Direct Correlation of Multiple Diffusion-Weighted Imaging Models of Soft Tissue Sarcoma and Quantitative...

Area of Science:

• Radiology and Oncology
• Biomarker Discovery
• Medical Imaging Analysis

Background:

• Soft tissue sarcoma (STS) characterization relies on histopathology, which is invasive.
• Diffusion-weighted imaging (DWI) offers a noninvasive approach to assess tissue microstructure.
• Understanding the correlation between DWI parameters and histopathology is crucial for clinical application.

Purpose of the Study:

• To explore the correlation between multiple DWI model parameters and quantitative histopathological features in STS.
• To investigate the potential of DWI parameters as noninvasive biomarkers for STS characterization.
• To utilize a three-step controlled imaging-pathology co-registration protocol for accurate analysis.

Main Methods:

• Prospective study of 69 STS patients undergoing 3.0 T MR scanning.
• Acquisition of multiple DWI model parameters.
• Application of a three-step co-registration protocol for MRI-pathology alignment.
• Statistical analysis including Spearman, Kruskal-Wallis, Mann-Whitney U, and ROC curve analysis.

Main Results:

• Multiple DWI parameters showed significant correlations with nuclear, cellular, and stromal fractions.
• Specific parameters (f, MD_DKI, MK, MD_DTI) were independently associated with stromal fractions (AUC = 0.890).
• MD_DTI and DDC predicted STS differentiation subtypes with AUCs of 0.798 and 0.713, respectively.

Conclusions:

• Directly linking DWI parameters to quantitative histopathology provides biological interpretability.
• Multiple DWI model parameters show potential as noninvasive biomarkers for STS.
• Rigorous spatial co-registration enhances the reliability of DWI-pathology correlations.