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MRI of soft tissue tumours: a structured "8S framework" aligned with WHO 2020 classification
Dharmendra Kumar Singh1, Neha Nischal2, Geetika Khanna3
1Department of Radiodiagnosis and Interventional Radiology, MSK and Sports Intervention, Sports Injury Centre, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
This review introduces the 8S framework, a novel magnetic resonance imaging (MRI) strategy to improve soft tissue tumour (STT) diagnosis. It enhances risk stratification by integrating imaging features with biological aggressiveness for better patient management.
Area of Science:
- Radiology
- Oncology
- Pathology
Background:
- Soft tissue tumours (STTs) present diagnostic challenges due to varied presentations and overlapping imaging features.
- Magnetic resonance imaging (MRI) provides detailed soft tissue characterization but requires enhanced interpretation for precise diagnosis and risk stratification.
Purpose of the Study:
- To present a novel 8S framework integrating MRI morphology, function, and biological aggressiveness for enhanced STT diagnostic precision and risk stratification.
- To align the 8S framework with the 2020 WHO soft tissue tumour classification for improved clinical decision-making.
Main Methods:
- The 8S framework systematically evaluates eight key MRI features: Site, Size, Shape/Surface, Signal, Surroundings, Sequence behaviour, Surgical assistance, and Satellites/Skips.
- Integration of dynamic contrast enhancement, diffusion characteristics, and invasion patterns to assess biological aggressiveness and metastatic potential.
Main Results:
- The 8S framework offers a clinically actionable MRI strategy for evaluating STTs.
- This integrated approach facilitates differentiation between benign, locally aggressive, and high-grade malignant tumours.
Conclusions:
- The 8S framework, aligned with the 2020 WHO classification, improves diagnostic accuracy and risk stratification for soft tissue tumours.
- This MRI strategy aids in guiding biopsy, surgical planning, and prognosis for patients with STTs.
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