Progress in the application of dual-energy CT in pancreatic diseases.


Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 01 07 2023
revised: 19 08 2023
accepted: 06 09 2023
medline: 30 10 2023
pubmed: 25 9 2023
entrez: 24 9 2023
Statut: ppublish

Résumé

Pancreatic diseases are difficult to diagnose due to their insidious onset and complex pathophysiological developmental characteristics. In recent years, dual-energy computed tomography (DECT) imaging technology has rapidly advanced. DECT can quantitatively extract and analyze medical imaging features and establish a correlation between these features and clinical results. This feature enables the adoption of more modern and accurate clinical diagnosis and treatment strategies for patients with pancreatic diseases so as to achieve the goal of non-invasive, low-cost, and personalized treatment. The purpose of this review is to elaborate on the application of DECT for the diagnosis, biological characterization, and prediction of the survival of patients with pancreatic diseases (including pancreatitis, pancreatic cancer, pancreatic cystic tumor, pancreatic neuroendocrine tumor, and pancreatic injury) and to summarize its current limitations and future research prospects.

Identifiants

pubmed: 37742372
pii: S0720-048X(23)00404-7
doi: 10.1016/j.ejrad.2023.111090
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

111090

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sha Wang (S)

The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.

Yanli Zhang (Y)

The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China; Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou 730000, China.

Yongsheng Xu (Y)

The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China; Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou 730000, China.

Pengcheng Yang (P)

Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China.

Chuncui Liu (C)

The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.

Hengxin Gong (H)

The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.

Junqiang Lei (J)

The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, The First Hospital of Lanzhou University, Lanzhou 730000, China; Radiological Clinical Medicine Research Center of Gansu Province, Lanzhou 730000, China. Electronic address: leijq2011@126.com.

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Classifications MeSH