Ability of preoperative 3.0-Tesla magnetic resonance imaging to predict the absence of side-specific extracapsular extension of prostate cancer

Tomohiko Hara, Hiroyuki Nakanishi, Tohru Nakagawa, Motokiyo Komiyama, Takashi Kawahara, Tomoko Manabe, Mototaka Miyake, Eri Arai, Yae Kanai, Hiroyuki Fujimoto

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Objective: Recent studies have shown an improvement in prostate cancer diagnosis with the use of 3.0-Tesla magnetic resonance imaging. We retrospectively assessed the ability of this imaging technique to predict side-specific extracapsular extension of prostate cancer. Methods: From October 2007 to August 2011, prostatectomy was carried out in 396 patients after preoperative 3.0-Tesla magnetic resonance imaging. Among these, 132 (primary sample) and 134 patients (validation sample) underwent 12-core prostate biopsy at the National Cancer Center Hospital of Tokyo, Japan, and at other institutions, respectively. In the primary dataset, univariate and multivariate analyses were carried out to predict side-specific extracapsular extension using variables determined preoperatively, including 3.0-Tesla magnetic resonance imaging findings (T2-weighted and diffusion-weighted imaging). A prediction model was then constructed and applied to the validation study sample. Results: Multivariate analysis identified four significant independent predictors (P<0.05), including a biopsy Gleason score of ≥8, positive 3.0-Tesla diffusion-weighted magnetic resonance imaging findings, ≥2 positive biopsy cores on each side and a maximum percentage of positive cores ≥31% on each side. The negative predictive value was 93.9% in the combination model with these four predictors, meanwhile the positive predictive value was 33.8%. Good reproducibility of these four significant predictors and the combination model was observed in the validation study sample. Conclusions: The side-specific extracapsular extension prediction by the biopsy Gleason score and factors associated with tumor location, including a positive 3.0-Tesla diffusion-weighted magnetic resonance imaging finding, have a high negative predictive value, but a low positive predictive value.

Original languageEnglish
Pages (from-to)993-999
Number of pages7
JournalInternational Journal of Urology
Volume20
Issue number10
DOIs
Publication statusPublished - 2013 Oct
Externally publishedYes

Fingerprint

Prostatic Neoplasms
Magnetic Resonance Imaging
Biopsy
Diffusion Magnetic Resonance Imaging
Neoplasm Grading
Validation Studies
Multivariate Analysis
Cancer Care Facilities
Tokyo
Prostatectomy
Prostate
Japan
Neoplasms

Keywords

  • 3.0-Tesla diffusion-weighted magnetic resonance imaging
  • Capsular invasion
  • Extracapsular extension
  • Nerve-sparing radical prostatectomy
  • Prostate cancer

ASJC Scopus subject areas

  • Urology

Cite this

Ability of preoperative 3.0-Tesla magnetic resonance imaging to predict the absence of side-specific extracapsular extension of prostate cancer. / Hara, Tomohiko; Nakanishi, Hiroyuki; Nakagawa, Tohru; Komiyama, Motokiyo; Kawahara, Takashi; Manabe, Tomoko; Miyake, Mototaka; Arai, Eri; Kanai, Yae; Fujimoto, Hiroyuki.

In: International Journal of Urology, Vol. 20, No. 10, 10.2013, p. 993-999.

Research output: Contribution to journalArticle

Hara, Tomohiko ; Nakanishi, Hiroyuki ; Nakagawa, Tohru ; Komiyama, Motokiyo ; Kawahara, Takashi ; Manabe, Tomoko ; Miyake, Mototaka ; Arai, Eri ; Kanai, Yae ; Fujimoto, Hiroyuki. / Ability of preoperative 3.0-Tesla magnetic resonance imaging to predict the absence of side-specific extracapsular extension of prostate cancer. In: International Journal of Urology. 2013 ; Vol. 20, No. 10. pp. 993-999.
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abstract = "Objective: Recent studies have shown an improvement in prostate cancer diagnosis with the use of 3.0-Tesla magnetic resonance imaging. We retrospectively assessed the ability of this imaging technique to predict side-specific extracapsular extension of prostate cancer. Methods: From October 2007 to August 2011, prostatectomy was carried out in 396 patients after preoperative 3.0-Tesla magnetic resonance imaging. Among these, 132 (primary sample) and 134 patients (validation sample) underwent 12-core prostate biopsy at the National Cancer Center Hospital of Tokyo, Japan, and at other institutions, respectively. In the primary dataset, univariate and multivariate analyses were carried out to predict side-specific extracapsular extension using variables determined preoperatively, including 3.0-Tesla magnetic resonance imaging findings (T2-weighted and diffusion-weighted imaging). A prediction model was then constructed and applied to the validation study sample. Results: Multivariate analysis identified four significant independent predictors (P<0.05), including a biopsy Gleason score of ≥8, positive 3.0-Tesla diffusion-weighted magnetic resonance imaging findings, ≥2 positive biopsy cores on each side and a maximum percentage of positive cores ≥31{\%} on each side. The negative predictive value was 93.9{\%} in the combination model with these four predictors, meanwhile the positive predictive value was 33.8{\%}. Good reproducibility of these four significant predictors and the combination model was observed in the validation study sample. Conclusions: The side-specific extracapsular extension prediction by the biopsy Gleason score and factors associated with tumor location, including a positive 3.0-Tesla diffusion-weighted magnetic resonance imaging finding, have a high negative predictive value, but a low positive predictive value.",
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T1 - Ability of preoperative 3.0-Tesla magnetic resonance imaging to predict the absence of side-specific extracapsular extension of prostate cancer

AU - Hara, Tomohiko

AU - Nakanishi, Hiroyuki

AU - Nakagawa, Tohru

AU - Komiyama, Motokiyo

AU - Kawahara, Takashi

AU - Manabe, Tomoko

AU - Miyake, Mototaka

AU - Arai, Eri

AU - Kanai, Yae

AU - Fujimoto, Hiroyuki

PY - 2013/10

Y1 - 2013/10

N2 - Objective: Recent studies have shown an improvement in prostate cancer diagnosis with the use of 3.0-Tesla magnetic resonance imaging. We retrospectively assessed the ability of this imaging technique to predict side-specific extracapsular extension of prostate cancer. Methods: From October 2007 to August 2011, prostatectomy was carried out in 396 patients after preoperative 3.0-Tesla magnetic resonance imaging. Among these, 132 (primary sample) and 134 patients (validation sample) underwent 12-core prostate biopsy at the National Cancer Center Hospital of Tokyo, Japan, and at other institutions, respectively. In the primary dataset, univariate and multivariate analyses were carried out to predict side-specific extracapsular extension using variables determined preoperatively, including 3.0-Tesla magnetic resonance imaging findings (T2-weighted and diffusion-weighted imaging). A prediction model was then constructed and applied to the validation study sample. Results: Multivariate analysis identified four significant independent predictors (P<0.05), including a biopsy Gleason score of ≥8, positive 3.0-Tesla diffusion-weighted magnetic resonance imaging findings, ≥2 positive biopsy cores on each side and a maximum percentage of positive cores ≥31% on each side. The negative predictive value was 93.9% in the combination model with these four predictors, meanwhile the positive predictive value was 33.8%. Good reproducibility of these four significant predictors and the combination model was observed in the validation study sample. Conclusions: The side-specific extracapsular extension prediction by the biopsy Gleason score and factors associated with tumor location, including a positive 3.0-Tesla diffusion-weighted magnetic resonance imaging finding, have a high negative predictive value, but a low positive predictive value.

AB - Objective: Recent studies have shown an improvement in prostate cancer diagnosis with the use of 3.0-Tesla magnetic resonance imaging. We retrospectively assessed the ability of this imaging technique to predict side-specific extracapsular extension of prostate cancer. Methods: From October 2007 to August 2011, prostatectomy was carried out in 396 patients after preoperative 3.0-Tesla magnetic resonance imaging. Among these, 132 (primary sample) and 134 patients (validation sample) underwent 12-core prostate biopsy at the National Cancer Center Hospital of Tokyo, Japan, and at other institutions, respectively. In the primary dataset, univariate and multivariate analyses were carried out to predict side-specific extracapsular extension using variables determined preoperatively, including 3.0-Tesla magnetic resonance imaging findings (T2-weighted and diffusion-weighted imaging). A prediction model was then constructed and applied to the validation study sample. Results: Multivariate analysis identified four significant independent predictors (P<0.05), including a biopsy Gleason score of ≥8, positive 3.0-Tesla diffusion-weighted magnetic resonance imaging findings, ≥2 positive biopsy cores on each side and a maximum percentage of positive cores ≥31% on each side. The negative predictive value was 93.9% in the combination model with these four predictors, meanwhile the positive predictive value was 33.8%. Good reproducibility of these four significant predictors and the combination model was observed in the validation study sample. Conclusions: The side-specific extracapsular extension prediction by the biopsy Gleason score and factors associated with tumor location, including a positive 3.0-Tesla diffusion-weighted magnetic resonance imaging finding, have a high negative predictive value, but a low positive predictive value.

KW - 3.0-Tesla diffusion-weighted magnetic resonance imaging

KW - Capsular invasion

KW - Extracapsular extension

KW - Nerve-sparing radical prostatectomy

KW - Prostate cancer

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