APHP, Sorbonne Université, Hôpital Tenon, Service de radiologie, 58 avenue Gambetta, 75020, Paris, France.
Institut Universitaire de Cancérologie, Sorbonne Université, Hôpital Tenon, Service de radiologie, 75020, Paris, France.
Eur Radiol. 2021 Dec;31(12):9588-9599. doi: 10.1007/s00330-021-08054-x. Epub 2021 May 26.
To retrospectively review the causes of categorization errors using O-RADS-MRI score and to determine the presumptive causes of these misclassifications.
EURAD database was retrospectively queried to identify misclassified lesions. In this cohort, 1194 evaluable patients with 1502 pelvic masses (277 malignant / 1225 benign lesions) underwent standardized MRI to characterize adnexal masses with histology or 2 years' follow-up as a reference standard. An expert radiologist reviewed cases with two junior radiologists and lesions termed misclassified if malignant lesion was scored ≤ 3, a benign lesion was scored ≥ 4, the site of origin was incorrect, or a non-adnexal mass was incorrectly categorized as benign or malignant.
There were 139 / 1502 (9.2%) misclassified masses in 116 women including 109 adnexal and 30 non-adnexal masses. False-negative cases corresponded to 16 borderline or invasive malignant adnexal masses rated score ≤ 3 (16 / 139, 11.5%). False-positive cases corresponded to 88 benign masses were rated score 4 (67 / 139, 48.2%) or 5 (18 / 139,12.9%) or considered suspicious non-adnexal lesions (3 / 139, 2.2%). Misclassifications were only due to origin error in 12 adnexal masses (8 benign, 4 malignant) (8.6%, 12 / 139) and 23 non-adnexal masses (18 benign, 5 malignant,16.5%, 23 / 139) perceived respectively as non-adnexal and adnexal masses. Interpretive error (n = 104), failure to recognize technical insufficient exams (n = 9), and perceptual errors (n = 4) were found. Most interpretive was due to misinterpretation of solid tissue or incorrect assignment of mass origin. Eighty-four out of 139 cases were correctly reclassified by the readers with strict adherence to the score rules.
Most errors were due to misinterpretation of solid tissue or incorrect assignment of mass origin.
• Prospective assignment of O-RADS-MRI score resulted in misclassification of 9.25% of sonographically indeterminate pelvic masses. • Most errors were interpretive (74.8%) due to misinterpretation of solid tissue as defined by the lexicon or incorrect assignment of mass origin. • Pelvic inflammatory disease is a common source of misclassification (8.9%) (12 / 139).
回顾使用 O-RADS-MRI 评分进行分类错误的原因,并确定这些分类错误的假定原因。
回顾性检索 EURAD 数据库以确定分类错误的病变。在该队列中,对 1194 例可评估患者的 1502 个盆腔肿块(277 个恶性/1225 个良性病变)进行了标准化 MRI 检查,以组织学特征或 2 年随访为参考标准来描述附件肿块。一名专家放射科医生与两名初级放射科医生一起对病例进行了复查,如果恶性病变的评分≤3,良性病变的评分≥4,起源部位不正确,或者非附件肿块被错误地归类为良性或恶性,则将病变定义为分类错误。
在 116 名女性中,有 139/1502 个(9.2%)肿块分类错误,其中 109 个为附件肿块,30 个为非附件肿块。假阴性病例对应 16 个评分≤3 的交界性或浸润性恶性附件肿块(16/139,11.5%)。假阳性病例对应 88 个良性肿块评分 4(67/139,48.2%)或 5(18/139,12.9%)或被认为是可疑的非附件病变(3/139,2.2%)。只有 12 个附件肿块(8 个良性,4 个恶性)(8.6%,12/139)和 23 个非附件肿块(18 个良性,5 个恶性,16.5%,23/139)的分类错误仅归因于起源错误,分别被误认为是非附件和附件肿块。发现了 104 例解释性错误(n=139)、9 例未能识别技术不足的检查(n=9)和 4 例感知错误(n=4)。在严格遵守评分规则的情况下,有 84 例/139 例可正确重新分类。
大多数错误归因于实性组织的错误解释或肿块起源的错误分配。
前瞻性分配 O-RADS-MRI 评分导致 9.25%的超声不确定盆腔肿块分类错误。
大多数错误是解释性的(74.8%),归因于根据词汇表错误地解释实性组织或错误地分配肿块起源。
盆腔炎是分类错误的常见原因(8.9%)(12/139)。