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Evaluating the growth of eyelid lesions: comparison of clinical evaluation and a software-based model
Purpose To evaluate the accuracy of clinicians in evaluating the growth of eyelid lesions and to compare the measurements of experienced ophthalmologists to a novel computerized measurement method. Design Prospective, single center, observational study. Methods Six experienced ophthalmologists were...
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Published in: | International ophthalmology 2017-12, Vol.37 (6), p.1257-1261 |
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description | Purpose
To evaluate the accuracy of clinicians in evaluating the growth of eyelid lesions and to compare the measurements of experienced ophthalmologists to a novel computerized measurement method.
Design
Prospective, single center, observational study.
Methods
Six experienced ophthalmologists were asked to measure 3 simulated eyelid lesions using a slit lamp. These lesions were then enlarged, and the same examiners were asked to measure the enlarged lesions without prompting that the lesions had changed. Slit lamp photography of the original lesions and enlarged lesions were analyzed using freely available software from the National Institutes of Health. The results of clinician measurements were compared to the software-generated data.
Results
Clinician data regarding the growth of the lesions were as follows: −40.9 to +76.8% for lesion 1, +29.3 to +134.4% for lesion 2, and +148.5 to +1169.2% for lesion 3. Software-based measurements were as follows: +53.6, +100.7, and +182.2% for lesions 1, 2, and 3, respectively.
Conclusions
Monitoring growth of eyelid lesions in clinical practice can be challenging. We propose that using computerized software to analyze surface area of concerning eyelid lesions may provide a significant advantage over current clinical practices. |
doi_str_mv | 10.1007/s10792-016-0394-1 |
format | article |
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To evaluate the accuracy of clinicians in evaluating the growth of eyelid lesions and to compare the measurements of experienced ophthalmologists to a novel computerized measurement method.
Design
Prospective, single center, observational study.
Methods
Six experienced ophthalmologists were asked to measure 3 simulated eyelid lesions using a slit lamp. These lesions were then enlarged, and the same examiners were asked to measure the enlarged lesions without prompting that the lesions had changed. Slit lamp photography of the original lesions and enlarged lesions were analyzed using freely available software from the National Institutes of Health. The results of clinician measurements were compared to the software-generated data.
Results
Clinician data regarding the growth of the lesions were as follows: −40.9 to +76.8% for lesion 1, +29.3 to +134.4% for lesion 2, and +148.5 to +1169.2% for lesion 3. Software-based measurements were as follows: +53.6, +100.7, and +182.2% for lesions 1, 2, and 3, respectively.
Conclusions
Monitoring growth of eyelid lesions in clinical practice can be challenging. We propose that using computerized software to analyze surface area of concerning eyelid lesions may provide a significant advantage over current clinical practices.</description><identifier>ISSN: 0165-5701</identifier><identifier>EISSN: 1573-2630</identifier><identifier>DOI: 10.1007/s10792-016-0394-1</identifier><identifier>PMID: 27832429</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Computer programs ; Computer simulation ; Expansion ; Eye cancer ; Eyelid ; Eyelid Neoplasms - diagnosis ; Head & neck cancer ; Humans ; Lesions ; Medical personnel ; Medicine ; Medicine & Public Health ; Ophthalmology ; Original Paper ; Patient Simulation ; Photography ; Photography - methods ; Prospective Studies ; Reproducibility of Results ; Slit Lamp Microscopy ; Software</subject><ispartof>International ophthalmology, 2017-12, Vol.37 (6), p.1257-1261</ispartof><rights>Springer Science+Business Media Dordrecht 2016</rights><rights>International Ophthalmology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-562455f7f427a69850dca5812d08c7625ebbe1bcc35ab3ab02e49e0644c377813</citedby><cites>FETCH-LOGICAL-c372t-562455f7f427a69850dca5812d08c7625ebbe1bcc35ab3ab02e49e0644c377813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27832429$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Soto, Julie Linden</creatorcontrib><creatorcontrib>Vrcek, Ivan</creatorcontrib><creatorcontrib>Ozgur, Omar</creatorcontrib><creatorcontrib>Mancini, Ronald</creatorcontrib><title>Evaluating the growth of eyelid lesions: comparison of clinical evaluation and a software-based model</title><title>International ophthalmology</title><addtitle>Int Ophthalmol</addtitle><addtitle>Int Ophthalmol</addtitle><description>Purpose
To evaluate the accuracy of clinicians in evaluating the growth of eyelid lesions and to compare the measurements of experienced ophthalmologists to a novel computerized measurement method.
Design
Prospective, single center, observational study.
Methods
Six experienced ophthalmologists were asked to measure 3 simulated eyelid lesions using a slit lamp. These lesions were then enlarged, and the same examiners were asked to measure the enlarged lesions without prompting that the lesions had changed. Slit lamp photography of the original lesions and enlarged lesions were analyzed using freely available software from the National Institutes of Health. The results of clinician measurements were compared to the software-generated data.
Results
Clinician data regarding the growth of the lesions were as follows: −40.9 to +76.8% for lesion 1, +29.3 to +134.4% for lesion 2, and +148.5 to +1169.2% for lesion 3. Software-based measurements were as follows: +53.6, +100.7, and +182.2% for lesions 1, 2, and 3, respectively.
Conclusions
Monitoring growth of eyelid lesions in clinical practice can be challenging. We propose that using computerized software to analyze surface area of concerning eyelid lesions may provide a significant advantage over current clinical practices.</description><subject>Computer programs</subject><subject>Computer simulation</subject><subject>Expansion</subject><subject>Eye cancer</subject><subject>Eyelid</subject><subject>Eyelid Neoplasms - diagnosis</subject><subject>Head & neck cancer</subject><subject>Humans</subject><subject>Lesions</subject><subject>Medical personnel</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Ophthalmology</subject><subject>Original Paper</subject><subject>Patient Simulation</subject><subject>Photography</subject><subject>Photography - methods</subject><subject>Prospective Studies</subject><subject>Reproducibility of Results</subject><subject>Slit Lamp Microscopy</subject><subject>Software</subject><issn>0165-5701</issn><issn>1573-2630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kUtr3DAUhUVpaKZJfkA3RdBNNkp09bCs7kpIHxDIpl0LWb6eOMjWVLIb8u-jYaalFLoS3POdo8u5hLwDfgWcm-sC3FjBODSMS6sYvCIb0EYy0Uj-mmyqoJk2HE7J21IeOefW2OYNORWmlUIJuyF4-8vH1S_jvKXLA9JtTk_LA00DxWeMY08jljHN5SMNadr5PJY079UQx3kMPlI8-uvYzz31tKRhefIZWecL9nRKPcZzcjL4WPDi-J6RH59vv998ZXf3X77dfLpjQRqxMN0IpfVgBiWMb2yreR-8bkH0vA2mERq7DqELQWrfSd9xgcoib5SqftOCPCOXh9xdTj9XLIubxhIwRj9jWouDVloAVSuq6Id_0Me05rlu58Bq01gFxlYKDlTIqZSMg9vlcfL52QF3-xu4ww1crdrtb-D2S7w_Jq_dhP0fx-_SKyAOQKnSvMX819f_TX0BO-GRMw</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Soto, Julie Linden</creator><creator>Vrcek, Ivan</creator><creator>Ozgur, Omar</creator><creator>Mancini, Ronald</creator><general>Springer Netherlands</general><general>Springer Nature B.V</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>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20171201</creationdate><title>Evaluating the growth of eyelid lesions: comparison of clinical evaluation and a software-based model</title><author>Soto, Julie Linden ; 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To evaluate the accuracy of clinicians in evaluating the growth of eyelid lesions and to compare the measurements of experienced ophthalmologists to a novel computerized measurement method.
Design
Prospective, single center, observational study.
Methods
Six experienced ophthalmologists were asked to measure 3 simulated eyelid lesions using a slit lamp. These lesions were then enlarged, and the same examiners were asked to measure the enlarged lesions without prompting that the lesions had changed. Slit lamp photography of the original lesions and enlarged lesions were analyzed using freely available software from the National Institutes of Health. The results of clinician measurements were compared to the software-generated data.
Results
Clinician data regarding the growth of the lesions were as follows: −40.9 to +76.8% for lesion 1, +29.3 to +134.4% for lesion 2, and +148.5 to +1169.2% for lesion 3. Software-based measurements were as follows: +53.6, +100.7, and +182.2% for lesions 1, 2, and 3, respectively.
Conclusions
Monitoring growth of eyelid lesions in clinical practice can be challenging. We propose that using computerized software to analyze surface area of concerning eyelid lesions may provide a significant advantage over current clinical practices.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>27832429</pmid><doi>10.1007/s10792-016-0394-1</doi><tpages>5</tpages></addata></record> |
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subjects | Computer programs Computer simulation Expansion Eye cancer Eyelid Eyelid Neoplasms - diagnosis Head & neck cancer Humans Lesions Medical personnel Medicine Medicine & Public Health Ophthalmology Original Paper Patient Simulation Photography Photography - methods Prospective Studies Reproducibility of Results Slit Lamp Microscopy Software |
title | Evaluating the growth of eyelid lesions: comparison of clinical evaluation and a software-based model |
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