{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T21:01:50Z","timestamp":1789938110530,"version":"4.0.1"},"reference-count":21,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2014,8,28]],"date-time":"2014-08-28T00:00:00Z","timestamp":1409184000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EB009557"],"award-info":[{"award-number":["R01EB009557"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EB009557\u201001S1"],"award-info":[{"award-number":["R01EB009557\u201001S1"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006808","name":"University of North Carolina","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006808","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008980","name":"Medical College of Wisconsin","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008980","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aao-hnsfjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Otolaryngol.--head neck surg."],"published-print":{"date-parts":[[2014,11]]},"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>High failure rates for surgical treatment of nasal airway obstruction (NAO) indicate that better diagnostic tools are needed to improve surgical planning. This study evaluates whether computer models based on a surgeon's edits of presurgery scans can accurately predict results from computer models based on postoperative scans of the same patient using computational fluid dynamics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design<\/jats:title><jats:p>Prospective study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Setting<\/jats:title><jats:p>Academic medical center.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Three\u2010dimensional nasal models were reconstructed from computed tomographic scans of 10 patients with NAO presurgery and 5 to 8\u00a0months postsurgery. To create transcribed\u2010surgery models, the surgeon digitally modified the preoperative reconstruction in each patient to represent physical changes expected from surgery and healing. Steady\u2010state, laminar, inspiratory airflow was simulated in each model under physiologic, pressure\u2010driven conditions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Transcribed\u2010surgery and postsurgery model variables were statistically different from presurgery variables at \u03b1 = 0.05. Unilateral nasal resistance and airflow were not statistically different between transcribed\u2010surgery and postsurgery models, but bilateral resistance was significantly different. Cross\u2010sectional average pressures in transcribed surgery trended with postsurgery. Transcribed\u2010surgery prediction errors of postsurgery bilateral resistance were within 10% to 20% and 20% to 30% in 5 and 4 subjects, respectively. Prediction errors for unilateral resistance were &lt;10%, 10% to 20%, and 20% to 30% in 1, 2, and 4 subjects, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Computational models with modifications mimicking actual surgery and healing have the potential to predict postoperative outcomes. However, software to effectively translate virtual surgery steps into computational models is lacking. The ability to account for healing factors and the current limited virtual surgery tools are challenges that need to be overcome for greater accuracy.<\/jats:p><\/jats:sec>","DOI":"10.1177\/0194599814547497","type":"journal-article","created":{"date-parts":[[2014,8,29]],"date-time":"2014-08-29T03:39:51Z","timestamp":1409283591000},"page":"751-759","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Predicting Postsurgery Nasal Physiology with Computational Modeling: Current Challenges and Limitations"],"prefix":"10.1002","volume":"151","author":[{"given":"Dennis O.","family":"Frank\u2010Ito","sequence":"first","affiliation":[{"name":"Division of Otolaryngology\u2013Head and Neck Surgery Duke University Medical Center Durham North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia S.","family":"Kimbell","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology\/Head and Neck Surgery University of North Carolina Chapel Hill North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Purushottam","family":"Laud","sequence":"additional","affiliation":[{"name":"Division of Biostatistics Institute for Health and Society Medical College of Wisconsin Milwaukee Wisconsin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guilherme J. M.","family":"Garcia","sequence":"additional","affiliation":[{"name":"Biotechnology &amp; Bioengineering Center Medical College of Wisconsin Milwaukee Wisconsin USA"},{"name":"Department of Otolaryngology and Communication Sciences Medical College of Wisconsin Milwaukee Wisconsin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John S.","family":"Rhee","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology and Communication Sciences Medical College of Wisconsin Milwaukee Wisconsin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2014,8,28]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/00005537-200307000-00004"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1097\/MLG.0b013e318159aa26"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/01.mlg.0000157831.46250.ad"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2273.2002.00531.x"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/lary.20777"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0022215106003410"},{"key":"e_1_2_8_8_1","first-page":"118","article-title":"Sub\u2010alar batten grafts as treatment for nasal valve incompetence; description of technique and functional evaluation","volume":"44","author":"Andre RF","year":"2006","journal-title":"Rhinology"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1053\/ajot.2002.30987"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02439733"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.2500\/ajra.2010.24.3428"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1001\/archotol.130.3.324"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2273.1989.tb00366.x"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1055\/s-0030-1262314"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1001\/archfacial.2011.18"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1080\/08958370802130379"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1152\/jappl.2000.89.1.323"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1080\/08958370802320186"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2013.08.007"},{"key":"e_1_2_8_20_1","first-page":"53","article-title":"An overview of numerical modelling of nasal airflow","volume":"44","author":"Bailie N","year":"2006","journal-title":"Rhinology"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1001\/archfacial.2012.182"},{"key":"e_1_2_8_22_1","first-page":"1352","article-title":"Numerical model of a nasal septal perforation","volume":"107","author":"Grant O","year":"2004","journal-title":"Stud Health Technol Inform"}],"container-title":["Otolaryngology\u2013Head and Neck Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1177\/0194599814547497","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1177\/0194599814547497","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/aao-hnsfjournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1177\/0194599814547497","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T09:20:07Z","timestamp":1760952007000},"score":1,"resource":{"primary":{"URL":"https:\/\/aao-hnsfjournals.onlinelibrary.wiley.com\/doi\/10.1177\/0194599814547497"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,28]]},"references-count":21,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2014,11]]}},"alternative-id":["10.1177\/0194599814547497"],"URL":"https:\/\/doi.org\/10.1177\/0194599814547497","archive":["Portico"],"relation":{},"ISSN":["0194-5998","1097-6817"],"issn-type":[{"value":"0194-5998","type":"print"},{"value":"1097-6817","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,28]]},"assertion":[{"value":"2014-02-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2014-07-25","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2014-08-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}