Loiacono L A, Sigel B, Feleppa E J, Swami V K, Parsons R E, Justin J, Yaremko M M, Rorke M, Kodama I, Golub R M
Department of Surgery, Medical College of Pennsylvania, Philadelphia 19129.
Ultrasound Med Biol. 1992;18(4):399-410. doi: 10.1016/0301-5629(92)90048-f.
This in vitro study was designed to evaluate the ability of ultrasonic tissue characterization (UTC) based on power spectrum analysis of backscattered radio-frequency echo signals to distinguish two prominent variables of thrombi: cellularity (primarily red cell content) and fibrin-mesh density. Six types of clots simulating thrombus components were prepared by varying red-cell and platelet concentrations and shear forces during clotting. Data were acquired with a linear-array transducer, digitized, and analyzed in terms of slope and intercept parameters obtained from normalized power spectra of radio-frequency echo signals. Increased cellularity and fibrin-mesh density both produced lower slope and higher intercept values, which permitted statistically significant discrimination of cellularity and mesh density in the six types of clots analyzed. Shearing forces and (to a lesser degree) platelet concentrations increased fibrin-mesh density. This study suggests that UTC based upon the power spectrum of echo signals may be used to detect and follow compositional differences that have clinical relevance in the diagnosis and follow-up of thrombi.
本体外研究旨在评估基于背向散射射频回波信号功率谱分析的超声组织特征化（UTC）区分血栓两个主要变量的能力：细胞成分（主要是红细胞含量）和纤维蛋白网密度。通过在凝血过程中改变红细胞和血小板浓度以及剪切力，制备了六种模拟血栓成分的凝块。使用线性阵列换能器采集数据，进行数字化处理，并根据从射频回波信号归一化功率谱获得的斜率和截距参数进行分析。细胞成分增加和纤维蛋白网密度增加均导致斜率降低和截距值升高，这使得在分析的六种凝块类型中能够对细胞成分和网密度进行具有统计学意义的区分。剪切力以及（在较小程度上）血小板浓度增加了纤维蛋白网密度。本研究表明，基于回波信号功率谱的UTC可用于检测和追踪在血栓诊断和随访中具有临床相关性的成分差异。
