Laughlin-Tommaso Shannon K, Hesley Gina K, Hopkins Matthew R, Brandt Kathleen R, Zhu Yunxiao, Stewart Elizabeth A
Division of Gynecology, Department of Obstetrics & Gynecology, Mayo Clinic, Rochester, MN, USA.
Department of Surgery, Mayo Clinic, Rochester, MN, USA.
Int J Gynaecol Obstet. 2017 Nov;139(2):143-148. doi: 10.1002/ijgo.12266. Epub 2017 Aug 14.
To determine the reproducibility of classifying uterine fibroids using the 2011 International Federation of Gynecology and Obstetrics (FIGO) staging system.
The present retrospective cohort study included patients presenting for the treatment of symptomatic uterine fibroids at the Gynecology Fibroid Clinic at Mayo Clinic, Rochester, USA, between April 1, 2013 and April 1, 2014. Magnetic resonance imaging of fibroid uteri was performed and the images were independently reviewed by two academic gynecologists and two radiologists specializing in fibroid care. Fibroid classifications assigned by each physician were compared and the significance of the variations was graded by whether they would affect surgical planning.
There were 42 fibroids from 23 patients; only 6 (14%) fibroids had unanimous classification agreement. The majority (36 [86%]) had at least two unique answers and 4 (10%) fibroids had four unique classifications. Variations in classification were not associated with physician specialty. More than one-third of the classification discrepancies would have impacted surgical planning.
FIGO fibroid classification was not consistent among four fibroid specialists. The variation was clinically significant for 36% of the fibroids. Additional validation of the FIGO fibroid classification system is needed.
确定使用2011年国际妇产科联合会(FIGO)分期系统对子宫肌瘤进行分类的可重复性。
本回顾性队列研究纳入了2013年4月1日至2014年4月1日期间在美国罗切斯特梅奥诊所妇科肌瘤门诊因有症状的子宫肌瘤前来治疗的患者。对子宫肌瘤进行了磁共振成像检查,图像由两位学术妇科医生和两位专门从事肌瘤治疗的放射科医生独立评估。比较每位医生给出的肌瘤分类,并根据分类差异是否会影响手术规划对差异的显著性进行分级。
23例患者有42个肌瘤;只有6个(14%)肌瘤有一致的分类结果。大多数(36个[86%])至少有两种不同的分类结果,4个(10%)肌瘤有四种不同的分类。分类差异与医生的专业无关。超过三分之一的分类差异会影响手术规划。
FIGO肌瘤分类在四位肌瘤专家之间不一致。36%的肌瘤分类差异具有临床显著性。FIGO肌瘤分类系统需要进一步验证。