Anatomical Hepatectomy in a Patient with Situs Inversus Totalis and Right-Sided Round Ligament

We successfully performed anatomical hepatectomy in a patient with SIT and RSRL. Normalized imaging and standardization of anatomical terminology within the surgical team are key to ensuring surgical precision, preventing confusion during the operation, and avoiding potentially fatal complications of SIT and RSRL.

Authors

Institutions

Publication Details

Journal
Surgical Case Reports
Published
2025-01-01
DOI
https://doi.org/10.70352/scrj.cr.25-0361
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anatomical Hepatectomy in a Patient with Situs Inversus Totalis and Right-Sided Round Ligament

Koji Ueta, Susumu Miura, Takeo Nomi, Makoto Shinzeki et al.
Surgical Case Reports
Scoliosis diagnosis and treatment
article

Anatomical Hepatectomy in a Patient with Situs Inversus Totalis and Right-Sided Round Ligament

Koji Ueta, Susumu Miura, Takeo Nomi, Makoto Shinzeki, Kaori Tokuhara, Masako Fukushima, Koichi Murata, Kohei Ueda, Yu Asakura
article en

Abstract

We successfully performed anatomical hepatectomy in a patient with SIT and RSRL. Normalized imaging and standardization of anatomical terminology within the surgical team are key to ensuring surgical precision, preventing confusion during the operation, and avoiding potentially fatal complications of SIT and RSRL.

Surgical Case ReportsVol. 11(1)
Saiseikai Nakatsu Hospital (JP)
Openalex Percentile: Top 51%
Scoliosis diagnosis and treatment
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.