Abstract
Objectives
The identification of the intersegmental plane is a major interoperative challenges during pulmonary segmentectomies. The objective of this pilot study is to test the feasibility of lung perfusion assessment by Hyperspectral Imaging for identification of the intersegmental plane.
Methods
A pilot study (clinicaltrials.org: NCT04784884) was conducted in patients with lung cancer. Measuring tissue oxygenation (StO2; upper tissue perfusion), organ hemoglobin index (OHI), near-infrared index (NIR; deeper tissue perfusion) and tissue water index (TWI), the Hyperspectral Imaging measurements were carried out in inflated (Pvent) and deflated pulmonary lobes (PnV) as well as in deflated pulmonary lobes with divided circulation (PnVC) before dissection of the lobar bronchus.
Results
A total of 341 measuring points were evaluated during pulmonary lobectomies. Pulmonary lobes showed a reduced StO2 (Pvent: 84.56% ± 3.92 vs. PnV: 63.62% ± 11.62 vs. PnVC: 39.20% ± 23.57; p<0.05) and NIR-perfusion (Pvent: 50.55 ± 5.62 vs. PnV: 47.55 ± 3.38 vs. PnVC: 27.60 ± 9.33; p<0.05). There were no differences of OHI and TWI between the three groups.
Conclusions
This pilot study demonstrates that HSI enables differentiation between different ventilated and perfused pulmonary tissue as a precondition for HSI segment mapping.
Funding source: Supporting association of the LungClinic Großhansdorf
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Research funding: The study was supported by the supporting association of the LungClinic Großhansdorf.
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Author contributions: The author has accepted responsibility for the entire content of this manuscript and approved its submission.
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Conflicts of interests: Author states no conflict of interest.
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Ethical approval: The local Institutional Review Board deemed the study exempt from review.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Review
- Effectiveness of FES-supported leg exercise for promotion of paralysed lower limb muscle and bone health—a systematic review
- Research Articles
- Stimulation of spinal cord according to recorded theta hippocampal rhythm during rat move on treadmill
- EEG-based driver states discrimination by noise fraction analysis and novel clustering algorithm
- Active fault tolerant deep brain stimulator for epilepsy using deep neural network
- Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation
- A diagnostic method for cardiomyopathy based on multimodal data
- Hyperspectral imaging enables the differentiation of differentially inflated and perfused pulmonary tissue: a proof-of-concept study in pulmonary lobectomies for intersegmental plane mapping
- Hyperspectral imaging-based cutaneous wound classification using neighbourhood extraction 3D convolutional neural network
- The effects of heating rate and sintering time on the biaxial flexural strength of monolithic zirconia ceramics