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This research aims to quantify variability in response evaluation metrics for localized soft tissue sarcoma using different measurement techniques.

June 27, 2026ESMO rare cancers.Open Access

Intra- and interobserver variability in response evaluation metrics used for localized soft tissue sarcoma

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Randomized trial quantifies imaging variability in soft tissue sarcoma assessments, suggesting segmentation for reliability.

This research aims to quantify variability in response evaluation metrics for localized soft tissue sarcoma using different measurement techniques.
Nineteen pre- and postradiotherapy MRI pairs were evaluated by 10 radiologists.
Assessment methods included visual estimation, digital rulers, and segmentation approaches.
Intra- and interobserver errors were analyzed, focusing on classification agreement using RECIST 1.1 and MR-adapted Choi criteria.
Segmentation showed the lowest variability and highest agreement (Fleiss' k = 0.92-1.00).
Ruler-based measurements had lower agreement (Fleiss' k = 0.40-0.46).
Signal intensity measurements led to false calls in up to 16% of identical scan comparisons.

Loo et al. (2026) studied this question.

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