Ovarian Cancer Surgical Consideration Is Markedly Improved by the Neural Network Powered-MIA3G Multivariate Index Assay
Highlights how the neural network-powered MIA3G multivariate index assay could significantly enhance surgical decision-making for ovarian cancer.
Read MoreNeural Network-Derived Multivariate Index Assay Demonstrates Effective Clinical Performance in Longitudinal Monitoring of Ovarian Cancer Risk
Details the clinical performance of a neural network-derived multivariate index assay in the ongoing monitoring of ovarian cancer risk.
Read MoreImproving the Diagnostic Accuracy of an Ovarian Cancer Triage Test Using a Joint miRNA-Protein Model
Study on enhancing the diagnostic accuracy of ovarian cancer triage tests through a combined miRNA-protein model.
Read MoreA reflex testing protocol using two multivariate index assays improves the risk assessment for ovarian cancer in patients with an adnexal mass
Reflexing samples with intermediate OVA1 scores significantly decreases the false-positive rate, thereby reducing unnecessary specialty referrals.
Read MoreAnalytical Validation of a Deep Neural Network Algorithm for the Detection of Ovarian Cancer
The paper validates the use of a deep neural network algorithm, OvaWatch(R), in detecting ovarian cancer risk.
Read MoreClinical Performance of a Multivariate Index Assay in Detecting Early-Stage Ovarian Cancer in Filipino Women
Study demonstrates the high clinical performance of a multivariate index assay in detecting early-stage ovarian cancer in Filipino women, highlighting its potential as a valuable risk assessment tool for this population.
Read MoreLow-Risk Multivariate Index Assay Scores, Physician Referral and Surgical Choices in Women with Adnexal Masses
Use of Ova1 drove referrals of malignant adnexal masses to Gyn/Oncs which is associated with improved cancer outcomes and overall survival. This practice is safe and may be cost-saving, with patient satisfaction implications.
Read MoreEconomic Impact of Increased Utilization of Multivariate Assay Testing to Guide the Treatment of Ovarian Cancer: Implications for Payers
The results of the budget impact model support the use of OVA1 instead of CA125 by indicating that modest cost-savings can be achieved, while reaping the clinical benefits of improved diagnostic accuracy, early disease detection, and reductions in multiple, and possibly unnecessary, referrals to gynecologic oncologists
Read MoreThe Clinical Utility of an Elevated-Risk Multivariate Index Assay Score in Ovarian Cancer Patients
The publication investigates the clinical utility of elevated-risk scores from a multivariate index assay in the management of ovarian cancer patients.
Read MoreValidation of a Second-Generation Multivariate Index Assay for Malignancy Risk of Adnexal Masses
This paper presents the validation of a second-generation multivariate index assay for assessing malignancy risk in adnexal masses.
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