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Assessing Radiographic Response to Ra-223 with Automated Bone Scan Index (aBSI) in Metastatic Castration Resistant Prostate Cancer (mCRPC) Patients.

Artikel i vetenskaplig tidskrift
Författare Aseem Anand
Elin Tragardh
Lars Edenbrandt
Lars Beckman
Jan-Henry Svensson
Camilla Thellenberg
Anders Widmark
Jon Kindblom
Anders Ullén
Anders Bjartell
Publicerad i Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Volym 61
Nummer/häfte 5
Sidor 671-675
ISSN 1535-5667
Publiceringsår 2020
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för onkologi
Institutionen för medicin, avdelningen för molekylär och klinisk medicin
Sidor 671-675
Språk en
Länkar dx.doi.org/10.2967/jnumed.119.23110...
www.ncbi.nlm.nih.gov/entrez/query.f...
Ämneskategorier Diagnostisk radiologi

Sammanfattning

Rationale: For effective clinical management of patients being treated with Ra-223, 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 automated Bone Scan Index (aBSI) as a quantitative assessment of bone scan for radiographic response in patients with metastatic castration resistant prostate cancer (mCRPC). Methods: In a multi-center retrospective study, bone scans from patients with mCRPC treated with monthly injections of Ra-223, were collected from seven hospitals in Sweden. Patients with available bone scans prior to treatment with Ra-223 and at treatment discontinuation were eligible for the study. Using EXINI automated platform, the aBSI was generated at baseline and at treatment discontinuation. The Spearman's rank correlation was used to correlate aBSI with the baseline covariates - alkaline phosphatase (ALP) and Prostate Specific Antigen (PSA). Cox proportional hazard model and Kaplan-Meier curve was used to evaluate the association of covariates at baseline and their change at treatment discontinuation with overall survival (OS). 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 baseline and treatment discontinuation bone scan (median dose= 5; IQR: 3 - 6). Baseline aBSI (median = 4.5; IQR: 2.4-6.5) was moderately correlated with ALP (r=0.60, p<0.0001) and with PSA (r=0.38, P = 0.003). Among baseline covariates, aBSI (P = 0.01) and ALP (P = 0.001) were both 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) patients demonstrated decline in aBSI, ALP and in PSA, respectively. As a continuous variable, the relative change in aBSI after treatment compared to baseline, was significantly associated with OS (p<0.0001), with a C-index of 0.67. Median OS of patients with both BSI and ALP decline (median = 134 weeks) was found to be significantly longer than in patients with ALP decline only (median = 77 weeks, P = 0.029). Conclusion: aBSI at baseline and its change at treatment discontinuation were both 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 Ra-223.

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