A novel low-profile self-expanding epidural lead array system that is fully collapsible, deployable, and retrievable

This novel SCS design effectively prevents device dislocation and migration showing great wall apposition while providing a larger surface area for pain management. These results support its potential as a next-generation platform for effective chronic pain management.

Authors

Institutions

Publication Details

Journal
Pain Medicine
Published
2025-09-03
DOI
https://doi.org/10.1093/pm/pnaf124
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel low-profile self-expanding epidural lead array system that is fully collapsible, deployable, and retrievable

Jung‐Kun Lee, Trent Emerick, Youngsoo Jung, Hassan Beheshti Seresht et al.
Pain Medicine
Advanced Materials and Mechanics
article

A novel low-profile self-expanding epidural lead array system that is fully collapsible, deployable, and retrievable

Jung‐Kun Lee, Trent Emerick, Youngsoo Jung, Hassan Beheshti Seresht, Youngjae Chun, Gaurav Chauhan, Mohamed S. Ibrahim
article en

Abstract

This novel SCS design effectively prevents device dislocation and migration showing great wall apposition while providing a larger surface area for pain management. These results support its potential as a next-generation platform for effective chronic pain management.

Pain MedicineVol. 27(3)
University of Pittsburgh (US), University of Pittsburgh Medical Center (US), McGowan Institute for Regenerative Medicine (US)
Openalex Percentile: Top 76%
Advanced Materials and Mechanics
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.