The Journal of Urology
Volume 183, Issue 5 , Pages 1808-1815, May 2010

Tumor Volume in Radical Prostatectomy Specimens Assessed by Digital Image Analysis Software Correlates With Other Prognostic Factors

  • Justin C. Sherwin

      Affiliations

    • TissuPath Pty Ltd. and Faculty of Medicine, Nursing and Health Sciences, Monash University School of Medicine, Melbourne, Australia
  • ,
  • George Mirmilstein

      Affiliations

    • Department of Surgery, University of Melbourne, Austin Hospital, Heidelberg, Victoria, Australia
  • ,
  • John Pedersen

      Affiliations

    • TissuPath Pty Ltd. and Faculty of Medicine, Nursing and Health Sciences, Monash University School of Medicine, Melbourne, Australia
  • ,
  • Nathan Lawrentschuk

      Affiliations

    • Urology Department, University Health Network, University of Toronto and Department of Surgical Oncology, Princess Margaret Hospital, Toronto, Ontario, Canada
    • Corresponding Author InformationCorrespondence: Division of Urology, Department of Surgical Oncology, University of Toronto, Princess Margaret Hospital, 610 University Ave. 3-130, Toronto, Ontario, M5G 2M9, Canada (telephone: +1-416-946-4501, extension 4955; FAX: +1-416-946-6590)
  • ,
  • Damien Bolton

      Affiliations

    • Department of Surgery, University of Melbourne, Austin Hospital, Heidelberg, Victoria, Australia
  • ,
  • John Mills

      Affiliations

    • TissuPath Pty Ltd. and Faculty of Medicine, Nursing and Health Sciences, Monash University School of Medicine, Melbourne, Australia

Received 21 September 2009 published online 18 March 2010.

Purpose

Digital image analysis software to review histopathology specimens is advancing uropathology by objectivity and reproducibility. Subjective pathologist assessed prostate tumor volume calculations correlate with known prognostic factors at radical prostatectomy. We ascertained whether image analysis software calculations of prostate tumor volume correlate with such prognostic factors, particularly positive surgical margins.

Materials and Methods

Prostate tumor volume was calculated using digital image analysis software in 851 sequential radical prostatectomy specimens. Results were correlated with clinicopathological data by logistic regression.

Results

Median prostate tumor volume was 2.2 cc (IQR 0.9–3.8). Median peripheral and transition zone tumor volume was 1.9 and 0.6 cc, respectively. Transition zone tumors were noted in 236 specimens (27.8%) and positive surgical margins occurred in 244 (28.7%). Tumors with extensive positive surgical margins had larger image analysis software assessed prostate tumor volume (p = 0.029) and peripheral zone volume (p = 0.007) than those with only focal positive surgical margins. On univariate analysis positive surgical margin tumors were larger and had seminal vesicle invasion, extraprostatic extension, perineural invasion and higher preoperative prostate specific antigen than those without positive surgical margins (each p <0.001). A linear relationship existed between image analysis software determined prostate tumor volume, and increasing tumor stage, Gleason score and prostate specific antigen (p for trend <0.001). On multivariate analysis tumor volume and tumor volume as a percent of prostate volume predicted positive surgical margins.

Conclusions

Prostate tumor volume determined objectively by image analysis software correlates with positive surgical margins, as do prognostic variables such as extraprostatic extension, seminal vesicle invasion, perineural invasion, peripheral zone volume and Gleason score greater than 7. Objective digital image analysis software assessment appears to be a valid form to determine prostate tumor volume at radical prostatectomy. It is a useful adjunct to other histopathological analyses.

Key Words: prostate, prostatic neoplasm, prostatectomy, image processing, computer-assisted, tumor burden

Abbreviations and Acronyms: EPE, extraprostatic extension, IAS, image analysis software, PC, prostate cancer, PNI, perineural invasion, PSA, serum prostatic specific antigen, PSM, positive surgical margin, PTV, prostate tumor volume, PZ, peripheral zone, RP, radical prostatectomy, SVI, seminal vesicle invasion, TZ, transition zone

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 30.00 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

 Study received institutional review board approval.

 Supported by a research grant from TissuPath Pty Ltd.

 Supplementary material for this article can be obtained at http://www.tissupath.com.au/table-6-from-j-urology.asp.

 For another article on a related topic see page 2062.

PII: S0022-5347(10)00018-2

doi:10.1016/j.juro.2010.01.017

Refers to article:

  • The EGFR Polymorphism rs884419 is Associated With Freedom From Recurrence in Patients With Resected Prostate Cancer , 19 March 2010

    Carmen A. Perez, Heidi Chen, Yu Shyr, Regina Courtney, Wei Zheng, Qiuyin Cai, Misun Hwang, Jerry Jaboin, Stephen Schleicher, Luigi Moretti, Marcia Wills, Joseph A. Smith, Bo Lu
    The Journal of Urology May 2010 (Vol. 183, Issue 5, Pages 2062-2069)

The Journal of Urology
Volume 183, Issue 5 , Pages 1808-1815, May 2010