SpringerLink
Log in

Preoperatiove prostate cancer volume estimation based on clinically correlated needle biopsy simulation

  • Conference paper
CARS 2002 Computer Assisted Radiology and Surgery

  • 15 Accesses

Abstract

This paper presents a new approach to the estimation of preoperative prostate cancer volume using clinically correlated prostate needle core biopsy simulation on a large number of digitized prostatectomy speciemns with clinically localized cancers. The analysis of the 10-pattern and the sextant protocols on cancer volume estimation with age, race PSA, prostate volume, number of positive cores, and 2-way and 3-way interactions of these varaibles in the original regression model as predictors revealed that only three of these variables and two 2-way interactions are needed to estimate prostate cancer volume. The model consists of the main effects of prostate volume, number of positive cores, and PSA plus the 2-way interactions of prostate volume with number of positive cores and prostate volume with PSA, and it explains as much as 40% of the variance of the log cancer volume.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 42.79
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 53.49
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. D’Amico AV, Chang H, Holupka E et al. Calculated prostate cancer volume: The optimal predictor of actual cancer volume and pathologic stage. Urology 49(3): 385–391, 1997.

    Article  PubMed  Google Scholar 

  2. Chan LW, Stamey TA. Calculating prostate cancer volume preoperatively: the D’Amico equation and some other observations. The Journal of Urology, 159(6), 1998.

    Google Scholar 

  3. Kabalin JN, McNeal JE, Johnstone IM, Stamey TA. Serum Prostate-Specific Antigen and the biologic progression of prostate cancer. Urology 46(1), 1995.

    Google Scholar 

  4. Terris M, Haney DJ, Johnstone IM, McNeal JE, Stamey TA. Prediction of prostate cancer volume using prostate-specific antigen levels, tranrectal ultrasound, and systematic sextant biopsies. Urology 45(1), 1995.

    Google Scholar 

  5. Peller PA, Young DC, Marmaduke DP, March WL, Badalament RA. Sextant prostate biopsies: A histopathologic correlation with radical prostatectomy specimens. Cancer 75(2), 1995.

    Google Scholar 

  6. Egevad L, Norberg M, Mattson S, Norlen BJ, Busch C. Estimation of prostate cancer volume by multiple core biopsies before radical prostatectomy. Urology 52(4), 1998.

    Google Scholar 

  7. Dietrick DD, McNeal JE, Stamey TA. Core cancer length in ultrasound-guided systematic biopsies: A preoperative evaluation of prostate cancer volume. Urology 45(6), 1995.

    Google Scholar 

  8. Zeng J, Bauer J, Zhang W et al. Prostate biopsy protocols: 3-D visualization-based evaluation and clinical correlation. Computer Aided Surgery, 6:14–21, 2001.

    Article  PubMed  CAS  Google Scholar 

  9. Xuan J, Sesterhenn I, Hayes W et al. Surface reconstruction and visualization of the surgical prostate model. Proc. of SPIE Medical Imaging, Vol. 3031, 1997.

    Google Scholar 

  10. Zeng J, Kaplan CR, Xuan J et al. Optimizing prostate needle biopsy through 3D simulation. Proc. of SPIE Medical Imaging, Vol. 3335, 1998.

    Google Scholar 

  11. Bauer JJ, Zeng J, Weir J et al. 3D Computer simulated prostate models: Lateral prostate biopsies increase the detection rate of prostate cancer. Urology 53(5):961–967, 1999.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ISIS Center, Department of Radiology, Georgetown University Medical Center, Washington DC, USA

    Jianchao Zeng & Seong K. Mun

  2. Henry Jackson Foundation, Rockville, MD, USA

    Roger R. Connelly

  3. Urology Service, Department of Surgery, Walter Reed Army Medical Center, Washington DC, USA

    John J. Bauer

  4. Department of Genitourinary Pathology, Armed Forces Institute of Pathology, Washington DC, USA

    Wei Zhang & Isabell A. Sesterhenn

  5. Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of Health Sciences, Bethesda, MD, USA

    Judd W. Moul

Authors
  1. Jianchao Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Roger R. Connelly
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. John J. Bauer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Isabell A. Sesterhenn
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Judd W. Moul
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Seong K. Mun
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Graphics and Computer Assisted Medicine, Secr.FR 3-3, Technical University Berlin, Franklinstrasse 28-29, 10587, Berlin, Germany

    Heinz U. Lemke PhD

  2. Faculty of Medicine, School of Allied Health Sciences, Department of Radiological Technology & Medical Engineering, Osaka University, 1-7 Yamadaoka, Suita City, Osaka, 565-0871, Japan

    Kiyonari Inamura PhD

  3. Department of Radiology, Kurt Rossmann Laboratories, University of Chicago Hospitals, 5841 S. Maryland Avenue, Mailcode 2026, Chicago, IL, 60637, USA

    Kunio Doi PhD

  4. College of Medicine, Department of Radiology, The University of Iowa, 200 Hawkins Drive, Room 3966 JPP, Iowa City, IA, 552242-1077, USA

    Michael W. Vannier MD

  5. School of Dentistry, Department of Diagnosis and General Dentistry, University of Louisville, 501 South Preston, Room 222E, Louisville, KY, 40292, USA

    Allan G. Farman PhD, DSc

  6. Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, Albinusdreef 2, 2300 RC, Leiden, The Netherlands

    Johan H. C. Reiber PhD

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zeng, J. et al. (2002). Preoperatiove prostate cancer volume estimation based on clinically correlated needle biopsy simulation. In: Lemke, H.U., Inamura, K., Doi, K., Vannier, M.W., Farman, A.G., Reiber, J.H.C. (eds) CARS 2002 Computer Assisted Radiology and Surgery. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56168-9_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-56168-9_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62844-3

  • Online ISBN: 978-3-642-56168-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation