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Calibration of Urine Biomarkers for Ovarian Cancer Diagnosis

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Multimedia and Ubiquitous Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 240))

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Abstract

For the ovarian cancer diagnosis with biomarkers in urine samples, various calibration functions are selected and investigated to compensate the variability of their concentrations. The 15 biomarkers tested in this paper were extracted and measured for the urine samples of 178 patients. Three types of functions were employed to calibrate the biomarkers, including the existing one that divides the biomarker concentration by that of the creatinine. The AUC of the ROC of the calibrated biomarker with each function was chosen to evaluate the performance. Experimental results show that the best performance could be obtained by dividing the concentration of the biomarker by that of the creatinine raised to the power of the optimal exponent that was determined for the maximum AUC of the calibrated biomarker.

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References

  1. Choi SK, Cho TI, Lee TJ (2012) Immunohistochemical study of BRCA1, BRCA2, and poly(ADP-ribose) polymerase-1 in ovarian tumors. Korean J Obstet Gynecol 55:8–16

    Article  Google Scholar 

  2. Hellstrom I, Heagerty PJ, Swisher EM, Liu P, Jaffar J, Agnew K, Hellstrom KE (2010) Detection of the HE4 protein in urine as a biomarker for ovarian neoplasms. Cancer Lett 296:43–48

    Article  Google Scholar 

  3. Hellstrom I, Heagerty PJ, Swisher EM, Liu P, Jaffar J, Agnew K, Hellstrom KE (2010) Detection of the HE4 protein in urine as a biomarker for ovarian neoplasms. Cancer Lett 296:43–48

    Article  Google Scholar 

  4. Nolen BM, Lokshin AE (2012) Multianalyte assay systems in the differential diagnosis of ovarian cancer. Expert Opin Med Diagn 6(2):131–138

    Article  Google Scholar 

  5. Pacific Toxicology Laboratories http://www.pactox.com/library/article.php?articleID=18

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Acknowledgments

The research was supported by the Research & Business Development Program through the Ministry of Knowledge Economy, Science and Technology (N0000425) and the Ministry of Knowledge Economy (MKE), Korea Institute for Advancement of Technology (KIAT) and Gangwon Leading Industry Office through the Leading Industry Development for Economic Region.

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Authors and Affiliations

  1. Department of Ubiquitous Computing, Hallym University, 1 Hallymdaehak-gil, Chuncheon, Gangwon-do, 200-702, Korea

    Yu-Seop Kim, Eun-Suk Yang, Kyoung-Min Nam, Chan-Young Park, Hye-Jung Song & Jong-Dae Kim

  2. Bio-IT Research Center, Hallym University, 1 Hallymdaehak-gil, Chuncheon, Gangwon-do, 200-702, Korea

    Yu-Seop Kim, Eun-Suk Yang, Kyoung-Min Nam, Chan-Young Park, Hye-Jung Song & Jong-Dae Kim

Authors
  1. Yu-Seop Kim
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  2. Eun-Suk Yang
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  3. Kyoung-Min Nam
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  4. Chan-Young Park
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  5. Hye-Jung Song
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  6. Jong-Dae Kim
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Corresponding author

Correspondence to Jong-Dae Kim .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Dept of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR

    Joseph Kee-Yin Ng

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

  4. School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, Australia

    Borgy Waluyo

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© 2013 Springer Science+Business Media Dordrecht(Outside the USA)

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Kim, YS., Yang, ES., Nam, KM., Park, CY., Song, HJ., Kim, JD. (2013). Calibration of Urine Biomarkers for Ovarian Cancer Diagnosis. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_21

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  • DOI: https://doi.org/10.1007/978-94-007-6738-6_21

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6737-9

  • Online ISBN: 978-94-007-6738-6

  • eBook Packages: EngineeringEngineering (R0)

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