2020
DOI: 10.1002/jum.15234
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Obstetrics and Gynecology Residents Can Accurately Classify Benign Ovarian Tumors Using the International Ovarian Tumor Analysis Rules

Abstract: ObjectivesRecognition of benign versus malignant tumors is essential in gynecologic ultrasound (US). The International Ovarian Tumor Analysis (IOTA) rules have been proposed as part of resident US training. The objective of this study was to examine whether they could be accurately used by obstetrics and gynecology residents in Rwanda.MethodsPatients undergoing explorative laparotomy for adnexal masses at the University Teaching Hospital of Kigali were included. Before the study, a didactic lecture on the IOTA… Show more

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Cited by 6 publications
(4 citation statements)
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“…Most of the articles available in English within the last 5 years describe the performance of IOTA, ADNEX, and GI-RADS models based only on experts’ also known as level III [ 1 ] examiners’ evaluation data. Only several [ 2 , 3 , 4 , 5 , 6 , 7 ] conduct research including less experienced trainees or residents, yet only describing the performance of SR with or without subjective evaluation. No articles were found describing GI-RADS or ADNEX performance when applied by level I or even less experienced examiners.…”
Section: Introductionmentioning
confidence: 99%
“…Most of the articles available in English within the last 5 years describe the performance of IOTA, ADNEX, and GI-RADS models based only on experts’ also known as level III [ 1 ] examiners’ evaluation data. Only several [ 2 , 3 , 4 , 5 , 6 , 7 ] conduct research including less experienced trainees or residents, yet only describing the performance of SR with or without subjective evaluation. No articles were found describing GI-RADS or ADNEX performance when applied by level I or even less experienced examiners.…”
Section: Introductionmentioning
confidence: 99%
“…Insgesamt scheinen diese Scoring-Systeme jedoch insbesondere bei der Beurteilung durch einen unerfahreneren Untersucher bzw. im Zeitfenster des "Erlernens" der "pattern recognition" wertvoll zu sein [23,24].…”
Section: Kombinierte Scoresunclassified
“…Ovarian cancer is one of the most common gynecologic malignancies [1], with 295,400 newly diagnosed ovarian cancer cases and 184,800 deaths due to ovarian cancer worldwide in 2018 [2]. Despite the use of increasingly more chemotherapeutic drugs, the overall 5-year survival rate is still less than 30-40% [3]. Therefore, it is important to develop novel chemotherapies to improve the therapeutic effect and prolong survival.…”
Section: Introductionmentioning
confidence: 99%