Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
J Cardiovasc Electrophysiol. 2010 May;21(5):557-63. doi: 10.1111/j.1540-8167.2009.01664.x. Epub 2009 Dec 15.
Lesion placement and transmurality are critical factors in the success of cardiac transcatheter radiofrequency ablation (RFA) treatments for supraventricular arrhythmias. This study investigated the capabilities of catheter transducer based acoustic radiation force impulse (ARFI) ultrasound imaging for quantifying ablation lesion dimensions.
RFA lesions were created in vitro in porcine ventricular myocardium and imaged with an intracardiac ultrasound catheter transducer capable of acquiring spatially registered B-mode and ARFI images. The myocardium was sliced along the imaging plane and photographed. The maximum ARFI-induced displacement images of the lesion were normalized and spatially registered with the photograph by matching the surfaces of the tissue in the B-mode and photographic images. The lesion dimensions determined by a manual segmentation of the photographed lesion based on the visible discoloration of the tissue were compared to automatic segmentations of the ARFI image using 2 different calculated thresholds. ARFI imaging accurately localized and sized the lesions within the myocardium. Differences in the maximum lateral and axial dimensions were statistically below 2 mm and 1 mm, respectively, for the 2 thresholding methods, with mean percent overlap of 68.7 +/- 5.21% and 66.3 +/- 8.4% for the 2 thresholds used.
ARFI imaging is capable of visualizing myocardial RFA lesion dimensions to within 2 mm in vitro. Visualizing lesions during transcatheter cardiac ablation procedures could improve the success of the treatment by imaging lesion line discontinuity and potentially reducing the required number of ablation lesions and procedure time.
病变位置和透壁性是心脏经导管射频消融(RFA)治疗室上性心律失常成功的关键因素。本研究探讨了基于导管换能器的声辐射力脉冲(ARFI)超声成像定量消融病变尺寸的能力。
在猪心室心肌中进行了体外 RFA 病变,并使用能够获取空间配准 B 模式和 ARFI 图像的心脏内超声导管换能器进行成像。将心肌沿成像平面切开并拍照。病变的最大 ARFI 诱导位移图像通过匹配 B 模式和照片中组织的表面进行归一化和空间配准。基于组织可见变色的手动分割对照片中病变的尺寸进行了确定,并与使用 2 种不同计算阈值的 ARFI 图像的自动分割进行了比较。ARFI 成像准确地定位和测量了心肌内的病变。对于 2 种阈值方法,最大侧向和轴向尺寸的差异分别在 2 毫米和 1 毫米以下,使用的 2 个阈值的平均重叠百分比为 68.7 +/- 5.21%和 66.3 +/- 8.4%。
ARFI 成像能够在体外可视化心肌 RFA 病变的尺寸,精度在 2 毫米以内。在经导管心脏消融手术期间可视化病变可以通过成像病变线不连续性来提高治疗成功率,并可能减少所需的消融病变数量和手术时间。