Sacerdoțianu Victor Mihai, Ungureanu Bogdan Silviu, Iordache Sevastiţa, Cazacu Sergiu Marian, Pirici Daniel, Liliac Ilona Mihaela, Burtea Daniela Elena, Șurlin Valeriu, Stroescu Cezar, Gheonea Dan Ionuț, Săftoiu Adrian
Research Center of Gastroenterology and Hepatology of Craiova, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Histology Department, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
J Pers Med. 2022 Jun 21;12(7):1020. doi: 10.3390/jpm12071020.
Tumor vascular perfusion pattern in gastric cancer (GC) may be an important prognostic factor with therapeutic implications. Non-invasive methods such as dynamic contrast harmonic imaging endoscopic ultrasound (CHI-EUS) may provide details about tumor perfusion and could also lay out another perspective for angiogenesis assessment. Methods: We included 34 patients with GC, adenocarcinoma, with CHI-EUS examinations that were performed before any treatment decision. We analyzed eighty video sequences with a dedicated software for quantitative analysis of the vascular patterns of specific regions of interest (ROI). As a result, time-intensity curve (TIC) along with other derived parameters were automatically generated: peak enhancement (PE), rise time (RT), time to peak (TTP), wash-in perfusion index (WiPI), ROI area, and others. We performed CD105 and CD31 immunostaining to calculate the vascular diameter (vd) and the microvascular density (MVD), and the results were compared with CHI-EUS parameters. Results: High statistical correlations (p < 0.05) were observed between TIC analysis parameters MVD and vd CD31. Strong correlations were also found between tumor grade and 7 CHI-EUS parameters, p < 0.005. Conclusions: GC angiogenesis assessment by CHI-EUS is feasible and may be considered for future studies based on TIC analysis.
胃癌(GC)的肿瘤血管灌注模式可能是一个具有治疗意义的重要预后因素。动态对比谐波成像内镜超声(CHI-EUS)等非侵入性方法可提供有关肿瘤灌注的详细信息,也可为血管生成评估提供另一个视角。方法:我们纳入了34例GC腺癌患者,这些患者在做出任何治疗决定之前均接受了CHI-EUS检查。我们使用专用软件分析了80个视频序列,以对特定感兴趣区域(ROI)的血管模式进行定量分析。结果,自动生成了时间-强度曲线(TIC)以及其他派生参数:峰值增强(PE)、上升时间(RT)、峰值时间(TTP)、灌注指数(WiPI)、ROI面积等。我们进行了CD105和CD31免疫染色以计算血管直径(vd)和微血管密度(MVD),并将结果与CHI-EUS参数进行比较。结果:在TIC分析参数MVD与vd CD31之间观察到高度统计学相关性(p <0.05)。在肿瘤分级与7个CHI-EUS参数之间也发现了强相关性,p <0.005。结论:通过CHI-EUS评估GC血管生成是可行的,基于TIC分析的未来研究可考虑采用该方法。