Evidence map›Paper›PMID 39963631›Full record

ArticleCureus2025

Enhancing Sentinel Lymph Node Biopsy in Endometrial Cancer Using Augmented and Mixed Reality.

Tsukuru Amano, Yutaka Yoneoka, Yuji Tanaka, Akimasa Takahashi, Shunichiro Tsuji

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tsukuru AmanoObstetrics and Gynecology, Shiga University of Medical Science, Shiga, JPN.
Yutaka YoneokaObstetrics and Gynecology, Shiga University of Medical Science, Shiga, JPN.
Yuji TanakaObstetrics and Gynecology, Shiga University of Medical Science, Shiga, JPN.
Akimasa TakahashiObstetrics and Gynecology, Shiga University of Medical Science, Shiga, JPN.
Shunichiro TsujiObstetrics and Gynecology, Shiga University of Medical Science, Shiga, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sentinel lymph node biopsy offers a less invasive alternative to full lymphadenectomy in endometrial cancer, reducing complications while maintaining diagnostic accuracy. This case report highlights the integration of holography and augmented reality (AR) in a 34-year-old woman undergoing robotic-assisted surgery for endometrial cancer. Preoperative imaging combined with single-photon emission computed tomography and computed tomography identified sentinel lymph nodes, which were visualized using mixed reality (MR) technology. This approach enabled the surgical team to accurately understand the three-dimensional spatial relationships between lymph nodes and surrounding critical structures. Holographic projections provided precise guidance during surgery, improving lymph node identification and minimizing invasiveness. No lymph node metastasis was detected, but a diagnosis of the International Federation of Gynecology and Obstetrics (FIGO) stage IIIA was confirmed due to tumor seeding in the peritoneum. The patient underwent successful adjuvant chemotherapy with no recurrence observed. This report demonstrates the significant potential of holography and AR to enhance spatial awareness and surgical precision. These technologies represent a promising advancement in sentinel lymph node biopsy for patients with gynecologic cancers, contributing to reduced surgical invasiveness and alleviating stress for surgeons.

Indexed as

augmented realityendometrial cancerholographyrobotic-assisted surgerysentinel lymph node biopsy

Identifiers

PMID39963631
PMCPMC11830575

What OpenQuestion holds

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Registered trials

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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.