Evidence map›Paper›PMID 41331938›Full record

ArticleBMC women's health2025

Sentinel lymph nodes mapping in ovarian cancer- preliminary results from single cancer center study.

Hongxia Wang, Kaiyun Qin, Yu Yu, Jingde Jia, Mario M Leitao, Yueping Liu, Yan Ding, Weijian Chen, Zhengmao Zhang

Abstract read
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Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Hongxia Wang *Department of Gynecology, Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, Hebei, 050011, China.
Kaiyun Qin *Department of Gynecology, Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, Hebei, 050011, China.
Yu YuDepartment of Gynecology, Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, Hebei, 050011, China.
Jingde JiaDepartment of Gynecology, Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, Hebei, 050011, China.
Mario M LeitaoGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY10065, 050051, USA.
Yueping LiuDepartment of Pathology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Yan DingDepartment of Pathology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Weijian ChenDepartment of Sterilization and Supply Room, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China.
Zhengmao ZhangDepartment of Gynecology, Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, Hebei, 050011, China. zhangzhengmao@hbmu.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Hebei Natural Science Foundation H2020206223NCI NIH HHS P30 CA008748Science and Technology Program of Hebei 226Z7719
6 · The paper itself

Abstract

backgroudOvarian cancer is the most fatal of all gynecologic cancers. The need and role of pelvic and para-aortic lymphadenectomy in ovarian cancer patients with clinically normal nodes remains debated.

objectiveTo assess the accuracy of sentinel lymph node (SLN) mapping in patients with ovarian carcinoma.

methodsThis is a single cohort quality improvement study conducted from May 1, 2020 to Dec. 31, 2022 at a single institution. Patients undergoing surgery for newly diagnosed ovarian carcinoma of all stages were eligible. All patients were injected with methylene blue into the bilateral ovarian cortex, uterine horns and infundibulopelvic ligaments by the same surgeon, SLN mapping was performed followed by an immediate back-up systematic pelvic and para-aortic lymphadenectomy. Ultrastaging was performed on all SLNs that were negative on original H&E slides. Descriptive statistics were used.

resultsTwenty-nine patients were enrolled. The overall detection rate of SLN in ovarian cancer was 100%, sensitivity was 85.7%, false negative rate was 14.3%, and negative predictive value was 95.7%. The median number of SLNs removed per patient was 8 (range, 1-20) and the median total of lymph nodes removed was 34 (range, 6-66). SLNs were identified in the supra-mesenteric para-aortic basin in 90 (34%) and in the infra-mesenteric para-aortic basin in 86 (32.5%).

conclusionIn this preliminary study with a small sample size of 29 patients, intraoperative SLN mapping using methylene blue injection demonstrated a high detection rate and promising feasibility and accuracy for identifying lymph node metastases in ovarian cancer.

Indexed as

Ovarian NeoplasmsSentinel Lymph NodeSentinel Lymph Node BiopsyAdultAgedCohort StudiesFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesMethylene BlueMiddle AgedMethylene BlueLymphadenectomyMethylene blueOvarian cancerPathological ultra-stagingSentinel lymph nodes

Identifiers

PMID41331938
PMCPMC12673698

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.