ESR Essentials: a step-by-step guide of segmentation for radiologists-practice recommendations by the European Society of Medical Imaging Informatics

Area of Science:

• Radiology
• Medical Imaging
• Artificial Intelligence

Background:

• Accurate segmentation of anatomical and pathological structures is vital for AI-driven radiological research and clinical applications.
• Advancements in medical imaging necessitate precise segmentation for quantitative data extraction and valuable insights.
• Segmentation and volumetric analysis support enhanced diagnosis, treatment planning, and patient monitoring.

Purpose of the Study:

• To provide practical guidelines for improving segmentation accuracy and consistency in radiological research and clinical practice.
• To offer advice on planning, organization, quality, precision, and communication for clinical teams.
• To discuss strategies and potential pitfalls for enhancing segmentation practices in radiology and radiation oncology.

Main Methods:

• Development of practical guidelines based on expert consensus and literature review.
• Inclusion of actionable tips and strategies for segmentation quality improvement.
• Focus on planning, organization, and interdisciplinary communication.

Main Results:

• Establishment of clear rules and best practices for segmentation and volumetric assessment.
• Improved decision-making capabilities in research and clinical settings.
• Streamlined management of volumetric assessments for better patient care.

Conclusions:

• High-quality segmentation is essential for the increasing integration of AI and volumetry in clinical radiology.
• There is a need for practical, radiologist-focused guidelines on segmentation and volumetric analysis.
• Implementing standardized segmentation practices leads to more accurate diagnoses and effective patient management.