{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T08:01:08Z","timestamp":1785225668622,"version":"3.55.0"},"reference-count":26,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["DEN Open"],"published-print":{"date-parts":[[2027,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>Artificial intelligence (AI)\u2010assisted endoscopy represents a promising approach for lesion detection, yet frequent false\u2010positive detections impair clinical utility by disrupting examinations and diminishing physician confidence. Linked\u2010color imaging (LCI), an image\u2010enhanced endoscopy technique that amplifies mucosal and vascular contrast, may address this limitation. This investigation evaluated whether LCI reduces false\u2010positive AI detections compared with white\u2010light imaging (WLI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective study analyzed consecutive AI\u2010assisted upper endoscopies performed between March 2024 and June 2025. WLI and LCI were performed sequentially within the same endoscopic session in each patient. False\u2010positive AI detections were compared between modalities using two computer\u2010aided detection (CAD) versions. Propensity score adjustment was used as a sensitivity analysis for baseline differences between CAD Versions I and II.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 66 initially screened cases, 63 remained after excluding patients with prior gastric surgery. LCI reduced false\u2010positive AI detections compared with WLI (median 2\u00a0vs. 5;\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.001). In CAD version\u2013stratified sensitivity analyses, LCI reduced false\u2010positive AI detections in both Version I (5 to 2;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.01) and Version II (2 to 0;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.03). This reduction remained consistent across atrophic grades. Both imaging modalities identified all gastric lesions, achieving 100% detection sensitivity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>LCI assessment performed after WLI observation yielded fewer false\u2010positive CAD\u2010EYE detections while maintaining lesion detection sensitivity. However, because the observation sequence was fixed, these findings should be interpreted cautiously and require confirmation in prospective or counterbalanced studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:label\/>\n                    <jats:p>\n                      <jats:bold>Trial Registration<\/jats:bold>\n                      : N\/A (retrospective study).\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/deo2.70381","type":"journal-article","created":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T07:24:20Z","timestamp":1785223460000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Benefit of Linked\u2010Color Imaging in Artificial Intelligence\u2010Assisted Diagnosis of Early Gastric Cancer: A Pilot Study With Propensity Score Adjustment"],"prefix":"10.1002","volume":"7","author":[{"given":"Ahmed Nashaat","family":"Mohamed","sequence":"first","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"},{"name":"International Medical Department Kyushu University Hospital  Fukuoka Japan"},{"name":"The National Hepatology and Tropical Medicine Research Institute  Cairo Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yosuke","family":"Minoda","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"},{"name":"Department of Endoscopic Diagnostics and Therapeutics Kyushu University Hospital  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryohei","family":"Maruoka","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusuke","family":"Suzuki","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroki","family":"Fukuya","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hirotaka","family":"Tsuru","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masafumi","family":"Wada","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshimasa","family":"Tanaka","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takatoshi","family":"Chinen","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomohiko","family":"Moriyama","sequence":"additional","affiliation":[{"name":"International Medical Department Kyushu University Hospital  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haruei","family":"Ogino","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eikichi","family":"Ihara","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshihiro","family":"Ogawa","sequence":"additional","affiliation":[{"name":"Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences Kyushu University  Fukuoka Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"e_1_2_12_2_1","unstructured":"Foundation for Promotion of Cancer Research.Cancer Statistics in Japan 2025.2025. 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