European Radiology

, Volume 23, Issue 12, pp 3509–3516 | Cite as

Computed diffusion-weighted imaging using 3-T magnetic resonance imaging for prostate cancer diagnosis

  • Yoshiko Ueno
  • Satoru Takahashi
  • Kazuhiro Kitajima
  • Tokunori Kimura
  • Ikuo Aoki
  • Fumi Kawakami
  • Hideaki Miyake
  • Yoshiharu Ohno
  • Kazuro Sugimura
Urogenital

Abstract

Objective

To assess the efficacy of computed diffusion-weighted images (cDWIs) of b = 2000 s/mm2 (cDWI2000) generated from DWIs of b = 0 and 1000 for prostate cancer (PCa) diagnosis in comparison with that of measured original DWIs of b = 1000 (mDWI1000) and b = 2000(mDWI2000) using 3-T MRI.

Methods

Eighty patients who underwent a preoperative MRI examination, including T2WI and DWI (b = 0, 1000, 2000 s/mm2), were enrolled in this study. Four combinations of images, protocol A (T2WI alone), B (T2WI + mDWI1000), C (T2WI + mDWI2000) and D (T2WI + cDWI2000), were assessed for their diagnostic capability. Areas under the receiver operating characteristic curve (Az) and diagnostic performance were evaluated, as well as contrast ratios (CR) between cancerous and non-cancerous lesions for each DWI.

Results

The highest CR was obtained with cDWI2000 (0.29 ± 0.16). Sensitivity, specificity, accuracy, and Az of the protocols were: A: 66.3 %, 59.4 %, 63.0 %, 0.67; B: 82.6 %, 62.0 %, 72.5 %, 0.80; C: 84.1 %, 66.5 %, 75.5 %, 0.86; D: 83.2 %, 70.0 %, 76.6 %, and 0.84, respectively The specificities and accuracies of protocol C and D were significantly higher than those of protocol B (P < 0.05).

Conclusion

cDWI2000 appears to be more effective than mDWI1000, and at least as effective as mDWI2000 for PCa diagnosis.

Key Points

• Computed diffusion-weighted MRI with over b1000s/mm2is useful for prostate cancer detection.

• Computed DWI produces any b-value images with two different b-value images.

• DWI with computed b2000s/mm2is as valuable as DWI with measured b2000 s/mm2.

Keywords

Prostate cancer Computed diffusion-weighted imaging High b-value MRI Diagnosis 

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Copyright information

© European Society of Radiology 2013

Authors and Affiliations

  • Yoshiko Ueno
    • 1
  • Satoru Takahashi
    • 1
  • Kazuhiro Kitajima
    • 1
  • Tokunori Kimura
    • 4
  • Ikuo Aoki
    • 4
  • Fumi Kawakami
    • 2
  • Hideaki Miyake
    • 3
  • Yoshiharu Ohno
    • 1
    • 5
  • Kazuro Sugimura
    • 1
  1. 1.Department of RadiologyKobe University Graduate School of MedicineKobeJapan
  2. 2.Department of PathologyKobe University Graduate School of MedicineKobeJapan
  3. 3.Department of UrologyKobe University Graduate School of MedicineKobeJapan
  4. 4.Toshiba Medical Systems Corp.OtawaraJapan
  5. 5.Advanced Biomedical Imaging ResearchKobe University Graduate School of MedicineKobeJapan

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