Salvage Radical Hysterectomy for Recurrent Cervical Cancer in a Previously Irradiated Field Using the hinotori™ Surgical Robot System: A Case Report

Salvage radical hysterectomy for recurrent cervical cancer within a previously irradiated field is technically demanding due to radiation-induced fibrosis and adhesions. Robot-assisted surgery may offer advantages over open surgery, including enhanced three-dimensional visualization, improved ergonomics, and tremor filtration, potentially enabling safer and more precise dissection in fibrotic tissue planes. However, to date, evidence in the recurrent setting remains limited and has been reported exclusively with the da Vinci® Surgical System (Intuitive Surgical, Sunnyvale, California, United States). In this report, we describe a case of salvage radical hysterectomy performed with the hinotori™ Surgical Robot System (Medicaroid Corporation, Kobe, Japan) in a 60-year-old woman with locally recurrent cervical cancer in a previously irradiated field. Despite the technical difficulties associated with operating in a previously irradiated field with radiation-related fibrosis, the recurrent cervical tumor was completely resected without intraoperative or postoperative complications. This case demonstrates the potential feasibility and safety of hinotori-assisted salvage radical hysterectomy for complex procedures in irradiated fields and warrants further evaluation in larger series.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-11-08
DOI
https://doi.org/10.7759/cureus.96395
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Salvage Radical Hysterectomy for Recurrent Cervical Cancer in a Previously Irradiated Field Using the hinotori™ Surgical Robot System: A Case Report

Yu Wakimoto, Hiroshi Tsubamoto, Naoko Komura, Seiji Mabuchi et al.
Cureus
Endometrial and Cervical Cancer Treatments
article

Salvage Radical Hysterectomy for Recurrent Cervical Cancer in a Previously Irradiated Field Using the hinotori™ Surgical Robot System: A Case Report

Yu Wakimoto, Hiroshi Tsubamoto, Naoko Komura, Seiji Mabuchi, Tomoko Ueda
article en

Abstract

Salvage radical hysterectomy for recurrent cervical cancer within a previously irradiated field is technically demanding due to radiation-induced fibrosis and adhesions. Robot-assisted surgery may offer advantages over open surgery, including enhanced three-dimensional visualization, improved ergonomics, and tremor filtration, potentially enabling safer and more precise dissection in fibrotic tissue planes. However, to date, evidence in the recurrent setting remains limited and has been reported exclusively with the da Vinci® Surgical System (Intuitive Surgical, Sunnyvale, California, United States). In this report, we describe a case of salvage radical hysterectomy performed with the hinotori™ Surgical Robot System (Medicaroid Corporation, Kobe, Japan) in a 60-year-old woman with locally recurrent cervical cancer in a previously irradiated field. Despite the technical difficulties associated with operating in a previously irradiated field with radiation-related fibrosis, the recurrent cervical tumor was completely resected without intraoperative or postoperative complications. This case demonstrates the potential feasibility and safety of hinotori-assisted salvage radical hysterectomy for complex procedures in irradiated fields and warrants further evaluation in larger series.

CureusVol. 17(11)
Hyogo Medical University (JP), Takarazuka City Hospital (JP)
Openalex Percentile: Top 58%
Endometrial and Cervical Cancer Treatments
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.