BMC Medical Imaging | |
Analysis of regional bone scan index measurements for the survival of patients with prostate cancer | |
Mattias Ohlsson3  Lars Edenbrandt2  May Sadik1  Jonas Kalderstam3  | |
[1] Department of Molecular and Clinical Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden;Department of Clinical Sciences, Lund University, Malmö, Sweden;Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden | |
关键词: Prostate cancer; Survival analysis; Bone scan index; Machine learning; Artificial neural networks; | |
Others : 1090242 DOI : 10.1186/1471-2342-14-24 |
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received in 2014-03-06, accepted in 2014-07-07, 发布年份 2014 | |
【 摘 要 】
Background
A bone scan is a common method for monitoring bone metastases in patients with advanced prostate cancer. The Bone Scan Index (BSI) measures the tumor burden on the skeleton, expressed as a percentage of the total skeletal mass. Previous studies have shown that BSI is associated with survival of prostate cancer patients. The objective in this study was to investigate to what extent regional BSI measurements, as obtained by an automated method, can improve the survival analysis for advanced prostate cancer.
Methods
The automated method for analyzing bone scan images computed BSI values for twelve skeletal regions, in a study population consisting of 1013 patients diagnosed with prostate cancer. In the survival analysis we used the standard Cox proportional hazards model and a more advanced non-linear method based on artificial neural networks. The concordance index (C-index) was used to measure the performance of the models.
Results
A Cox model with age and total BSI obtained a C-index of 70.4%. The best Cox model with regional measurements from Costae, Pelvis, Scapula and the Spine, together with age, got a similar C-index (70.5%). The overall best single skeletal localisation, as measured by the C-index, was Costae. The non-linear model performed equally well as the Cox model, ruling out any significant non-linear interactions among the regional BSI measurements.
Conclusion
The present study showed that the localisation of bone metastases obtained from the bone scans in prostate cancer patients does not improve the performance of the survival models compared to models using the total BSI. However a ranking procedure indicated that some regions are more important than others.
【 授权许可】
2014 Kalderstam et al.; licensee BioMed Central Ltd.
【 预 览 】
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20150128155229349.pdf | 1969KB | download | |
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Figure 1. | 66KB | Image | download |
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【 参考文献 】
- [1]Soloway MS, Hardeman SW, Hickey D, Raymond J, Todd B, Soloway S, Moinuddin M: Stratification of patients with metastatic prostate cancer based on extent of disease on initial bone scan. Cancer 1988, 61:195-202.
- [2]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. doi:10.1038/sj.bjc.6600715
- [3]Erdi YE, Humm JL, Imbriaco M, Yeung H, Larson SM: Quantitative bone metastases analysis based on image segmentation. J Nucl Med 1997, 38:1401-1406.
- [4]Sabbatini P, Larson SM, Kremer A, Zhang ZF, Sun M, Yeung H, Imbriaco M, Horak I, Conolly M, Ding C, Ouyang P, Kelly WK, Scher HI: Prognostic significance of extent of disease in bone in patients with androgen-independent prostate cancer. J Clin Oncol 1999, 17:948-957.
- [5]Sadik M, Suurküla M, Höglund P, Jarund A, Edenbrandt L: Quality of planar whole-body bone scan interpretations - a nationwide survey. Eur J Nucl Med Mol Imaging 2008, 35:1464-1472. doi:10.1007/s00259-008-0721-5
- [6]Kaboteh R, Gjertsson P, Lomsky M, Ohlsson M, Sjöstrand K, Edenbrandt L, Leek Hk: Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index. EJNMMI Res 2013, 3(1):64. doi:10.1186/2191-219X-3-64 BioMed Central Full Text
- [7]Ulmert D, Kaboteh R, Fox JJ, Savage C, Evans MJ, Lilja H, Abrahamsson P-A, Björk T, Gerdtsson A, Bjartell A, Gjertsson P, Höglund P, Lomsky M, Ohlsson M, Richter J, Sadik M, Morris MJ, Scher HI, Sjöstrand K, Yu A, Suurküla M, Edenbrandt L, Larson SM: 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(1):78-84. doi:10.1016/j.eururo.2012.01.037
- [8]Mitsui Y, Shiina H, Yamamoto Y, Haramoto M, Arichi N, Yasumoto H, Kitagaki H, Igawa M: Prediction of survival benefit using an automated bone scan index in patients with castration-resistant prostate cancer. BJU Int 2012, 110:628-34. doi:10.1111/j.1464-410X.2012.11355.x
- [9]Rigaud J, Tiguert R, Le Normand L, Karam G, Glemain P, Buzelin J-M, Bouchot O: Prognostic value of bone scan in patients with metastatic prostate cancer treated initially with androgen deprivation therapy. J Urol 2002, 168:1423-1426.
- [10]Hovsepian JA, Byar DP: Quantitative radiology for staging and prognosis of patients with advanced prostatic carcinoma. Correlations with other pretreatment characteristics. Urology 1979, 14:145-150. doi:10.1016/0090-4295(79)90147-X
- [11]Kalderstam J, Edén P, Bendahl P-O, Strand C, Ohlsson M, Fernö M: Training artificial neural networks directly on the concordance index for censored data using genetic algorithms. Artif Intell Med 2013, 58(2):125-132.
- [12]D’Amico AV, Desjardin A, Chung A, Chen MH, Schultz D, Whittington R, Malkowicz SB, Wein A, Tomaszewski JE, Renshaw AA, Loughlin K, Richie JP: Assessment of outcome prediction models for patients with localized prostate carcinoma managed with radical prostatectomy or external beam radiation therapy. Cancer 1998, 82:1887-1896.
- [13]Stattin P, Holmberg E, Johansson J-E, Holmberg L, Adolfsson J, Hugosson J: Outcomes in localized prostate cancer: national prostate cancer register of sweden follow-up study. J Nat Cancer Inst 2010, 102:950-958. doi:10.1093/jnci/djq154
- [14]Sadik M, Hamadeh I, Nordblom P, Suurkula M, Höglund P, Ohlsson M, Edenbrandt L: Computer-assisted interpretation of planar whole-body bone scans. J Nuclear Med 2008, 49(12):1958-1965.
- [15]Cox DR: Regression models and life-tables. J R Stat Soc Series B (Methodological) 1972, 34(2):187-220.
- [16]Harrell FE, Lee KL, Mark DB: Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996, 15:361-387. doi:10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4
- [17]Breiman L: Bagging predictors. Mach Learn 1996, 24(2):123-140.
- [18]Singh D, Yi WS, Brasacchio RA, Muhs AG, Smudzin T, Williams JP, Messing E, Okunieff P: Is there a favorable subset of patients with prostate cancer who develop oligometastases? Int J Radiat Oncol Biol Phys 2004, 58(1):3-10.
- [19]Yamashita K, Denno K, Ueda T, Komatsubara Y, Kotake T, Usami M, Maeda O, Nakano S, Hasegawa Y: Prognostic significance of bone metastases in patients with metastatic prostate cancer. Cancer 1993, 71:1297-1302.
- [20]Batson OV: The function of the vertebral veins and their role in the spread of metastases. Ann Surg 1940, 112(1):138.
- [21]Roudier M, Vesselle H, True L, Higano C, Ott S, King S, Vessella R: Bone histology at autopsy and matched bone scintigraphy findings in patients with hormone refractory prostate cancer: the effect of bisphosphonate therapy on bone scintigraphy results. Clin Exp Metastasis 2003, 20(2):171-180.
- [22]Helyar V, Mohan HK, Barwick T, Livieratos L, Gnanasegaran G, Clarke SE, Fogelman I: The added value of multislice spect/ct in patients with equivocal bony metastasis from carcinoma of the prostate. Eur J Nucl Med Mol Imaging 2010, 37(4):706-713.
- [23]Wondergem M, van der Zant FM, van der Ploeg T, Knol RJ: A literature review of 18f-fluoride pet/ct and 18f-choline or 11c-choline pet/ct for detection of bone metastases in patients with prostate cancer. Nuclear Med Commun 2013, 34(10):935-945.
- [24]Cook GJR: Pet and pet/ct imaging of skeletal metastases. Cancer Imaging 2010, 10(1):153.
- [25]Chakraborty D, Bhattacharya A, Mete UK, Mittal BR: Comparison of 18f fluoride pet/ct and 99mtc-mdp bone scan in the detection of skeletal metastases in urinary bladder carcinoma. Clinical Nuclear Med 2013, 38(8):616-621.