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Optimal method for measuring tumor extent in needle biopsy specimens to identify small-volume prostate cancer

  • Keishi Kajikawa
  • , Kent Kanao
  • , Ikuo Kobayashi
  • , Genya Nishikawa
  • , Takahiko Yoshizawa
  • , Yoshiharu Kato
  • , Masahito Watanabe
  • , Kenji Zennami
  • , Kogenta Nakamura
  • , Makoto Sumitomo

研究成果: ジャーナルへの寄稿学術論文査読

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抄録

Objectives: To compare various methods for measuring tumor extent in prostate biopsy specimens to identify small-volume prostate cancer. Methods: A total of 100 radical prostatectomy specimens were retrospectively analyzed. Receiver operating characteristic analysis was used to compare the abilities of prostate-specific antigen density, and four measures of tumor extent in prostate biopsy specimens - positive core number, greatest percentage of cancer in a single core, greatest length of cancer in cores and total length of cancer in cores - to identify small volume prostate cancer. Four definitions of insignificant cancer volume were used in this analysis: index and total tumor volume <0.5 mL, index tumor volume <1.3 mL and total tumor volume <2.5 mL. Multivariate analysis was also used to evaluate variables for predicting small-volume prostate cancer. Results: Total length of cancer in cores had the highest areas under the curve of all the measures defining small-volume prostate cancer: index tumor volume <0.5 mL (0.855), total tumor volume <0.5 mL (0.877), index tumor volume <1.3 mL (0.784) and total tumor volume <2.5 mL (0.818). On multivariate analysis total length of cancer in cores was an independent predictive factor for prostate cancers with index tumor volume <0.5 mL (P < 0.001), <1.3 mL (P < 0.001) and total tumor volume <0.5 mL (P < 0.001), respectively. Conclusion: Our data suggest that total length of cancer in cores is the optimal measure of tumor extent in prostate biopsy specimens for identifying small-volume prostate cancer.

本文言語英語
ページ(範囲)62-68
ページ数7
ジャーナルInternational Journal of Urology
23
1
DOI
出版ステータス出版済み - 01-01-2016
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  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 泌尿器学

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