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Preoperative application of the Enzian classification for endometriosis (The cEnzian Study): A prospective international multicenter study

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023698%3A_____%2F22%3AN0000006" target="_blank" >RIV/00023698:_____/22:N0000006 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://obgyn.onlinelibrary.wiley.com/doi/full/10.1111/1471-0528.17235" target="_blank" >https://obgyn.onlinelibrary.wiley.com/doi/full/10.1111/1471-0528.17235</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/1471-0528.17235" target="_blank" >10.1111/1471-0528.17235</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Preoperative application of the Enzian classification for endometriosis (The cEnzian Study): A prospective international multicenter study

  • Popis výsledku v původním jazyce

    Objective To assess the diagnostic performance of preoperative application of the Enzian classification (cEnzian) using surgical findings as reference standard. Design A prospective international non-interventional study. Setting Twelve endometriosis centres in four European countries (Austria, Germany, Switzerland and Czech Republic). Population 1062 women with endometriosis surgery. Methods Extent of endometriosis was preoperatively classified using the cEnzian classification based on gynaecological examination and/or transvaginal ultrasound (TVS) and/or magnetic resonance imaging (MRI). After subsequent surgery, the surgeon classified the intraoperative findings using the Enzian classification. Main outcome measures Sensitivity, specificity, PPV, NPV, LR+, LR- and accuracy were calculated. Conditional frequencies of intraoperative Enzian codings and the corresponding 95% confidence intervals were computed for each preoperative coding and visualised in plots. Results Although overall consistency of cEnzian and Enzian was poor (35.14%, 95% confidence interval 32.26-38.03), high specificities and negative predictive values (NPVs) of the cEnzian compartments could be demonstrated. Looking at the individual parts of the Enzian classification, the poorest diagnostic performance was detected for compartment B and the highest PPVs were found for category 3 lesions (>3 cm), independent of the compartment. Conclusions Using the Enzian classification in a non-invasive setting is a useful tool providing us with an 'at a glance' summary of the diagnostic workup regarding deep endometriosis with high specificities and NPVs. An attempt to merge the two new endometriosis classification systems (#Enzian and AAGL 2021) seems reasonable taking into consideration the respective advantages of each other.

  • Název v anglickém jazyce

    Preoperative application of the Enzian classification for endometriosis (The cEnzian Study): A prospective international multicenter study

  • Popis výsledku anglicky

    Objective To assess the diagnostic performance of preoperative application of the Enzian classification (cEnzian) using surgical findings as reference standard. Design A prospective international non-interventional study. Setting Twelve endometriosis centres in four European countries (Austria, Germany, Switzerland and Czech Republic). Population 1062 women with endometriosis surgery. Methods Extent of endometriosis was preoperatively classified using the cEnzian classification based on gynaecological examination and/or transvaginal ultrasound (TVS) and/or magnetic resonance imaging (MRI). After subsequent surgery, the surgeon classified the intraoperative findings using the Enzian classification. Main outcome measures Sensitivity, specificity, PPV, NPV, LR+, LR- and accuracy were calculated. Conditional frequencies of intraoperative Enzian codings and the corresponding 95% confidence intervals were computed for each preoperative coding and visualised in plots. Results Although overall consistency of cEnzian and Enzian was poor (35.14%, 95% confidence interval 32.26-38.03), high specificities and negative predictive values (NPVs) of the cEnzian compartments could be demonstrated. Looking at the individual parts of the Enzian classification, the poorest diagnostic performance was detected for compartment B and the highest PPVs were found for category 3 lesions (>3 cm), independent of the compartment. Conclusions Using the Enzian classification in a non-invasive setting is a useful tool providing us with an 'at a glance' summary of the diagnostic workup regarding deep endometriosis with high specificities and NPVs. An attempt to merge the two new endometriosis classification systems (#Enzian and AAGL 2021) seems reasonable taking into consideration the respective advantages of each other.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    30214 - Obstetrics and gynaecology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY

  • ISSN

    1470-0328

  • e-ISSN

    1471-0528

  • Svazek periodika

    129

  • Číslo periodika v rámci svazku

    12

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    10

  • Strana od-do

    2052-2061

  • Kód UT WoS článku

    000805611200001

  • EID výsledku v databázi Scopus

    2-s2.0-85131177242