Numerical model of deep venous thrombosis detection using venous occlusion strain gauge plethysmography

IC Turner, MA McNally, BM O'Connell, EA Cooke, George Kernohan, RAB Mollan

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Strain gauge plethysmography (SGP) is a non-invasive method used in the detection of deep venous thrombosis (DVT). The technique is based on the measurement of calf volume changes in response to venous occlusion by a thigh cuff, the volume changes reflecting the rates of arterial inflow and venous outflow A numerical model of the blood circulation within the limb and the response of this to a SGP test has been derived, based on treating the different parts of the circulatory system in the leg as resistance and capacitance elements. The simulation results were compared with clinical studies and support the ability of SGP to defect nonocclusive clots of more than 50-60% of the lumen, as well detecting calf vein occlusion. The non-linear behaviour of the venous compliance with intra-luminal pressure appears to be a particularly important factor within the model. In addition, increases in venous tone due to post-operative venospasm were shown to be a potential source of false positive results.
LanguageEnglish
Pages348-355
JournalMedical and Biological Engineering and Computing
Volume38
Issue number3
DOIs
Publication statusPublished - May 2000

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Plethysmography
Strain gages
Numerical models
Hemodynamics
Capacitance
Defects

Cite this

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title = "Numerical model of deep venous thrombosis detection using venous occlusion strain gauge plethysmography",
abstract = "Strain gauge plethysmography (SGP) is a non-invasive method used in the detection of deep venous thrombosis (DVT). The technique is based on the measurement of calf volume changes in response to venous occlusion by a thigh cuff, the volume changes reflecting the rates of arterial inflow and venous outflow A numerical model of the blood circulation within the limb and the response of this to a SGP test has been derived, based on treating the different parts of the circulatory system in the leg as resistance and capacitance elements. The simulation results were compared with clinical studies and support the ability of SGP to defect nonocclusive clots of more than 50-60{\%} of the lumen, as well detecting calf vein occlusion. The non-linear behaviour of the venous compliance with intra-luminal pressure appears to be a particularly important factor within the model. In addition, increases in venous tone due to post-operative venospasm were shown to be a potential source of false positive results.",
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Numerical model of deep venous thrombosis detection using venous occlusion strain gauge plethysmography. / Turner, IC; McNally, MA; O'Connell, BM; Cooke, EA; Kernohan, George; Mollan, RAB.

In: Medical and Biological Engineering and Computing, Vol. 38, No. 3, 05.2000, p. 348-355.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Numerical model of deep venous thrombosis detection using venous occlusion strain gauge plethysmography

AU - Turner, IC

AU - McNally, MA

AU - O'Connell, BM

AU - Cooke, EA

AU - Kernohan, George

AU - Mollan, RAB

PY - 2000/5

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AB - Strain gauge plethysmography (SGP) is a non-invasive method used in the detection of deep venous thrombosis (DVT). The technique is based on the measurement of calf volume changes in response to venous occlusion by a thigh cuff, the volume changes reflecting the rates of arterial inflow and venous outflow A numerical model of the blood circulation within the limb and the response of this to a SGP test has been derived, based on treating the different parts of the circulatory system in the leg as resistance and capacitance elements. The simulation results were compared with clinical studies and support the ability of SGP to defect nonocclusive clots of more than 50-60% of the lumen, as well detecting calf vein occlusion. The non-linear behaviour of the venous compliance with intra-luminal pressure appears to be a particularly important factor within the model. In addition, increases in venous tone due to post-operative venospasm were shown to be a potential source of false positive results.

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