Adnexal mass risk assessment: a multivariate index assay for malignancy risk stratification

Future Oncol. 2019 Nov;15(33):3783-3795. doi: 10.2217/fon-2019-0479. Epub 2019 Oct 1.

Abstract

Aims: Adnexal mass risk assessment (AMRA) stratifies patients with adnexal masses, identifying the relatively small number of malignancies from benigns which might take a 'watchful waiting' approach. Methods: AMRA uses seven biomarkers and derived from women with adnexal masses scheduled for surgery. Estimated clinical performance was calculated using fixed prevalence. Results: At 5% prevalence, the high-risk group, 7.9% total, captured 75.9% of invasive malignancies at a positive predictive value of 35.8%. High risk/intermediate risk combined had a sensitivity of 89.7 and 95.6% for pre- and post-menopausal cancers, respectively. The low-risk group, 67.8% total, had an negative predictive value of 99.0%. Conclusion: With highly differentiating risk stratification capability across histological subtypes and stages, AMRA is potentially applicable to patients with adnexal masses to assist deciding whether immediate surgery is recommended.

Keywords: adnexal mass; multivariate index assay; ovarian cancer; watch and wait.

MeSH terms

  • Adnexa Uteri / diagnostic imaging
  • Adnexa Uteri / pathology*
  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Biomarkers, Tumor / blood*
  • Feasibility Studies
  • Female
  • Humans
  • Middle Aged
  • Models, Biological*
  • Ovarian Neoplasms / blood
  • Ovarian Neoplasms / epidemiology*
  • Ovarian Neoplasms / pathology
  • Predictive Value of Tests
  • Prevalence
  • Prospective Studies
  • Risk Assessment / methods
  • Sensitivity and Specificity
  • United States / epidemiology
  • Young Adult

Substances

  • Biomarkers, Tumor