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B74-05 Three-Dimension Versus Two-Dimension Electrical Impedance Tomography for Bedside Mapping of Regional Ventilation and Perfusion in Pulmonary Disorders: A Prospective Observational Study
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Abstract
Background
Two-dimensional electrical impedance tomography (2D-EIT) is increasingly used at the bedside to monitor regional ventilation (V) and perfusion (Q). However, single-slice reconstruction may miss pathology localized outside the electrode plane. We hypothesised that three-dimensional EIT (3D-EIT) employing a dual-belt electrode configuration would improve the topographic accuracy of V/Q mismatch detection compared with conventional 2D-EIT.
Methods
In a prospective single-centre study (Zhongshan Hospital, Fudan University, February-June 2024) we enrolled 78 consecutive adults with known or suspected focal lung disease. Simultaneous recordings were obtained with:
A custom 3D-EIT system (Infivision 1900, Huarui-Bio, China; 64 electrodes, two belts 4 cm apart) reconstructing a 12 × 12 × 8 cm³ lung volume;The belt supplying the second intercostal space exported as 2D-EIT data;A commercial 2D-EIT monitor (Dräger PulmoVista® 500, Germany) at the same level;Non-contrast thoracic CT acquired within 30 min.
EIT images were segmented into six regions-of-interest (ROI, 3D) or four quadrants (2D). V and Q defects were defined as pixel values < 20 % of the global maximum. Concordance with CT (reference) was quantified by Cohen’s κ and voxel-wise sensitivity/specificity.
Results
Seventy-eight patients (age 63 ± 11 y, BMI 24 ± 3 kg m−²) were analysed; CT diagnoses included malignancy with atelectasis (n = 34), pleural mesothelioma (n = 12), pneumonia/consolidation (n = 20) and mixed pathology (n = 12).
Case 1 - Pleural mesothelioma, left lower lobe (LLL):
2D-EIT depicted complete V and Q loss in the entire left lung (false extrapolation); 3D-EIT precisely localised preserved Q in LLL despite absent V (V/Q 0), matching CT.
Case 2 - Right lung tumour with middle-lobe collapse:
2D-EIT reported global right-sided V/Q absence; 3D-EIT revealed intact lateral-zone Q, enabling differentiation between atelectatic (zero V/Q) and merely compressed (low V, preserved Q) parenchyma.
Case 3 - Right upper-lobe (RUL) mass:
2D-EIT showed right-sided V/Q loss; 3D-EIT confined the defect to RUL, consistent with CT.
Pooled analysis
Sensitivity for focal V-defect detection: 3D-EIT 0.92 (95 % CI 0.86-0.96) vs 2D-EIT 0.73 (0.64-0.81), P < 0.001.Sensitivity for Q-defect: 0.88 vs 0.70, P = 0.002.Specificity remained > 0.95 for both modalities.
κ agreement with CT anatomical segment: 3D-EIT 0.81 (substantial) vs 2D-EIT 0.57 (moderate).
Conclusions
Compared with conventional 2D-EIT, 3D-EIT significantly improves the topographic accuracy of bedside V/Q mapping by capturing cranio-caudal heterogeneity missed by single-plane recordings. The enhanced spatial resolution may facilitate earlier recognition of region-specific pathology and guide targeted interventions in acute and chronic pulmonary diseases.
This abstract is funded by: none
Oxford University Press (OUP)
Title: B74-05 Three-Dimension Versus Two-Dimension Electrical Impedance Tomography for Bedside Mapping of Regional Ventilation and Perfusion in Pulmonary Disorders: A Prospective Observational Study
Description:
Abstract
Background
Two-dimensional electrical impedance tomography (2D-EIT) is increasingly used at the bedside to monitor regional ventilation (V) and perfusion (Q).
However, single-slice reconstruction may miss pathology localized outside the electrode plane.
We hypothesised that three-dimensional EIT (3D-EIT) employing a dual-belt electrode configuration would improve the topographic accuracy of V/Q mismatch detection compared with conventional 2D-EIT.
Methods
In a prospective single-centre study (Zhongshan Hospital, Fudan University, February-June 2024) we enrolled 78 consecutive adults with known or suspected focal lung disease.
Simultaneous recordings were obtained with:
A custom 3D-EIT system (Infivision 1900, Huarui-Bio, China; 64 electrodes, two belts 4 cm apart) reconstructing a 12 × 12 × 8 cm³ lung volume;The belt supplying the second intercostal space exported as 2D-EIT data;A commercial 2D-EIT monitor (Dräger PulmoVista® 500, Germany) at the same level;Non-contrast thoracic CT acquired within 30 min.
EIT images were segmented into six regions-of-interest (ROI, 3D) or four quadrants (2D).
V and Q defects were defined as pixel values < 20 % of the global maximum.
Concordance with CT (reference) was quantified by Cohen’s κ and voxel-wise sensitivity/specificity.
Results
Seventy-eight patients (age 63 ± 11 y, BMI 24 ± 3 kg m−²) were analysed; CT diagnoses included malignancy with atelectasis (n = 34), pleural mesothelioma (n = 12), pneumonia/consolidation (n = 20) and mixed pathology (n = 12).
Case 1 - Pleural mesothelioma, left lower lobe (LLL):
2D-EIT depicted complete V and Q loss in the entire left lung (false extrapolation); 3D-EIT precisely localised preserved Q in LLL despite absent V (V/Q 0), matching CT.
Case 2 - Right lung tumour with middle-lobe collapse:
2D-EIT reported global right-sided V/Q absence; 3D-EIT revealed intact lateral-zone Q, enabling differentiation between atelectatic (zero V/Q) and merely compressed (low V, preserved Q) parenchyma.
Case 3 - Right upper-lobe (RUL) mass:
2D-EIT showed right-sided V/Q loss; 3D-EIT confined the defect to RUL, consistent with CT.
Pooled analysis
Sensitivity for focal V-defect detection: 3D-EIT 0.
92 (95 % CI 0.
86-0.
96) vs 2D-EIT 0.
73 (0.
64-0.
81), P < 0.
001.
Sensitivity for Q-defect: 0.
88 vs 0.
70, P = 0.
002.
Specificity remained > 0.
95 for both modalities.
κ agreement with CT anatomical segment: 3D-EIT 0.
81 (substantial) vs 2D-EIT 0.
57 (moderate).
Conclusions
Compared with conventional 2D-EIT, 3D-EIT significantly improves the topographic accuracy of bedside V/Q mapping by capturing cranio-caudal heterogeneity missed by single-plane recordings.
The enhanced spatial resolution may facilitate earlier recognition of region-specific pathology and guide targeted interventions in acute and chronic pulmonary diseases.
This abstract is funded by: none.
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