Department of Immunology & Pathology, Washington University School of Medicine, St. Louis, Missouri, USA.
Department of Internal Medicine-Gastroenterology, Washington University School of Medicine, St. Louis, Missouri, USA.
Ultrasound Med Biol. 2019 Oct;45(10):2777-2786. doi: 10.1016/j.ultrasmedbio.2019.06.412. Epub 2019 Jul 15.
Image-based classification of liver disease generally lacks specificity for distinguishing between acute, resolvable injury and chronic irreversible injury. We propose that ultrasound radiofrequency data acquired in vivo from livers subjected to toxic drug injury can be analyzed with information theoretic detectors to derive entropy metrics, which classify a statistical distribution of pathologic scatterers that dissipate over time as livers heal. Here we exposed 38 C57BL/6 mice to carbon tetrachloride to cause liver damage, and imaged livers in vivo 1, 4, 8, 12 and 18 d after exposure with a broadband 15-MHz probe. Selected entropy metrics manifested monotonic recovery to normal values over time as livers healed, and were correlated directly with progressive restoration of liver architecture by histologic assessment (r ≥ 0.95, p < 0.004). Thus, recovery of normal liver microarchitecture after toxic exposure can be delineated sensitively with entropy metrics.
基于图像的肝病分类通常缺乏特异性，无法区分急性、可解决的损伤和慢性不可逆转的损伤。我们提出，从受到有毒药物损伤的肝脏中体内获取的超声射频数据可以用信息论检测器进行分析，得出熵度量，这些度量可以对随着时间的推移消散的病理性散射体的统计分布进行分类，从而使肝脏在愈合过程中恢复正常。在这里，我们用四氯化碳使 38 只 C57BL/6 小鼠的肝脏受损，然后在暴露后 1、4、8、12 和 18 天用宽带 15MHz 探头对肝脏进行体内成像。选择的熵度量随着肝脏的愈合而呈现出单调的恢复到正常数值，并且与组织学评估中肝脏结构的逐步恢复直接相关（r≥0.95，p<0.004）。因此，用熵度量可以敏感地描绘出毒性暴露后正常肝脏微观结构的恢复。
