Your browser doesn't support javascript.
loading
Editorial Commentary: Evaluation for Cartilage Lesions on Magnetic Resonance Imaging Continues to Improve: Artificial Intelligence Applications May Result in Higher Sensitivity and Specificity.
Dekker, Maj Travis J; Aman, Zachary S.
Afiliação
  • Dekker MTJ; Duke University Hospital (Z.S.A.).
  • Aman ZS; Duke University Hospital (Z.S.A.).
Arthroscopy ; 40(11): 2774-2775, 2024 Nov.
Article em En | MEDLINE | ID: mdl-38490500
ABSTRACT
Accurate detection of cartilage lesions of the knee is required to offer patient-specific care and can alter surgical intervention options. To date, diagnostic arthroscopy remains the gold standard yet often requires the need for staged operative procedure for treatment. Magnetic resonance imaging (MRI) is the most accurate imaging modality with high specificity, yet even with recent advances, MRI has limited specificity. Newer scanners (3T) and updated scanning sequences (3-dimensional MRI and quantitative MRI) are most sensitive in characterizing cartilage lesions of the knee, but these resources are not available to all users. Promising new avenues for patient-specific MRI scans along with the utilization of artificial intelligence will more accurately identify and quantify lesion size, location, and depth.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imageamento por Ressonância Magnética / Cartilagem Articular / Sensibilidade e Especificidade Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imageamento por Ressonância Magnética / Cartilagem Articular / Sensibilidade e Especificidade Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article