Added Value of Whole-Body Diffusion-Weighted Imaging in Patients Undergoing Prostate-Specific Membrane Antigen Positron Emission Tomography

  • 0Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.

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Summary

This summary is machine-generated.

Whole-body diffusion-weighted imaging (DWI) combined with Prostate-Specific Membrane Antigen (PSMA) PET scans helps identify PSMA-negative metastatic castration-resistant prostate cancer (mCRPC). This imaging approach aids in better risk stratification for patients undergoing radioligand therapy.

Area Of Science

  • Oncology
  • Radiology
  • Medical Imaging

Background

  • Metastatic castration-resistant prostate cancer (mCRPC) patients with PSMA-negative disease have poorer outcomes with radioligand therapy (RLT).
  • Accurate identification of PSMA-negative disease is crucial for effective patient management and risk stratification.

Purpose Of The Study

  • To evaluate the added value of whole-body (WB) diffusion-weighted imaging (DWI) to PSMA PET in detecting PSMA-negative lesions.
  • To assess the impact of identifying PSMA-negative disease on patient outcomes.

Main Methods

  • Retrospective review of consecutive PSMA PET/MRI exams including WB DWI in mCRPC patients.
  • Two independent readers assessed 14 anatomic locations for lesion detection on both WB DWI and PSMA PET.
  • Inter-reader agreement was calculated using intra-class correlation coefficients (ICCs).

Main Results

  • WB DWI identified PSMA-negative lesions in 24% of the 41 included patients.
  • Both modalities showed good inter-reader agreement, with PSMA PET (ICC: 0.87) showing higher agreement than DWI (ICC: 0.72).
  • Patients with mismatched disease (PSMA-negative lesions) had a median overall survival of 442 days versus 523 days for those without, a difference that was not statistically significant.

Conclusions

  • The integration of WB DWI with PSMA PET can identify PSMA-negative disease in mCRPC patients.
  • This combined imaging approach has the potential to influence treatment decisions and improve patient management strategies.