Robotic dual-docking surgery for para-aortic lymphadenectomy in endometrial cancer: a prospective feasibility study

Dual-docking surgery for endometrial cancer has the potential to be a standard procedure for robotic endometrial cancer surgery, although a greater number of cases are needed to acquire proficiency.

Authors

Institutions

Publication Details

Journal
International Journal of Clinical Oncology
Published
2024-12-21
DOI
https://doi.org/10.1007/s10147-024-02635-8
Citations
6
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
3.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robotic dual-docking surgery for para-aortic lymphadenectomy in endometrial cancer: a prospective feasibility study

Shintaro Yanazume, Shinichi Togami, Takashi Ushiwaka, Hiroaki Kobayashi et al.
6 citations
International Journal of Clinical Oncology
Endometrial and Cervical Cancer Treatments
3.50
article

Robotic dual-docking surgery for para-aortic lymphadenectomy in endometrial cancer: a prospective feasibility study

Shintaro Yanazume, Shinichi Togami, Takashi Ushiwaka, Hiroaki Kobayashi, Masaki Kamio
article en
6 citations

Abstract

Dual-docking surgery for endometrial cancer has the potential to be a standard procedure for robotic endometrial cancer surgery, although a greater number of cases are needed to acquire proficiency.

International Journal of Clinical OncologyVol. 30(2)
Kagoshima University (JP)
Kagoshima University, Intuitive Surgical
Good health and well-being
Openalex Percentile: Top 7%
Endometrial and Cervical Cancer Treatments
3.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.