Skip to main content

Bone Scan Index as a Biomarker of Bone Metastasis

  • Chapter
  • First Online:
Hormone Therapy and Castration Resistance of Prostate Cancer
  • 616 Accesses

Abstract

Bone metastasis in patients with prostate cancer can be screened and followed up using bone scintigraphy, and the role of quantitative bone imaging has recently become important. The bone scan index (BSI) is defined as the amount (%) of bone metastasis to the whole-body bones determined using an artificial neural network (ANN). It is currently recognized as a reproducible and practical means of quantifying bone metastasis and as an imaging biomarker of bone metastasis. This chapter summarizes the principles and application of BSI determined using dedicated software (EXINI bone in Europe and North America; BONENAVI in Japan), and its advantages and disadvantages. The BSI could serve as a reliable marker of disease progression and treatment effects as well as a prognostic indicator. The index can also reflect the effects of new drugs and internal radiation therapy on bone metastasis and help in its management.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

ANN:

Artificial neural network

BSI:

Bone scan index

mCRPC:

Metastatic castration-resistant prostate cancer

MDP:

Methylenediphosphonate

OS:

Overall survival

PSA:

Prostate-specific antigen

ROC:

Receiver operating characteristics

References

  1. Nakajima K, Edenbrandt L, Mizokami A. Bone scan index: a new biomarker for bone metastasis in patients with prostate cancer. Int J Urol. 2017;24(9):668–73. https://doi.org/10.1111/iju.13386.

    Article  PubMed  Google Scholar 

  2. Scher HI, Morris MJ, Larson S, Heller G. Validation and clinical utility of prostate cancer biomarkers. Nat Rev Clin Oncol. 2013;10:225–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Erdi YE, Humm JL, Imbriaco M, Yeung H, Larson SM. Quantitative bone metastases analysis based on image segmentation. J Nucl Med. 1997;38:1401–6.

    CAS  PubMed  Google Scholar 

  4. Imbriaco M, Larson SM, Yeung HW, et al. A new parameter for measuring metastatic bone involvement by prostate cancer: the Bone Scan Index. Clin Cancer Res. 1998;4:1765–72.

    CAS  PubMed  Google Scholar 

  5. Van den Wyngaert T, Strobel K, Kampen WU, et al. The EANM practice guidelines for bone scintigraphy. Eur J Nucl Med Mol Imaging. 2016;43:1723–38.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Scher HI, Halabi S, Tannock I, et al. Design and end points of clinical trials for patients with progressive prostate cancer and castrate levels of testosterone: recommendations of the Prostate Cancer Clinical Trials Working Group. J Clin Oncol. 2008;26:1148–59.

    Article  PubMed  Google Scholar 

  7. Jorgensen T, Muller C, Kaalhus O, Danielsen HE, Tveter KJ. Extent of disease based on initial bone scan: important prognostic predictor for patients with metastatic prostatic cancer. Experience from the Scandinavian Prostatic Cancer Group Study No. 2 (SPCG-2). Eur Urol. 1995;28:40–6.

    Article  CAS  PubMed  Google Scholar 

  8. Noguchi M, Kikuchi H, Ishibashi M, Noda S. Percentage of the positive area of bone metastasis is an independent predictor of disease death in advanced prostate cancer. Br J Cancer. 2003;88:195–201.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Soloway MS, Hardeman SW, Hickey D, et al. Stratification of patients with metastatic prostate cancer based on extent of disease on initial bone scan. Cancer. 1988;61:195–202.

    Article  CAS  PubMed  Google Scholar 

  10. Sadik M, Jakobsson D, Olofsson F, Ohlsson M, Suurkula M, Edenbrandt L. A new computer-based decision-support system for the interpretation of bone scans. Nucl Med Commun. 2006;27:417–23.

    Article  PubMed  Google Scholar 

  11. Takahashi Y, Yoshimura M, Suzuki K, et al. Assessment of bone scans in advanced prostate carcinoma using fully automated and semi-automated bone scan index methods. Ann Nucl Med. 2012;26:586–93.

    Article  PubMed  Google Scholar 

  12. Nakajima K, Nakajima Y, Horikoshi H, et al. Enhanced diagnostic accuracy for quantitative bone scan using an artificial neural network system: a Japanese multi-center database project. EJNMMI Res. 2013;3:83.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Ulmert D, Kaboteh R, Fox JJ, et al. A novel automated platform for quantifying the extent of skeletal tumour involvement in prostate cancer patients using the Bone Scan Index. Eur Urol. 2012;62:78–84.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Sadik M, Hamadeh I, Nordblom P, et al. Computer-assisted interpretation of planar whole-body bone scans. J Nucl Med. 2008;49:1958–65.

    Article  PubMed  Google Scholar 

  15. Horikoshi H, Kikuchi A, Onoguchi M, Sjostrand K, Edenbrandt L. Computer-aided diagnosis system for bone scintigrams from Japanese patients: importance of training database. Ann Nucl Med. 2012;26:622–6.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Koizumi M, Miyaji N, Murata T, et al. Evaluation of a revised version of computer-assisted diagnosis system, BONENAVI version 2.1.7, for bone scintigraphy in cancer patients. Ann Nucl Med. 2015;29(8):659–65.

    Article  PubMed  Google Scholar 

  17. Wakabayashi H, Nakajima K, Mizokami A, et al. Bone scintigraphy as a new imaging biomarker: the relationship between bone scan index and bone metabolic markers in prostate cancer patients with bone metastases. Ann Nucl Med. 2013;27:802–7.

    Article  CAS  PubMed  Google Scholar 

  18. Watanabe S, Nakajima K, Mizokami A, et al. Bone scan index of the jaw: a new approach for evaluating early-stage anti-resorptive agents-related osteonecrosis. Ann Nucl Med. 2017;31:201–10.

    Article  CAS  PubMed  Google Scholar 

  19. Anand A, Morris MJ, Kaboteh R, et al. A preanalytic validation study of automated Bone Scan Index: effect on accuracy and reproducibility due to the procedural Variabilities in bone scan image acquisition. J Nucl Med. 2016;57:1865–71.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Anand A, Morris MJ, Kaboteh R, et al. Analytic validation of the automated Bone Scan Index as an imaging biomarker to standardize quantitative changes in bone scans of patients with metastatic prostate cancer. J Nucl Med. 2016;57:41–5.

    Article  CAS  PubMed  Google Scholar 

  21. Sabbatini P, Larson SM, Kremer A, et al. Prognostic significance of extent of disease in bone in patients with androgen-independent prostate cancer. J Clin Oncol. 1999;17:948–57.

    Article  CAS  PubMed  Google Scholar 

  22. Dennis ER, Jia X, Mezheritskiy IS, et al. Bone scan index: a quantitative treatment response biomarker for castration-resistant metastatic prostate cancer. J Clin Oncol. 2012;30:519–24.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Kaboteh R, Damber JE, Gjertsson P, et al. Bone Scan Index: a prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapy. EJNMMI Res. 2013;3:9.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Mitsui Y, Shiina H, Yamamoto Y, et al. Prediction of survival benefit using an automated bone scan index in patients with castration-resistant prostate cancer. BJU Int. 2012;110:E628–34.

    Article  PubMed  Google Scholar 

  25. Anand A, Morris MJ, Larson SM, et al. Automated Bone Scan Index as a quantitative imaging biomarker in metastatic castration-resistant prostate cancer patients being treated with enzalutamide. EJNMMI Res. 2016;6:23.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Reza M, Ohlsson M, Kaboteh R, et al. 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. Eur Urol Focus. 2016;2:540–6.

    Article  PubMed  Google Scholar 

  27. Alva A, Nordquist L, Daignault S, et al. Clinical correlates of benefit from Radium-223 therapy in metastatic castration resistant prostate cancer. Prostate. 2017;77:479–88.

    Article  CAS  PubMed  Google Scholar 

  28. Armstrong AJ, Kaboteh R, Carducci MA, et al. Assessment of the bone scan index in a randomized placebo-controlled trial of tasquinimod in men with metastatic castration-resistant prostate cancer (mCRPC). Urol Oncol. 2014;32:1308–16.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Meirelles GS, Schoder H, Ravizzini GC, et al. Prognostic value of baseline [18F] fluorodeoxyglucose positron emission tomography and 99mTc-MDP bone scan in progressing metastatic prostate cancer. Clin Cancer Res. 2010;16:6093–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Kaboteh R, Gjertsson P, Leek H, et al. Progression of bone metastases in patients with prostate cancer—automated detection of new lesions and calculation of bone scan index. EJNMMI Res. 2013;3:64.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Reza M, Bjartell A, Ohlsson M, et al. Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy. EJNMMI Res. 2014;4:58.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Uemura K, Miyoshi Y, Kawahara T, et al. Prognostic value of a computer-aided diagnosis system involving bone scans among men treated with docetaxel for metastatic castration-resistant prostate cancer. BMC Cancer. 2016;16:109.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Miyoshi Y, Yoneyama S, Kawahara T, et al. Prognostic value of the bone scan index using a computer-aided diagnosis system for bone scans in hormone-naive prostate cancer patients with bone metastases. BMC Cancer. 2016;16:128.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Poulsen MH, Rasmussen J, Edenbrandt L, et al. Bone Scan Index predicts outcome in patients with metastatic hormone-sensitive prostate cancer. BJU Int. 2016;117:748–53.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kenichi Nakajima .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Nakajima, K., Edenbrandt, L. (2018). Bone Scan Index as a Biomarker of Bone Metastasis. In: Arai, Y., Ogawa, O. (eds) Hormone Therapy and Castration Resistance of Prostate Cancer. Springer, Singapore. https://doi.org/10.1007/978-981-10-7013-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7013-6_18

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7012-9

  • Online ISBN: 978-981-10-7013-6

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics