Semi-standardized evaluation of extraprostatic extension and seminal vesicle invasion with [18F]PSMA-1007 PET/CT: a comparison to MRI using histopathology as reference
2024

Evaluating Prostate Cancer Staging with PSMA PET/CT and MRI

Sample size: 124 publication Evidence: moderate

Author Information

Author(s): Hvittfeldt Erland, Hedeer Fredrik, Thimansson Erik, Sandeman Kevin, Minarik David, Ingvar Jacob, Bjartell Anders, Trägårdh Elin

Primary Institution: Lund University

Hypothesis

To compare the diagnostic performance of [18F]PSMA-1007 PET/CT to MRI in evaluating extraprostatic extension and seminal vesicle invasion in prostate cancer.

Conclusion

MRI had a higher sensitivity for detecting extraprostatic extension, while PSMA PET/CT had a higher specificity, and both methods showed high specificity for seminal vesicle invasion.

Supporting Evidence

  • PSMA PET/CT identified 186 tumor lesions, while MRI identified 123.
  • The sensitivity for detecting extraprostatic extension with PSMA PET/CT was 0.46.
  • MRI had a sensitivity of 0.80 for detecting extraprostatic extension.
  • Both imaging methods showed high specificity for seminal vesicle invasion.

Takeaway

This study looked at two imaging methods to see which one is better at finding certain types of prostate cancer spread. One method was better at finding it, while the other was better at confirming it wasn't there.

Methodology

The study included 124 patients who underwent both PSMA PET/CT and MRI before prostatectomy, with evaluations based on histopathology as the reference standard.

Potential Biases

Potential selection bias due to the retrospective design and the inclusion criteria favoring patients with higher suspicion of T-stage 3 or higher.

Limitations

The retrospective nature of the study may introduce selection bias, and the variety of MRI protocols used could complicate interpretation.

Participant Demographics

Patients were newly diagnosed, biopsy-verified prostate cancer patients undergoing radical prostatectomy, with a mean age of 64 years.

Statistical Information

Confidence Interval

95% CI 0.61–0.79

Digital Object Identifier (DOI)

10.1186/s41824-024-00234-4

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