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Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa.

Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa. Research Abstract Details 

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  • Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa. Abstract Text:

    s chad kanickS Chad Kanick,sundeep kasiSundeep Kasi,j douglas swartsJ Douglas Swarts,julianne banksJulianne Banks,sancak yukselSancak Yuksel,william j doyleWilliam J Doyle,

    CONCLUSION: These results hold promise that morphometric analysis can be used to generate transMEM (middle ear mucosa) gas conductance estimates for MEM geometries representative of the shift from healthy to pathologic states (e.g. increased MEM thickness and capillary density). OBJECTIVES: Novel strategies to treat otitis media with effusion require a better understanding of how MEM geometry affects gas transport. Earlier studies developed techniques to empirically measure transMEM gas conductance and to estimate conductance using morphometric models of MEM geometry. We used chinchillas to determine the correspondence between experimentally measured transMEM CO2 conductance and that predicted by morphometric study of the MEM. MATERIALS AND METHODS: TransMEM CO2 conductance was measured unilaterally in 10 chinchillas; the animals were killed and the ME was removed and processed for morphometric analyses of MEM geometry. RESULTS: The average measured and estimated transMEM CO2 conductances were 4.87+/-2.30 x 10-10 and 1.75+/-0.29 x 10-10 mol/s/mmHg, respectively. The magnitude and direction of the estimate error were similar for all ears, suggesting a fixed, negative bias to the estimate. A theoretically consistent source for this bias was identified as the representation of the true diffusional length within a 3-D geometry using a 2-D modeling platform. Best estimate correction for this effect based on available data significantly reduced the estimate bias.

    Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa. Publishing Authors By Initials

    s chad kanickS Chad Kanick,s kasiS Kasi,j douglas swartsJ Douglas Swarts,j banksJ Banks,s yukselS Yuksel,wj doyleWJ Doyle,

    For similar natural sciences: physics: pressure: partial pressure research abstracts see: natural sciences: physics: pressure: partial pressure research

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    Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Acta oto-laryngologica

    VOLUME: 126

    Page Numbers: 1252-9

    Journal Abbreviation: Acta Otolaryngol.

    ISSN: 0001-6489

    DAY: 3

    MONTH: Dec

    YEAR: 2006

    Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 370354

    Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa. Keywords Mesh Terms:

    KEYWORDS: Partial Pressure

    MESH TERMS: physiology

    Chemical & Substance for Abstract: Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa. Information

    Substance Name: Carbon Dioxide

    Registry Number: 124-38-9

    Grant and Affiliation Information for Accuracy of CO2 conductance predicted using a morphometric model of the middle ear mucosa.

    AFFILIATION: Division of Pediatric Otolaryngology, Children's Hospital of Pittsburgh, Department of Chemical Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.

    Country: Norway

    Norway Research PublicationNorway Research Publication

    AGENCY: United States NIDCD

    GRANT: DC01260

    ACRONYM: DC

    MEDLINETA: Acta Otolaryngol

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