{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T22:16:48Z","timestamp":1762899408784,"version":"3.37.3"},"reference-count":16,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p><jats:italic>Purpose<\/jats:italic>. To build new models with the Ocular Response Analyzer (ORA) waveform parameters to create new indices analogous to established topographic keratoconus indices.<jats:italic> Method<\/jats:italic>. Biomechanical, tomographic, and topographic measurements of 505 eyes from the Homburger Keratoconus Centre were included. Thirty-seven waveform parameters (WF) were derived from the biomechanical measurement with the ORA. Area under curve (ROC, receiver operating characteristic) was used to quantify the screening performance. A logistic regression analysis was used to create two new keratoconus prediction models based on these waveform parameters to resample the clinically established keratoconus indices from Pentacam and TMS-5.<jats:italic> Results<\/jats:italic>. ROC curves show the best results for the waveform parameters p1area, p2area, <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mi>h<\/mml:mi><mml:mn fontstyle=\"italic\">1<\/mml:mn><\/mml:math>, <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>h<\/mml:mi><mml:mn fontstyle=\"italic\">2<\/mml:mn><\/mml:math>, dive1, mslew1, aspect1, aplhf, and dslope1. The new keratoconus prediction model to resample the Pentacam topographic keratoconus index (TKC) was <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">W<\/mml:mi><mml:mi mathvariant=\"normal\">F<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi mathvariant=\"normal\">T<\/mml:mi><mml:mi mathvariant=\"normal\">K<\/mml:mi><mml:mi mathvariant=\"normal\">C<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math> = \u22124.068 + 0.002 \u00d7 p2area \u2212 0.005 \u00d7 dive1 \u2212 0.01 \u00d7<jats:italic> h<\/jats:italic>1 \u2212 2.501 \u00d7 aplhf, which achieves a sensitivity of 90.3% and specificity of 89.4%; to resample the TMS-5 keratoconus classification index (KCI) it was <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">W<\/mml:mi><mml:mi mathvariant=\"normal\">F<\/mml:mi><\/mml:mrow><mml:mrow><mml:mi mathvariant=\"normal\">K<\/mml:mi><mml:mi mathvariant=\"normal\">C<\/mml:mi><mml:mi mathvariant=\"normal\">I<\/mml:mi><\/mml:mrow><\/mml:msub><\/mml:mrow><\/mml:math> = \u22123.606 + 0.002 \u00d7 p2area, which achieves a sensitivity of 75.4% and a specificity of 81.8%.<jats:italic> Conclusion<\/jats:italic>. In addition to the biomechanically provided Keratoconus Index two new indices which were based on the topographic gold standards (either Pentacam or TMS-5) were created. Of course, these do not replace the original topographic measurement.<\/jats:p>","DOI":"10.1155\/2017\/5293573","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T16:01:13Z","timestamp":1486483273000},"page":"1-7","source":"Crossref","is-referenced-by-count":12,"title":["Complementary Keratoconus Indices Based on Topographical Interpretation of Biomechanical Waveform Parameters: A Supplement to Established Keratoconus Indices"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4791-2184","authenticated-orcid":true,"given":"Susanne","family":"Goebels","sequence":"first","affiliation":[{"name":"Department of Ophthalmology, Saarland University Medical Centre, Kirrberger Strasse 100, Bldg. 22, Homburg, 66421 Saar, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0661-6239","authenticated-orcid":true,"given":"Timo","family":"Eppig","sequence":"additional","affiliation":[{"name":"Department of Experimental Ophthalmology, Saarland University, Kirrberger Strasse 100, Bldg. 22, Homburg, 66421 Saar, Germany"}]},{"given":"Stefan","family":"Wagenpfeil","sequence":"additional","affiliation":[{"name":"Institute for Medical Biometry, Epidemiology and Medical Informatics, Saarland University, Campus Homburg, Bldg. 86, Homburg, 66421 Saar, Germany"}]},{"given":"Alan","family":"Cayless","sequence":"additional","affiliation":[{"name":"Department of Physical Sciences, Open University, Milton Keynes MK7 6AA, UK"}]},{"given":"Berthold","family":"Seitz","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Saarland University Medical Centre, Kirrberger Strasse 100, Bldg. 22, Homburg, 66421 Saar, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9175-6177","authenticated-orcid":true,"given":"Achim","family":"Langenbucher","sequence":"additional","affiliation":[{"name":"Department of Experimental Ophthalmology, Saarland University, Kirrberger Strasse 100, Bldg. 22, Homburg, 66421 Saar, Germany"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1097\/ICO.0b013e318243e42d"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1186\/s40662-016-0047-5"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1097\/ICO.0b013e31823cbe85"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/s0039-6257(97)00119-7"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1055\/s-0031-1280224"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcrs.2011.06.029"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1097\/ijg.0000000000000254"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/s00347-013-2917-8"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.clae.2015.01.015"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2015.01.014"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0142(1950)3:1<32::aid-cncr2820030106>3.0.co;2-3"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.09-3689"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1590\/S0004-27492013000200011"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1136\/bjo.2010.188300"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcrs.2013.08.064"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1111\/aos.12056"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2017\/5293573.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2017\/5293573.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2017\/5293573.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T16:01:13Z","timestamp":1486483273000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cmmm\/2017\/5293573\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":16,"alternative-id":["5293573","5293573"],"URL":"https:\/\/doi.org\/10.1155\/2017\/5293573","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"type":"print","value":"1748-670X"},{"type":"electronic","value":"1748-6718"}],"subject":[],"published":{"date-parts":[[2017]]}}}