Department of Gynecologic Oncology, Gemelli Molise SpA, Campobasso, Italy.
Division of Gynecologic Oncology, Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Gynecol Oncol. 2022 May;165(2):215-222. doi: 10.1016/j.ygyno.2022.03.003. Epub 2022 Mar 18.
Conflicting data exists on the impact of Body Mass Index (BMI) on sentinel lymph-node (SLN) detection. The primary study endpoint was to investigate the impact of obesity on overall detection rate, bilateral mapping, and mapping failure rate of SLN. In addition, we evaluated possible differences in terms of surgical management and "empty-packet dissection" rate among obese and non-obese patients.
Multicenter, propensity-matched, retrospective study. Patients with apparent early-stage endometrial cancer were included. Study population was divided into women with BMI </≥ 30 (Group-1 and Group-2). To lower the selection bias, a propensity-matched analysis was performed. Matching was based on histotype (endometrioid vs non-endometrioid), age (</≥65 years old), and presence of lymph-vascular space invasion.
Eight-hundred forty-four women were enrolled. After a 1:1 propensity-matched analysis, 764 patients were identified (Group-1 n = 382, Group-2 n = 382). A 1.156-fold increase in the risk of mapping failure for every 5 units of BMI increase was found (OR 1.156, 95% CI 1.033-1.294, p = 0.012), with a consequently decrease in bilateral mapping and overall detection rate (respectively OR 0.865, 95% CI 0.773-0.968, p = 0.012 and OR 0.785, 95% CI 0.670-0.920, p = 0.003). Obese patients were surgically under-staged in 9.4% of cases and showed an 8.2% of empty packet dissection (surgical under-staging: 5.0% vs 9.4%, p = 0.017; empty-packet dissection: 3.9% vs 8.2%, p = 0.022).
BMI was confirmed as a statistically relevant predictor of mapping failure and decreased overall detection rate. In addition, obese women had a significantly higher odds of empty packet dissection.
关于体重指数(BMI)对前哨淋巴结(SLN)检测的影响,存在相互矛盾的数据。主要研究终点是研究肥胖对 SLN 总体检测率、双侧绘图和绘图失败率的影响。此外,我们还评估了肥胖和非肥胖患者在手术管理和“空包解剖”率方面可能存在的差异。
多中心、倾向匹配、回顾性研究。纳入有明显早期子宫内膜癌的患者。研究人群分为 BMI </≥ 30 的女性(组 1 和组 2)。为了降低选择偏倚,进行了倾向匹配分析。匹配基于组织学类型(子宫内膜样与非子宫内膜样)、年龄(</≥65 岁)和淋巴管血管间隙侵犯。
共纳入 844 名女性。在 1:1 倾向匹配分析后,共确定了 764 名患者(组 1 n = 382,组 2 n = 382)。发现 BMI 每增加 5 个单位,SLN 绘图失败的风险增加 1.156 倍(OR 1.156,95%CI 1.033-1.294,p = 0.012),双侧绘图和总体检测率相应降低(分别为 OR 0.865,95%CI 0.773-0.968,p = 0.012 和 OR 0.785,95%CI 0.670-0.920,p = 0.003)。肥胖患者手术分期不足的比例为 9.4%,空包解剖的比例为 8.2%(手术分期不足:5.0%比 9.4%,p = 0.017;空包解剖:3.9%比 8.2%,p = 0.022)。
BMI 被确认为 SLN 绘图失败和总体检测率降低的统计学相关预测因子。此外,肥胖女性空包解剖的几率明显更高。