Literature DB >> 28723520

Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer: A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice.

Mariana Reza1, Mattias Ohlsson2, Reza Kaboteh3, Aseem Anand4, Ingela Franck-Lissbrant5, Jan-Erik Damber6, Anders Widmark7, Camilla Thellenberg-Karlsson8, Lars Budäus9, Thomas Steuber10, Till Eichenauer10, Per Wollmer11, Lars Edenbrandt12, Elin Trägårdh11, Anders Bjartell13.   

Abstract

BACKGROUND: Abiraterone acetate (AA) prolongs survival in metastatic castration-resistant prostate cancer (mCRPC) patients. To measure treatment response accurately in bone, quantitative methods are needed. The Bone Scan Index (BSI), a prognostic imaging biomarker, reflects the tumour burden in bone as a percentage of the total skeletal mass calculated from bone scintigraphy.
OBJECTIVE: To evaluate the value of BSI as a biomarker for outcome evaluation in mCRPC patients on treatment with AA according to clinical routine. DESIGN, SETTING, AND PARTICIPANTS: We retrospectively studied 104 mCRPC patients who received AA following disease progression after chemotherapy. All patients underwent whole-body bone scintigraphy before and during AA treatment. Baseline and follow-up BSI data were obtained using EXINI BoneBSI software (EXINI Diagnostics AB, Lund, Sweden). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Associations between change in BSI, clinical parameters at follow-up, and overall survival (OS) were evaluated using the Cox proportional hazards regression models and Kaplan-Meier estimates. Discrimination between variables was assessed using the concordance index (C-index). RESULTS AND LIMITATIONS: Patients with an increase in BSI at follow-up of at most 0.30 (n=54) had a significantly longer median survival time than those with an increase of BSI >0.30 (n=50) (median: 16 vs 10 mo; p=0.001). BSI change was also associated with OS in a multivariate Cox analysis including commonly used clinical parameters for prognosis (C-index=0.7; hazard ratio: 1.1; p=0.03). The retrospective design was a limitation.
CONCLUSIONS: Change in BSI was significantly associated with OS in mCRPC patients undergoing AA treatment following disease progression in a postchemotherapy setting. BSI may be a useful imaging biomarker for outcome evaluation in this group of patients, and it could be a valuable complementary tool in monitoring patients with mCRPC on second-line therapies. PATIENT
SUMMARY: Bone Scan Index (BSI) change is related to survival time in metastatic castration-resistant prostate cancer (mCRPC) patients on abiraterone acetate. BSI may be a valuable complementary decision-making tool supporting physicians monitoring patients with mCRPC on second-line therapies.
Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Abiraterone acetate; Bone Scan Index; Bone metastasis; Castration-resistant prostate cancer

Year:  2016        PMID: 28723520     DOI: 10.1016/j.euf.2016.02.013

Source DB:  PubMed          Journal:  Eur Urol Focus        ISSN: 2405-4569


  9 in total

1.  Phase 3 Assessment of the Automated Bone Scan Index as a Prognostic Imaging Biomarker of Overall Survival in Men With Metastatic Castration-Resistant Prostate Cancer: A Secondary Analysis of a Randomized Clinical Trial.

Authors:  Andrew J Armstrong; Aseem Anand; Lars Edenbrandt; Eva Bondesson; Anders Bjartell; Anders Widmark; Cora N Sternberg; Roberto Pili; Helen Tuvesson; Örjan Nordle; Michael A Carducci; Michael J Morris
Journal:  JAMA Oncol       Date:  2018-07-01       Impact factor: 31.777

Review 2.  Measuring the unmeasurable: automated bone scan index as a quantitative endpoint in prostate cancer clinical trials.

Authors:  Jose Mauricio Mota; Andrew J Armstrong; Steven M Larson; Josef J Fox; Michael J Morris
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-04-29       Impact factor: 5.554

3.  Revealing Prognostic Value of Skeletal-Related Parameters in Metastatic Castration-Resistant Prostate Cancer on Overall Survival: A Systematic Review and Meta-Analysis of Randomized Controlled Trial.

Authors:  Tongyu Tong; Hanqi Lei; Yupeng Guan; Xiangwei Yang; Guolong Liao; Yamei Li; Donggen Jiang; Jun Pang
Journal:  Front Oncol       Date:  2020-11-19       Impact factor: 6.244

4.  Prognostic value of automated bone scan index for predicting overall survival among bone metastatic castration resistant prostate cancer patients treated with radium-223.

Authors:  Yasuhide Miyoshi; Sohgo Tsutsumi; Takashi Kawahara; Masato Yasui; Koichi Uemura; Shuko Yoneyama; Yumiko Yokomizo; Narihiko Hayashi; Masahiro Yao; Hiroji Uemura
Journal:  BJUI Compass       Date:  2020-09-05

5.  Quantitative bone scan lesion area as an early surrogate outcome measure indicative of overall survival in metastatic prostate cancer.

Authors:  Matthew S Brown; Grace Hyun J Kim; Gregory H Chu; Bharath Ramakrishna; Martin Allen-Auerbach; Cheryce P Fischer; Benjamin Levine; Pawan K Gupta; Christiaan W Schiepers; Jonathan G Goldin
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-11

6.  A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer.

Authors:  Mariana Reza; Reza Kaboteh; May Sadik; Anders Bjartell; Per Wollmer; Elin Trägårdh
Journal:  BMC Med Imaging       Date:  2018-05-04       Impact factor: 1.930

7.  Prognostic value of an automated bone scan index for men with metastatic castration-resistant prostate cancer treated with cabazitaxel.

Authors:  Koichi Uemura; Yasuhide Miyoshi; Takashi Kawahara; Jikuya Ryosuke; Daisuke Yamashita; Shuko Yoneyama; Yumiko Yokomizo; Kazuki Kobayashi; Takeshi Kishida; Masahiro Yao; Hiroji Uemura
Journal:  BMC Cancer       Date:  2018-05-02       Impact factor: 4.430

8.  Prognostic value of bone scan index as an imaging biomarker in metastatic prostate cancer: a meta-analysis.

Authors:  Dongyang Li; Hang Lv; Xuanyu Hao; Yudi Dong; Huixu Dai; Yongsheng Song
Journal:  Oncotarget       Date:  2017-07-29

Review 9.  Data-driven translational prostate cancer research: from biomarker discovery to clinical decision.

Authors:  Yuxin Lin; Xiaojun Zhao; Zhijun Miao; Zhixin Ling; Xuedong Wei; Jinxian Pu; Jianquan Hou; Bairong Shen
Journal:  J Transl Med       Date:  2020-03-07       Impact factor: 5.531

  9 in total

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