To explore current and emerging strategies for assessing postoperative recurrence (POR) in Crohn's disease, highlighting the potential of AI and multi-omics in improving monitoring and management.
Key Findings:
Endoscopic recurrence occurs in up to 70% of patients within the first year after surgery, indicating a need for improved monitoring.
Current monitoring methods, such as ileocolonoscopy and faecal calprotectin, have significant limitations in distinguishing between inflammatory and surgery-related changes.
AI can facilitate the integration of advanced imaging and multi-omics data for proactive monitoring, potentially reducing recurrence rates.
Interpretation:
AI-enabled integration of advanced monitoring techniques could shift POR management from reactive to proactive, thereby improving patient outcomes through timely interventions.
Limitations:
Current biomarkers, such as faecal calprotectin, and imaging techniques lack reliability and validation.
Clinical symptoms often do not correlate with endoscopic findings, complicating early detection and management.
Conclusion:
Adopting innovative technologies like AI and multi-omics may significantly enhance the precision and effectiveness of postoperative recurrence management in Crohn's disease, ultimately improving patient outcomes.
by Marietta Iacucci, Irene Zammarchi, Cecilia Lina Pugliano, Giovanni Santacroce, Ivan Capobianco, Snehali Majumder, Andrea Ruffa, Valery Naranjo, Enrico Grisan, Olga Maria Nardone, Subrata Ghosh
