Published April 2021 | Version v1
Journal article Metadata-only

Diagnostic value of computed high b-value whole‐body diffusion-weighted imaging for primary prostate cancer

Creators

  • 1. Department of Radiology, Advanced Imaging Center Yaesu Clinic, 2-1-18, Nihonbashi, Chuo-ku, Tokyo, 103-0027 (Japan)
  • 2. Department of Radiology, Keio University School of Medicine, 35, Shinanomachi, Shinjuku-ku, Tokyo, 160-8582 (Japan)
  • 3. Department of Urology, Tokyo Medical and Dental University Graduate School, 1-5-45, Yushima, Bunkyo-ku, Tokyo, 113-8519 (Japan)
  • 4. Department of Biomedical Engineering, Tokai University School of Engineering, 143, Shimokasuya, Isehara, Kanagawa, 259-1193 (Japan)

Description

Highlights: • Computed DWI is a post-processing technique without additional acquisition time. • Computed DWI can be implemented in whole-body MRI protocols for prostate cancer. • Computed WB-DWI has good diagnostic performance for primary prostate cancer. To investigate the utility of post-acquisition computed diffusion-weighted imaging (cDWI) for primary prostate cancer (PCa) evaluation in biparametric whole‐body MRI (bpWB-MRI).

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ejrad.2021.109581

Additional details

Identifiers

DOI
10.1016/j.ejrad.2021.109581;
PII
S0720048X21000619;

Publishing Information

Journal Title
European Journal of Radiology
Journal Volume
137
Journal Page Range
vp.
ISSN
0720-048X
CODEN
EJRADR

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53110529
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ANALOG-TO-DIGITAL CONVERTERS; DIAGNOSIS; ELECTRIC UTILITIES; EVALUATION; NEOPLASMS; NMR IMAGING; POSITRON COMPUTED TOMOGRAPHY; PROSTATE
Descriptors DEC
BODY; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; DISEASES; ELECTRONIC EQUIPMENT; EMISSION COMPUTED TOMOGRAPHY; EQUIPMENT; GLANDS; MALE GENITALS; ORGANS; PUBLIC UTILITIES; TOMOGRAPHY

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.