ArticleBrain sciences2022
Intraoperative Cerebral Hemodynamic Monitoring during Carotid Endarterectomy via Diffuse Correlation Spectroscopy and Near-Infrared Spectroscopy.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05941494 (Cerebral Hemodynamic and Metabolic Responses to Anesthesia and Vasopressors in Adult Surgery), which is not on this map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Cerebral Hemodynamic and Metabolic Responses to Anesthesia and Vasopressors in Adult Surgery: A 2x2 Factorial Design Randomized Controlled Trial With Light-based Neuromonitoring (CHEM-FACT Study)
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Noninvasive estimation of superficial layer thickness using multi-channel diffuse correlation spectroscopy.Biomedical optics express · 2025Article
- Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements.Journal of biomedical optics · 2025Article
- Preliminary experience with diffuse correlation spectroscopy in acute ischemic stroke neurointerventional procedures.Journal of neurointerventional surgery · 2024Article
- Measuring pulsatile cortical blood flow and volume during carotid endarterectomy.Biomedical optics express · 2024Article
- Near-Infrared Spectroscopy-Guided, Individualized Arterial Blood Pressure Management for Carotid Endarterectomy under General Anesthesia: A Randomized, Controlled Trial.Journal of clinical medicine · 2023Article
- Portable, high speed blood flow measurements enabled by long wavelength, interferometric diffuse correlation spectroscopy (LW-iDCS).Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 3 countries.
Funding
Abstract
Objective: This pilot study aims to show the feasibility of noninvasive and real-time cerebral hemodynamic monitoring during carotid endarterectomy (CEA) via diffuse correlation spectroscopy (DCS) and near-infrared spectroscopy (NIRS). Methods: Cerebral blood flow index (CBFi) was measured unilaterally in seven patients and bilaterally in seventeen patients via DCS. In fourteen patients, hemoglobin oxygenation changes were measured bilaterally and simultaneously via NIRS. Cerebral autoregulation (CAR) and cerebrovascular resistance (CVR) were estimated using CBFi and arterial blood pressure data. Further, compensatory responses to the ipsilateral hemisphere were investigated at different contralateral stenosis levels. Results: Clamping of carotid arteries caused a sharp increase of CVR (~70%) and a marked decrease of ipsilateral CBFi (57%). From the initial drop, we observed partial recovery in CBFi, an increase of blood volume, and a reduction in CVR in the ipsilateral hemisphere. There were no significant changes in compensatory responses between different contralateral stenosis levels as CAR was intact in both hemispheres throughout the CEA phase. A comparison between hemispheric CBFi showed lower ipsilateral levels during the CEA and post-CEA phases (p < 0.001, 0.03). Conclusion: DCS alone or combined with NIRS is a useful monitoring technique for real-time assessment of cerebral hemodynamic changes and allows individualized strategies to improve cerebral perfusion during CEA by identifying different hemodynamic metrics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.