Pazhayannur P V, Bischof J C
Department of Mechanical Engineering, University of Minnesota, Minneapolis 55455, USA.
J Biomech Eng. 1997 Aug;119(3):269-77. doi: 10.1115/1.2796091.
Optimization of cryosurgical procedures on deep tissues such as liver requires an increased understanding of the fundamental mechanisms of ice formation and water transport in tissues during freezing. In order to further investigate and quantify the amount of water transport that occurs during freezing in tissue, this study reports quantitative and dynamic experimental data and theoretical modeling of rat liver freezing under controlled conditions. The rat liver was frozen by one of four methods of cooling: Method 1-ultrarapid "slam cooling" (> or = 1000 degrees C/min) for control samples; Method 2-equilibrium freezing achieved by equilibrating tissue at different subzero temperatures (-4, -6, -8, -10 degrees C); Method 3-two-step freezing, which involves cooling at 5 degrees C/min. to -4, -6, -8, -10 or -20 degrees C followed immediately by slam cooling; or Method 4-constant and controlled freezing at rates from 5-400 degrees C/min. on a directional cooling stage. After freezing, the tissue was freeze substituted, embedded in resin, sectioned, stained, and imaged under a light microscope fitted with a digitizing system. Image analysis techniques were then used to determine the relative cellular to extracellular volumes of the tissue. The osmotically inactive cell volume was determined to be 0.35 by constructing a Boyle van't Hoff plot using cellular volumes from Method 2. The dynamic volume of the rat liver cells during cooling was obtained using cellular volumes from Method 3 (two-step freezing at 5 degrees C/min). A nonlinear regression fit of a Krogh cylinder model to the volumetric shrinkage data in Method 3 yielded the biophysical parameters of water transport in rat liver tissue of: Lpg = 3.1 x 10(-13) m3/Ns (1.86 microns/min-atm) and ELp = 290 kJ/mole (69.3 kcal/mole), with chi-squared variance of 0.00124. These parameters were then incorporated into the Krogh cylinder model and used to simulate water transport in rat liver tissue during constant cooling at rates between 5-100 degrees C/min. Reasonable agreement between these simulations and the constant cooling rate freezing experiments in Method 4 were obtained. The model predicts that the water transport ceases at a relatively high subzero temperature (-10 degrees C), such that the amount of intracellular ice forming in the tissue cells rises from almost none (= extensive dehydration and vascular expansion) at < or = 5 degrees C/min to over 88 percent of the original cellular water at > or = 50 degrees C/min. The theoretical simulations based on these experimental methods may be of use in visualizing and predicting freezing response, and thus can assist in the planning and implementing of cryosurgical protocols.
优化诸如肝脏等深部组织的冷冻手术需要更深入地了解冷冻过程中组织内冰形成和水传输的基本机制。为了进一步研究和量化组织冷冻过程中发生的水传输量,本研究报告了在可控条件下大鼠肝脏冷冻的定量和动态实验数据以及理论模型。大鼠肝脏通过以下四种冷却方法之一进行冷冻:方法1 - 超快速“猛击冷却”(≥1000℃/分钟)用于对照样本;方法2 - 通过在不同的零下温度(-4、-6、-8、-10℃)平衡组织实现平衡冷冻;方法3 - 两步冷冻,即先以5℃/分钟冷却至-4、-6、-8、-10或-20℃,然后立即进行猛击冷却;或方法4 - 在定向冷却台上以5 - 400℃/分钟的速率进行恒定且可控的冷冻。冷冻后,将组织进行冷冻置换、包埋在树脂中、切片、染色,并在配备数字化系统的光学显微镜下成像。然后使用图像分析技术确定组织中细胞内与细胞外体积的相对比例。通过使用方法2的细胞体积构建玻意耳 - 范特霍夫图,确定渗透惰性细胞体积为0.35。使用方法3(5℃/分钟的两步冷冻)的细胞体积获得大鼠肝细胞在冷却过程中的动态体积。将克勒格圆柱模型对方法3中的体积收缩数据进行非线性回归拟合,得出大鼠肝脏组织中水传输的生物物理参数:Lpg = 3.1×10⁻¹³ m³/Ns(1.86微米/分钟 - 大气压)和ELp = 290 kJ/摩尔(69.3千卡/摩尔),卡方方差为0.00124。然后将这些参数纳入克勒格圆柱模型,并用于模拟大鼠肝脏组织在5 - 100℃/分钟的恒定冷却速率下的水传输。这些模拟结果与方法4中的恒定冷却速率冷冻实验取得了合理的一致性。该模型预测水传输在相对较高的零下温度(-10℃)时停止,使得组织细胞内形成的细胞内冰量从在≤5℃/分钟时几乎为零(即大量脱水和血管扩张)增加到在≥50℃/分钟时超过原始细胞水的88%。基于这些实验方法的理论模拟可能有助于可视化和预测冷冻反应,从而有助于冷冻手术方案的规划和实施。