A Pilot Study of PSMA PET/CT and MRI Fusion for Prostate Cancer: Software to Replace PET/MRI Hardware
<b>Introduction</b>: Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT), in combination with magnetic resonance imaging (MRI), may enhance the diagnosis and staging of prostate cancer. Image fusion of separately acquired PET/CT and MRI images serve to facilitate clinical integration and treatment planning. This study aimed to investigate different PSMA PET/CT and MRI image fusion workflows for prostate cancer visualisation. <b>Methods</b>: Eighteen patients with prostate cancer who underwent PSMA PET/CT and MRI prior to radical prostatectomy were retrospectively selected. Alignment of the prostate was performed between PET/CT and MRI via three techniques: semi-automatic rigid, automatic rigid, and automatic non-rigid. Image fusion accuracy was evaluated through boundary and volume agreement, quantified by the Dice Similarity Coefficient (DSC), 95% Hausdorff Distance (HD), and Mean Surface Distance (MSD), with comparison against reconstructed histopathology slices. <b>Results</b>: Image fusion using all techniques resulted in clear lesion visualisation from PSMA PET/CT overlay and anatomical detail afforded by the MRI base and was consistent with histopathology tumour location. Image fusion accuracy was within the recommended range based on a DSC of 0.8-0.9. The automatic non-rigid registration method had the highest volume agreement (DSC: 0.96 ± <0.01) and boundary agreement (HD: 1.17 ± 0.35 mm) when compared to automatic rigid (DSC 0.88 ± 0.02, HD 3.18 ± 0.29 mm) and semi-automatic rigid (DSC 0.80 ± 0.06, HD 5.25 ± 1.68 mm). <b>Conclusions</b>: Image fusion of clinically obtained PET/CT and MRI is feasible and clinically acceptable for use in prostate cancer diagnosis and surgical management. While the best accuracy was observed with the automatic non-rigid technique, which requires further validation, image fusion with clinically accessible methods (semi-automatic rigid) may currently aid patient education, pre-operative planning, and intra-operative guidance.
Authors
- Jason Dowling (ORCID: https://orcid.org/0000-0001-9349-2275)
- Rebecca Murray (ORCID: https://orcid.org/0000-0003-1981-1375)
- Georges Mehawed (ORCID: https://orcid.org/0000-0002-6857-5295)
- Rivindi Gunasena
- Kate Stewart (ORCID: https://orcid.org/0000-0001-8676-6565)
- Matthew J. Roberts (ORCID: https://orcid.org/0000-0003-0552-7402)
- Nicholas J. Rukin
- Frances Malczewski
- Jessica M. Bugeja (ORCID: https://orcid.org/0000-0003-3631-969X)
Institutions
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Queensland Health (AU)
- The University of Queensland (AU)
- Royal Brisbane and Women's Hospital (AU)
- Australian e-Health Research Centre (AU)
- Redcliffe Hospital (AU)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2024-12-04
- DOI
- https://doi.org/10.3390/jcm13237384
- Citations
- 3
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- Queensland Health
- University of Queensland
- Metro North Hospital and Health Service