Literature DB >> 23518144

Do apparent diffusion coefficient (ADC) values obtained using high b-values with a 3-T MRI correlate better than a transrectal ultrasound (TRUS)-guided biopsy with true Gleason scores obtained from radical prostatectomy specimens for patients with prostate cancer?

Kazuhiro Kitajima1, Satoru Takahashi, Yoshiko Ueno, Hideaki Miyake, Masato Fujisawa, Fumi Kawakami, Kazuro Sugimura.   

Abstract

OBJECTIVE: To investigate the usefulness of apparent diffusion coefficient (ADC) values in predicting true Gleason scores from radical prostatectomy specimen (tGS), compared with systematic transrectal ultrasound (TRUS)-guided biopsy GS (bGS).
MATERIALS AND METHODS: One hundred and five patients with biopsy-proven prostate cancer underwent preoperative DWI (b-values of 0, 1000, and 2000s/mm(2)) of 3-T MRI. The mean and minimum ADCs of visible tumors were calculated for either of a pair of b-values: 0 and 1000s/mm(2) (ADC1000), or 0 and 2000s/mm(2) (ADC2000), and relationships between the four ADC parameters and tGS evaluated for the peripheral zone (PZ) and transition zone (TZ). For multiple tumors, the dominant tumor's GS and ADCs were estimated for cancer aggressiveness assessment by computing ROC curves.
RESULTS: Significant negative correlations were observed between tGS and mean ADC1000, mean ADC2000, minimum ADC1000, and minimum ADC2000 (r=-0.41, -0.39, -0.39, and -0.37, respectively) of 100 visible PZ tumors and 66 visible TZ tumors (r=-0.40, -0.42, -0.29, and -0.21, respectively). For distinguishing high-grade from low/intermediate-grade PZ lesions, the areas under the curve (AUCs) of mean ADC1000 (0.751), mean ADC2000 (0.710), minimum ADC1000 (0.768), and minimum ADC2000 (0.752) were similar to that of the highest bGS (0.708) (p=0.61, p=0.98, p=0.47, and p=0.60, respectively). For distinguishing high-grade from low/intermediate-grade TZ lesions, AUCs of mean ADC1000 (0.779), and mean ADC2000 (0.811) were similar to that of the highest bGS (0.805) (p=0.83 and p=0.97).
CONCLUSION: Tumor ADCs obtained with high b-values could predict prostate cancer aggressiveness as effectively as systematic TRUS-guided biopsy.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23518144     DOI: 10.1016/j.ejrad.2013.02.021

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

1.  Apparent diffusion coefficient value as a biomarker reflecting morphological and biological features of prostate cancer.

Authors:  Hyeyeol Bae; Soichiro Yoshida; Yoh Matsuoka; Hiroshi Nakajima; Eisaku Ito; Hiroshi Tanaka; Miyako Oya; Takayuki Nakayama; Hideki Takeshita; Toshiki Kijima; Junichiro Ishioka; Noboru Numao; Fumitaka Koga; Kazutaka Saito; Takumi Akashi; Yasuhisa Fujii; Kazunori Kihara
Journal:  Int Urol Nephrol       Date:  2014-03       Impact factor: 2.370

2.  Incremental value of high b value diffusion-weighted magnetic resonance imaging at 3-T for prediction of extracapsular extension in patients with prostate cancer: preliminary experience.

Authors:  Ayumu Kido; Tsutomu Tamada; Teruki Sone; Naoki Kanomata; Yoshiyuki Miyaji; Akira Yamamoto; Katsuyoshi Ito
Journal:  Radiol Med       Date:  2016-12-09       Impact factor: 3.469

3.  Whole-lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy.

Authors:  Andrew B Rosenkrantz; Michael J Triolo; Jonathan Melamed; Henry Rusinek; Samir S Taneja; Fang-Ming Deng
Journal:  J Magn Reson Imaging       Date:  2014-02-25       Impact factor: 4.813

4.  The diagnostic value of SE MRI and DWI of the spine in patients with monoclonal gammopathy of undetermined significance, smouldering myeloma and multiple myeloma.

Authors:  Julie C Dutoit; Matthias A Vanderkerken; Joris Anthonissen; Frederick Dochy; Koenraad L Verstraete
Journal:  Eur Radiol       Date:  2014-08-09       Impact factor: 5.315

Review 5.  Diffusion-weighted magnetic resonance imaging in management of bladder cancer, particularly with multimodal bladder-sparing strategy.

Authors:  Soichiro Yoshida; Fumitaka Koga; Shuichiro Kobayashi; Hiroshi Tanaka; Shiro Satoh; Yasuhisa Fujii; Kazunori Kihara
Journal:  World J Radiol       Date:  2014-06-28

Review 6.  The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective.

Authors:  Robert H Press; Hui-Kuo G Shu; Hyunsuk Shim; James M Mountz; Brenda F Kurland; Richard L Wahl; Ella F Jones; Nola M Hylton; Elizabeth R Gerstner; Robert J Nordstrom; Lori Henderson; Karen A Kurdziel; Bhadrasain Vikram; Michael A Jacobs; Matthias Holdhoff; Edward Taylor; David A Jaffray; Lawrence H Schwartz; David A Mankoff; Paul E Kinahan; Hannah M Linden; Philippe Lambin; Thomas J Dilling; Daniel L Rubin; Lubomir Hadjiiski; John M Buatti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-06-30       Impact factor: 7.038

Review 7.  Modern imaging and image-guided treatments of the prostate gland: MR and ablation for cancer and prostatic artery embolization for benign prostatic hyperplasia.

Authors:  João Lopes Dias; Tiago Bilhim
Journal:  BJR Open       Date:  2019-08-14

8.  Combined PET imaging and diffusion-weighted imaging of intermediate and high-risk primary prostate carcinomas with simultaneous [18F] choline PET/MRI.

Authors:  Axel Wetter; Felix Nensa; Marcus Schenck; Philipp Heusch; Thorsten Pöppel; Andreas Bockisch; Michael Forsting; Thomas W Schlosser; Thomas C Lauenstein; James Nagarajah
Journal:  PLoS One       Date:  2014-07-17       Impact factor: 3.240

9.  Diffusion-weighted MRI for detecting prostate tumour in men at increased genetic risk.

Authors:  Nandita M deSouza; Veronica A Morgan; Elizabeth Bancroft; S Aslam Sohaib; Sharon L Giles; Zsofia Kote-Jarai; Elena Castro; Steven Hazell; Maysam Jafar; Rosalind Eeles
Journal:  Eur J Radiol Open       Date:  2014

10.  Combining the Tumor Contact Length and Apparent Diffusion Coefficient Better Predicts Extraprostatic Extension of Prostate Cancer with Capsular Abutment: A 3 Tesla MR Imaging Study.

Authors:  Koichi Ito; Emiko Chiba; Noriko Oyama-Manabe; Satoshi Washino; Osamu Manabe; Tomoaki Miyagawa; Kohei Hamamoto; Masahiro Hiruta; Keisuke Tanno; Hiroshi Shinmoto
Journal:  Magn Reson Med Sci       Date:  2021-05-20       Impact factor: 2.760

  10 in total

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