CT-based evaluation of tissue expansion in cryoablation of ex vivo kidney
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Frank Hübner
,
Moritz Klaus
Abstract
Objectives
To evaluate tissue expansion during cryoablation, the displacement of markers in ex vivo kidney tissue was determined using computed tomographic (CT) imaging.
Methods
CT-guided cryoablation was performed in nine porcine kidneys over a 10 min period. Markers and fiber optic temperature probes were positioned perpendicular to the cryoprobe shaft in an axial orientation. The temperature measurement was performed simultaneously with the acquisitions of the CT images in 5 s intervals. The distance change of the markers to the cryoprobe was determined in each CT image and equated to the measured temperature at the marker.
Results
The greatest increase in the distance between the markers and the cryoprobe was observed in the initial phase of cryoablation. The maximum displacement of the markers was determined to be 0.31±0.2 mm and 2.8±0.02 %, respectively.
Conclusions
The mean expansion of ex vivo kidney tissue during cryoablation with a single cryoprobe is 0.31±0.2 mm. The results can be used for identification of basic parameters for optimization of therapy planning.
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Ethical Approval: Not applicable.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no conflict of interest.
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Research funding: None declared.
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Articles in the same Issue
- Frontmatter
- Review
- Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features
- Research Articles
- Hybrid optimization assisted channel selection of EEG for deep learning model-based classification of motor imagery task
- Development of audio-guided deep breathing and auditory Go/No-Go task on evaluating its impact on the wellness of young adults: a pilot study
- Detection of driver drowsiness level using a hybrid learning model based on ECG signals
- A portable household detection system based on the combination of bidirectional LSTM and residual block for automatical arrhythmia detection
- Probabilistic hierarchical clustering based identification and segmentation of brain tumors in magnetic resonance imaging
- Biomechanical comparison of three fixation strategies for radial head fractures: a biomechanical study
- Computer-based analysis of the taper connection strength of different revision head and adapter sleeve designs
- CT-based evaluation of tissue expansion in cryoablation of ex vivo kidney
