{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T07:44:58Z","timestamp":1791791098882,"version":"4.3.4"},"reference-count":19,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T00:00:00Z","timestamp":1791676800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T00:00:00Z","timestamp":1791676800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81770977"],"award-info":[{"award-number":["81770977"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010270","name":"Capital Health Research and Development of Special Fund","doi-asserted-by":"publisher","award":["2020\u20111\u20112051"],"award-info":[{"award-number":["2020\u20111\u20112051"]}],"id":[{"id":"10.13039\/501100010270","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["World j. otorhinolaryngol.-head neck surg."],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to compare image feature identification and diagnostic performance between artificial intelligence\u2010aided image\u2010enhanced endoscopy (using the Storz Professional Image Enhancement System, SPIES) and conventional white\u2010light endoscopy (WLE) for sinonasal inverted papilloma (SIP).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 163 patients were investigated using Storz Professional Image Enhancement System (SPIES) endoscopy (SPIES Spectral A[SA]\/Spectral B[SB]) and WLE. From each patient, one or two images (only in the presence of bilateral lesions) were obtained, and a large number of potential features were extracted from WLE, SA, and SB. Independent t\u2010tests and LASSO methods were used to feature selection. Machine learning (ML) models were trained and evaluated for each channel of images.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The Random Forest (RF) algorithm on SPIES SB mode achieved superior performance: accuracy\u2009=\u20090.86, sensitivity\u2009=\u20090.89, specificity\u2009=\u20090.83, AUC\u2009=\u20090.86, and Kappa\u2009=\u20090.71. SB significantly outperformed SA (accuracy\u2009=\u20090.77) and WLE (accuracy=0.75). ROC analysis confirmed SB's diagnostic superiority (area under curve [AUC]: SB\u2009=\u20090.86 vs. SA\u2009=\u20090.77, WLE\u2009=\u20090.75).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>SPIES SB mode demonstrated the highest diagnostic accuracy and AUC for SIP identification, highlighting its potential as a superior imaging modality. SPIES endoscopy exhibits superior diagnostic accuracy and predictive performance compared to conventional WLE in the diagnosis of SIP. However, the single\u2010center design and limited sample size necessitate validation through multicenter studies with larger cohorts.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/wjo2.70179","type":"journal-article","created":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T06:48:57Z","timestamp":1791787737000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence\u2010Optimized Image Biomarker Identification for Sinonasal Inverted Papilloma Diagnosis Using Image\u2010Enhanced Versus White\u2010Light Endoscopy"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5185-3842","authenticated-orcid":false,"given":"Zhen\u2010Xiao","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Otolaryngology Head and Neck Surgery Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology and Head and Neck Surgery, Ministry of Education Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology Tsinghua University Hospital Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Diagnosis and Treatment of Thyroid Diseases Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital) Qingdao China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying\u2010Hong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology Head and Neck Surgery Peking University Third Hospital Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9042-4015","authenticated-orcid":false,"given":"Gui\u2010Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Head and Neck Surgery Tianjin First Central Hospital Tianjin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology Head and Neck Surgery Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology and Head and Neck Surgery, Ministry of Education Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0161-3311","authenticated-orcid":false,"given":"Zu\u2010Fei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology Head and Neck Surgery Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology and Head and Neck Surgery, Ministry of Education Beijing China"},{"name":"Department of Otolaryngology Head and Neck Surgery Beijing Chaoyang Hospital, Capital Medical University Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9519-5880","authenticated-orcid":false,"given":"Michael T.","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology Head &amp; Neck Surgery Stanford University School of Medicine Stanford California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3411-0537","authenticated-orcid":false,"given":"Bing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology Head and Neck Surgery Beijing Tongren Hospital, Capital Medical University, Key Laboratory of Otolaryngology and Head and Neck Surgery, Ministry of Education Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,11]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/hed.24481"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1017\/S002221510700624X"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1288\/00005537-199502000-00013"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/lary.30128"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1102\/1470-7330.2012.0015"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1080\/00016489.2021.1890819"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjoto.2021.103323"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.4172\/1948-5956.1000394"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018181408"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ebiom.2018.07.029"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-025-03698-y"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/lary.31555"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.2019"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mbs.2018.06.004"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-38913-0"},{"key":"e_1_2_11_17_1","first-page":"2","article-title":"The Using of Gray Level Co\u2010Occurrenc Matrix for Features Extraction of the Breast Cancer Biopsy Image (GLCM)","volume":"1","author":"George L. 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