Validation of ADNEX and IOTA two-step strategy and estimation of risk of complications during follow-up of adnexal masses in low-risk population.

ADNEX Adnexal lesion IOTA two-step strategy Ovarian cancer Ultrasound

Journal

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
ISSN: 1469-0705
Titre abrégé: Ultrasound Obstet Gynecol
Pays: England
ID NLM: 9108340

Informations de publication

Date de publication:
13 Mar 2024
Historique:
revised: 03 02 2024
received: 24 11 2023
accepted: 28 02 2024
medline: 13 3 2024
pubmed: 13 3 2024
entrez: 13 3 2024
Statut: aheadofprint

Résumé

The aim is to evaluate the ability of the Assessment of Different NEoplasias in the adneXa model (ADNEX) and the International Ovarian Tumour Analysis (IOTA) two-step strategy to predict malignancy in adnexal masses detected in an outpatient low-risk setting, and to estimate the risk of complications in masses with benign ultrasound morphology managed with clinical and ultrasound follow-up. This single center (Hospital Universitari Dexeus Barcelona) study was performed using interim data of the ongoing prospective observational IOTA phase 5 study. The primary aim of the IOTA 5 study is to describe the cumulative incidence of complications during follow-up of adnexal masses classified as benign on ultrasound. Consecutive patients with adnexal masses detected between June 2012 and September 2016 in a private center offering screening for gynecological cancers were included and followed-up until February 2020. Tumors were classified as benign or malignant based on histology (if patients underwent surgery) or outcome of clinical and ultrasound follow-up at 12 (±2) months. Multiple imputation was used when follow-up information was uncertain. The ability of the ADNEX model without CA125 and of the IOTA two-step strategy to distinguish benign from malignant masses was evaluated retrospectively using the prospectively collected data. We describe performance as discrimination (area under the receiver operating characteristic curve, AUC), calibration, classification (sensitivity and specificity) and clinical utility (Net Benefit). In the group of patients with a benign looking mass selected for conservative management we evaluated the occurrence of spontaneous resolution or any mass complication during the first 5 years of follow-up by assessing the cumulative incidence for malignancy, torsion, cyst rupture, or minor mass complications (inflammation, infection, or adhesions) and the time to occurrence of an event. A total of 2654 patients were recruited to the study. After application of exclusion criteria, 2039 patients with a newly detected mass were included for the model validation. 1684 (82.6%) masses were benign, 49 (2.4%) masses were malignant and for 306 (15.0%) masses the outcome was uncertain and imputed. The AUC was 0.95 (95% CI 0.89-0.98) for ADNEX and 0.94 (95% CI 0.88-0.97) for the two-step strategy. Calibration performance could not be meaningfully interpreted due to few malignancies resulting in very wide confidence intervals. The two-step strategy had better clinical utility than ADNEX at malignancy risk thresholds < 3%. 1472 (72%) patients had a mass judged to be benign based on pattern recognition by an experienced ultrasound examiner and were managed with clinical and ultrasound follow-up. In this group, the 5-year cumulative incidence was 66% for spontaneous resolution of the mass (95% CI 63-69), 0% for torsion (95%CI 0-0.002), 0.1% for cyst rupture (<0.1-0.6), 0.2% for a borderline tumor (<0.1-0.6), and 0.2% (0.1-0.6) for invasive malignancy. The ADNEX model and IOTA two-step strategy performed well to distinguish benign from malignant adnexal masses detected in a low-risk population. Conservative management is safe for masses with benign ultrasound appearance in such a population. This article is protected by copyright. All rights reserved.

Identifiants

pubmed: 38477179
doi: 10.1002/uog.27642
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

This article is protected by copyright. All rights reserved.

Auteurs

M A Pascual (MA)

Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, 08028, Barcelona, Spain.

L Vancraeynest (L)

Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium.

S Timmerman (S)

Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium.

J Ceusters (J)

Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.

A Ledger (A)

Department of Development and Regeneration, KU Leuven, Leuven, Belgium.

B Graupera (B)

Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, 08028, Barcelona, Spain.

I Rodriguez (I)

Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, 08028, Barcelona, Spain.

B Valero (B)

Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, 08028, Barcelona, Spain.

C Landolfo (C)

Queen Charlotte's and Chelsea Hospital, Imperial College, London, UK.

A C Testa (AC)

Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCSS, Rome, Italy.

T Bourne (T)

Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Queen Charlotte's and Chelsea Hospital, Imperial College, London, UK.

D Timmerman (D)

Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium.

L Valentin (L)

Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö, Sweden.
Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.

B Van Calster (B)

Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.

W Froyman (W)

Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium.

Classifications MeSH