The Effects of Large Blood Vessels on Temperature Distributions During Simulated Hyperthermia

1992 ◽  
Vol 114 (4) ◽  
pp. 473-481 ◽  
Author(s):  
Zong-Ping Chen ◽  
Robert B. Roemer

Several three-dimensional vascular models have been developed to study the effects of adding equations for large blood vessels to the traditional bioheat transfer equation of Pennes when simulating tissue temperature distributions. These vascular models include “transiting” vessels, “supplying” arteries, and “draining” veins, for all of which the mean temperature of the blood in the vessels is calculated along their lengths. For the supplying arteries this spatially variable temperature is then used as the arterial temperature in the bioheat transfer equation. The different vascular models produce significantly different locations for both the maximum tumor and the maximum normal tissue temperatures for a given power deposition pattern. However, all of the vascular models predict essentially the same cold regions in the same locations in tumors: one set at the tumors’ corners and another around the inlets of the large blood vessels to the tumor. Several different power deposition patterns have been simulated in an attempt to eliminate these cold regions; uniform power in the tumor, annular power in the tumor, preheating of the blood in the vessels while they are traversing the normal tissue, and an “optimal” power pattern which combines the best features of the above approaches. Although the calculations indicate that optimal power deposition patterns (which improve the temperature distributions) exist for all of the vascular models, none of the heating patterns studied eliminated all of the cold regions. Vasodilation in the normal tissue is also simulated to see its effects on the temperature fields. This technique can raise the temperatures around the inlet of the large blood vessles to the tumor (due to the higher power deposition rates possible), but on the other hand, normal tissue vasodilation makes the temperatures at the tumor corners slightly colder.

Author(s):  
Kung-Shan Cheng

The blood perfusion has been know to be an important factor of a thermal therapy, furthermore there were experiments shown that both normal tissue and tumor have different temperature-dependent perfusions. Since it has been shown by a recent study that the optimal power deposition patterns producing uniform tumor thermal dose distributions exist for thermal treatments ranging from the conventional hyperthermia to the high temperature therapy, this motivates performing a study on the optimal power deposition patterns for the high temperature therapy. This study showed that there are such optimal power deposition patterns for different tumor sizes by applying a 5-sec heating pulse with different out-tumor heat patterns even when the tumor and normal tissue both have different temperature-dependent perfusions. With this short heating, the optimal power patterns for temperature dependent perfusion models are almost identical to the corresponding constant perfusion models. In addition to this perfusion-independence, when tumor size is at least 4cm, even the treatment times from both perfusion models are almost the same. Furthermore, the simulations also showed that the optimal power deposition patterns are not sensitive to the out-tumor heating patterns, provided the heating applicator is not poorly focused. Results of the study motivate the thermal treatment community to perform more studies on the short-time high-temperature therapy to benefit these blood perfusion independences.


Author(s):  
Daipayan Sarkar ◽  
A. Haji-Sheikh ◽  
Ankur Jain

Heat conduction in skin tissue is a problem of significant technological importance. A theoretical understanding of such a problem is essential as it may lead to design potential therapeutic measures for needed cancer therapy or novel medical devices for various applications including hyperthermia. To understand the physical phenomenon of energy transport in biological systems a transient model is chosen for this study. The most common transport equation to estimate temperature distribution in humans was developed by H.H. Pennes and is popularly known as the Pennes bioheat transfer equation. A generalized Pennes bioheat transfer equation accounts for the effect of various physical phenomena such as conduction, advection, volumetric heat generation, etc. are considered. In this paper, a general transient form of the Pennes bioheat transfer equation is solved analytically for a multilayer domain. The boundary value problem considers the core of the tissue is maintained at uniform temperature of 37°C, convective cooling is applied to the external surface of the skin and the sidewalls are adiabatic. The computation of transient temperature in multidimensional and multilayer bodies offers unique features. Due to the presence of blood perfusion in the tissue, the reaction term in the Pennes governing equation is modeled similar to a fin term. The eigenvalues may become imaginary, producing eigenfunctions with imaginary arguments. In addition the spacing between the eigenvalues between zero and maximum value varies for different cases; therefore the values need to be determined with precision using second order Newton’s method. A detailed derivation of the temperature solution using the technique of separation of variables is presented in this study. In addition a proof of orthogonality theorem for eigenfunctions with imaginary eigenvalues is also presented. The analytical model is used to study the thermal response of skin tissue to different parameters with the aid of some numerical examples. Results shown in this paper are expected to facilitate a better understand of bioheat transfer in layered tissue such as skin.


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