TY - JOUR T1 - Assessing Radiographic Response to <sup>223</sup>Ra with an Automated Bone Scan Index in Metastatic Castration-Resistant Prostate Cancer Patients JF - Journal of Nuclear Medicine JO - J Nucl Med SP - 671 LP - 675 DO - 10.2967/jnumed.119.231100 VL - 61 IS - 5 AU - Aseem Anand AU - Elin Trägårdh AU - Lars Edenbrandt AU - Lars Beckman AU - Jan-Henry Svensson AU - Camilla Thellenberg AU - Anders Widmark AU - Jon Kindblom AU - Anders Ullén AU - Anders Bjartell Y1 - 2020/05/01 UR - http://jnm.snmjournals.org/content/61/5/671.abstract N2 - For effective clinical management of patients being treated with 223Ra, there is a need for radiographic response biomarkers to minimize disease progression and to stratify patients for subsequent treatment options. The objective of this study was to evaluate an automated bone scan index (aBSI) as a quantitative assessment of bone scans for radiographic response in patients with metastatic castration-resistant prostate cancer (mCRPC). Methods: In a multicenter retrospective study, bone scans from patients with mCRPC treated with monthly injections of 223Ra were collected from 7 hospitals in Sweden. Patients with available bone scans before treatment with 223Ra and at treatment discontinuation were eligible for the study. The aBSI was generated at baseline and at treatment discontinuation. The Spearman rank correlation was used to correlate aBSI with the baseline covariates: alkaline phosphatase (ALP) and prostate-specific antigen (PSA). The Cox proportional-hazards model and Kaplan–Meier curve were used to evaluate the association of covariates at baseline and their change at treatment discontinuation with overall survival (OS). The concordance index (C-index) was used to evaluate the discriminating strength of covariates in predicting OS. Results: Bone scan images at baseline were available from 156 patients, and 67 patients had both a baseline and a treatment discontinuation bone scan (median, 5 doses; interquartile range, 3–6 doses). Baseline aBSI (median, 4.5; interquartile range, 2.4–6.5) was moderately correlated with ALP (r = 0.60, P &lt; 0.0001) and with PSA (r = 0.38, P = 0.003). Among baseline covariates, aBSI (P = 0.01) and ALP (P = 0.001) were significantly associated with OS, whereas PSA values were not (P = 0.059). After treatment discontinuation, 36% (24/67), 80% (54/67), and 13% (9/67) of patients demonstrated a decline in aBSI, ALP, and PSA, respectively. As a continuous variable, the relative change in aBSI after treatment, compared with baseline, was significantly associated with OS (P &lt; 0.0001), with a C-index of 0.67. Median OS in patients with both aBSI and ALP decline (median, 134 wk) was significantly longer than in patients with ALP decline only (median, 77 wk; P = 0.029). Conclusion: Both aBSI at baseline and its change at treatment discontinuation were significant parameters associated with OS. The study warrants prospective validation of aBSI as a quantitative imaging response biomarker to predict OS in patients with mCRPC treated with 223Ra. ER -