Literature DB >> 31570013

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

Zhen Zhang1, Rowan G Bullock2, Herbert Fritsche3.   

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.

Entities:  

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

Mesh:

Substances:

Year:  2019        PMID: 31570013     DOI: 10.2217/fon-2019-0479

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  2 in total

1.  Analytical Validation of a Deep Neural Network Algorithm for the Detection of Ovarian Cancer.

Authors:  Gerard Reilly; Rowan G Bullock; Jessica Greenwood; Daniel R Ure; Erin Stewart; Pierre Davidoff; Justin DeGrazia; Herbert Fritsche; Charles J Dunton; Nitin Bhardwaj; Lesley E Northrop
Journal:  JCO Clin Cancer Inform       Date:  2022-06

2.  A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125.

Authors:  Valentina Chiappa; Matteo Interlenghi; Giorgio Bogani; Christian Salvatore; Francesca Bertolina; Giuseppe Sarpietro; Mauro Signorelli; Dominique Ronzulli; Isabella Castiglioni; Francesco Raspagliesi
Journal:  Eur Radiol Exp       Date:  2021-07-26
  2 in total

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