and for mydriatic photography was 3.7%
(3.1–4.3). The odds of having one eye ungradable increased by 2.6% (1.6–3.7) for each extra year since diagnosis for nonmydriatic,
by 4.1% (2.7–5.7) for mydriatic photography irrespective of age, by 5.8% (5.0–6.7) for nonmydriatic, and by 8.4% (6.5–10.4)
for mydriatic photography for every extra year of age, irrespective of years since diagnosis. Obvious central cataract was
present in 57% of ungradable mydriatic photographs, early cataract in 21%, no cataract in 9%, and 13% had other pathologies.
The pupil diameter in the ungradable eyes showed a significant trend ( P < 0.001) in the three groups (obvious cataract 4.434, early cataract 3.379, and no cataract 2.750).
CONCLUSIONS —The strongest predictor of ungradable image rates, both for nonmydriatic and mydriatic digital photography, is the age of
the person with diabetes. The most common cause of ungradable images was obvious central cataract.
Footnotes
A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.
Accepted June 23, 2005.
Received February 9, 2005.
DIABETES CARE</description><identifier>ISSN: 0149-5992</identifier><identifier>EISSN: 1935-5548</identifier><identifier>DOI: 10.2337/diacare.28.10.2448</identifier><identifier>PMID: 16186278</identifier><identifier>CODEN: DICAD2</identifier><language>eng</language><publisher>Alexandria, VA: American Diabetes Association</publisher><subject>Adult ; Age ; Age Factors ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Care and treatment ; Cataract ; Cataract - complications ; Cataracts ; Diabetes ; Diabetes Mellitus, Type 1 - complications ; Diabetes Mellitus, Type 2 - complications ; Diabetes. Impaired glucose tolerance ; Diabetic Retinopathy - complications ; Diabetic Retinopathy - diagnosis ; Diagnosis ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Eye Color ; Eyes & eyesight ; Female ; Humans ; Impact analysis ; Iris ; Lens diseases ; Male ; Medical sciences ; Medical screening ; Middle Aged ; Ophthalmology ; Patient Participation ; Photography ; Photography - instrumentation ; Pupil ; Vision Screening - instrumentation ; Vision Screening - methods ; Vision Screening - standards ; Visual Acuity</subject><ispartof>Diabetes care, 2005-10, Vol.28 (10), p.2448-2453</ispartof><rights>2006 INIST-CNRS</rights><rights>COPYRIGHT 2005 American Diabetes Association</rights><rights>Copyright American Diabetes Association Oct 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c515t-824f6b38a2720c31d468cd6e1fec6b880a891aa84d03e51982d7265777bec78b3</citedby><cites>FETCH-LOGICAL-c515t-824f6b38a2720c31d468cd6e1fec6b880a891aa84d03e51982d7265777bec78b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17164981$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16186278$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>SCANLON, Peter Henry</creatorcontrib><creatorcontrib>FOY, Chris</creatorcontrib><creatorcontrib>MALHOTRA, Raman</creatorcontrib><creatorcontrib>ALDINGTON, Stephen J</creatorcontrib><title>The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening</title><title>Diabetes care</title><addtitle>Diabetes Care</addtitle><description>The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening
Peter Henry Scanlon , MRCP 1 ,
Chris Foy , MSC 2 ,
Raman Malhotra , FRCO, PHTH 3 and
Stephen J. Aldington , DMS 4
1 Department of Ophthalmology, Cheltenham General Hospital, Cheltenham, U.K.
2 R&D Support Unit, Gloucester Hospitals National Health Service Trust, Gloucester, U.K.
3 Oxford Eye Hospital, Oxford, U.K.
4 Retinopathy Grading Centre, Imperial College, London, U.K.
Address correspondence and reprint requests to Dr. Peter Scanlon, Gloucestershire Eye Unit, Cheltenham General Hospital, Sandford
Road, Cheltenham, GL53 7AN, U.K. E-mail: peter.scanlon{at}glos.nhs.uk
Abstract
OBJECTIVE —To evaluate the effect of age, duration of diabetes, cataract, and pupil size on the image quality in digital photographic
screening.
RESEARCH DESIGN AND METHODS —Randomized groups of 3,650 patients had one-field, nonmydriatic, 45° digital retinal imaging photography before mydriatic
two-field photography. A total of 1,549 patients were then examined by an experienced ophthalmologist. Outcome measures were
ungradable image rates, age, duration of diabetes, detection of referable diabetic retinopathy, presence of early or obvious
central cataract, pupil diameter, and iris color.
RESULTS —The ungradable image rate for nonmydriatic photography was 19.7% (95% CI 18.4–21.0) and for mydriatic photography was 3.7%
(3.1–4.3). The odds of having one eye ungradable increased by 2.6% (1.6–3.7) for each extra year since diagnosis for nonmydriatic,
by 4.1% (2.7–5.7) for mydriatic photography irrespective of age, by 5.8% (5.0–6.7) for nonmydriatic, and by 8.4% (6.5–10.4)
for mydriatic photography for every extra year of age, irrespective of years since diagnosis. Obvious central cataract was
present in 57% of ungradable mydriatic photographs, early cataract in 21%, no cataract in 9%, and 13% had other pathologies.
The pupil diameter in the ungradable eyes showed a significant trend ( P < 0.001) in the three groups (obvious cataract 4.434, early cataract 3.379, and no cataract 2.750).
CONCLUSIONS —The strongest predictor of ungradable image rates, both for nonmydriatic and mydriatic digital photography, is the age of
the person with diabetes. The most common cause of ungradable images was obvious central cataract.
Footnotes
A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.
Accepted June 23, 2005.
Received February 9, 2005.
DIABETES CARE</description><subject>Adult</subject><subject>Age</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Care and treatment</subject><subject>Cataract</subject><subject>Cataract - complications</subject><subject>Cataracts</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 1 - complications</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Diabetic Retinopathy - complications</subject><subject>Diabetic Retinopathy - diagnosis</subject><subject>Diagnosis</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Etiopathogenesis. Screening. Investigations. Target tissue resistance</subject><subject>Eye Color</subject><subject>Eyes & eyesight</subject><subject>Female</subject><subject>Humans</subject><subject>Impact analysis</subject><subject>Iris</subject><subject>Lens diseases</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medical screening</subject><subject>Middle Aged</subject><subject>Ophthalmology</subject><subject>Patient Participation</subject><subject>Photography</subject><subject>Photography - instrumentation</subject><subject>Pupil</subject><subject>Vision Screening - instrumentation</subject><subject>Vision Screening - methods</subject><subject>Vision Screening - standards</subject><subject>Visual Acuity</subject><issn>0149-5992</issn><issn>1935-5548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkl9r2zAUxc3YWLNuX2APQwy2l8WZJdmW9BjS_QkU1q3ds7mWr20VR04lmdG-9KtPWQyFEfQgOPyO7uEeJclbmq0Y5-JzY0CDwxWTq4OU5_JZsqCKF2lR5PJ5sshortJCKXaWvPL-NsuyyMiXyRktqSyZkIvk8aZHsrXtMKHVSMaWrDtckovJQTCjPQgXBmoM6JdkAwEc6LAkYBtyNe3NQK7NQ7RZst1Bh-TnBIMJ98TYaOtMgIFc9WMYOwf73mjyC4OxUbzWDtEa271OXrQweHwz3-fJ769fbjbf08sf37ab9WWqC1qEVLK8LWsugQmWaU6bvJS6KZG2qMtaygykogAybzKOBVWSNYKVhRCiRi1kzc-Tj8d39268m9CHame8xmEAi-PkqzLugyuVR_D9f-DtOLmY2VeM8YwXTKgIpUeogwErY9sxxL10aNHBMFpsTZTXlAt1yMAjvzrBx9PgzuiTBnY0aDd677Ct9s7swN1XNKsO5Vdz-RWT_6RYbDS9m6NP9Q6bJ8vcdgQ-zAB4DUPrwGrjnzhBy1xJGrlPR643Xf_HxCnN_AdOjf0Lw__GOg</recordid><startdate>20051001</startdate><enddate>20051001</enddate><creator>SCANLON, Peter Henry</creator><creator>FOY, Chris</creator><creator>MALHOTRA, Raman</creator><creator>ALDINGTON, Stephen J</creator><general>American Diabetes Association</general><scope>IQODW</scope><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>3V.</scope><scope>7RV</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>20051001</creationdate><title>The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening</title><author>SCANLON, Peter Henry ; FOY, Chris ; MALHOTRA, Raman ; ALDINGTON, Stephen J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c515t-824f6b38a2720c31d468cd6e1fec6b880a891aa84d03e51982d7265777bec78b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>Age</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Care and treatment</topic><topic>Cataract</topic><topic>Cataract - complications</topic><topic>Cataracts</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 1 - complications</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Diabetic Retinopathy - complications</topic><topic>Diabetic Retinopathy - diagnosis</topic><topic>Diagnosis</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Etiopathogenesis. Screening. Investigations. Target tissue resistance</topic><topic>Eye Color</topic><topic>Eyes & eyesight</topic><topic>Female</topic><topic>Humans</topic><topic>Impact analysis</topic><topic>Iris</topic><topic>Lens diseases</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medical screening</topic><topic>Middle Aged</topic><topic>Ophthalmology</topic><topic>Patient Participation</topic><topic>Photography</topic><topic>Photography - instrumentation</topic><topic>Pupil</topic><topic>Vision Screening - instrumentation</topic><topic>Vision Screening - methods</topic><topic>Vision Screening - standards</topic><topic>Visual Acuity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SCANLON, Peter Henry</creatorcontrib><creatorcontrib>FOY, Chris</creatorcontrib><creatorcontrib>MALHOTRA, Raman</creatorcontrib><creatorcontrib>ALDINGTON, Stephen J</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Agricultural Science Database</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SCANLON, Peter Henry</au><au>FOY, Chris</au><au>MALHOTRA, Raman</au><au>ALDINGTON, Stephen J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening</atitle><jtitle>Diabetes care</jtitle><addtitle>Diabetes Care</addtitle><date>2005-10-01</date><risdate>2005</risdate><volume>28</volume><issue>10</issue><spage>2448</spage><epage>2453</epage><pages>2448-2453</pages><issn>0149-5992</issn><eissn>1935-5548</eissn><coden>DICAD2</coden><abstract>The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening
Peter Henry Scanlon , MRCP 1 ,
Chris Foy , MSC 2 ,
Raman Malhotra , FRCO, PHTH 3 and
Stephen J. Aldington , DMS 4
1 Department of Ophthalmology, Cheltenham General Hospital, Cheltenham, U.K.
2 R&D Support Unit, Gloucester Hospitals National Health Service Trust, Gloucester, U.K.
3 Oxford Eye Hospital, Oxford, U.K.
4 Retinopathy Grading Centre, Imperial College, London, U.K.
Address correspondence and reprint requests to Dr. Peter Scanlon, Gloucestershire Eye Unit, Cheltenham General Hospital, Sandford
Road, Cheltenham, GL53 7AN, U.K. E-mail: peter.scanlon{at}glos.nhs.uk
Abstract
OBJECTIVE —To evaluate the effect of age, duration of diabetes, cataract, and pupil size on the image quality in digital photographic
screening.
RESEARCH DESIGN AND METHODS —Randomized groups of 3,650 patients had one-field, nonmydriatic, 45° digital retinal imaging photography before mydriatic
two-field photography. A total of 1,549 patients were then examined by an experienced ophthalmologist. Outcome measures were
ungradable image rates, age, duration of diabetes, detection of referable diabetic retinopathy, presence of early or obvious
central cataract, pupil diameter, and iris color.
RESULTS —The ungradable image rate for nonmydriatic photography was 19.7% (95% CI 18.4–21.0) and for mydriatic photography was 3.7%
(3.1–4.3). The odds of having one eye ungradable increased by 2.6% (1.6–3.7) for each extra year since diagnosis for nonmydriatic,
by 4.1% (2.7–5.7) for mydriatic photography irrespective of age, by 5.8% (5.0–6.7) for nonmydriatic, and by 8.4% (6.5–10.4)
for mydriatic photography for every extra year of age, irrespective of years since diagnosis. Obvious central cataract was
present in 57% of ungradable mydriatic photographs, early cataract in 21%, no cataract in 9%, and 13% had other pathologies.
The pupil diameter in the ungradable eyes showed a significant trend ( P < 0.001) in the three groups (obvious cataract 4.434, early cataract 3.379, and no cataract 2.750).
CONCLUSIONS —The strongest predictor of ungradable image rates, both for nonmydriatic and mydriatic digital photography, is the age of
the person with diabetes. The most common cause of ungradable images was obvious central cataract.
Footnotes
A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.
Accepted June 23, 2005.
Received February 9, 2005.
DIABETES CARE</abstract><cop>Alexandria, VA</cop><pub>American Diabetes Association</pub><pmid>16186278</pmid><doi>10.2337/diacare.28.10.2448</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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recordid | cdi_pubmed_primary_16186278 |
source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Adult Age Age Factors Aged Aged, 80 and over Biological and medical sciences Care and treatment Cataract Cataract - complications Cataracts Diabetes Diabetes Mellitus, Type 1 - complications Diabetes Mellitus, Type 2 - complications Diabetes. Impaired glucose tolerance Diabetic Retinopathy - complications Diabetic Retinopathy - diagnosis Diagnosis Endocrine pancreas. Apud cells (diseases) Endocrinopathies Etiopathogenesis. Screening. Investigations. Target tissue resistance Eye Color Eyes & eyesight Female Humans Impact analysis Iris Lens diseases Male Medical sciences Medical screening Middle Aged Ophthalmology Patient Participation Photography Photography - instrumentation Pupil Vision Screening - instrumentation Vision Screening - methods Vision Screening - standards Visual Acuity |
title | The Influence of Age, Duration of Diabetes, Cataract, and Pupil Size on Image Quality in Digital Photographic Retinal Screening |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T21%3A16%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Influence%20of%20Age,%20Duration%20of%20Diabetes,%20Cataract,%20and%20Pupil%20Size%20on%20Image%20Quality%20in%20Digital%20Photographic%20Retinal%20Screening&rft.jtitle=Diabetes%20care&rft.au=SCANLON,%20Peter%20Henry&rft.date=2005-10-01&rft.volume=28&rft.issue=10&rft.spage=2448&rft.epage=2453&rft.pages=2448-2453&rft.issn=0149-5992&rft.eissn=1935-5548&rft.coden=DICAD2&rft_id=info:doi/10.2337/diacare.28.10.2448&rft_dat=%3Cgale_pubme%3EA137965773%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=223035279&rft_id=info:pmid/16186278&rft_galeid=A137965773&rfr_iscdi=true |