Non-invasive Assessment of Systolic and Diastolic Cardiac Function During Rest and Stress Conditions Using an Integrated Image-Modeling Approach

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Casas Garcia, BelénLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV (author)

Non-invasive Assessment of Systolic and Diastolic Cardiac Function During Rest and Stress Conditions Using an Integrated Image-Modeling Approach

Article/chapterEnglish2018

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2018-10-30
FRONTIERS MEDIA SA,2018
electronicrdacarrier

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LIBRIS-ID:oai:DiVA.org:liu-152608
https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152608URI
https://doi.org/10.3389/fphys.2018.01515DOI

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Language:English
Summary in:English

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

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Funding Agencies|European Union [310612]; Swedish Research Council [621-2014-6191]; Swedish Heart and Lung Foundation [20140398]
Background: The possibility of non-invasively assessing load-independent parameters characterizing cardiac function is of high clinical value. Typically, these parameters are assessed during resting conditions. However, for diagnostic purposes, the parameter behavior across a physiologically relevant range of heart rate and loads is more relevant than the isolated measurements performed at rest. This study sought to evaluate changes in non-invasive estimations of load-independent parameters of left-ventricular contraction and relaxation patterns at rest and during dobutamine stress. Methods: We applied a previously developed approach that combines non-invasive measurements with a physiologically-based, reduced-order model of the cardiovascular system to provide subject-specific estimates of parameters characterizing left ventricular function. In this model, the contractile state of the heart at each time point along the cardiac cycle is modeled using a time-varying elastance curve. Non-invasive data, including four-dimensional magnetic resonance imaging (4D Flow MRI) measurements, were acquired in nine subjects without a known heart disease at rest and during dobutamine stress. For each of the study subjects, we constructed two personalized models corresponding to the resting and the stress state. Results: Applying the modeling framework, we identified significant increases in the left ventricular contraction rate constant [from 1.5 +/- 0.3 to 2 +/- 0.5 (p = 0.038)] and relaxation constant [from 37.2 +/- 6.9 to 46.1 +/- 12 (p = 0.028)]. In addition, we found a significant decrease in the elastance diastolic time constant from 0.4 +/- 0.04 s to 0.3 +/- 0.03 s = 0.008). Conclusions: The integrated image-modeling approach allows the assessment of cardiovascular function given as model-based parameters. The agreement between the estimated parameter values and previously reported effects of dobutamine demonstrates the potential of the approach to assess advanced metrics of pathophysiology that are otherwise difficult to obtain non-invasively in clinical practice.

Subject headings and genre

MEDICIN OCH HÄLSOVETENSKAP Medicinska och farmaceutiska grundvetenskaper Fysiologi hsv//swe
MEDICAL AND HEALTH SCIENCES Basic Medicine Physiology hsv//eng
computational modeling; phase-contrast magnetic resonance imaging; left ventricle; systolic function; diastolic function; dobutamine

Added entries (persons, corporate bodies, meetings, titles ...)

Viola, FedericaLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten(Swepub:liu)fedvi64 (author)
Cedersund, GunnarLinköpings universitet,Avdelningen för medicinsk teknik,Tekniska fakulteten(Swepub:liu)gunce57 (author)
Bolger, Ann FLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Fysiologiska kliniken US,Univ Calif San Francisco, CA USA(Swepub:liu)annbo80 (author)
Karlsson, MattsLinköpings universitet,Mekanisk värmeteori och strömningslära,Tekniska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV(Swepub:liu)matka16 (author)
Carlhäll, CarljohanLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US(Swepub:liu)carca13 (author)
Ebbers, TinoLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Fysiologiska kliniken US(Swepub:liu)tineb49 (author)
Linköpings universitetAvdelningen för kardiovaskulär medicin (creator_code:org_t)

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