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Targeted prostate biopsy using statistical image analysis.

Publication ,  Journal Article
Zhan, Y; Shen, D; Zeng, J; Sun, L; Fichtinger, G; Moul, J; Davatzikos, C
Published in: IEEE Trans Med Imaging
June 2007

In this paper, a method for maximizing the probability of prostate cancer detection via biopsy is presented, by combining image analysis and optimization techniques. This method consists of three major steps. First, a statistical atlas of the spatial distribution of prostate cancer is constructed from histological images obtained from radical prostatectomy specimen. Second, a probabilistic optimization framework is employed to optimize the biopsy strategy, so that the probability of cancer detection is maximized under needle placement uncertainties. Finally, the optimized biopsy strategy generated in the atlas space is mapped to a specific patient space using an automated segmentation and elastic registration method. Cross-validation experiments showed that the predictive power of the optimized biopsy strategy for cancer detection reached the 94%-96% levels for 6-7 biopsy cores, which is significantly better than standard random-systematic biopsy protocols, thereby encouraging further investigation of optimized biopsy strategies in prospective clinical studies.

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Published In

IEEE Trans Med Imaging

DOI

ISSN

0278-0062

Publication Date

June 2007

Volume

26

Issue

6

Start / End Page

779 / 788

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Prostatic Neoplasms
  • Prostate
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Male
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans
 

Citation

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Zhan, Y., Shen, D., Zeng, J., Sun, L., Fichtinger, G., Moul, J., & Davatzikos, C. (2007). Targeted prostate biopsy using statistical image analysis. IEEE Trans Med Imaging, 26(6), 779–788. https://doi.org/10.1109/TMI.2006.891497
Zhan, Yiqiang, Dinggang Shen, Jianchao Zeng, Leon Sun, Gabor Fichtinger, Judd Moul, and Christos Davatzikos. “Targeted prostate biopsy using statistical image analysis.IEEE Trans Med Imaging 26, no. 6 (June 2007): 779–88. https://doi.org/10.1109/TMI.2006.891497.
Zhan Y, Shen D, Zeng J, Sun L, Fichtinger G, Moul J, et al. Targeted prostate biopsy using statistical image analysis. IEEE Trans Med Imaging. 2007 Jun;26(6):779–88.
Zhan, Yiqiang, et al. “Targeted prostate biopsy using statistical image analysis.IEEE Trans Med Imaging, vol. 26, no. 6, June 2007, pp. 779–88. Pubmed, doi:10.1109/TMI.2006.891497.
Zhan Y, Shen D, Zeng J, Sun L, Fichtinger G, Moul J, Davatzikos C. Targeted prostate biopsy using statistical image analysis. IEEE Trans Med Imaging. 2007 Jun;26(6):779–788.

Published In

IEEE Trans Med Imaging

DOI

ISSN

0278-0062

Publication Date

June 2007

Volume

26

Issue

6

Start / End Page

779 / 788

Location

United States

Related Subject Headings

  • Sensitivity and Specificity
  • Reproducibility of Results
  • Prostatic Neoplasms
  • Prostate
  • Pattern Recognition, Automated
  • Nuclear Medicine & Medical Imaging
  • Male
  • Image Interpretation, Computer-Assisted
  • Image Enhancement
  • Humans