{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T20:34:03Z","timestamp":1790109243472,"version":"4.0.1"},"reference-count":19,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T00:00:00Z","timestamp":1739145600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Science"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>Accurate diagnosis is essential for effective cancer treatment, particularly in peritoneal surface malignancies, where failure to detect metastatic lesions can mislead the treatment plan. This study assessed the diagnostic accuracy of staging laparoscopy using the integration of artificial intelligence (AI)\u2010guided photodynamic diagnosis (PDD) with the photosensitizer Phonozen, activated at 405\u2009nm in a rabbit model. To create peritoneal carcinomatosis, VX2 cells were inoculated laparoscopically into the peritoneum of female white New Zealand rabbits. Conventional and PDD\u2010guided laparoscopy utilized a customized light source that emitted broad\u2010spectrum white light or 405\u2010nm blue light, respectively. The surgical procedure comprised a tripartite approach: exploration and labeling of suspected nodules under white\u2010light visualization, identification of additional metastatic tumors under blue\u2010excitation fluorescent light, and confirmatory open laparotomy to locate overlooked nodules by palpation. Our results showed that the initial experimental data from 371 nodules in 14 rabbits, comparing conventional diagnostic laparoscopy and PDD, showed increased detection sensitivity from 67%\u2009\u00b1\u20091.9% (conventional) to 98%\u2009\u00b1\u20090.7% (PDD) in the small\u2010size nodule. In the second experimental data set from 265 nodules in 10 rabbits, the addition of a real\u2010time AI algorithm further increased the sensitivity to 100%\u2009\u00b1\u20090.0%. Combining PDD with AI enhances the detection of peritoneal cancer metastasis in staging laparoscopy.<\/jats:p>","DOI":"10.1111\/cas.70009","type":"journal-article","created":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T07:00:35Z","timestamp":1739257235000},"page":"966-975","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Real\u2010Time, <scp>AI<\/scp>\u2010Guided Photodynamic Laparoscopy Enhances Detection in a Rabbit Model of Peritoneal Cancer Metastasis"],"prefix":"10.1111","volume":"116","author":[{"given":"Adriana","family":"Rivera\u2010Piza","sequence":"first","affiliation":[{"name":"Yonsei\u2010Dongsung Photodynamic Therapy Research Center, Avison Biomedical Research Center Yonsei University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3033-5058","authenticated-orcid":false,"given":"Sung\u2010Ho","family":"Lee","sequence":"additional","affiliation":[{"name":"Yonsei\u2010Dongsung Photodynamic Therapy Research Center, Avison Biomedical Research Center Yonsei University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannah HeeJung","family":"Lee","sequence":"additional","affiliation":[{"name":"Yonsei\u2010Dongsung Photodynamic Therapy Research Center, Avison Biomedical Research Center Yonsei University College of Medicine  Seoul South Korea"},{"name":"Department of Surgery Yonsei University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seungho","family":"Lee","sequence":"additional","affiliation":[{"name":"Yonsei\u2010Dongsung Photodynamic Therapy Research Center, Avison Biomedical Research Center Yonsei University College of Medicine  Seoul South Korea"},{"name":"Department of Surgery Yonsei University College of Medicine  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Su\u2010Jin","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Pathology Gangnam Severance Hospital  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaehyuk","family":"Kim","sequence":"additional","affiliation":[{"name":"CAE Group, Health and Medical Equipment Business Samsung Electronics Co. Ltd.  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