Variations in the branching pattern of the internal iliac artery and its implications in trauma and surgery – a South Indian cadaveric study

The study showed a high rate of occurrence of variant IIA branching patterns. Understanding the anatomical variations of the IIA and its branches is essential to minimize intraoperative blood loss and other complications during pelvic surgeries.

Authors

Institutions

Publication Details

Journal
Jornal Vascular Brasileiro
Published
2025-01-01
DOI
https://doi.org/10.1590/1677-5449.202400752
Primary Topic
Pelvic and Acetabular Injuries
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variations in the branching pattern of the internal iliac artery and its implications in trauma and surgery – a South Indian cadaveric study

Ashwini P Aithal, Surekha D Shetty, Satheesha Nayak Badagabettu
Jornal Vascular Brasileiro
Pelvic and Acetabular Injuries
article

Variations in the branching pattern of the internal iliac artery and its implications in trauma and surgery – a South Indian cadaveric study

Ashwini P Aithal, Surekha D Shetty, Satheesha Nayak Badagabettu
article en

Abstract

The study showed a high rate of occurrence of variant IIA branching patterns. Understanding the anatomical variations of the IIA and its branches is essential to minimize intraoperative blood loss and other complications during pelvic surgeries.

Jornal Vascular BrasileiroVol. 24
Manipal Academy of Higher Education (IN)
Good health and well-being
Openalex Percentile: Top 89%
Pelvic and Acetabular Injuries
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.