Tanner Edward, Puechl Allison, Levinson Kimberly, Havrilesky Laura J, Sinno Abdulrahman, Secord Angeles Alvarez, Fader Amanda N, Lee Paula S
The Kelly Gynecologic Oncology Service, Department of Gynecology and Obstetrics, Johns Hopkins Hospital, Baltimore, MD, United States.
Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Duke Cancer Institute, Durham, NC, United States.
Gynecol Oncol. 2017 Dec;147(3):535-540. doi: 10.1016/j.ygyno.2017.10.020. Epub 2017 Oct 19.
To evaluate the capability of a novel sentinel lymph node (SLN) mapping algorithm to reduce the need for pelvic lymphadenectomy (PLND) in patients with low-grade (G1-2) endometrial cancer (LGEC).
Patients with LGEC underwent evaluation according to a novel lymphatic assessment algorithm during hysterectomy with SLN biopsy at two academic gynecologic oncology programs. Side-specific PLND was only performed if ipsilateral SLN mapping failed and high-risk uterine features were identified on frozen section (FS). Side-specific and PLND rates were compared to theoretical PLND rates based on the NCCN EC SLN mapping algorithm.
Since 11/2015, 113 LGEC patients have been managed according to the algorithm. SLN mapping was bilateral (81%), unilateral (12%), or neither (6%). Nine patients (8.0%) had LN metastases identified. Of the 21 patients requiring intraoperative FS due to failed SLN mapping, high-risk uterine features were identified in eight (38%). These patients underwent either bilateral (2) or unilateral (6) PLND. Side-specific and overall PLND rates were 5.3% and 7.1%, respectively. If all patients with failed mapping had undergone PLND according to the NCCN algorithm, side-specific and overall PLND rates would have been higher, 12.4% and 18.6%, respectively (P=0.01). All patients who failed to map and did not undergo side-specific PLND had low-risk uterine features on final pathology.
Lymphatic assessment using SLN mapping followed by selective FS to determine need for PLND is feasible. When compared to the NCCN algorithm, this novel "Reflex Frozen Section" strategy eliminates PLND in patients at lowest risk for metastasis without compromising identification of metastatic nodal disease.
评估一种新型前哨淋巴结(SLN)定位算法在降低低级别(G1-2)子宫内膜癌(LGEC)患者盆腔淋巴结清扫术(PLND)需求方面的能力。
在两个学术性妇科肿瘤项目中,LGEC患者在子宫切除术中接受SLN活检时,根据一种新型淋巴评估算法进行评估。仅在同侧SLN定位失败且在冰冻切片(FS)上发现高危子宫特征时才进行侧方特异性PLND。将侧方特异性和PLND率与基于NCCN EC SLN定位算法的理论PLND率进行比较。
自2015年11月以来,113例LGEC患者按照该算法进行了治疗。SLN定位为双侧(81%)、单侧(12%)或均未定位成功(6%)。9例患者(8.0%)被发现有淋巴结转移。在21例因SLN定位失败而需要术中FS的患者中,8例(38%)发现了高危子宫特征。这些患者接受了双侧(2例)或单侧(6例)PLND。侧方特异性和总体PLND率分别为5.3%和7.1%。如果所有定位失败的患者都按照NCCN算法进行PLND,侧方特异性和总体PLND率将会更高,分别为12.4%和18.6%(P = 0.01)。所有定位失败且未接受侧方特异性PLND的患者在最终病理检查中均具有低危子宫特征。
使用SLN定位进行淋巴评估,随后进行选择性FS以确定是否需要PLND是可行的。与NCCN算法相比,这种新型的“反射性冰冻切片”策略可在不影响转移淋巴结疾病识别的情况下,消除转移风险最低的患者的PLND。