[Diagnostics of ovarian cancer; test accuracy of algorithm-based diagnostics in cases of suspected ovarian cancer]
SBU
Record ID 32018013637
English
Original Title:
Diagnostik av äggstockscancer - tillförlitlighet för algoritmbaserad diagnostik vid misstanke om äggstockscancer
Authors' objectives:
The aim of this systematic review was to assess the diagnostic test accuracy of six algorithms used for suspected ovarian cancer. It encompasses an ethical discourse on the findings.
Authors' results and conclusions:
SBU assessed six algorithms (SR, PR, RMI, ROMA, ADNEX, LR21) for the evaluation of pre-operative ovarian cancer risk. The most frequently used algorithms in Sweden are PR and SR. General finding: SR and PR demonstrated comparable diagnostic accuracy to most alternatives for the whole population.
(1. SR: Simple Rules, PR: Pattern Recognition, RMI: Risk of Malignancy Index, ROMA: Risk of Ovarian Malignancy Algorithm, ADNEX: Assessment of Different NEoplasias in the adneXa, LR2: Logistic Regression Model 2.)
Conclusions:
For premenopausal women, using indirect comparisons: SR, PR, and ADNEX algorithms exhibited superior test accuracy. For postmenopausal women, SR, PR, RMI, ROMA, and ADNEX algorithms showed high test accuracy, which was indistinguishable from each other. For LR2, there was insufficient data to make firm conclusions.
Details
Project Status:
Completed
Year Published:
2025
URL for published report:
https://www.sbu.se/395e
English language abstract:
An English language summary is available
Publication Type:
Full HTA
Country:
Sweden
MeSH Terms
- Diagnosis
- Ovarian Neoplasms
- Risk Assessment
- Algorithms
Contact
Organisation Name:
Swedish Agency for Health Technology Assessment and Assessment of Social Services
Contact Address:
SBU – Swedish Agency for Health Technology Assessment and Assessment of Social Services, P.O. Box 6183, SE-102 33 Stockholm, Sweden. Tel: +46 8 4123200, Fax: +46 8 4113260
Contact Name:
registrator@sbu.se
Contact Email:
registrator@sbu.se
Copyright:
SBU – Swedish Agency for Health Technology Assessment and Assessment of Social Services
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