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Magnetic Resonance Imaging Features of Endometrial Polyps: Frequency of Occurrence and Interobserver Reliability.
Balcacer, Patricia; Cooper, Kirsten A; Huber, Steffen; Spektor, Michael; Pahade, Jay K; Israel, Gary M.
Afiliação
  • Balcacer P; From the Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT.
J Comput Assist Tomogr ; 42(5): 721-726, 2018.
Article em En | MEDLINE | ID: mdl-29901509
ABSTRACT

OBJECTIVE:

This study aimed to evaluate magnetic resonance imaging (MRI) features and interobserver agreement of endometrial polyps.

METHODS:

After institutional review board approval, our database was searched for women older than 18 years who underwent MRI pelvis and pelvic surgical intervention from 2012 to 2016. Seventy-two patients with polyps and 75 controls composed the study cohort. Two radiologists evaluated the MRIs retrospectively for polyps. Polyp characteristics and enhancement were assessed.

RESULTS:

Sensitivity and specificity of readers 1 and 2 were 59.7% and 88.0%, and 44.4 and 96.0%, respectively. There was moderate agreement for presence of polyps (κ = 0.556, P ≤ 0001), T2 fibrous core, and intratumoral cysts, with slight agreement for T2 signal and enhancement. Polyp size moderately correlated with pathology (κ = 0.465 [P = 0.025] for reader 1, κ = 0.562 [P = 0.029] for reader 2). The most common enhancement was same as myometrium.

CONCLUSION:

Magnetic resonance imaging is moderately sensitive for detecting endometrial polyps, demonstrating features that are not sensitive but can be specific, with moderate interobserver agreement.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pólipos / Imageamento por Ressonância Magnética / Neoplasias do Endométrio Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Comput Assist Tomogr Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pólipos / Imageamento por Ressonância Magnética / Neoplasias do Endométrio Tipo de estudo: Diagnostic_studies Limite: Female / Humans / Middle aged Idioma: En Revista: J Comput Assist Tomogr Ano de publicação: 2018 Tipo de documento: Article