Loading…

Clinical implementation of contrast-enhanced four-dimensional dual-energy computed tomography for target delineation of pancreatic cancer

The accurate delineation of pancreatic tumor with respiratory motion is challenging. This study demonstrates the application of contrast-enhanced four-dimensional dual-energy computed tomography (CE-4D-DECT) for tumor delineation and assesses the objective and subjective image quality. Twelve patien...

Full description

Saved in:
Bibliographic Details
Published in:Radiotherapy and oncology 2018-10, Vol.129 (1), p.105-111
Main Authors: Ohira, Shingo, Wada, Kentaro, Hirata, Takero, Kanayama, Naoyuki, Ikawa, Toshiki, Karino, Tsukasa, Nitta, Yuya, Isono, Masaru, Ueda, Yoshihiro, Miyazaki, Masayoshi, Koizumi, Masahiko, Teshima, Teruki
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The accurate delineation of pancreatic tumor with respiratory motion is challenging. This study demonstrates the application of contrast-enhanced four-dimensional dual-energy computed tomography (CE-4D-DECT) for tumor delineation and assesses the objective and subjective image quality. Twelve patients underwent CE-4D-DECT, and quantitative spectral analysis was performed on the resulting virtual monochromatic images (VMI) to determine the optimal VMI (O-VMI) with the highest contrast-to-noise ratio (CNR). The objective value of the CNR between pancreatic parenchyma and tumor, and the subjective measurement with five-point scale were compared between O-VMI, standard VMI (S-VMI, 77 keV) and single energy CT (SECT, 120 kVp). The CNR was the highest in the VMI at 60 keV, and the corresponding CNR in the O-VMI (3.4) was significantly higher (p 
ISSN:0167-8140
1879-0887
DOI:10.1016/j.radonc.2018.01.012