Proposing Incidental-Reporting and Data System: A classification system for incidental findings in radiology

Area of Science:

• Radiology
• Medical Informatics
• Health Systems Science

Background:

• Incidental findings on medical imaging are frequent.
• Current reporting and follow-up protocols for incidental findings lack standardization.
• This inconsistency can lead to suboptimal patient care and missed research opportunities.

Purpose of the Study:

• To introduce the Incidental-Reporting and Data System (I-RADS).
• To establish a standardized classification system for incidental findings across imaging modalities and anatomical locations.
• To enhance physician communication, standardize management recommendations, and facilitate research.

Main Methods:

• Development of the I-RADS classification system.
• Proposal for integration with existing radiological tools and guidelines.
• Focus on applicability across diverse imaging modalities and anatomical regions.

Main Results:

• I-RADS provides a structured approach to classifying incidental findings.
• The system is designed for broad applicability in clinical practice.
• Anticipated benefits include improved diagnostic accuracy and streamlined patient management.

Conclusions:

• The Incidental-Reporting and Data System (I-RADS) offers a novel solution for managing incidental findings.
• Adoption of I-RADS can harmonize patient care pathways.
• Standardization through I-RADS is expected to improve patient outcomes and enable robust multicenter research.