ROCkeTS: Refining Ovarian Cancer Test Accuracy Scores

Conditions

Topic: Cancer

Sudha Sundar, Ridhi Agarwal, Katie Scandrett, Clare Davenport, Ben Van Calster et al. (21 authors)

BMJ2026-01-28

10.1136/bmj-2024-083912

Risk-prediction models in postmenopausal patients with symptoms of suspected ovarian cancer in the UK (ROCkeTS): a multicentre, prospective diagnostic accuracy study.

Sundar S, Agarwal R, Davenport C, Scandrett K, Johnson S, Sengupta P, Selvi-Vikram R, Kwong FL, Mallett S, Rick C, Kehoe S, Timmerman D, Bourne T, Van Calster B, Stobart H, Neal RD, Menon U, Gentry-Maharaj A, Sturdy L, Ottridge R, Deeks J, ROCkeTS collaborators.

2024-10-0118 citations

10.1016/s1470-2045(24)00406-6

Refining Ovarian Cancer Test accuracy Scores (ROCkeTS): protocol for a prospective longitudinal test accuracy study to validate new risk scores in women with symptoms of suspected ovarian cancer

Sudha Sundar, Caroline Rick, Francis Dowling, Pui Au, Kym I E Snell et al. (19 authors)

BMJ Open2016-08-0126 citations

10.1136/bmjopen-2015-010333

Interventions

The new algorithm: The new test will be developed as part of phase 1 and 2 using biomarkers and ultrasound. Follow Up Length: 12 month(s)

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Pre and postmenopausal women with symptoms of suspected OC and either: 2. Raised Ca125 3. Abnormal USG

Exclusion criteria

Exclusion criteria: 1. USG reveals non ovarian pathology, e.g. fibroids or simple ovarian cysts < 5cm in size (very low risk of malignancy) 2. Patients with normal pelvis USG 3. Patients who decline transvaginal scan 4. Patients unable to provide informed consent

Design outcomes

Primary

Measure	Time frame
Sensitivity of the new algorithm	—

Secondary

Measure	Time frame
Specificity of the new algorithm	—

Countries

England, United Kingdom

Contacts

Public ContactRyan Ottridge

r.ottridge@bham.ac.uk+44 121 415 9127

Outcome results

None listed