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3-D computer visualization and interactive prostate biopsy simulation leads to an improved systematic technique for the detection of prostate cancer: clinical correlation.

Publication ,  Journal Article
Bauer, JJ; Zeng, J; Zhang, W; McLeod, DG; Sesterhenn, IA; Connelly, RR; Mun, SK; Moul, JW
Published in: Stud Health Technol Inform
2000

OBJECTIVES: Urologists routinely use the systematic sextant needle biopsy technique to detect prostate cancer. However, recent evidence suggests that this technique has a significant sampling error. Recent data based upon whole-mounted step-sectioned radical prostatectomy specimens using a 3-D computer assisted prostate biopsy simulator suggests that an increased detection rate is possible using laterally placed biopsies. A new 10-core biopsy pattern was shown to be superior to the traditional sextant biopsy. This pattern includes the traditional sextant biopsy cores and four laterally placed biopsies in the right and left apex and mid portion of the prostate gland. The objective of this study is to confirm the higher prostate cancer detection rate obtained using the 10-core biopsy pattern in a small cohort of patients. METHODS: We retrospectively reviewed 35 consecutive patients with a pathologic diagnosis of prostate cancer biopsied by a single urologist using the 10-core biopsy pattern. The frequency of positive biopsy was determined for each core. Additionally, the sextant and 10-core prostate biopsy patterns were compared with respect to prostate cancer detection rate. RESULTS: Of the 35 patients diagnosed with prostate cancer, 54.3% (19/35) were diagnosed when reviewing the sextant biopsy data only. Review of the 10-core pattern revealed that an additional 45.7% (16/35) of patients were diagnosed solely with the laterally placed biopsies. The laterally placed biopsies had the highest frequency of positive biopsies when compared to the sextant cores. CONCLUSIONS: Our results suggest that biopsy protocols that use laterally placed biopsies based upon a five region anatomical model are superior to the routinely used sextant prostate biopsy pattern. Lateral biopsies in the apex and mid portion of the gland are the most important.

Duke Scholars

Published In

Stud Health Technol Inform

ISSN

0926-9630

Publication Date

2000

Volume

70

Start / End Page

20 / 25

Location

Netherlands

Related Subject Headings

  • User-Computer Interface
  • Retrospective Studies
  • Prostatic Neoplasms
  • Prostate
  • Predictive Value of Tests
  • Medical Informatics
  • Male
  • Image Processing, Computer-Assisted
  • Humans
  • Computer Simulation
 

Citation

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MLA
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Bauer, J. J., Zeng, J., Zhang, W., McLeod, D. G., Sesterhenn, I. A., Connelly, R. R., … Moul, J. W. (2000). 3-D computer visualization and interactive prostate biopsy simulation leads to an improved systematic technique for the detection of prostate cancer: clinical correlation. Stud Health Technol Inform, 70, 20–25.
Bauer, J. J., J. Zeng, W. Zhang, D. G. McLeod, I. A. Sesterhenn, R. R. Connelly, S. K. Mun, and J. W. Moul. “3-D computer visualization and interactive prostate biopsy simulation leads to an improved systematic technique for the detection of prostate cancer: clinical correlation.Stud Health Technol Inform 70 (2000): 20–25.
Bauer JJ, Zeng J, Zhang W, McLeod DG, Sesterhenn IA, Connelly RR, et al. 3-D computer visualization and interactive prostate biopsy simulation leads to an improved systematic technique for the detection of prostate cancer: clinical correlation. Stud Health Technol Inform. 2000;70:20–5.
Bauer JJ, Zeng J, Zhang W, McLeod DG, Sesterhenn IA, Connelly RR, Mun SK, Moul JW. 3-D computer visualization and interactive prostate biopsy simulation leads to an improved systematic technique for the detection of prostate cancer: clinical correlation. Stud Health Technol Inform. 2000;70:20–25.

Published In

Stud Health Technol Inform

ISSN

0926-9630

Publication Date

2000

Volume

70

Start / End Page

20 / 25

Location

Netherlands

Related Subject Headings

  • User-Computer Interface
  • Retrospective Studies
  • Prostatic Neoplasms
  • Prostate
  • Predictive Value of Tests
  • Medical Informatics
  • Male
  • Image Processing, Computer-Assisted
  • Humans
  • Computer Simulation