GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre (MUMC+), Maastricht, Netherlands.
Board of Directors, Maastricht University Medical Centre (MUMC+), Maastricht, Netherlands (Formerly: Zuyderland hospital, Sittard).
Ultraschall Med. 2017 Dec;38(6):633-641. doi: 10.1055/s-0043-113819. Epub 2017 Aug 23.
To analyze how well untrained examiners - without experience in the use of International Ovarian Tumor Analysis (IOTA) terminology or simple ultrasound-based rules (simple rules) - are able to apply IOTA terminology and simple rules and to assess the level of agreement between non-experts and an expert.
This prospective multicenter cohort study enrolled women with ovarian masses. Ultrasound was performed by non-expert examiners and an expert. Ultrasound features were recorded using IOTA nomenclature, and used for classifying the mass by simple rules. Interobserver agreement was evaluated with Fleiss' kappa and percentage agreement between observers.
50 consecutive women were included. We observed 46 discrepancies in the description of ovarian masses when non-experts utilized IOTA terminology. Tumor type was misclassified often (n = 22), resulting in poor interobserver agreement between the non-experts and the expert (kappa = 0.39, 95 %-CI 0.244 - 0.529, percentage of agreement = 52.0 %). Misinterpretation of simple rules by non-experts was observed 57 times, resulting in an erroneous diagnosis in 15 patients (30 %). The agreement for classifying the mass as benign, malignant or inconclusive by simple rules was only moderate between the non-experts and the expert (kappa = 0.50, 95 %-CI 0.300 - 0.704, percentage of agreement = 70.0 %). The level of agreement for all 10 simple rules features varied greatly (kappa index range: -0.08 - 0.74, percentage of agreement 66 - 94 %).
Although simple rules are useful to distinguish benign from malignant adnexal masses, they are not that simple for untrained examiners. Training with both IOTA terminology and simple rules is necessary before simple rules can be introduced into guidelines and daily clinical practice.
分析未经培训的检查者(不熟悉国际卵巢肿瘤分析 (IOTA) 术语或简单的基于超声的规则(简单规则))应用 IOTA 术语和简单规则的能力,并评估非专家与专家之间的一致性水平。
这项前瞻性多中心队列研究纳入了卵巢肿块患者。非专家和专家进行了超声检查。使用 IOTA 命名法记录超声特征,并使用简单规则对肿块进行分类。通过 Fleiss'kappa 和观察者之间的百分比一致性评估观察者间的一致性。
共纳入 50 例连续患者。当非专家使用 IOTA 术语时,我们观察到卵巢肿块描述存在 46 处差异。肿瘤类型经常被错误分类(n=22),导致非专家与专家之间的观察者间一致性较差(kappa=0.39,95%CI 0.244-0.529,一致性百分比=52.0%)。非专家对简单规则的误解观察到 57 次,导致 15 例患者误诊(30%)。非专家简单规则分类肿块为良性、恶性或不确定的一致性仅为中度(kappa=0.50,95%CI 0.300-0.704,一致性百分比=70.0%)。所有 10 个简单规则特征的一致性程度差异很大(kappa 指数范围:-0.08-0.74,一致性百分比 66%-94%)。
尽管简单规则可用于区分良性和恶性附件肿块,但对于未经培训的检查者来说并不那么简单。在将简单规则纳入指南和日常临床实践之前,需要对其进行 IOTA 术语和简单规则的培训。