Demi Marcello, Soldati Gino, Ramalli Alessandro
Department of Bioengineering, Fondazione Toscana Gabriele Monasterio, 56126 Pisa, Italy.
Ippocrate Medical Center, 55032 Lucca, Italy.
Diagnostics (Basel). 2023 Mar 16;13(6):1139. doi: 10.3390/diagnostics13061139.
The original observation that lung ultrasound provides information regarding the physical state of the organ, rather than the anatomical details related to the disease, has reinforced the idea that the observed acoustic signs represent artifacts. However, the definition of artifact does not appear adequate since pulmonary ultrasound signs have shown valuable diagnostic accuracy, which has been usefully exploited by physicians in numerous pathologies.
A specific method has been used over the years to analyze lung ultrasound data and to convert artefactual information into anatomical information.
A physical explanation of the genesis of the acoustic signs is provided, and the relationship between their visual characteristics and the surface histopathology of the lung is illustrated. Two important sources of potential signal alteration are also highlighted.
The acoustic signs are generated by acoustic traps that progressively release previously trapped energy. Consequently, the acoustic signs highlight the presence of acoustic traps and quantitatively describe their distribution on the lung surface; they are not artifacts, but pathology footprints and anatomical information. Moreover, the impact of the dynamic focusing algorithms and the impact of different probes on the visual aspect of the acoustic signs should not be neglected.
最初的观察发现,肺部超声提供的是有关器官物理状态的信息,而非与疾病相关的解剖细节,这强化了一种观点,即所观察到的声学征象代表伪像。然而,伪像的定义似乎并不充分,因为肺部超声征象已显示出有价值的诊断准确性,医生在众多病症中已有效地利用了这一点。
多年来一直使用一种特定方法来分析肺部超声数据,并将伪像信息转化为解剖学信息。
提供了声学征象产生的物理学解释,并阐明了其视觉特征与肺表面组织病理学之间的关系。还强调了潜在信号改变的两个重要来源。
声学征象由声阱产生,声阱会逐渐释放先前捕获的能量。因此,声学征象突出了声阱的存在,并定量描述了它们在肺表面的分布;它们不是伪像,而是病理印记和解剖学信息。此外,不应忽视动态聚焦算法以及不同探头对声学征象视觉表现的影响。