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Current EIT analyses are based on the assumption of a circular thorax-shape and do not provide any information on lung borders. The aim is to obtain the body and lung border contours of male subjects by multi-detector computed tomography (MDCT) in defined thresholds of anthropometric data (gender = male; height; weight) for calibration of more realistic EIT reconstruction models.
A major drawback of EIT is its relatively poor spatial resolution and its limitation in measuring changes in bioimpedance as compared to a reference state (and not absolute quantities). Therefore, the technique cannot differentiate between extrapulmonary structures (muscles, thorax, heart, large vessels, spine, etc.) and non-aerated lung tissues - which is a major limitation for the clinical use of information derived from EIT-imaging. Moreover, current EIT-reconstruction algorithms are based on the consideration of a complete circular thoracic shape and do not take into account the body contours and lung borders.
The investigators are convinced that EIT-derived dynamic bedside lung imaging can be advanced by morphing computed tomography (CT) scans of the respective thoracic levels with concomitant EIT images - thus enhancing EIT-image information with CT-data. Integrating the anatomy of thoracic shape and lung borders provided by high-spatial resolution multi detector CT-scans (MDCT) with high-temporal resolution EIT has the potential to improve image quality considerably. This data can be used to compute mean EIT-reconstruction models that further offer the possibility to develop novel and clinically meaningful EIT parameters.
Therefore, the investigators hypothesize that by integration of CT-scan information of body and lung contours (and by computing different EIT reconstruction models) the current methodological limitations of EIT technology can be overcome.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study cohort 1 | Experimental | "electrical impedance tomography" |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| "electrical impedance tomography" | Device | One continous electrical impedance tomography (EIT) measurement per subject of approximately 5 minutes duration (2 min prior to MDCT scanning, during end-inspiratory MDCT acquisition and 2 min after MDCT scanning) |
| Measure | Description | Time Frame |
|---|---|---|
| Electrical Impedance Tomography Finite Element Model | Based on CT-derived thorax, lung and heart contours we propose to calculate human finite element models (FEM) for EIT analysis | approximately 1 year through study completion |
| Measure | Description | Time Frame |
|---|---|---|
| height | at the time-point of inclusion | |
| weight | at the time-point of inclusion | |
| gender |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Stefan Boehme, MD | Contact | +43 40400 41020 | stefan.boehme@meduniwien.ac.at |
| Name | Affiliation | Role |
|---|---|---|
| Stefan Boehme, MD | Department of General Anesthesia, Intensive Care Medicine and Pain Management, Medical University of Vienna, Austria | Principal Investigator |
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| ID | Term |
|---|---|
| D053120 | Respiratory Aspiration |
| ID | Term |
|---|---|
| D012120 | Respiration Disorders |
| D012140 | Respiratory Tract Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| at the time-point of inclusion |