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01.12.2013 | Urogenital

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

verfasst von: Yoshiko Ueno, Satoru Takahashi, Kazuhiro Kitajima, Tokunori Kimura, Ikuo Aoki, Fumi Kawakami, Hideaki Miyake, Yoshiharu Ohno, Kazuro Sugimura

Erschienen in: European Radiology | Ausgabe 12/2013

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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/mm ² is useful for prostate cancer detection.

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

• DWI with computed b2000s/mm ² is as valuable as DWI with measured b2000 s/mm ² .

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Titel: Computed diffusion-weighted imaging using 3-T magnetic resonance imaging for prostate cancer diagnosis
verfasst von: Yoshiko Ueno
Satoru Takahashi
Kazuhiro Kitajima
Tokunori Kimura
Ikuo Aoki
Fumi Kawakami
Hideaki Miyake
Yoshiharu Ohno
Kazuro Sugimura
Publikationsdatum: 01.12.2013
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 12/2013
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-013-2958-z

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