Investigation of the hyperperfusion phenomenon following carotid artery stenting using preoperative computed tomography perfusion imaging

This study evaluated the predictive value of preoperative CTP using the Bayesian estimation method for identifying HPP risk after CAS. CBV ratio may serve as a potential parameter for predicting HPP.

Authors

Institutions

Publication Details

Journal
Acta Neurochirurgica
Published
2025-05-26
DOI
https://doi.org/10.1007/s00701-025-06545-0
Citations
1
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of the hyperperfusion phenomenon following carotid artery stenting using preoperative computed tomography perfusion imaging

Hiroyuki Yamamoto, Masataka Nanto, Daisuke Maruyama, Naoya Hashimoto
1 citations
Acta Neurochirurgica
Cerebrovascular and Carotid Artery Diseases
1.52
article

Investigation of the hyperperfusion phenomenon following carotid artery stenting using preoperative computed tomography perfusion imaging

Hiroyuki Yamamoto, Masataka Nanto, Daisuke Maruyama, Naoya Hashimoto
article en
1 citations

Abstract

This study evaluated the predictive value of preoperative CTP using the Bayesian estimation method for identifying HPP risk after CAS. CBV ratio may serve as a potential parameter for predicting HPP.

Acta NeurochirurgicaVol. 167(1)
Kyoto Prefectural University of Medicine (JP)
Good health and well-being
Openalex Percentile: Top 18%
Cerebrovascular and Carotid Artery Diseases
1.52
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.