To examine current and emerging technologies for assessing postoperative recurrence in Crohn's disease, highlighting the challenges in monitoring.
Key Findings:
Composite strategies combining biomarkers with imaging are more robust than single-measure approaches.
Advanced imaging techniques can detect subtle changes preceding macroscopic recurrence.
Intestinal ultrasound shows strong correlation with endoscopic recurrence, especially when combined with fecal calprotectin.
AI-enabled integration of data could standardize assessments and improve precision in monitoring.
Interpretation:
Combining advanced imaging with AI and multi-omics data may enhance postoperative surveillance, allowing for proactive monitoring and earlier interventions.
Limitations:
Current monitoring tools have variability in reliability and require further validation, particularly in distinguishing postsurgical changes from early inflammatory recurrence.
Standardization of imaging techniques is necessary for consistent application.
Conclusion:
The integration of advanced technologies could improve long-term outcomes in Crohn's disease by personalizing monitoring strategies, but requires prospective validation.
