Literature DB >> 25449569

Combining clinical assessment and the Risk of Ovarian Malignancy Algorithm for the prediction of ovarian cancer.

Richard G Moore1, Douglas M Hawkins2, M Craig Miller3, Lisa M Landrum4, Walter Gajewski5, John J Ball6, W Jeffery Allard7, Steven J Skates8.   

Abstract

OBJECTIVES: ACOG guidelines for the evaluation of women with a pelvic mass employ a combination of physical exam, imaging, and CA125 to guide physicians in the triage of women to gynecologic oncologists. We studied the use of ROMA with clinical assessment for cancer risk assessment in women with a pelvic mass.
METHODS: This was a prospective, multicenter trial evaluating women with a pelvic mass who had an initial clinical risk assessment (ICRA) performed by a generalist. ROMA scores were calculated and sensitivity, specificity, PPV and NPV were determined for ICRA and ICRA+ROMA.
RESULTS: A total of 461 women were entered into the study. There were 375 benign tumors, 48 EOC, 18 LMP tumors and 20 non-ovarian malignancies. For detection of ovarian cancer alone, ICRA had a sensitivity of 85.4%, a specificity of 84.3%, and a NPV of 97.8%. Adding ROMA to ICRA produced a significant improvement of 8.4% in sensitivity, achieving a sensitivity of 93.8% with a specificity of 67.2% and a NPV of 98.8%. Examination of all malignancies (ovarian & non-ovarian) provided a sensitivity of 89.7% for ROMA+ICRA in comparison to 77.9% for ICRA alone, a significant increase in sensitivity of 11.8%. The NPV also significantly increased from 95.5% to 97.3%. Overall, ROMA detected 13 additional malignancies missed by ICRA.
CONCLUSIONS: Adjunctive use of ROMA with clinical assessment improves the stratification of women with a pelvic mass into low and high risk groups for ovarian cancer. The combination is particularly effective in ruling out malignant disease.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ovarian cancer; Pelvic mass; ROMA; Risk assessment

Mesh:

Substances:

Year:  2014        PMID: 25449569     DOI: 10.1016/j.ygyno.2014.10.017

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  4 in total

1.  Multiple biomarker algorithms to predict epithelial ovarian cancer in women with a pelvic mass: Can additional makers improve performance?

Authors:  Richard G Moore; Alexandra Blackman; M Craig Miller; Katina Robison; Paul A DiSilvestro; Elizabeth E Eklund; Robert Strongin; Geralyn Messerlian
Journal:  Gynecol Oncol       Date:  2019-04-13       Impact factor: 5.482

2.  Assessing the risk of ovarian malignancy algorithm for the conservative management of women with a pelvic mass.

Authors:  Elizabeth Lokich; Marguerite Palisoul; Nicole Romano; M Craig Miller; Katina Robison; Ashley Stuckey; Paul DiSilvestro; Cara Mathews; C O Granai; Geralyn Lambert-Messerlian; Richard G Moore
Journal:  Gynecol Oncol       Date:  2015-09-11       Impact factor: 5.482

3.  Simple laboratory score improves the preoperative diagnosis of adnexal mass.

Authors:  Rafał Watrowski; Robert Zeillinger
Journal:  Tumour Biol       Date:  2015-10-23

4.  Base rate of ovarian cancer on algorithms in patients with a pelvic mass.

Authors:  Anne Lone Denny Rolfsen; Alv A Dahl; Are Hugo Pripp; Anne Dørum
Journal:  Int J Gynecol Cancer       Date:  2020-07-21       Impact factor: 3.437

  4 in total

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