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Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery

C. Landolfo, J. Ceusters, L. Valentin, W. Froyman, T. Van Gorp, R. Heremans, T. Baert, R. Wouters, A. Vankerckhoven, AS. Van Rompuy, J. Billen, F. Moro, F. Mascilini, A. Neumann, C. Van Holsbeke, V. Chiappa, T. Bourne, D. Fischerova, A. Testa, A....

. 2024 ; 130 (6) : 934-940. [pub] 20240119

Language English Country England, Great Britain

Document type Multicenter Study, Journal Article

Grant support
18B2921N Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders)
K2014-99X-22475-01-3 Vetenskapsrådet (Swedish Research Council)

E-resources Online Full text

NLK Free Medical Journals from 1947 to 1 year ago
Freely Accessible Journals from 1947 to 1 year ago
PubMed Central from 1947 to 1 year ago
Europe PubMed Central from 1947 to 1 year ago
ProQuest Central from 2000-01-01 to 1 year ago
Open Access Digital Library from 1947-01-01
Open Access Digital Library from 1999-01-01
Nursing & Allied Health Database (ProQuest) from 2000-01-01 to 1 year ago
Health & Medicine (ProQuest) from 2000-01-01 to 1 year ago
Public Health Database (ProQuest) from 2000-01-01 to 1 year ago

BACKGROUND: Several diagnostic prediction models to help clinicians discriminate between benign and malignant adnexal masses are available. This study is a head-to-head comparison of the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model with that of the Risk of Ovarian Malignancy Algorithm (ROMA). METHODS: This is a retrospective study based on prospectively included consecutive women with an adnexal tumour scheduled for surgery at five oncology centres and one non-oncology centre in four countries between 2015 and 2019. The reference standard was histology. Model performance for ADNEX and ROMA was evaluated regarding discrimination, calibration, and clinical utility. RESULTS: The primary analysis included 894 patients, of whom 434 (49%) had a malignant tumour. The area under the receiver operating characteristic curve (AUC) was 0.92 (95% CI 0.88-0.95) for ADNEX with CA125, 0.90 (0.84-0.94) for ADNEX without CA125, and 0.85 (0.80-0.89) for ROMA. ROMA, and to a lesser extent ADNEX, underestimated the risk of malignancy. Clinical utility was highest for ADNEX. ROMA had no clinical utility at decision thresholds <27%. CONCLUSIONS: ADNEX had better ability to discriminate between benign and malignant adnexal tumours and higher clinical utility than ROMA. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov NCT01698632 and NCT02847832.

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$a BACKGROUND: Several diagnostic prediction models to help clinicians discriminate between benign and malignant adnexal masses are available. This study is a head-to-head comparison of the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model with that of the Risk of Ovarian Malignancy Algorithm (ROMA). METHODS: This is a retrospective study based on prospectively included consecutive women with an adnexal tumour scheduled for surgery at five oncology centres and one non-oncology centre in four countries between 2015 and 2019. The reference standard was histology. Model performance for ADNEX and ROMA was evaluated regarding discrimination, calibration, and clinical utility. RESULTS: The primary analysis included 894 patients, of whom 434 (49%) had a malignant tumour. The area under the receiver operating characteristic curve (AUC) was 0.92 (95% CI 0.88-0.95) for ADNEX with CA125, 0.90 (0.84-0.94) for ADNEX without CA125, and 0.85 (0.80-0.89) for ROMA. ROMA, and to a lesser extent ADNEX, underestimated the risk of malignancy. Clinical utility was highest for ADNEX. ROMA had no clinical utility at decision thresholds <27%. CONCLUSIONS: ADNEX had better ability to discriminate between benign and malignant adnexal tumours and higher clinical utility than ROMA. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov NCT01698632 and NCT02847832.
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$a Valentin, Lil $u Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö, Sweden $u Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
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