{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T05:35:34Z","timestamp":1778045734037,"version":"3.51.4"},"reference-count":61,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T00:00:00Z","timestamp":1743811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Riga Stradi\u0146\u0161 University Department of Doctoral studies","award":["6-DN-20\/3\/2024"],"award-info":[{"award-number":["6-DN-20\/3\/2024"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cells"],"abstract":"<jats:p>Interstitial cells of Cajal (ICCs) play a key role in gastrointestinal smooth muscle contractions, but their relationship with anal canal function in advanced haemorrhoidal disease (HD) remains poorly understood. This study uses deep neural network (DNN) models to estimate ICC presence and quantity in anal canal tissues affected by HD. Haemorrhoidectomy specimens were collected from patients undergoing surgery with the LigaSure device. A YOLOv11-based machine learning model, trained on 376 immunohistochemical images, automated ICC detection using the CD117 marker, achieving a mean average precision (mAP50) of 92%, with a recall of 86% and precision of 88%. The DNN model accurately identified ICCs in whole-slide images, revealing that one-third of grade III HD patients and 60% of grade IV HD patients had a high ICC density. Preoperatively, pain was reported in 35% of grade III HD patients and 41% of grade IV patients, with a significant reduction following surgery. A significant decrease in bleeding (p &lt; 0.0001) was also noted postoperatively. Notably, patients with postoperative bleeding, diagnosed with stage IV HD, had high ICC density in their anorectal tissues (p = 0.0041), suggesting a potential link between ICC density and HD severity. This AI-driven model, alongside clinical data, may enhance outcome prediction and provide insights into HD pathophysiology.<\/jats:p>","DOI":"10.3390\/cells14070550","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T12:05:56Z","timestamp":1744200356000},"page":"550","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Utilisation of Deep Neural Networks for Estimation of Cajal Cells in the Anal Canal Wall of Patients with Advanced Haemorrhoidal Disease Treated by LigaSure Surgery"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4545-1481","authenticated-orcid":false,"given":"Inese","family":"Fi\u0161ere","sequence":"first","affiliation":[{"name":"Department of Doctoral Studies, R\u012bga Stradi\u0146\u0161 University, Dzirciema Street 16, LV-1007 Riga, Latvia"},{"name":"Surgery Clinic, Pauls Stradins Clinical University Hospital, Pilsonu Street 13, LV-1002 Riga, Latvia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5329-4426","authenticated-orcid":false,"given":"Edgars","family":"Edelmers","sequence":"additional","affiliation":[{"name":"Medical Education Technology Centre, R\u012bga Stradi\u0146\u0161 University, Dzirciema Street 16, LV-1007 Riga, Latvia"},{"name":"Faculty of Computer Science Information Technology and Energy, Riga Technical University, LV-1048 Riga, Latvia"},{"name":"Institute of Electronics and Computer Science, Dzerbenes Street 14, LV-1006 Riga, Latvia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6889-6390","authenticated-orcid":false,"given":"\u0160imons","family":"Svirskis","sequence":"additional","affiliation":[{"name":"Institute of Microbiology and Virology, R\u012bga Stradi\u0146\u0161 University, Ratsup\u012btes Street 5, LV-1067 Riga, Latvia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2616-2668","authenticated-orcid":false,"given":"Val\u0113rija","family":"Groma","sequence":"additional","affiliation":[{"name":"Institute of Anatomy and Anthropology, R\u012bga Stradi\u0146\u0161 University, Dzirciema Street 16, LV-1007 Riga, Latvia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/978-3-319-53357-5_2","article-title":"Anatomy, Physiology, and Pathophysiology of Hemorrhoids","volume":"Volume 2","author":"Ratto","year":"2018","journal-title":"Hemorrhoids. 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