Pitfalls in RECIST Data Extraction for Clinical Trials: Beyond the Basics

Area of Science:

• Oncology
• Radiology
• Medical Imaging

Background:

• Response Evaluation Criteria in Solid Tumors (RECIST) is a standard for assessing cancer treatment effectiveness.
• Radiologists increasingly use RECIST in clinical settings and core laboratories.
• Difficulties arise for inexperienced users navigating RECIST nuances.

Purpose of the Study:

• To identify and illustrate common, advanced challenges in RECIST assessments.
• To provide educational and operational strategies for improving RECIST application.
• To enhance the quality of RECIST evaluations by radiologists.

Main Methods:

• Quality improvement review of a cancer imaging core laboratory.
• Analysis of pitfalls encountered by radiologists with limited RECIST experience.
• Categorization of pitfalls into baseline selection, target/nontarget lesion reassessment, and new lesion identification.

Main Results:

• Identified four categories of "beyond the basics" RECIST assessment pitfalls.
• Common challenges include baseline lesion selection and reassessment of target and nontarget lesions.
• Difficulty in accurately identifying new lesions was also noted.

Conclusions:

• Addressing specific RECIST assessment pitfalls is crucial for accurate cancer response evaluation.
• Educational and operational strategies can mitigate these challenges.
• Improved attention to RECIST subtleties enhances overall assessment quality in oncology imaging.