Role of textural heterogeneity parameters in patient selection for 177Lu-PSMA therapy via response prediction
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Zain Khurshid1, Hojjat Ahmadzadehfar1, Florian C. Gaertner1, László Papp2, Norbert Zsóter3, Markus Essler1 and Ralph A. Bundschuh1
1Department of Nuclear Medicine, University Hospital Bonn, Bonn, Germany
2Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
3Mediso Medical Imaging Systems, Budapest, Hungary
Zain Khurshid, email: email@example.com
Keywords: 177Lu-PSMA therapy; 68Ga-PSMA; prostate cancer; tumor textural heterogeneity; response prediction
Received: April 01, 2018 Accepted: August 06, 2018 Published: September 07, 2018
Purpose: Prostate cancer is most common tumor in men causing significant patient mortality and morbidity. In newer diagnostic/therapeutic agents PSMA linked ones are specifically important. Analysis of textural heterogeneity parameters is associated with determination of innately aggressive and therapy resistant cell lines thus emphasizing their importance in therapy planning. The objective of current study was to assess predictive ability of tumor textural heterogeneity parameters from baseline 68Ga-PSMA PET prior to 177Lu-PSMA therapy.
Results: Entropy showed a negative correlation (rs = –0.327, p = 0.006, AUC = 0.695) and homogeneity showed a positive correlation (rs = 0.315, p = 0.008, AUC = 0.683) with change in pre and post therapy PSA levels.
Conclusions: Study showed potential for response prediction through baseline PET scan using textural features. It suggested that increase in heterogeneity of PSMA expression seems to be associated with an increased response to PSMA radionuclide therapy.
Materials and Methods: Retrospective analysis of 70 patients was performed. All patients had metastatic prostate cancer and were planned to undergo 177Lu-PSMA therapy. Pre-therapeutic 68Ga- PSMA PET scans were used for analysis. 3D volumes (VOIs) of 3 lesions each in bones and lymph nodes were manually delineated in static PET images. Five PET based textural heterogeneity parameters (COV, entropy, homogeneity, contrast, size variation) were determined. Results obtained were then compared with clinical parameters including pre and post therapy PSA, alkaline phosphate, bone specific alkaline phosphate levels and ECOG criteria. Spearman correlation was used to determine statistical dependence among variables. ROC analysis was performed to estimate the optimal cutoff value and AUC.
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