Retrospective case-control study to predict a potential underlying appendiceal tumor in an acute appendicitis context based on a CT-scoring system.


Journal

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

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 22 09 2020
revised: 26 11 2020
accepted: 02 01 2021
pubmed: 18 1 2021
medline: 15 4 2021
entrez: 17 1 2021
Statut: ppublish

Résumé

To assess CT signs to discriminate an appendiceal tumor versus a non-tumoral appendix in an acute appendicitis context. A 10-year bicentric retrospective case-control study was performed in adults. Patients with a histopathological appendiceal tumor and appendicitis were paired for age and sex with patients with non-tumorous appendicitis (1/3 ratio, respectively). Two senior radiologists blindly analyzed numerous CT findings with final consensus to perform univariate and multivariate statistical analyses. A diagnostic CT scan score was calculated with a bootstrap internal validation. Reproducibility was assessed based on the kappa statistic. A total of 208 patients (51 +/- 21 years; 114 males) were included (52 patients in the tumor group and 156 in the non-tumor group). In the multivariate analysis, an appendicolith and fat stranding were protective factors with OR = 0.2 (p = 0.01) and OR = 0.3 (p = 0.02), respectively, while mural calcifications (OR = 47, p = 0.0001), an appendix mass (OR = 7.1, p = 0.008), a focal asymmetric wall abnormality (OR = 4.9, p = 0, 001), or a ≥ 15 mm diameter (OR = 3.5, p = 0.009) were positive predictive factors of an underlying tumor. Using a ≥1 cut-off, our diagnostic score had an AUC = 0.87 (95 % CI, 0.82-0.93) and a positive likelihood ratio = 13.5 (95 % CI, 6.7-27.1). We developed a reliable scoring system based on CT findings, which is highly predictive of an underlying appendiceal neoplasm in an appendicitis context using a ≥1 cut-off.

Identifiants

pubmed: 33454458
pii: S0720-048X(21)00005-X
doi: 10.1016/j.ejrad.2021.109525
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109525

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

B Monsonis (B)

Department of Medical Imaging, Lapeyronie University Hospital, 371 avenue du Doyen Gaston Giraud, 34295, Montpellier, France.

M Zins (M)

Department of Medical Imaging, Saint Joseph's Hospital, 185 rue Raymond Losserand, 75014, Paris, France.

C Orliac (C)

Department of Medical Imaging, Lapeyronie University Hospital, 371 avenue du Doyen Gaston Giraud, 34295, Montpellier, France.

C Mandoul (C)

Department of Medical Imaging, Lapeyronie University Hospital, 371 avenue du Doyen Gaston Giraud, 34295, Montpellier, France; University of Montpellier, France.

I Boulay-Coletta (I)

Department of Medical Imaging, Saint Joseph's Hospital, 185 rue Raymond Losserand, 75014, Paris, France.

F Curros-Doyon (F)

Department of Medical Imaging, Lapeyronie University Hospital, 371 avenue du Doyen Gaston Giraud, 34295, Montpellier, France.

N Molinari (N)

Department of Statistics, Montpellier University Hospital, 39 Avenue Charles Flahault, 34090, Montpellier, France; University of Montpellier, France.

P Taourel (P)

Department of Medical Imaging, Lapeyronie University Hospital, 371 avenue du Doyen Gaston Giraud, 34295, Montpellier, France; University of Montpellier, France.

I Millet (I)

Department of Medical Imaging, Lapeyronie University Hospital, 371 avenue du Doyen Gaston Giraud, 34295, Montpellier, France; University of Montpellier, France. Electronic address: i-millet@chu-montpellier.fr.

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