Hyperspectral imaging enables the differentiation of differentially inflated and perfused pulmonary tissue: a proof-of-concept study in pulmonary lobectomies for intersegmental plane mapping.
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引用次数: 0
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.
目的:在肺段切除术中,节段间平面的识别是一个主要的手术挑战。本初步研究的目的是测试通过高光谱成像评估肺灌注识别节段间平面的可行性。方法:在肺癌患者中进行了一项初步研究(clinicaltrials.org: NCT04784884)。测量组织氧合(StO2);上组织灌注)、器官血红蛋白指数(OHI)、近红外指数(NIR);在肺大叶支气管夹层前,分别对充气肺叶(Pvent)、充气肺叶(PnV)、充气肺叶伴分循环肺叶(PnVC)进行高光谱成像测量。结果:肺叶切除术期间共评估了341个测量点。肺叶StO2降低(Pvent: 84.56%±3.92 vs. PnV: 63.62%±11.62 vs. PnVC: 39.20%±23.57;pvent: 50.55±5.62与巴斯克民族主义党:47.55±3.38 vs PnVC: 27.60±9.33;结论:这项初步研究表明,HSI能够区分不同的通气和灌注肺组织,这是HSI区段定位的先决条件。
期刊介绍:
Biomedical Engineering / Biomedizinische Technik (BMT) is a high-quality forum for the exchange of knowledge in the fields of biomedical engineering, medical information technology and biotechnology/bioengineering. As an established journal with a tradition of more than 60 years, BMT addresses engineers, natural scientists, and clinicians working in research, industry, or clinical practice.