The significance of accurate dielectric tissue data for hyperthermia treatment planning.

For hyperthermia treatment planning, dielectric properties of several tissue types are required. Since it is difficult to perform patient specific dielectric imaging, default values based on literature data are used. However, these show a large spread (approximately 50%). Consequently, it is important to know what limit this spread imposes on the accuracy of the SAR and subsequently on the temperature distributions. Hyperthermia treatment plans performed with different values for the dielectric properties were compared. This showed that a spread of 50% resulted in the average absolute difference of approximately 20% in both SAR and temperature distributions (heat sink approach) for regional hyperthermia. For interstitial hyperthermia, a spread of 25% resulted in the averaged absolute difference of approximately 10% in the SAR distributions and 5% in the temperature distributions (heat sink approach). Considering other problems that hamper hyperthermia treatment planning, it can be concluded that default values for the dielectric properties suffice.

[1]  R. Roemer Optimal power deposition in hyperthermia. I. The treatment goal: the ideal temperature distribution: the role of large blood vessels. , 1991, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[2]  B.J. James,et al.  Creation of three-dimensional patient models for hyperthermia treatment planning , 1992, IEEE Transactions on Biomedical Engineering.

[3]  J.J.W. Lagendijk,et al.  A 3-D SAR model for current source interstitial hyperthermia , 1996, IEEE Transactions on Biomedical Engineering.

[4]  C Gabriel,et al.  The dielectric properties of biological tissues: I. Literature survey. , 1996, Physics in medicine and biology.

[5]  M. Seebass,et al.  Noninvasive prediction of SAR distributions with an electro-optical E field sensor. , 1995, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[6]  Dennis M. Sullivan,et al.  Comparison of measured and simulated data in an annular phased array using an inhomogeneous phantom , 1992 .

[7]  J. Camart,et al.  Modeling of various kinds of applicators used for microwave hyperthermia based on the FDTD method , 1996 .

[8]  P Farace,et al.  An automated method for mapping human tissue permittivities by MRI in hyperthermia treatment planning. , 1997, Physics in medicine and biology.

[9]  Peter Deuflhard,et al.  A high-resolution interpolation at arbitrary interfaces for the FDTD method , 1998 .