Classifying, recognizing, and troubleshooting errors in magnetic resonance imaging (MRI)-guided breast biopsies

Area of Science:

• Radiology
• Medical Imaging
• Interventional Radiology

Background:

• MRI-guided biopsies are complex procedures with potential for errors.
• Previous radiology error classification systems exist, notably Renfrew (1992) and its modification by Kim and Mansfield (2014).
• These systems, primarily for diagnostic radiology, offer a framework applicable to procedural errors.

Purpose of the Study:

• To review and discuss common errors encountered during MRI-guided biopsies.
• To apply the Kim-Mansfield modification of the Renfrew error classification system to procedural errors.
• To provide guidance for radiologists in managing MRI-guided biopsy errors efficiently.

Main Methods:

• Literature review and synthesis of existing error classification systems.
• Application of the Kim-Mansfield error classification framework to MRI-guided biopsy scenarios.
• Discussion of preprocedural and intraprocedural error categories relevant to MRI biopsies.

Main Results:

• Identification of common error types in MRI-guided biopsies.
• Categorization of these errors using the modified Renfrew classification system.
• Analysis of factors contributing to both preprocedural and intraprocedural errors.

Conclusions:

• Understanding error classification is crucial for improving MRI-guided biopsy safety.
• The Kim-Mansfield system provides a useful structure for analyzing and addressing procedural errors.
• Effective management strategies can be developed by recognizing and categorizing common MRI-guided biopsy errors.