Bioengineering, Imperial College London, London, United Kingdom of Great Britain and Northern Ireland.
Department of Ultrasound, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, People's Republic of China.
Ultraschall Med. 2022 Dec;43(6):592-598. doi: 10.1055/a-1917-0016. Epub 2022 Oct 7.
Detecting and distinguishing metastatic lymph nodes (LNs) from those with benign lymphadenopathy are crucial for cancer diagnosis and prognosis but remain a clinical challenge. A recent advance in super-resolution ultrasound (SRUS) through localizing individual microbubbles has broken the diffraction limit and tracking enabled in vivo noninvasive imaging of vascular morphology and flow dynamics at a microscopic level. In this study we hypothesize that SRUS enables quantitative markers to distinguish metastatic LNs from benign ones in patients with lymphadenopathy.
Clinical contrast-enhanced ultrasound image sequences of LNs from 6 patients with lymph node metastasis and 4 with benign lymphadenopathy were acquired and motion-corrected. These were then used to generate super-resolution microvascular images and super-resolved velocity maps. From these SRUS images, morphological and functional measures were obtained including micro-vessel density, fractal dimension, mean flow speed, and Local Flow Direction Irregularity (LFDI) measuring the variance in local flow direction. These measures were compared between pathologically proven reactive and metastasis LNs.
Our initial results indicate that the difference in the indicator of flow irregularity (LFDI) derived from the SRUS images is statistically significant between the two groups. The LFDI is 60% higher in metastatic LNs compared with reactive nodes.
This pilot study demonstrates the feasibility of super-resolution ultrasound for clinical imaging of lymph nodes and the potential of using the irregularity of local blood flow directions afforded by SRUS for the characterization of LNs.
检测和区分转移性淋巴结 (LNs) 与良性淋巴结病对于癌症的诊断和预后至关重要,但这仍然是临床挑战。通过定位单个微泡,超分辨率超声 (SRUS) 的最新进展突破了衍射极限,并实现了在微观水平上对血管形态和血流动力学进行体内非侵入性成像的跟踪。在这项研究中,我们假设 SRUS 能够提供定量标志物,以区分患有淋巴结病的患者中转移性和良性 LNs。
从 6 例淋巴结转移和 4 例良性淋巴结病患者中获取并运动校正了临床对比增强超声淋巴结图像序列。然后,将这些序列用于生成超分辨率微血管图像和超分辨率速度图。从这些 SRUS 图像中,获得了形态学和功能测量值,包括微血管密度、分形维数、平均流速和局部流方向不规则性 (LFDI),它测量局部流方向的方差。将这些测量值与病理证实的反应性和转移性 LNs 进行了比较。
我们的初步结果表明,两组之间源自 SRUS 图像的流不规则性 (LFDI) 指标的差异具有统计学意义。转移性 LNs 的 LFDI 比反应性节点高 60%。
这项初步研究表明了超分辨率超声用于临床淋巴结成像的可行性,以及利用 SRUS 提供的局部血流方向不规则性进行 LNs 特征描述的潜力。