Doppler Ultrasound-Visible SignalMark Microspheres are Better Identified than HydroMARK ® Clips in a Simulated Intraoperative Setting in Breast and Lung Tissue
Annals of Surgical Oncology(2018)
摘要
Background Preoperative breast and lung markers have significant drawbacks, including migration, patient discomfort, and scheduling difficulties. SignalMark is a novel localizer device with a unique signal on Doppler ultrasound. Objective We aimed to evaluate intraoperative identification of SignalMark microspheres compared with HydroMARK ® clips. We also assessed the safety and efficacy of SignalMark in the lung. Methods Twelve breasts of lactating pigs were injected with SignalMark or HydroMARK ® by a breast radiologist, and subsequently identified using a standard ultrasound machine by three surgeons blinded to marker location. Time to identification of each marker was recorded, with a maximum allotted time of 300 s. To further demonstrate efficacy in lung parenchyma, a second cohort of pigs underwent lung injections. Results A total of eight SignalMark markers and four HydroMARK ® clips were placed in pig breasts. Overall, the surgeons correctly identified SignalMark 95.8% of the time ( n = 23/24) and HydroMARK ® clips 41.7% of the time ( n = 5/12) within 300 s ( p < 0.001). The mean time to identification was significantly faster for SignalMark, at 80.8 ± 20.1 s, than for HydroMARK ® , at 209.4 ± 35.2 s ( p < 0.002). For the lung injections, all 10 SignalMark markers were visible on Doppler ultrasound at the time of placement, and at the 7- and 21-day time points. Conclusions Surgeons identified SignalMark in significantly less time than HydroMARK ® clips in a simulated intraoperative setting, and SignalMark was easily viewed in the lung. These results suggest that SignalMark is a feasible option for efficient intraoperative localization of non-palpable breast and lung tumors using ultrasound guidance.
更多查看译文
关键词
Standard Ultrasound Machine,Injection Lung,Lung Markings,Lung Nodule Localization,Wire Localization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要