Vessel morphology depicted by three-dimensional power Doppler ultrasound as second-stage test in adnexal tumors that are difficult to classify: prospective diagnostic accuracy study
Jazyk angličtina Země Velká Británie, Anglie Médium print
Typ dokumentu časopisecké články, multicentrická studie, pozorovací studie, práce podpořená grantem
Grantová podpora
no grant numbers are given
Allmänna Sjukhusets i Malmö Stiftelse för bekämpande av cancer (the Malmö General Hospital Foundation for fighting against cancer)
Funds administered by Skåne University Hospital
no numbers exist
Landstingsfinansierad regional forskning (a Swedish governmental grant from the region of Scania)
grant no. K2006-73X-11605-11-3
Swedish Medical Research Council
no numbers exist
Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement
PubMed
32853459
PubMed Central
PMC7898332
DOI
10.1002/uog.22191
Knihovny.cz E-zdroje
- Klíčová slova
- Doppler, ovarian neoplasm, three-dimensional ultrasound, ultrasonography, vascular morphology,
- MeSH
- adenom diagnostické zobrazování patofyziologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory vaječníků diagnostické zobrazování patofyziologie MeSH
- nemoci děložních adnex diagnostické zobrazování patofyziologie MeSH
- prospektivní studie MeSH
- ROC křivka MeSH
- senzitivita a specificita MeSH
- ultrasonografie dopplerovská MeSH
- zobrazování trojrozměrné MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- pozorovací studie MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Evropa MeSH
OBJECTIVES: To assess whether vessel morphology depicted by three-dimensional (3D) power Doppler ultrasound improves discrimination between benignity and malignancy if used as a second-stage test in adnexal masses that are difficult to classify. METHODS: This was a prospective observational international multicenter diagnostic accuracy study. Consecutive patients with an adnexal mass underwent standardized transvaginal two-dimensional (2D) grayscale and color or power Doppler and 3D power Doppler ultrasound examination by an experienced examiner, and those with a 'difficult' tumor were included in the current analysis. A difficult tumor was defined as one in which the International Ovarian Tumor Analysis (IOTA) logistic regression model-1 (LR-1) yielded an ambiguous result (risk of malignancy, 8.3% to 25.5%), or as one in which the ultrasound examiner was uncertain regarding classification as benign or malignant when using subjective assessment. Even when the ultrasound examiner was uncertain, he/she was obliged to classify the tumor as most probably benign or most probably malignant. For each difficult tumor, one researcher created a 360° rotating 3D power Doppler image of the vessel tree in the whole tumor and another of the vessel tree in a 5-cm3 spherical volume selected from the most vascularized part of the tumor. Two other researchers, blinded to the patient's history, 2D ultrasound findings and histological diagnosis, independently described the vessel tree using predetermined vessel features. Their agreed classification was used. The reference standard was the histological diagnosis of the mass. The sensitivity of each test for discriminating between benign and malignant difficult tumors was plotted against 1 - specificity on a receiver-operating-characteristics diagram, and the test with the point furthest from the reference line was considered to have the best diagnostic ability. RESULTS: Of 2403 women with an adnexal mass, 376 (16%) had a difficult mass. Ultrasound volumes were available for 138 of these cases. In 79/138 masses, the ultrasound examiner was uncertain about the diagnosis based on subjective assessment, in 87/138, IOTA LR-1 yielded an ambiguous result and, in 28/138, both methods gave an uncertain result. Of the masses, 38/138 (28%) were malignant. Among tumors that were difficult to classify as benign or malignant by subjective assessment, the vessel feature 'densely packed vessels' had the best discriminative ability (sensitivity 67% (18/27), specificity 83% (43/52)) and was slightly superior to subjective assessment (sensitivity 74% (20/27), specificity 60% (31/52)). In tumors in which IOTA LR-1 yielded an ambiguous result, subjective assessment (sensitivity 82% (14/17), specificity 79% (55/70)) was superior to the best vascular feature, i.e. changes in the diameter of vessels in the whole tumor volume (sensitivity 71% (12/17), specificity 69% (48/70)). CONCLUSION: Vessel morphology depicted by 3D power Doppler ultrasound may slightly improve discrimination between benign and malignant adnexal tumors that are difficult to classify by subjective ultrasound assessment. For tumors in which the IOTA LR-1 model yields an ambiguous result, subjective assessment is superior to vessel morphology as a second-stage test. © 2020 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
1st Department of Gynecological Oncology and Gynecology Medical University of Lublin Lublin Poland
Department of Clinical Science and Education Karolinska Institute Södersjukhuset Stockholm Sweden
Department of Clinical Sciences Malmö Lund University Malmö Sweden
Department of Development and Regeneration KU Leuven Leuven Belgium
Department of Gynecological Oncology Catholic University of the Sacred Heart Rome Italy
Department of Obstetrics and Gynecology Ikazia Hospital Rotterdam Rotterdam The Netherlands
Department of Obstetrics and Gynecology San Gerardo Hospital University of Milan Bicocca Monza Italy
Department of Obstetrics and Gynecology Skåne University Hospital Malmö Sweden
Department of Obstetrics and Gynecology Ziekenhuis Oost Limburg Genk Belgium
Department of Obstetrics Gynecology and Reproduction Hospital Universitari Dexeus Barcelona Spain
Jules Bordet Institute Université Libre de Bruxelles Brussels Belgium
Preventive Gynecology Unit Division of Gynecology European Institute of Oncology Milan Italy
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