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EJNMMI Research

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Open Access 01-12-2013 | Original research

Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index

Authors: Reza Kaboteh, Peter Gjertsson, Håkan Leek, Milan Lomsky, Mattias Ohlsson, Karl Sjöstrand, Lars Edenbrandt

Published in: EJNMMI Research | Issue 1/2013

Abstract

Background

The objective of this study was firstly to develop and evaluate an automated method for the detection of new lesions and changes in bone scan index (BSI) in serial bone scans and secondly to evaluate the prognostic value of the method in a group of patients receiving chemotherapy.

Methods

The automated method for detection of new lesions was evaluated in a group of 266 patients using the classifications by three experienced bone scan readers as a gold standard. The prognostic value of the method was assessed in a group of 31 metastatic hormone-refractory prostate cancer patients who were receiving docetaxel. Cox proportional hazards were used to investigate the association between percentage change in BSI, number of new lesions and overall survival. Kaplan-Meier estimates of the survival function were used to indicate a significant difference between patients with an increase/decrease in BSI or those with two or more new lesions or less than two new lesions.

Results

The automated method detected progression defined as two or more new lesions with a sensitivity of 93% and a specificity of 87%. In the treatment group, both BSI changes and the number of new metastases were significantly associated with survival. Two-year survival for patients with increasing and decreasing BSI from baseline to follow-up scans were 18% and 57% (p = 0.03), respectively. Two-year survival for patients fulfilling and not fulfilling the criterion of two or more new lesions was 35% and 38% (n.s.), respectively.

Conclusions

An automated method can be used to calculate the number of new lesions and changes in BSI in serial bone scans. These imaging biomarkers contained prognostic information in a small group of patients with prostate cancer receiving chemotherapy.

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Saad F, Gleason DM, Murray R, Tchekmedyian S, Venner P, Lacombe L, Chin JL, Vinholes JJ, Goas JA, Chen B: A randomized, placebo-controlled trial of zoledronic acid in patients with hormone-refractory metastatic prostate carcinoma. J Natl Cancer Inst 2002, 94: 1458–1468. 10.1093/jnci/94.19.1458CrossRefPubMed

Tannock IF, de-Wit R, Berry WR, Horti J, Pluzanska A, Chi KN, Oudard S, Théodore C, James ND, Turesson I: Docetaxel plus prednisone or mitoxantrone plus prednisone for advanced prostate cancer. N Engl J Med 2004, 351: 1502–1512. 10.1056/NEJMoa040720CrossRefPubMed

Kantoff PW, Higano CS, Shore ND, Berger ER, Small EJ, Penson DF, Redfern CH, Ferrari AC, Dreicer R, Sims RB: Sipuleucel-T immunotherapy for castration-resistant prostate cancer. N Engl J Med 2010, 363: 411–422. 10.1056/NEJMoa1001294CrossRefPubMed

de-Bono JS, Oudard S, Ozguroglu M, Hansen S, Machiels J-P, Kocak I, Gravis G, Bodrogi I, Mackenzie MJ, Shen L: Prednisone plus cabazitaxel or mitoxantrone for metastatic castration-resistant prostate cancer progressing after docetaxel treatment: a randomised open-label trial. Lancet 2010, 376: 1147–1154. 10.1016/S0140-6736(10)61389-XCrossRefPubMed

Fizazi K, Carducci M, Smith M, Damião R, Brown J, Karsh L, Milecki P, Shore N, Rader M, Wang H: Denosumab versus zoledronic acid for treatment of bone metastases in men with castration-resistant prostate cancer: a randomised, double-blind study. Lancet 2011, 377: 813–822. 10.1016/S0140-6736(10)62344-6CrossRefPubMed

De-Bono JS, Logothetis CJ, Molina A, Fizazi K, North S, Chu L, Chi KN, Jones RJ, Goodman OB Jr, Saad F: Abiraterone and increased survival in metastatic prostate cancer. N Engl J Med 2011, 364: 1995–2005. 10.1056/NEJMoa1014618CrossRefPubMed

Scher HI, Beer TM, Higano CS, Anand A, Taplin M-E, Efstathiou E, Rathkopf D, Shelkey J, Yu EY, Alumkal J: Antitumour activity of MDV3100 in castration-resistant prostate cancer: a phase 1–2 study. Lancet 2010, 375: 1437–1446. 10.1016/S0140-6736(10)60172-9CrossRefPubMed

Soloway MS, Hardeman SW, Hickey D, Todd B, Soloway S, Raymond J, Moinuddin M: Stratification of patients with metastatic prostate cancer based on extent of disease on initial bone scan. Cancer 1988, 61: 195–202. 10.1002/1097-0142(19880101)61:1<195::AID-CNCR2820610133>3.0.CO;2-YCrossRefPubMed

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. 10.1038/sj.bjc.6600715CrossRefPubMed

10.

Scher HI, Halabi S, Tannock I, Morris M, Sternberg CN, Carducci MA, Eisenberger MA, Higano C, Bubley GJ, Dreicer R: 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: 1148–1159. 10.1200/JCO.2007.12.4487CrossRefPubMed

11.

Dennis ER, Jia X, Mezheritskiy IS, Stephenson RD, Schoder H, Fox JJ, Heller G, Scher HI, Larson SM, Morris MJ: Bone scan index: a quantitative treatment response biomarker for castration-resistant metastatic prostate cancer. J Clin Oncol 2012, 30: 519–524. 10.1200/JCO.2011.36.5791CrossRefPubMed

12.

Ulmert D, Kaboteh R, Fox JJ, Savage C, Evans MJ, Lilja H, Abrahamsson P-A, Björk T, Gerdtsson A, Bjartell A: 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. 10.1016/j.eururo.2012.01.037CrossRefPubMed

13.

Snyder W: Report of the Task Group on Reference Man: A Report/Prepared by a Task Group of Committee 2 of the International Commission on Radiological Protection. Oxford: Pergamon; 1975.

14.

Sadik M, Suurkula M, Höglund P, Järund A, Edenbrandt L: Quality of planar whole-body bone scan interpretations—a nationwide survey. Eur J Nucl Med Mol Imaging 2008, 35: 1464–1472. 10.1007/s00259-008-0721-5CrossRefPubMed

15.

Ore L, Hardoff R, Gips S, Tamir A, Epstein L: Observer variation in the interpretation of bone scintigraphy. J Clin Epidemiol 1996, 49: 67–71. 10.1016/0895-4356(95)00056-9CrossRefPubMed

16.

Sadik M, Hamadeh I, Nordblom P, Suurkula M, Höglund P, Ohlsson M, Edenbrandt L: Computer-assisted interpretation of planar whole-body bone scans. J Nucl Med 2008, 49: 1958–1965. 10.2967/jnumed.108.055061CrossRefPubMed

Title: Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index
Authors: Reza Kaboteh
Peter Gjertsson
Håkan Leek
Milan Lomsky
Mattias Ohlsson
Karl Sjöstrand
Lars Edenbrandt
Publication date: 01-12-2013
Publisher: Springer Berlin Heidelberg
Published in: EJNMMI Research / Issue 1/2013
Electronic ISSN: 2191-219X
DOI: https://doi.org/10.1186/2191-219X-3-64

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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