Literature DB >> 33671023

Sonographic Assessment of Complex Ultrasound Morphology Adnexal Tumors in Pregnant Women with the Use of IOTA Simple Rules Risk and ADNEX Scoring Systems

Artur Czekierdowski1, Norbert Stachowicz2, Agata Smoleń2, Tomasz Kluz3, Tomasz Łoziński4, Andrzej Miturski5, Janusz Kraczkowski5.   

Abstract

BACKGROUND: To evaluate the accuracy of subjective assessment (SA), the International Ovarian Tumor Analysis (IOTA) group Simple Rules Risk (SRR) and the Assessment of Different NEoplasias in the adneXa (ADNEX) model for the preoperative differentiation of adnexal masses in pregnant women.
METHODS: The study population comprised 36 pregnant women (median age: 28.5 years old, range: 20-42 years old) with a mean gestation age of 13.5 (range: 8-31) weeks at diagnosis. Tumors were prospectively classified by local sonographers as probably benign or probably malignant using SA. Final tumor histological diagnosis was used as the reference standard in all cases. Logistic regression SRR and ADNEX models were used to obtain a risk score for every case. Serum CA125 and human epidydimis protein 4 (HE4) concentrations were also retrieved and the Risk of Ovarian Malignancy Algorithm (ROMA) value was calculated. The calculated predictive values included positive and negative likelihood ratios of ultrasound and biochemical tests.
RESULTS: Final histology confirmed 27 benign and 9 malignant (including 2 borderline) masses. The highest sensitivity (89%) and specificity (70%) were found for the subjective tumor assessment. Although no malignancy was classified as benign using the SRR criteria (sensitivity = 100%), the specificity of this scoring system was only 37%. At the cut-off risk level of >20%, the ADNEX model had a sensitivity of 78% and a specificity of 70%. Serum levels of CA125, HE4 and the ROMA risk model correctly identified adnexal malignant tumors with a sensitivity of 67%, 25% and 25%, respectively. Corresponding specificities were 72%, 100% and 100%, respectively. The highest positive and negative likelihood ratios were found for SA (LR+ = 3.0 and LR- = 0.16, respectively). Overall diagnostic accuracy of all predictive methods used in this study were similar (range: 70-75%) except for SRR (53%).
CONCLUSION: Subjective assessment remains the best predictive method in complex adnexal masses found at prenatal ultrasound in pregnant women. For less experienced sonographers, both the SRR and ADNEX scoring systems may be also used for the characterization of such tumors, while serum tumor markers CA125 and HE4, along with the ROMA algorithm appear to be less accurate.

Entities:  

Keywords:  ADNEX; ROMA algorithm; ovarian; pregnancy; simple rules risk; tumor; ultrasound

Year:  2021        PMID: 33671023      PMCID: PMC7997447          DOI: 10.3390/diagnostics11030414

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  47 in total

1.  Ovarian mass-differentiating benign from malignant: the value of the International Ovarian Tumor Analysis ultrasound rules.

Authors:  Jacques S Abramowicz; Dirk Timmerman
Journal:  Am J Obstet Gynecol       Date:  2017-07-20       Impact factor: 8.661

Review 2.  Use of IOTA simple rules for diagnosis of ovarian cancer: meta-analysis.

Authors:  N Nunes; G Ambler; X Foo; J Naftalin; M Widschwendter; D Jurkovic
Journal:  Ultrasound Obstet Gynecol       Date:  2014-10-13       Impact factor: 7.299

Review 3.  Endometriosis in pregnancy - diagnostics and management.

Authors:  F Frühauf; M Fanta; A Burgetová; D Fischerová
Journal:  Ceska Gynekol       Date:  2019

4.  Should we be examining the ovaries in pregnancy? Prevalence and natural history of adnexal pathology detected at first-trimester sonography.

Authors:  G Condous; A Khalid; E Okaro; T Bourne
Journal:  Ultrasound Obstet Gynecol       Date:  2004-07       Impact factor: 7.299

Review 5.  Gynecologic cancer in pregnancy.

Authors:  Travis-Riley K Korenaga; Krishnansu S Tewari
Journal:  Gynecol Oncol       Date:  2020-04-05       Impact factor: 5.482

6.  Measurement of HE4 and CA125 and establishment of reference intervals for the ROMA index in the sera of pregnant women.

Authors:  Jie Lu; Zhipeng Zheng; Qi Zhang; Guoli Li; Fengying Li; Zhian Le; Jun Huang; Xinyou Xie; Jun Zhang
Journal:  J Clin Lab Anal       Date:  2017-11-30       Impact factor: 2.352

7.  Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study.

Authors:  Ben Van Calster; Kirsten Van Hoorde; Lil Valentin; Antonia C Testa; Daniela Fischerova; Caroline Van Holsbeke; Luca Savelli; Dorella Franchi; Elisabeth Epstein; Jeroen Kaijser; Vanya Van Belle; Artur Czekierdowski; Stefano Guerriero; Robert Fruscio; Chiara Lanzani; Felice Scala; Tom Bourne; Dirk Timmerman
Journal:  BMJ       Date:  2014-10-15

8.  Validation of the Performance of International Ovarian Tumor Analysis (IOTA) Methods in the Diagnosis of Early Stage Ovarian Cancer in a Non-Screening Population.

Authors:  Wouter Froyman; Laure Wynants; Chiara Landolfo; Tom Bourne; Lil Valentin; Antonia Testa; Povilas Sladkevicius; Dorella Franchi; Daniela Fischerova; Luca Savelli; Ben Van Calster; Dirk Timmerman
Journal:  Diagnostics (Basel)       Date:  2017-06-02

Review 9.  Ovarian Cancer and Pregnancy-A Current Problem in Perinatal Medicine: A Comprehensive Review.

Authors:  Dominik Franciszek Dłuski; Radzisław Mierzyński; Elżbieta Poniedziałek-Czajkowska; Bożena Leszczyńska-Gorzelak
Journal:  Cancers (Basel)       Date:  2020-12-16       Impact factor: 6.639

10.  Performance of the IOTA ADNEX Model on Selected Group of Patients with Borderline Ovarian Tumours.

Authors:  Adrius Gaurilcikas; Migle Gedgaudaite; Arvydas Cizauskas; Vaida Atstupenaite; Saulius Paskauskas; Dovile Gaurilcikiene; Tomas Birzietis; Daiva Vaitkiene; Ruta Jolanta Nadisauskiene
Journal:  Medicina (Kaunas)       Date:  2020-12-11       Impact factor: 2.430

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  1 in total

1.  Ultrasonographic ovarian mass scoring system for predicting malignancy in pregnant women with ovarian mass.

Authors:  Se Jin Lee; Hye Rim Oh; Sunghun Na; Han Sung Hwang; Seung Mi Lee
Journal:  Obstet Gynecol Sci       Date:  2021-12-14
  1 in total

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