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Proceedings Paper

Vena cava filters and thrombolytic therapeutic monitoring based on functional near-infrared spectroscopy for deep vein thrombosis
Author(s): Boan Pan; Weichao Liu; Xiang Fang; Ke Zhao; Ting Li
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Paper Abstract

Deep vein thrombosis (DVT), happening in inpatients usually and especially with the postoperative population, is a serious disease characterized by an increased incidence. The venography is the golden standard to diagnose DVT. However, it involves invasive contrast agent injection and give patients physical and mental pressure. Functional nearinfrared spectroscopy (fNIRS) has been reported recently to diagnose DVT. Thrombolytic therapy activates the dissolution system with an exogenous activator that dissolves coronary thrombosis. The vena cava filter is a medical filter used for the treatment of thrombosis and the prevention of pulmonary embolism. Here we attempt to use portable NIRS for the DVT monitoring in the whole process of vena cava filter implantation and thrombolytic treatment, and contrast the patients of untreated, vena cava filter implantation and thrombolytic treatment. 19 DVT patients and 12 normal subjects were recruited. Thereinto, 7 patients have taken vena cava filter implantation, and 6 patients have taken the thrombolytic treatment. It was found that deoxyhemoglobins (Δ[Hb]) fluctuates and even increases in DVT. After vena cava filter implantation, Δ[Hb] increases first, then decreases. However, it emerges the rising trend and converge to the curves of normal subjects in thrombolytic treatment. The oxyhemoglobins (Δ[HbO2]) emerges opposite trend in most paradigms. The findings reveal the potential of fNIRS for monitoring DVT and therapeutic effect evaluation of thrombolysis and vena cava filters.

Paper Details

Date Published: 12 February 2018
PDF: 6 pages
Proc. SPIE 10484, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI, 104840V (12 February 2018); doi: 10.1117/12.2288723
Show Author Affiliations
Boan Pan, Univ. of Electronic Science and Technology of China (China)
Institute of Biomedical Engineering (China)
Peking Union Medical College (China)
Weichao Liu, Institute of Biomedical Engineering (China)
Peking Union Medical College (China)
Xiang Fang, Institute of Biomedical Engineering (China)
Peking Union Medical College (China)
Ke Zhao, Univ. of Electronic Science and Technology of China (China)
Institute of Biomedical Engineering (China)
Peking Union Medical College (China)
Ting Li, Institute of Biomedical Engineering (China)
Peking Union Medical College (China)


Published in SPIE Proceedings Vol. 10484:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI
Tuan Vo-Dinh; Anita Mahadevan-Jansen; Warren S. Grundfest, Editor(s)

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