Program Information

[¹⁸F]NaF PET/CT Imaging Biomarkers in Metastatic Prostate Cancer

S Harmon

S Harmon¹* , T Perk¹ , C Lin¹ , J Eickhoff¹ , P Choyke² , W Dahut² , A Apolo² , J Humm³ , S Larson³ , MJ Morris³ , S Perlman¹ , G Liu¹ , R Jeraj¹ , (1) University of Wisconsin Madison, Madison, WI,(2) National Cancer Institute at the National Institutes of Health, Bethesda, Maryland, (3) Memorial Sloan-Kettering Cancer Center, New York, NY

Presentations

MO-AB-BRA-5 (Monday, August 1, 2016) 7:30 AM - 9:30 AM Room: Ballroom A

Purpose: Clinical use of ¹⁸F-Sodium Fluoride (NaF) PET/CT in metastatic settings often lacks technology to quantitatively measure full disease dynamics due to high tumor burden. This study assesses radiomics-based extraction of NaF PET/CT measures, including global metrics of overall burden and local metrics of disease heterogeneity, in metastatic prostate cancer for correlation to clinical outcomes.

Methods: Fifty-six metastatic Castrate-Resistant Prostate Cancer (mCRPC) patients had NaF PET/CT scans performed at baseline and three cycles into chemotherapy (N=16) or androgen-receptor (AR) inhibitors (N=39). A novel technology, Quantitative Total Bone Imaging (QTBI), was used for analysis. Employing hybrid PET/CT segmentation and articulated skeletal-registration, QTBI allows for response assessment of individual lesions. Various SUV metrics were extracted from each lesion (iSUV). Global metrics were extracted from composite lesion-level statistics for each patient (pSUV). Proportion of detected lesions and those with significant response (%-increase or %-decrease) was calculated for each patient based on test-retest limits for iSUV metrics. Cox proportional hazard regression analyses were conducted between imaging metrics and progression-free survival (PFS).

Results: Functional burden (pSUV_total) assessed mid-treatment was the strongest univariate predictor of PFS (HR=2.03; p<0.0001). Various global metrics outperformed baseline clinical markers, including fraction of skeletal burden, mean uptake (pSUV_mean), and heterogeneity of average lesion uptake (pSUV_hetero). Of 43 patients with paired baseline/mid-treatment imaging, 40 showed heterogeneity in lesion-level response, containing populations of lesions with both increasing/decreasing metrics. Proportion of lesions with significantly increasing iSUV_mean was highly predictive of clinical PFS (HR=2.0; p=0.0002). Patients exhibiting higher proportion of lesions with decreasing iSUV_total saw prolonged radiographic PFS (HR=0.51; p=0.02).

Conclusion: Technology presented here provides comprehensive disease quantification on NaF PET/CT imaging, showing strong correlation to clinical outcomes. Total functional burden as well as proportions of similarly responding lesions was predictive of PFS. This supports ongoing development of NaF PET/CT based imaging biomarkers in mCRPC.

Funding Support, Disclosures, and Conflict of Interest: Prostate Cancer Foundation


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