Slow component apparent diffusion coefficient for prostate cancer: Comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging.


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
05 2019
Historique:
received: 12 10 2018
revised: 10 12 2018
accepted: 05 01 2019
pubmed: 11 1 2019
medline: 23 7 2019
entrez: 11 1 2019
Statut: ppublish

Résumé

Dynamic contrast enhancement (DCE)-MRI has high diagnostic performance of prostate cancer. However, it is preferable to avoid the use of MRI contrast media. A study reported that the diagnosability of the wash-in index of DCE-MRI was equivalent to the intravoxel incoherent motion of the diffusion weighted image. The purpose of this study was to examine the correlation between the slow component apparent diffusion coefficient (ADC) and the wash-out index of the DCE. Thirty-eight patients diagnosed with prostate cancer by biopsy were enrolled in this study. The fast and slow component ADCs of the DWI were calculated for 76 points of the tumor and the contralateral normal parts. Furthermore, the wash-in and wash-out indices of the DCE-MRI were calculated. The correlations for each calculated index were compared. There was a significant difference between the tumor and the contralateral normal parts for both fast (p = 0.03) and slow component (p < 0.01) ADCs. In addition, the slow component ADC was correlated with the wash-out index (r = 0.64). The slow component ADC was correlated with the wash-out index, and may, therefore, be a suitable substitute for DCE-MRI.

Identifiants

pubmed: 30630069
pii: S0730-725X(18)30524-1
doi: 10.1016/j.mri.2019.01.003
pii:
doi:

Substances chimiques

Contrast Media 0
Gadolinium AU0V1LM3JT

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

14-17

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Akio Ogura (A)

Graduate School, Gunma Prefectural College of Health Sciences, Japan. Electronic address: a-ogura@gchs.ac.jp.

Fumie Maeda (F)

Department of Radiology, Kyoto City Hospital, Japan.

Seiji Yahata (S)

Department of Radiology, Tokyo Women's Medical University Hospital, Japan.

Daisuke Koyama (D)

Department of Radiology, National Hospital Organization Matsumoto Medical Center, Japan.

Fumiya Tsunoda (F)

Department of Radiology, Japanese Red Cross Asikaga Hospital, Japan.

Norio Hayashi (N)

Graduate School, Gunma Prefectural College of Health Sciences, Japan.

Shunichi Motegi (S)

Department of Radiology, Josai Clinic, Japan.

Kenichiro Yamamura (K)

Department of Radiology, Osaka Medical College Hospital, Japan.

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Classifications MeSH