Cerebral flow estimated from 3D pCASL for prediction of intraoperative blood loss in non-embolized meningiomas: a feasibility study

The normalized CBF and VRTB may serve as promising non-invasive imaging biomarkers to predict IBL and guide meningioma surgery.

Authors

Institutions

Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-04-01
DOI
https://doi.org/10.21037/qims-24-2326
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cerebral flow estimated from 3D pCASL for prediction of intraoperative blood loss in non-embolized meningiomas: a feasibility study

Xinlan Xiao, Yan Xiao, Jiankun Dai, Luxian Lv et al.
Quantitative Imaging in Medicine and Surgery
Traumatic Brain Injury and Neurovascular Disturbances
article

Cerebral flow estimated from 3D pCASL for prediction of intraoperative blood loss in non-embolized meningiomas: a feasibility study

Xinlan Xiao, Yan Xiao, Jiankun Dai, Luxian Lv, Dan Luo, Xinru Deng
article en

Abstract

The normalized CBF and VRTB may serve as promising non-invasive imaging biomarkers to predict IBL and guide meningioma surgery.

Quantitative Imaging in Medicine and SurgeryVol. 15(4)
Nanchang University (CN), Jiangxi Provincial Academy of Medical Sciences (CN), Second Affiliated Hospital of Nanchang University (CN), First Affiliated Hospital of Nanchang University (CN)
Openalex Percentile: Top 90%
Traumatic Brain Injury and Neurovascular Disturbances
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.