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Background <p>Treatment pathways for significant rectal polyps differ depending on the underlying pathology, but pre-excision profiling is imperfect.</p> Objectives <p>The CLASSICA study is a&#xa0;prospective, unblinded multicentre European observational study aimed to validate the use of artificial intelligence (AI) analysis of indocyanine green (ICG) fluorescence for intraoperative tissue characterization.</p> Materials and methods <p>In all, 600&#xa0;patients undergoing transanal endoscopic evaluation of significant rectal polyps and tumours will be enrolled in at least five clinical sites across the European Union over a&#xa0;4-year period.</p> Results <p>Implementation of fluorescence angiography in colorectal surgery has meanwhile led to improvement of defining resection margins in the context of colorectal anastomoses. AI-guided systems are nowadays already used for detecting polyps during screening colonoscopies.</p> Conclusion <p>The CLASSICA project will compare AI-guided targeted biopsy or, indeed, AI characterization alone with traditional biopsy and AI-guided local excision versus traditional excision with regard to marginal clearance and recurrence.</p>

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Validierung künstlicher Intelligenz für die Klassifizierung von Mastdarmkrebs während endoskopischer Chirurgie

  • 期刊论文

  • 发表日期：

    2025年7月15日

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  • Felix Aigner,
  • David Duller,
  • Christoph Skias,
  • Gabriele Moitzi,
  • Martin Mitteregger

摘要

Background

Treatment pathways for significant rectal polyps differ depending on the underlying pathology, but pre-excision profiling is imperfect.

Objectives

The CLASSICA study is a prospective, unblinded multicentre European observational study aimed to validate the use of artificial intelligence (AI) analysis of indocyanine green (ICG) fluorescence for intraoperative tissue characterization.

Materials and methods

In all, 600 patients undergoing transanal endoscopic evaluation of significant rectal polyps and tumours will be enrolled in at least five clinical sites across the European Union over a 4-year period.

Results

Implementation of fluorescence angiography in colorectal surgery has meanwhile led to improvement of defining resection margins in the context of colorectal anastomoses. AI-guided systems are nowadays already used for detecting polyps during screening colonoscopies.

Conclusion

The CLASSICA project will compare AI-guided targeted biopsy or, indeed, AI characterization alone with traditional biopsy and AI-guided local excision versus traditional excision with regard to marginal clearance and recurrence.