Computed Tomography Angiography findings can predict massive bleeding in head and neck tumours.


Journal

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

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 15 10 2019
revised: 30 01 2020
accepted: 16 02 2020
pubmed: 1 3 2020
medline: 29 10 2020
entrez: 1 3 2020
Statut: ppublish

Résumé

The aim of our study was to assess CT angiography findings of head and neck tumours in predicting carotid blow out syndrome (CBS). We retrospectively reviewed the records of patients with head and neck cancer who underwent invasive angiography for CBS at our Institution from July 2013-2019. All routine CT angiography scans were assessed for the following findings with a univariate logistic regression analysis: 1) 360 ° involvement of the suspect artery by the tumour; 2) tissue or tumour necrosis, which was defined as an hypodense area with lack of contrast enhancement in the soft tissues of the neck or tumour mass, adjacent to the suspected vessel; 3) calibre reduction of the culprit artery; 5) jugular vein infiltration. T stage was also included in the analysis. A total of 24 patients who underwent routine CT angiogram neck and embolization for CBS were included in this study. Univariate logistic regression showed as 360 ° involvement of target vessel may significantly increase the risk of bleeding (OR 11.6, CI: 1.4-91.5; p = 0.01), along with T stage (OR 14.0, p = 0.03). Tumour necrosis and calibre vessel reduction were quite influential, but not significantly (i.e. tumour necrosis OR 5.0 95 % CI: 0.8-31.0, p = 0.08). Contingency table analysis found 360 ° vessel involvement with the highest sensitivity and PPV in predicting bleeding (87.5 % and 82.35 %, respectively). CT angiography imaging findings have the potential to identify patients with head and neck cancer at higher risk of bleeding.

Identifiants

pubmed: 32113152
pii: S0720-048X(20)30099-1
doi: 10.1016/j.ejrad.2020.108910
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108910

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Alessandro Cannavale (A)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy. Electronic address: alessandro.cannavale@hotmail.com.

Mario Corona (M)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy.

Piergiorgio Nardis (P)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy.

Gianluca De Rubeis (G)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy.

Giuseppe Cannavale (G)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy; Department of Radiological Sciences, "Sapienza" University of Rome, Rome, Italy.

Mariangela Santoni (M)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy; Department of Radiological Sciences, "Sapienza" University of Rome, Rome, Italy.

Simone Zilahi De Gyurgyokai (SZ)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy.

Carlo Catalano (C)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy; Department of Radiological Sciences, "Sapienza" University of Rome, Rome, Italy.

Mario Bezzi (M)

Vascular and Interventional Unit, Department of Radiological Sciences, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy.

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