Literature DB >> 18007156

Value of diffusion-weighted imaging for the prediction of prostate cancer location at 3T using a phased-array coil: preliminary results.

Chan Kyo Kim1, Byung Kwan Park, Hyun Moo Lee, Ghee Young Kwon.   

Abstract

OBJECTIVES: To retrospectively evaluate the imaging quality of diffusion-weighted imaging (DWI), compare the apparent diffusion coefficient (ADC) values for malignant and benign tissues in the peripheral zone (PZ) and transition zone (TZ), and evaluate whether T2-weighted imaging (T2WI) with DWI could improve the prediction of prostate cancer location when compared with T2WI at 3T using a phased-array coil.
MATERIALS AND METHODS: Thirty-seven patients underwent T2WI and DWI before radical prostatectomy. The DWI technique with b = 0 and b = 1000 s/mm2 was used. ADC values were measured in benign and malignant tissues in the PZ or TZ. The prediction of prostate cancer location was evaluated in the PZ and TZ using T2WI and T2WI with DWI, respectively. Two readers in consensus recorded the presence of prostate cancer at magnetic resonance imaging and rated the imaging quality of DWI.
RESULTS: For the prediction of 68 prostate tumors, the overall sensitivity and positive predictive value of T2WI with DWI were 84% and 86%, whereas those of T2WI were 66% and 63%, respectively (P < 0.05). The mean ADC values of malignant and benign tissues in the PZ and TZ were 1.30 +/- 0.26 and 1.96 +/- 0.20, and 1.35 +/- 0.24 and 1.75 +/- 0.23 x 10(-3)mm2/s, respectively (P < 0.01). The overall imaging quality was satisfactory or better in 97% of patients.
CONCLUSION: DWI is a feasible technique that can be used for the differentiation of malignant and benign tissues in the PZ and TZ. Additionally, T2WI with DWI is superior to T2WI alone for the prediction of prostate cancer location.

Entities:  

Mesh:

Year:  2007        PMID: 18007156     DOI: 10.1097/RLI.0b013e3181461d21

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  49 in total

1.  Ultra-high-b-value diffusion-weighted MR imaging for the detection of prostate cancer: evaluation in 201 cases with histopathological correlation.

Authors:  Kazuhiro Katahira; Taro Takahara; Thomas C Kwee; Seitaro Oda; Yasuko Suzuki; Shoji Morishita; Kosuke Kitani; Yasuyuki Hamada; Mitsuhiko Kitaoka; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2010-07-18       Impact factor: 5.315

2.  Prediction of biochemical recurrence following radical prostatectomy in men with prostate cancer by diffusion-weighted magnetic resonance imaging: initial results.

Authors:  Sung Yoon Park; Chan Kyo Kim; Byung Kwan Park; Hyun Moo Lee; Kyung Soo Lee
Journal:  Eur Radiol       Date:  2010-11-03       Impact factor: 5.315

Review 3.  Advances in prostate cancer imaging techniques and strategies.

Authors:  Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-05       Impact factor: 9.236

4.  Diffusion tensor imaging of normal prostate at 3 T: effect of number of diffusion-encoding directions on quantitation and image quality.

Authors:  C K Kim; S M Jang; B K Park
Journal:  Br J Radiol       Date:  2011-09-06       Impact factor: 3.039

5.  The role of magnetic resonance imaging (MRI) in focal therapy for prostate cancer: recommendations from a consensus panel.

Authors:  Berrend G Muller; Jurgen J Fütterer; Rajan T Gupta; Aaron Katz; Alexander Kirkham; John Kurhanewicz; Judd W Moul; Peter A Pinto; Ardeshir R Rastinehad; Cary Robertson; Jean de la Rosette; Rafael Sanchez-Salas; J Stephen Jones; Osamu Ukimura; Sadhna Verma; Hessel Wijkstra; Michael Marberger
Journal:  BJU Int       Date:  2013-11-13       Impact factor: 5.588

6.  Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention.

Authors:  John A Onofrey; Lawrence H Staib; Saradwata Sarkar; Rajesh Venkataraman; Cayce B Nawaf; Preston C Sprenkle; Xenophon Papademetris
Journal:  Med Image Anal       Date:  2017-04-12       Impact factor: 8.545

Review 7.  New horizons in prostate cancer imaging.

Authors:  Gregory Ravizzini; Baris Turkbey; Karen Kurdziel; Peter L Choyke
Journal:  Eur J Radiol       Date:  2008-11-07       Impact factor: 3.528

Review 8.  Diffusion-weighted imaging with apparent diffusion coefficient mapping and spectroscopy in prostate cancer.

Authors:  Michael A Jacobs; Ronald Ouwerkerk; Kyle Petrowski; Katarzyna J Macura
Journal:  Top Magn Reson Imaging       Date:  2008-12

Review 9.  DW-MRI of the urogenital tract: applications in oncology.

Authors:  G Petralia; H C Thoeny
Journal:  Cancer Imaging       Date:  2010-10-04       Impact factor: 3.909

Review 10.  Multidisciplinary functional MR imaging for prostate cancer.

Authors:  Jeong Kon Kim; Yun-Jin Jang; Gyunggoo Cho
Journal:  Korean J Radiol       Date:  2009 Nov-Dec       Impact factor: 3.500

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.