Feasibility of 3D vascular reconstruction for preoperative planning in robotic living donor nephrectomy: a retrospective pilot study

3D reconstructions have the potential to support and refine preoperative planning in robotic donor nephrectomy by enhancing anatomical visualization. However, their clinical benefit should be further validated in prospective studies.

Authors

Institutions

Publication Details

Journal
Frontiers in Surgery
Published
2026-02-19
DOI
https://doi.org/10.3389/fsurg.2026.1690717
Primary Topic
Renal and Vascular Pathologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Feasibility of 3D vascular reconstruction for preoperative planning in robotic living donor nephrectomy: a retrospective pilot study

Andri Lederer, Robert Sucher, Beatrice Lukenaite, Antonia Geisler et al.
Frontiers in Surgery
Renal and Vascular Pathologies
article

Feasibility of 3D vascular reconstruction for preoperative planning in robotic living donor nephrectomy: a retrospective pilot study

Andri Lederer, Robert Sucher, Beatrice Lukenaite, Antonia Geisler, Robert Karitnig, Mohamed El-Mahrouk, Todor Stoyanov, Saulius Mikalauskas
article en

Abstract

3D reconstructions have the potential to support and refine preoperative planning in robotic donor nephrectomy by enhancing anatomical visualization. However, their clinical benefit should be further validated in prospective studies.

Frontiers in SurgeryVol. 13
Medical University of Graz (AT)
Openalex Percentile: Top 50%
Renal and Vascular Pathologies
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.