Predictive Value of PET/MR Indicators for Early Detection of Ischemic Brain Changes Following carotid artery stenting

Motivation: Aiming to bridge the diagnostic gap in predicting perioperative ischemic lesions post-CAS, crucial for preempting recurrent strokes. Goal(s): To pinpoint predictive markers on DWI for new ischemic brain lesions within 3 days post-CAS. Approach: Employed a retrospective analysis of preoperative PET/MR imaging in 47 CAS patients, correlating with postoperative DWI outcomes. Results: Identification of high PET SUVmax, SCAIL scores, and complex plaques as significant predictors of new ischemic lesions, offering a strategic tool for early high-risk patient detection. Impact: This study aids clinicians in stratifying stroke risk, influencing patient management and treatment tailoring. It opens avenues for precision medicine in stroke prevention and underscores the need for advanced imaging in preoperative assessments.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2316
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Value of PET/MR Indicators for Early Detection of Ischemic Brain Changes Following carotid artery stenting

Senhao Zhang, Jie Lu, Shaozhen Yan
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cerebrovascular and Carotid Artery Diseases
article

Predictive Value of PET/MR Indicators for Early Detection of Ischemic Brain Changes Following carotid artery stenting

Senhao Zhang, Jie Lu, Shaozhen Yan
article en

Abstract

Motivation: Aiming to bridge the diagnostic gap in predicting perioperative ischemic lesions post-CAS, crucial for preempting recurrent strokes. Goal(s): To pinpoint predictive markers on DWI for new ischemic brain lesions within 3 days post-CAS. Approach: Employed a retrospective analysis of preoperative PET/MR imaging in 47 CAS patients, correlating with postoperative DWI outcomes. Results: Identification of high PET SUVmax, SCAIL scores, and complex plaques as significant predictors of new ischemic lesions, offering a strategic tool for early high-risk patient detection. Impact: This study aids clinicians in stratifying stroke risk, influencing patient management and treatment tailoring. It opens avenues for precision medicine in stroke prevention and underscores the need for advanced imaging in preoperative assessments.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 60%
Cerebrovascular and Carotid Artery Diseases
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.

Predictive Value of PET/MR Indicators for Early Detection of Ischemic Brain Changes Following carotid artery stenting — Senhao Zhang, Jie Lu, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS