Your browser doesn't support javascript.
loading
ReClassification of Patients with Ambiguous CA125 for Optimised Pre-Surgical Triage.
Stephens, Andrew N; Hobbs, Simon J; Kang, Sung-Woog; Oehler, Martin K; Jobling, Tom W; Allman, Richard.
Afiliação
  • Stephens AN; Hudson Institute of Medical Research, Clayton 3168, Australia.
  • Hobbs SJ; Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia.
  • Kang SW; Cleo Diagnostics Ltd., Melbourne 3000, Australia.
  • Oehler MK; Cleo Diagnostics Ltd., Melbourne 3000, Australia.
  • Jobling TW; Hudson Institute of Medical Research, Clayton 3168, Australia.
  • Allman R; Department of Molecular and Translational Sciences, Monash University, Clayton 3168, Australia.
Diagnostics (Basel) ; 14(7)2024 Mar 22.
Article em En | MEDLINE | ID: mdl-38611584
ABSTRACT
Pre-surgical clinical assessment of an adnexal mass is a complex process, and ideally requires accurate and rapid identification of disease status. Gold standard biomarker CA125 is extensively used off-label for this purpose; however its performance is typically inadequate, particularly for the detection of early stage disease and discrimination between benign versus malignant status. We recently described a multi-marker panel (MMP) and associated risk index for the differentiation of benign from malignant ovarian disease. In this study we applied a net reclassification approach to assess the use of MMP index to rescue those cases where low CA125 incorrectly excludes cancer diagnoses, or where benign disease is incorrectly assessed as "high risk" due to elevated CA125. Reclassification of such patients is of significant value to assist in the timely and accurate referral for patients where CA125 titer is uninformative.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália