Literature DB >> 34279456

External Validation of the IOTA Classification in Women with Ovarian Masses Suspected to Be Endometrioma.

Lee Cohen Ben-Meir1, Roy Mashiach2, Vered H Eisenberg1.   

Abstract

The study aimed to perform external validation of the International Ovarian Tumor Analysis (IOTA) classification of adnexal masses as benign or malignant in women with suspected endometrioma. A retrospective study including women referred to an endometriosis tertiary referral center for dedicated transvaginal ultrasound (TVUS). Adnexal masses were evaluated using the IOTA classification simple descriptors, simple rules and expert opinion. The reference standard was definitive histology after mass removal at laparoscopy. In total, 621 women were evaluated and divided into four groups: endometrioma on TVUS and confirmed on surgery (Group 1 = 181), endometrioma on TVUS but other benign cysts on surgery (Group 2 = 9), other cysts on TVUS but endometrioma on surgery (Group 3 = 2), masses classified as other findings or suspicious for malignancy on TVUS and confirmed on surgery (Group 4 = 5 potentially malignant, 11 benign). This gave a sensitivity 98.9%, specificity 64%, positive 95.3% and negative 88.9% predictive values, positive 2.74 and negative 0.02 likelihood ratios and 94.7% overall accuracy. The surgical diagnosis for the five masses suspected to be malignant was: borderline serous tumor (2), borderline mucinous tumor (2), and endometrioid lesion with complex hyperplasia without atypia (1). The conclusions were that the IOTA classification simple descriptors, simple rules and expert opinion performs well for classifying adnexal masses suspected to be endometrioma. The most common potentially malignant masses in these women were borderline ovarian tumors.

Entities:  

Keywords:  IDEA classification; IOTA classification; endometrioma; endometriosis; external validation; ovarian cyst; transvaginal ultrasound

Year:  2021        PMID: 34279456     DOI: 10.3390/jcm10132971

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  2 in total

1.  The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy.

Authors:  Shoichiro Yamanaka; Naoki Kawahara; Ryuji Kawaguchi; Keita Waki; Tomoka Maehana; Yosuke Fukui; Ryuta Miyake; Yuki Yamada; Hiroshi Kobayashi; Fuminori Kimura
Journal:  Diagnostics (Basel)       Date:  2022-05-12

2.  Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type.

Authors:  Edward J Pavlik; Emily Brekke; Justin Gorski; Lauren Baldwin-Branch; Rachel Miller; Christopher P DeSimone; Charles S Dietrich; Holly S Gallion; Frederick Rand Ueland; John R van Nagell
Journal:  Diagnostics (Basel)       Date:  2022-01-06
  2 in total

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