SONATA – Transforming Ovarian cancer diagnostic pathways (TranSforming Ovarian caNcer diAgnosTic pAthways: A hybrid Type 1 effectiveness-implementation study of a novel biomarker based, threshold driven pathway for earlier ovarian cancer diagnosis)

SONATA – Transforming Ovarian cancer diagnostic pathways (TranSforming Ovarian caNcer diAgnosTic pAthways: A hybrid Type 1 effectiveness-implementation study of a novel biomarker based, threshold driven pathway for earlier ovarian cancer diagnosis) image

Home » Data use register » SONATA – Transforming Ovarian cancer diagnostic pathways (TranSforming Ovarian caNcer diAgnosTic pAthways: A hybrid Type 1 effectiveness-implementation study of a novel biomarker based, threshold driven pathway for earlier ovarian cancer diagnosis)

Data Use Register - full project summary

Safe People

Lead applicant organisation
Sandwell and West Birmingham NHS Trust

Safe Projects

Project Title
SONATA - Transforming Ovarian cancer diagnostic pathways (TranSforming Ovarian caNcer diAgnosTic pAthways: A hybrid Type 1 effectiveness-implementation study of a novel biomarker based, threshold driven pathway for earlier ovarian cancer diagnosis)
Lay summary
Ovarian cancer is often diagnosed at a late stage, making early detection crucial for improving outcomes. Currently, the standard approach in the NHS involves a two-step testing process: measuring CA125 levels in a blood test, followed by an ultrasound scan if CA125 levels are high. In secondary care, a test called the Risk of Malignancy Index (RMI) is used, which combines CA125 and ultrasound findings. However, recent evidence suggests that an alternative test, called the Risk of Ovarian Malignancy Algorithm (ROMA), may be more effective. ROMA combines CA125 with another biomarker, HE4, and could help improve early diagnosis.

The SONATA project aims to evaluate how ROMA can be implemented in primary care to improve ovarian cancer detection. The project will test ROMA across multiple NHS settings, including GP practices and hospitals, and assess its impact on diagnosis and referral processes. It will also include a community awareness campaign to ensure that women, particularly in underserved areas, are aware of ovarian cancer symptoms and testing options.

By integrating ROMA into the diagnostic pathway, SONATA hopes to improve early detection, streamline referrals, and reduce unnecessary tests, ultimately benefiting both patients and the healthcare system
Public benefit statement
The SONATA project aims to improve the early detection of ovarian cancer by evaluating the use of the Risk of Ovarian Malignancy Algorithm (ROMA) in primary and secondary care. By implementing ROMA across NHS settings, the project seeks to improve referral accuracy, reduce unnecessary tests, and streamline the diagnostic process.
Latest Approval Date
27/12/2024

Safe Data

Dataset(s) name
SDE009

Safe Setting

Access type
West Midlands SDE trusted research environment

Safe Outputs

Link
Not yet published