Development of a breast reconstruction-specific computational model to predict shoulder function in breast cancer survivors

This work identified muscle moment arm changes for implant-based reconstruction. These models can be used to predict functional outcomes of differing reconstruction surgeries.

Authors

Institutions

Publication Details

Journal
Supportive Care in Cancer
Published
2025-04-16
DOI
https://doi.org/10.1007/s00520-025-09454-1
Citations
1
Primary Topic
Nerve Injury and Rehabilitation
Type
article
Field-Weighted Citation Impact
2.01

Funders

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

Development of a breast reconstruction-specific computational model to predict shoulder function in breast cancer survivors

Maxime Caru, Jared Heitzenrater, Joshua Pataky, Cornelia Graves et al.
1 citations
Supportive Care in Cancer
Nerve Injury and Rehabilitation
2.01
article

Development of a breast reconstruction-specific computational model to predict shoulder function in breast cancer survivors

Maxime Caru, Jared Heitzenrater, Joshua Pataky, Cornelia Graves, Meghan E. Vidt
article en
1 citations

Abstract

This work identified muscle moment arm changes for implant-based reconstruction. These models can be used to predict functional outcomes of differing reconstruction surgeries.

Supportive Care in CancerVol. 33(5)
Pennsylvania State University (US), Penn State Milton S. Hershey Medical Center (US)
University of Pennsylvania, Pennsylvania State University, Penn State College of Medicine
Good health and well-being
Openalex Percentile: Top 17%
Nerve Injury and Rehabilitation
2.01
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.