Evaluation of the <scp>IOTA ADNEX</scp> Model, Two‐Step Strategy and <scp>RMI</scp> in Routine Gynaecologic Care in Denmark and Implications for Implementation: A Prospective Multicenter Cohort Study

OBJECTIVE: To evaluate whether the IOTA ADNEX model and the Two-Step Strategy improve triage and referral of adnexal masses in routine gyneacologic care compared with the RMI and to identify an appropriate malignancy-risk threshold. DESIGN: Prospective multicenter cohort study. SETTING: Thirteen non-tertiary hospitals and clinics and one tertiary referral hospital in Denmark. SAMPLE: A complete-case cohort of 966 patients with adnexal masses. METHODS: Malignancy risk was estimated using prospectively collected clinical data, ultrasound findings, and CA125 levels. Reference standard was histopathology or ≥ 12 months of clinical follow-up. Performance was evaluated across predefined thresholds (1%-30% for ADNEX/Two-Step Strategy (modified benign descriptors + ADNEX); ≥ 200 for RMI), stratified by centre type. OUTCOME MEASURES: Negative and positive predictive values (NPV, PPV), sensitivity, referral rates to assess correct and incorrect referrals. RESULTS: In non-tertiary centres, NPVs were ≥ 96% for IOTA models versus 95% for RMI; corresponding values in the tertiary centre were 82%-100% versus 78%. PPVs increased with higher thresholds and approached RMI at 20% threshold. In non-tertiary centres, where referral decisions are made, a 15% threshold provided the most favourable balance between sensitivity (~63%) and referral rate (~14%). At thresholds ≥ 25%, referral rates were similar to RMI (~8%), with only marginal gains in sensitivity (~50% vs. 39%). Most additionally detected tumours were stage I ovarian cancers or borderline tumours. For masses classified as benign by modified benign descriptors, ADNEX showed high NPVs but low PPVs and negligible net benefit, providing limited additional diagnostic value over the Two-Step Strategy. CONCLUSIONS: IOTA-based models improve early detection but increase referral rates. A 15% risk threshold appears to offer a clinically reasonable balance between early detection of malignancy and referral burden, based on observed trade-offs between detection and referral rates. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04188652.

Authors

Institutions

Publication Details

Journal
BJOG An International Journal of Obstetrics & Gynaecology
Published
2026-04-26
DOI
https://doi.org/10.1111/1471-0528.70253
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of the IOTA ADNEX Model, Two‐Step Strategy and RMI in Routine Gynaecologic Care in Denmark and Implications for Implementation: A Prospective Multicenter Cohort Study

Mona Aarenstrup Karlsen, A. Sakse, Eva Dreisler, Malene Merete Forstholm et al.
BJOG An International Journal of Obstetrics & Gynaecology
Cervical Cancer and HPV Research
article

Evaluation of the IOTA ADNEX Model, Two‐Step Strategy and RMI in Routine Gynaecologic Care in Denmark and Implications for Implementation: A Prospective Multicenter Cohort Study

Mona Aarenstrup Karlsen, A. Sakse, Eva Dreisler, Malene Merete Forstholm, Thomas Alexander Gerds, Claus Kim Høgdall, Nikoline Schou Karlsen, Guðbjörg Andrésdóttir, Estrid Solyom Høgdall, Lea Langhoff‐Thuesen
article en

Abstract

OBJECTIVE: To evaluate whether the IOTA ADNEX model and the Two-Step Strategy improve triage and referral of adnexal masses in routine gyneacologic care compared with the RMI and to identify an appropriate malignancy-risk threshold. DESIGN: Prospective multicenter cohort study. SETTING: Thirteen non-tertiary hospitals and clinics and one tertiary referral hospital in Denmark. SAMPLE: A complete-case cohort of 966 patients with adnexal masses. METHODS: Malignancy risk was estimated using prospectively collected clinical data, ultrasound findings, and CA125 levels. Reference standard was histopathology or ≥ 12 months of clinical follow-up. Performance was evaluated across predefined thresholds (1%-30% for ADNEX/Two-Step Strategy (modified benign descriptors + ADNEX); ≥ 200 for RMI), stratified by centre type. OUTCOME MEASURES: Negative and positive predictive values (NPV, PPV), sensitivity, referral rates to assess correct and incorrect referrals. RESULTS: In non-tertiary centres, NPVs were ≥ 96% for IOTA models versus 95% for RMI; corresponding values in the tertiary centre were 82%-100% versus 78%. PPVs increased with higher thresholds and approached RMI at 20% threshold. In non-tertiary centres, where referral decisions are made, a 15% threshold provided the most favourable balance between sensitivity (~63%) and referral rate (~14%). At thresholds ≥ 25%, referral rates were similar to RMI (~8%), with only marginal gains in sensitivity (~50% vs. 39%). Most additionally detected tumours were stage I ovarian cancers or borderline tumours. For masses classified as benign by modified benign descriptors, ADNEX showed high NPVs but low PPVs and negligible net benefit, providing limited additional diagnostic value over the Two-Step Strategy. CONCLUSIONS: IOTA-based models improve early detection but increase referral rates. A 15% risk threshold appears to offer a clinically reasonable balance between early detection of malignancy and referral burden, based on observed trade-offs between detection and referral rates. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT04188652.

BJOG An International Journal of Obstetrics & Gynaecology
University of Copenhagen (DK), Amager Hospital (DK), Herlev Hospital (DK), Hvidovre Hospital (DK), Copenhagen University Hospital (DK), Gentofte Hospital (DK), Zealand University Hospital (DK)
Kræftens Bekæmpelse
Openalex Percentile: Top 6%
Cervical Cancer and HPV Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.