Improving the early diagnosis and clinical outcomes of shock patients via laser speckle contrast imaging assessment of peripheral hemodynamics
Year: 2024
Type: article
Study design: Observational Study
Abstract: Summary Shock is defined as a critical circulatory failure that requires prompt diagnosis to optimize patient outcomes. Traditional diagnostic methods have limitations, including contact-based measurements, high costs, and lengthy procedures. The study evaluated the efficacy of laser speckle contrast imaging (LSCI), a noncontact technique, for assessing peripheral hemodynamics in shock patients. Results showed that LSCI accurately captured dynamic changes in blood flow, revealing early indicators of shock. ROI diff and ROI diff/ROI2 values significantly differed between shock patients and healthy controls. Spearman's correlation analysis revealed associations between ROI diff and key physiological parameters, such as blood pressure and heart rate. ROC analysis revealed that ROI diff and ROI diff/ROI2 had strong accuracy (72.5% and 82.5%, respectively) for detecting shock. Additionally, LSCI reduced testing time by over 50%, offering faster assessments. These findings demonstrate the potential of LSCI to improve diagnosis and management of shock, especially in complex clinical environments.
Source: iScience
Authors: Meng-Che Hsieh, Jin-Jia Hu, Yan-Ren Lin, Shih-Yu Li, Pei-You Hsieh, Congo Tak Shing Ching, Lun-De Liao
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,150
Awards: G1491789646, G2338347641, G234831558, G2479791744, Artificial Intelligence Driven Closed-Loop Transcutaneous Vagus Nerve Stimulator Paired with Soft Robotic Hand System in Post Stroke Motor Recovery, Development and Verification of Wearable Electrical Impedance Tomography Imaging Device for Breast Cancer Related Lymphedema, G3439110452, G3817592222, Automated and Intelligent System for Monitoring Swimming Pool Safety Based on the Edge Ai Technique, G5752504603, Revealing the Neuroprotective Effects of Repetitive Transcranial Magnetic Stimulation in the Brain of a Rat Model of Type 2 Diabetes Using Ecog-Lsci, G7368530592
OpenAlex ID: W4404033235
