Gynecologic oncology 2017-04
Sensitivity and negative predictive value for sentinel lymph node biopsy in women with early-stage cervical cancer.   
ABSTRACT
OBJECTIVE
The role of sentinel lymph node (SLN) biopsy alone for staging of early-stage cervical cancer remains controversial. We aimed to determine the validity of this technique in women with early-stage cervical cancer.
METHODS
We retrospectively reviewed women with early-stage cervical cancer who underwent SLN mapping followed by complete pelvic lymphadenectomy as part of initial surgical management from August 1997 through October 2015. All modes of surgical approach were included. Lymphatic mapping was performed using blue dye, technetium-99m sulfur colloid (Tc-99), and/or indocyanine green (ICG). We determined SLN detection rates, sensitivity and negative predictive value.
RESULTS
One hundred eighty-eight patients were included, and 35 (19%) had lymph node metastases. At least one SLN was identified in 170 patients (90%), and bilateral SLNs were identified in 117 patients (62%). The majority of SLNs (83%) were found in the pelvis. There was no difference in detection rates between mapping agents, surgical approach, patients with and without prior conization or between patients with tumors <2cm and ≥2cm. The detection rate for bilateral SLNs was significantly lower in women with body mass index (BMI)>30kg/m than in women with lower BMI (p=0.03). Metastatic disease in sentinel nodes was detected by H&E staining in 78% of cases and required ultrastaging/immunohistochemistry in 22% of cases. Only one patient had a false-negative result, yielding a sensitivity of 96.4% (95% CI 79.8%-99.8%) and negative predictive value of 99.3% (95% CI 95.6%-100%). The false-negative rate was 3.6%.
CONCLUSIONS
In these women with early-stage cervical cancer, SLN biopsy had very high sensitivity and negative predictive value. We believe it is time to change the standard of care for women with early-stage cervical cancer to SLN biopsy only.

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Currently 7 weeks pregnant, diagnosis based on CKC