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Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy : a systematic review and meta-analysis of external validation studies

Barreñada, Lasai ; Ledger, Ashleigh ; Kotlarz, Agnieszka ; Dhiman, Paula ; Collins, Gary Stephen ; Wynants, Laure ; Verbakel, Jan Yvan Jos ; Valentin, Lil LU orcid ; Timmerman, Dirk and Van Calster, Ben (2025) In BMJ Open 15(10).
Abstract

Objectives Assessment of Different NEoplasias in the adneXa (ADNEX) and Risk of Malignancy Index (RMI) are models that estimate the risk of malignancy in ovarian masses based on clinical and ultrasound information. The aim is to perform a meta-analysis of studies that compared the performance of the two models in the same patients (‘head-to-head comparison’). Design Systematic review and meta-analysis. Data sources Systematic literature search from publication of ADNEX model (15/10/2014) up to 31/07/2024 in Embase, Web of Science, Scopus, Medline (via PubMed) and EuropePMC. Eligibility criteria for selecting studies We included all studies that externally validated the performance of ADNEX (with or without CA125) and RMI on the same... (More)

Objectives Assessment of Different NEoplasias in the adneXa (ADNEX) and Risk of Malignancy Index (RMI) are models that estimate the risk of malignancy in ovarian masses based on clinical and ultrasound information. The aim is to perform a meta-analysis of studies that compared the performance of the two models in the same patients (‘head-to-head comparison’). Design Systematic review and meta-analysis. Data sources Systematic literature search from publication of ADNEX model (15/10/2014) up to 31/07/2024 in Embase, Web of Science, Scopus, Medline (via PubMed) and EuropePMC. Eligibility criteria for selecting studies We included all studies that externally validated the performance of ADNEX (with or without CA125) and RMI on the same data. Data extraction and synthesis Two independent reviewers extracted data using a standardised extraction sheet. We assessed risk of bias using PROBAST. We performed random effects meta-analysis of the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and clinical utility (net benefit, relative utility and probability of being useful in a hypothetical new centre) at thresholds commonly used clinically (10% risk of malignancy for ADNEX, 200 for RMI). Results We included 11 studies comprising 8271 tumours. Most studies were at high risk of bias. The summary AUC to distinguish benign from malignant tumours in operated patients for ADNEX with CA125 was 0.92 (95% CI 0.90 to 0.94) and for RMI it was 0.85 (0.81 to 0.89). Sensitivity and specificity for ADNEX with CA125 were 0.93 (0.90 to 0.96) and 0.77 (0.71 to 0.81) and for RMI, they were 0.61 (0.56 to 0.67) and 0.92 (0.89 to 0.94). The probability of the test being useful in a hypothetical new centre in operated patients was 96% for ADNEX with CA125 and 15% for RMI at the selected thresholds. Conclusions ADNEX has better discrimination and clinical utility than RMI.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Gynaecological oncology, Meta-Analysis, STATISTICS & RESEARCH METHODS
in
BMJ Open
volume
15
issue
10
article number
e104141
publisher
BMJ Publishing Group
external identifiers
  • scopus:105018206743
  • pmid:41062138
ISSN
2044-6055
DOI
10.1136/bmjopen-2025-104141
language
English
LU publication?
yes
id
ad6d97db-fd68-4330-a27f-2353bb42416c
date added to LUP
2025-11-24 14:56:52
date last changed
2025-11-25 03:00:03
@article{ad6d97db-fd68-4330-a27f-2353bb42416c,
  abstract     = {{<p>Objectives Assessment of Different NEoplasias in the adneXa (ADNEX) and Risk of Malignancy Index (RMI) are models that estimate the risk of malignancy in ovarian masses based on clinical and ultrasound information. The aim is to perform a meta-analysis of studies that compared the performance of the two models in the same patients (‘head-to-head comparison’). Design Systematic review and meta-analysis. Data sources Systematic literature search from publication of ADNEX model (15/10/2014) up to 31/07/2024 in Embase, Web of Science, Scopus, Medline (via PubMed) and EuropePMC. Eligibility criteria for selecting studies We included all studies that externally validated the performance of ADNEX (with or without CA125) and RMI on the same data. Data extraction and synthesis Two independent reviewers extracted data using a standardised extraction sheet. We assessed risk of bias using PROBAST. We performed random effects meta-analysis of the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and clinical utility (net benefit, relative utility and probability of being useful in a hypothetical new centre) at thresholds commonly used clinically (10% risk of malignancy for ADNEX, 200 for RMI). Results We included 11 studies comprising 8271 tumours. Most studies were at high risk of bias. The summary AUC to distinguish benign from malignant tumours in operated patients for ADNEX with CA125 was 0.92 (95% CI 0.90 to 0.94) and for RMI it was 0.85 (0.81 to 0.89). Sensitivity and specificity for ADNEX with CA125 were 0.93 (0.90 to 0.96) and 0.77 (0.71 to 0.81) and for RMI, they were 0.61 (0.56 to 0.67) and 0.92 (0.89 to 0.94). The probability of the test being useful in a hypothetical new centre in operated patients was 96% for ADNEX with CA125 and 15% for RMI at the selected thresholds. Conclusions ADNEX has better discrimination and clinical utility than RMI.</p>}},
  author       = {{Barreñada, Lasai and Ledger, Ashleigh and Kotlarz, Agnieszka and Dhiman, Paula and Collins, Gary Stephen and Wynants, Laure and Verbakel, Jan Yvan Jos and Valentin, Lil and Timmerman, Dirk and Van Calster, Ben}},
  issn         = {{2044-6055}},
  keywords     = {{Gynaecological oncology; Meta-Analysis; STATISTICS & RESEARCH METHODS}},
  language     = {{eng}},
  number       = {{10}},
  publisher    = {{BMJ Publishing Group}},
  series       = {{BMJ Open}},
  title        = {{Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy : a systematic review and meta-analysis of external validation studies}},
  url          = {{http://dx.doi.org/10.1136/bmjopen-2025-104141}},
  doi          = {{10.1136/bmjopen-2025-104141}},
  volume       = {{15}},
  year         = {{2025}},
}