Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Centre of Obstetrics and Gynecology, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Medicina (Kaunas). 2021 Jul 13;57(7):708. doi: 10.3390/medicina57070708.
: An expert's subjective assessment is still the most reliable evaluation of adnexal pathology, thus raising the need for methods less dependent on the examiner's experience. The aim of this study was to evaluate the performance of standardized methods when applied by examiners with different levels of experience and to suggest the most suitable method for less-experienced gynecologists. : This single-center retrospective study included 50 cases of histologically proven first-time benign or malignant adnexal pathology. Three examiners evaluated the same transvaginal ultrasound images: an expert (level III), a 4th year resident in gynecology (level I), and a final year medical student after basic training (labeled as level 0). The assessment methods included subjective evaluation, Simple Rules (SR) with and without algorithm, ADNEX and Gynecologic Imaging Reporting and Data System (GI-RADS) models. Sensitivity, specificity, accuracy, positive and negative predictive values with 95% confidence interval were calculated. : Out of 50 cases, 33 (66%) were benign and 17 (34%) were malignant adnexal masses. Using only SR, level III could classify 48 (96%), level I-41 (82%) and level 0-40 (80%) adnexal lesions. Using SR and algorithm, the performance improved the most for all levels and yielded sensitivity and specificity of 100% for level III, 100% and 97% for level I, 94.4% and 100% for level 0, respectively. Compared to subjective assessment, ADNEX lowered the accuracy of level III evaluation from 97.9% to 88% and GI-RADS had no impact. ADNEX and GI-RADS improved the sensitivity up to 100% for the less experienced; however, the specificity and accuracy were notably decreased. : SR and SR+ algorithm have the most potential to improve not only sensitivity, but also specificity and accuracy, irrespective of the experience level. ADNEX and GI-RADS can yield sensitivity of 100%; however, the accuracy is decreased.
: 专家的主观评估仍然是附件病理最可靠的评估方法,因此需要依赖经验较少的方法。本研究旨在评估不同经验水平的检查者应用标准化方法的性能,并为经验较少的妇科医生推荐最合适的方法。: 这项单中心回顾性研究纳入了 50 例经组织学证实的首次良性或恶性附件病理。三名检查者评估了相同的经阴道超声图像:一名专家(三级)、一名妇科住院医师(四级)和一名基础培训后的医学生(标记为 0 级)。评估方法包括主观评估、带或不带算法的简单规则(SR)、ADNEX 和妇科影像学报告和数据系统(GI-RADS)模型。计算了敏感性、特异性、准确性、阳性和阴性预测值以及 95%置信区间。: 在 50 例病例中,33 例(66%)为良性附件肿块,17 例(34%)为恶性附件肿块。仅使用 SR,三级可分类 48 个(96%),四级-41 个(82%),0 级-40 个(80%)附件病变。使用 SR 和算法,所有级别都提高了性能,三级的敏感性和特异性均为 100%,四级为 100%和 97%,0 级为 94.4%和 100%。与主观评估相比,ADNEX 降低了三级评估的准确性,从 97.9%降至 88%,而 GI-RADS 没有影响。ADNEX 和 GI-RADS 提高了敏感性,达到 100%,但特异性和准确性显著降低。: SR 和 SR+算法具有最大的潜力,不仅可以提高敏感性,还可以提高特异性和准确性,无论经验水平如何。ADNEX 和 GI-RADS 可以达到 100%的敏感性;然而,准确性降低。