DIE KOMBINATION ENDOSKOPISCHER KLASSIFIKATIONEN ERHÖHT DEREN DIAGNOSTISCHE EFFEKTIVITÄT ZUR HISTOLOGISCHEN VORHERSAGE BEI LATERALLY SPREADING TUMORS (LSTs) ≥ 20 mm

Vladyslav Tkachov; Andrii Klymenko

doi:10.36074/logos-06.02.2026.055

DIE KOMBINATION ENDOSKOPISCHER KLASSIFIKATIONEN ERHÖHT DEREN DIAGNOSTISCHE EFFEKTIVITÄT ZUR HISTOLOGISCHEN VORHERSAGE BEI LATERALLY SPREADING TUMORS (LSTs) ≥ 20 mm

Vladyslav Tkachov; Andrii Klymenko

Conference proceedings: Sammlung wissenschaftlicher Arbeiten «ΛΌГOΣ» zu den Materialien der IX internationalen wissenschaftlich-praktischen Konferenz «Grundlagen der modernen wissenschaftlichen Forschung» (Zürich, Schweizerische Eidgenossenschaft; 6. Februar, 2026)

Section: Medical sciences and Public health

Publication date: 2026/02/06

Pages: 289-292

DOI: 10.36074/logos-06.02.2026.055

ISBN: 978-617-8440-87-9

Publisher: BOLESWA Publishers

Language: de

PDF for indexing Original PDF in OJS archive DOI

Abstract

Das kolorektale Karzinom (KRK) ist eine der führenden malignen Erkrankungen des Gastrointestinaltrakts und stellt weltweit eine erhebliche gesundheitliche Belastung dar. Im Jahr 2022 wurden weltweit nahezu 1,9 Millionen Neuerkrankungen und mehr als 930.000 KRK-bedingte Todesfälle registriert, womit das KRK die dritthäufigste Krebserkrankung und die zweithäufigste Ursache krebsbedingter Mortalität darstellt.

Author affiliations

Vladyslav Tkachov: Saporischschja Staatliche Medizinisch-Pharmazeutische Universität, UKRAINE; ORCID
Andrii Klymenko: Saporischschja Staatliche Medizinisch-Pharmazeutische Universität, UKRAINE; ORCID

References

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[1] Morgan, E., Arnold, M., Gini, A., Lorenzoni, V., Cabasag, C. J., Laversanne, M., Vignat, J., Ferlay, J., Murphy, N., & Bray, F. (2023). Global burden of colorectal cancer in 2020 and 2040: Incidence and mortality estimates from GLOBOCAN. Gut, 72(2), 338–344. https://doi.org/10.1136/gutjnl-2022-327736

[2] Darmadi, D., Mohammadian-Hafshejani, A., & Kheiri, S. (2025). Global disparities in colorectal cancer: Unveiling the present landscape of incidence and mortality rates, analyzing geographical variances, and assessing the Human Development Index. Journal of Preventive Medicine and Hygiene, 65(4), E499–E514. https://doi.org/10.15167/2421-4248/jpmh2024.65.4.3071

[3] Pricope, D. L., Grigoraş, A., Costin, C. A., & Amălinei, C. (2024). Clinicopathological and molecular landscape in colorectal cancer associated with colorectal polyps and inflammatory bowel disease. Romanian Journal of Morphology and Embryology, 65(4), 745–757. https://doi.org/10.47162/RJME.65.4.21

[4] Bogie, R. M. M., Veldman, M. H. J., Snijders, L. A. R. S., Winkens, B., Kaltenbach, T., Masclee, A. A. M., Matsuda, T., Rondagh, E. J. A., Soetikno, R., Tanaka, S., Chiu, H. M., & Sanduleanu-Dascalescu, S. (2018). Endoscopic subtypes of colorectal laterally spreading tumors (LSTs) and the risk of submucosal invasion: A meta-analysis. Endoscopy, 50(3), 263–282. https://doi.org/10.1055/s-0043-121144

[5] Zhao, X., Zhan, Q., Xiang, L., Wang, Y., Wang, X., Li, A., & Liu, S. (2014). Clinicopathological characteristics of laterally spreading colorectal tumor. PLoS ONE, 9(4), e94552. https://doi.org/10.1371/journal.pone.0094552

[6] Burgess, N. G., Hourigan, L. F., Zanati, S. A., Brown, G. J., Singh, R., Williams, S. J., Raftopoulos, S. C., Ormonde, D., Moss, A., Byth, K., Mahajan, H., McLeod, D., &

[7] Bourke, M. J. (2017). Risk stratification for covert invasive cancer among patients referred for colonic endoscopic mucosal resection: A large multicenter cohort. Gastroenterology, 153(3), 732–742.e1. https://doi.org/10.1053/j.gastro.2017.05.047

[8] Sakamoto, T., Akiyama, S., Narasaka, T., & Tuchiya, K. (2025). Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review. DEN Open, 6(1), e70141. https://doi.org/10.1002/deo2.70141

[9] Shahsavari, D., Waqar, M., & Thoguluva Chandrasekar, V. (2023). Image enhanced colonoscopy: Updates and prospects—A review. Translational Gastroenterology and Hepatology, 8, 26. https://doi.org/10.21037/tgh-23-17

[10] Khalaf, K., Fujiyoshi, M. R. A., Spadaccini, M., Rizkala, T., Ramai, D., Colombo, M., Fugazza, A., Facciorusso, A., Carrara, S., Hassan, C., & Repici, A. (2024). From staining techniques to artificial intelligence: A review of colorectal polyps characterization. Medicina (Kaunas), 60(1), 89. https://doi.org/10.3390/medicina60010089

[11] Zhang, Y., Chen, H. Y., Zhou, X. L., Pan, W. S., Zhou, X. X., & Pan, H. H. (2020). Diagnostic efficacy of the Japan narrow-band-imaging expert team and pit pattern classifications for colorectal lesions: A meta-analysis. World Journal of Gastroenterology, 26(40), 6279–6294. https://doi.org/10.3748/wjg.v26.i40.6279