Incidental findings on brain MRI in a cohort of diabetic patients.


Journal

Journal of neuroradiology = Journal de neuroradiologie
ISSN: 0150-9861
Titre abrégé: J Neuroradiol
Pays: France
ID NLM: 7705086

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 17 03 2018
revised: 24 06 2018
accepted: 26 07 2018
pubmed: 12 8 2018
medline: 8 5 2021
entrez: 12 8 2018
Statut: ppublish

Résumé

To study the frequency and management of incidental findings in nonenhanced brain MRI of a middle-aged population of type 2 diabetic patients. We retrospectively analyzed the results of 289 brain MRI obtained from subjects between 40-75 years recruited from a previous study. Incidental findings were classified into three categories: (1) Vascular findings; (2) neoplastic findings; and (3) others. On the other side, we made a classification of referral findings. To compare our results, we reviewed the prevalence and evidence about management of both incidental and referral findings in other series. We found an overall prevalence of incidental findings of 10.4% (30/289). Incidental findings raised according to age. The most common incidental findings were: 7 vascular (2.4%), 6 calcifications (2.1%), 6 cystic (2.1%) and 5 neoplastic (1.7%) lesions. A percentage of 1.7% (5/289) were referral findings which required further clinical work-up. Incidental findings are relatively common in patients with type 2 diabetes. The most frequent are vascular findings, accordance with previous studies. Referral findings are uncommon. Clinical evidence about how to best manage the majority of incidental findings is lacking.

Identifiants

pubmed: 30098369
pii: S0150-9861(18)30138-X
doi: 10.1016/j.neurad.2018.07.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

343-348

Informations de copyright

Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Auteurs

D Vázquez-Justes (D)

Department of neurology, universitat de Lleida, hospital Universitari Arnau de Vilanova Lleida, Clinical Neurosciences Group IRB, Lleida, Spain. Electronic address: danivazkez@gmail.com.

J Sanahuja (J)

Department of neurology, universitat de Lleida, hospital Universitari Arnau de Vilanova Lleida, Clinical Neurosciences Group IRB, Lleida, Spain. Electronic address: jsanahuja.lleida.ics@gencat.cat.

J Diez (J)

Institut de diagnòstic per la imatge, hospital Universitari Arnau de Vilanova, Lleida, Spain. Electronic address: javier.diez@idi.gencat.cat.

E Rubinat (E)

Faculty of nursing and physiotherapy, university of Lleida, GRECS Research Group of Biomedical Research Institute of Lleida, university of Lleida IRB, Lleida, Spain; CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), instituto de Salud Carlos III, Madrid, Spain. Electronic address: rubinatesther@gmail.com.

R Begué (R)

Institut de diagnòstic per la imatge, hospital Universitari Arnau de Vilanova, Lleida, Spain. Electronic address: robert.begue@idi.gencat.cat.

C Salas (C)

Institut de diagnòstic per la imatge, hospital Universitari Arnau de Vilanova, Lleida, Spain. Electronic address: carmen.salas@idi.gencat.cat.

C Vicandi (C)

Institut de diagnòstic per la imatge, hospital Universitari Arnau de Vilanova, Lleida, Spain. Electronic address: cristina.vicandi@idi.gencat.cat.

M I Gil (MI)

Institut de diagnòstic per la imatge, hospital Universitari Arnau de Vilanova, Lleida, Spain. Electronic address: mabel.gil@idi.gencat.cat.

F Purroy (F)

Department of neurology, universitat de Lleida, hospital Universitari Arnau de Vilanova Lleida, Clinical Neurosciences Group IRB, Lleida, Spain. Electronic address: fpurroygarcia@gmail.com.

D Mauricio (D)

CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), instituto de Salud Carlos III, Madrid, Spain; Department of endocrinology & nutrition, hospital de la Santa Creu i Sant Pau, Barcelona, Spain. Electronic address: didacmauricio@gmail.com.

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Classifications MeSH