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Updated: Jan 29, 2026

07:55
Establishment of a Primary Culture of Patient-derived Soft Tissue Sarcoma
Published on: April 11, 2018
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MRI-Based Delta Necrosis as a Prognostic Marker Following Neoadjuvant Chemotherapy in Soft Tissue Sarcoma.
Harold Bravo Thompson1, Priya Chattopadhyay1, Ty Subhawong2
1Department of Medicine, University of Miami/Jackson Health System, Miami, Fl 33136, USA.
Cancers
|January 28, 2026
Summary
Changes in soft tissue sarcoma necrosis on MRI after chemotherapy did not predict treatment response or patient survival. Radiologic necrosis assessment requires further refinement with advanced imaging and molecular tools.
Area of Science:
- Oncology
- Radiology
- Pathology
Background:
- The prognostic significance of treatment-induced necrosis in soft tissue sarcoma (STS) is not well-established.
- Assessing therapeutic response in STS often relies on imaging, but the reliability of necrosis changes is uncertain.
Purpose of the Study:
- To investigate the correlation between MRI-based changes in necrosis (Δ necrosis) and pathologic necrosis in STS patients post-neoadjuvant chemotherapy.
- To determine if MRI-derived necrosis predicts clinical outcomes, including progression-free and overall survival.
Main Methods:
- Retrospective analysis of 27 STS patients who received neoadjuvant chemotherapy and underwent pre- and post-treatment MRI.
- Categorical grading of necrosis on MRI and calculation of Δ necrosis; correlation with pathologic necrosis using Spearman's rank coefficient.
- Survival analyses (progression-free, local recurrence-free, disease-specific overall survival) using Kaplan-Meier and log-rank tests.
Main Results:
- Post-treatment MRI necrosis showed a moderate correlation with pathologic necrosis (ρ = 0.44, p = 0.028).
- Δ necrosis demonstrated a weaker, nonsignificant correlation with pathologic necrosis (ρ = 0.24, p = 0.24).
- Neither MRI-based nor pathologic necrosis thresholds were significantly associated with patient survival outcomes.
Conclusions:
- MRI-based Δ necrosis is not a reliable predictor of pathologic necrosis or oncologic outcomes in STS.
- Radiologic changes in necrosis may not accurately reflect therapeutic response in STS.
- Future research should integrate quantitative imaging, standardized pathology, and molecular tools like ctDNA for improved treatment assessment.
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