Literature DB >> 28152258

Utility of computed diffusion-weighted MRI for predicting aggressiveness of prostate cancer.

Yuma Waseda1, Soichiro Yoshida1, Taro Takahara2, Thomas Christian Kwee3, Yoh Matsuoka1, Kazutaka Saito1, Kazunori Kihara1, Yasuhisa Fujii1.   

Abstract

PURPOSE: To investigate the value of computed (c) diffusion-weighted imaging (DWI) in assessing prostate cancer aggressiveness.
MATERIALS AND METHODS: Fifty-five patients with peripheral zone prostate cancer who underwent prebiopsy 1.5T magnetic resonance imaging (including native DWI at b-values of 0 and 1000 s/mm2 ) were included. cDWI signal intensities of peripheral zone prostate cancer and nonmalignant prostate tissue were measured. Association between changes in monoexponentially calculated cDWI signals according to different b-values and primary Gleason grades were assessed.
RESULTS: The cDWI signal intensity of prostate cancer was lower at b = 0 s/mm2 and higher at b = 1000 s/mm2 compared to nonmalignant prostate tissue. The b-value at which the signal intensities of prostate cancer and nonmalignant prostate tissue were equal was defined as the "iso-b-value." On multivariate analysis, only the iso-b-value was a significant predictor of primary Gleason grade 4/5 cancer (P = 0.001). The area under the curve (AUC) of the iso-b-value for diagnosing primary Gleason grade 4/5 cancer was 0.94, and significantly higher than that of the tumor apparent diffusion coefficient (ADC) value with an AUC of 0.68 (P < 0.001).
CONCLUSION: cDWI with iso-b-value-based semiquantitative analysis was found to be useful for predicting the aggressiveness of prostate cancer and may potentially outperform tumor ADC measurements in this setting. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:490-496.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Gleason grading; biomarkers; diffusion magnetic resonance imaging; multimodal imaging; prostatic neoplasms

Mesh:

Substances:

Year:  2017        PMID: 28152258     DOI: 10.1002/jmri.25593

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

1.  Multiparametric MRI Apparent Diffusion Coefficient (ADC) Accuracy in Diagnosing Clinically Significant Prostate Cancer.

Authors:  Pietro Pepe; Davide D'Urso; Antonio Garufi; Giandomenico Priolo; Michele Pennisi; Giorgio Russo; Maria Gabriella Sabini; Lucia Maria Valastro; Antonio Galia; Filippo Fraggetta
Journal:  In Vivo       Date:  2017 May-Jun       Impact factor: 2.155

2.  Efficacy of apparent diffusion coefficient in predicting aggressive histological features of papillary thyroid carcinoma.

Authors:  Bin Song; Hao Wang; Yongqi Chen; Weiyan Liu; Ran Wei; Yi Ding
Journal:  Diagn Interv Radiol       Date:  2018-11       Impact factor: 2.630

3.  Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings.

Authors:  Ahmad Algohary; Satish Viswanath; Rakesh Shiradkar; Soumya Ghose; Shivani Pahwa; Daniel Moses; Ivan Jambor; Ronald Shnier; Maret Böhm; Anne-Maree Haynes; Phillip Brenner; Warick Delprado; James Thompson; Marley Pulbrock; Andrei S Purysko; Sadhna Verma; Lee Ponsky; Phillip Stricker; Anant Madabhushi
Journal:  J Magn Reson Imaging       Date:  2018-02-22       Impact factor: 4.813

Review 4.  Computed Diffusion-Weighted Imaging in Prostate Cancer: Basics, Advantages, Cautions, and Future Prospects.

Authors:  Yoshiko R Ueno; Tsutomu Tamada; Satoru Takahashi; Utaru Tanaka; Keitaro Sofue; Tomonori Kanda; Munenobu Nogami; Yoshiharu Ohno; Nobuyuki Hinata; Masato Fujisawa; Takamichi Murakami
Journal:  Korean J Radiol       Date:  2018-08-06       Impact factor: 3.500

5.  Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging.

Authors:  Koji Yamashita; Akio Hiwatashi; Osamu Togao; Kazufumi Kikuchi; Yamato Shimomiya; Ryotaro Kamei; Daichi Momosaka; Nozomu Matsumoto; Kouji Kobayashi; Atsushi Takemura; Thomas Christian Kwee; Taro Takahara; Hiroshi Honda
Journal:  Magn Reson Med Sci       Date:  2018-12-06       Impact factor: 2.471

  5 in total

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