Published March 2021 | Version v1
Journal article

Multiparametric dual-energy CT for distinguishing nasopharyngeal carcinoma from nasopharyngeal lymphoma

  • 1. Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, No. 181 Hanyu Road, Shapingba District, Chongqing, 400030 (China)
  • 2. Department of Oncology and Hematology, Chongqing General Hospital, No. 104 Pipashan Street, Yuzhong District, Chongqing, 400014 (China)

Description

Highlights: • 40 keV VMI (+) yielded the optimal image quality for visualization of NPC and NPL. • Quantitative parameters derived from DECT could differentiate NPC from NPL. • Combined DECT quantitative parameters improved the diagnostic performance. To determine the optimal kiloelectron volt of noise-optimized virtual monoenergetic images [VMI (+)] for visualization of nasopharyngeal carcinoma (NPC) and nasopharyngeal lymphoma (NPL), and to explore the clinical value of quantitative parameters derived from dual-energy computed tomography (DECT) for distinguishing the two entities.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ejrad.2021.109532

Additional details

Identifiers

DOI
10.1016/j.ejrad.2021.109532;
PII
S0720048X21000127;

Publishing Information

Journal Title
European Journal of Radiology
Journal Volume
136
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
54001505
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
CARCINOMAS; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; IMAGES; KEV RANGE; LYMPHOMAS; PERFORMANCE
Descriptors DEC
DIAGNOSTIC TECHNIQUES; DISEASES; ENERGY RANGE; IMMUNE SYSTEM DISEASES; NEOPLASMS; TOMOGRAPHY

Optional Information

Copyright
Copyright (c) 2021 Published by Elsevier B.V.