Figures & data
Figure 1. From patient imaging to patient model (patient 10): (a) an axial slice of the patient MRI; (b) the segmentations on the same slice of bone, muscle, skin, tumor, and fibroglandular-fat mixture; (c) the same segmentation on the same slice, with the automated division of the fibroglandular-fat mixture into two distinct tissue entities; (d) the two-component GMM that lead to the selected cutoff value in the fibroglandular and fat mixture.
![Figure 1. From patient imaging to patient model (patient 10): (a) an axial slice of the patient MRI; (b) the segmentations on the same slice of bone, muscle, skin, tumor, and fibroglandular-fat mixture; (c) the same segmentation on the same slice, with the automated division of the fibroglandular-fat mixture into two distinct tissue entities; (d) the two-component GMM that lead to the selected cutoff value in the fibroglandular and fat mixture.](/cms/asset/1db38001-f5ca-44f4-b7a9-85ef80b055ad/ihyt_a_2121862_f0001_c.jpg)
Figure 3. Graphic representation of the tumor position classifications. Five distinct tumor positions are assumed: upper outer; upper inner; lower outer; lower inner; and central tumor position.
![Figure 3. Graphic representation of the tumor position classifications. Five distinct tumor positions are assumed: upper outer; upper inner; lower outer; lower inner; and central tumor position.](/cms/asset/81da387c-fadc-4e34-864f-86f5b8b8a6ad/ihyt_a_2121862_f0003_b.jpg)
Table 1. Summary of patient and tumor characteristics.
Figure 4. Treatment planning setup and results in a single patient (Patient 10). (a) The water bolus and dipole antennas positions (red dots) distributed along two rings around the breast tissue; (b) tissue discretization in an axial slice passing through the center of the tumor; (c) normalized 1 g averaged SAR distribution on the same slice after THQ optimization; (d) steady-state temperature distribution on the same slice.
![Figure 4. Treatment planning setup and results in a single patient (Patient 10). (a) The water bolus and dipole antennas positions (red dots) distributed along two rings around the breast tissue; (b) tissue discretization in an axial slice passing through the center of the tumor; (c) normalized 1 g averaged SAR distribution on the same slice after THQ optimization; (d) steady-state temperature distribution on the same slice.](/cms/asset/03ac445a-b4b9-4248-b1d7-5255b1ea6415/ihyt_a_2121862_f0004_c.jpg)
Table 2. Assigned physical, electrical, and thermal tissue properties.
Figure 5. Boxplots of the hyperthermia treatment planning parameters on all patients; (a) the THQ; (b) the TC25, TC50, and TC75; (c) the T10, T50, and T90.
![Figure 5. Boxplots of the hyperthermia treatment planning parameters on all patients; (a) the THQ; (b) the TC25, TC50, and TC75; (c) the T10, T50, and T90.](/cms/asset/a48d66e6-655d-41e3-8bfc-04e38f0c7e75/ihyt_a_2121862_f0005_c.jpg)
Figure 6. Evaluation of the tumor temperature volume metrics (T10, T50, T90) for different anatomical and tumor characteristics: (a) between different tumor location groups; (b) between different tumor stage groups; (c) between different breast density types; (d) between deep and superficial tumor locations; (e) between different breast sizes (≤450 ml; >450 ml & ≤900 ml; >900 ml).
![Figure 6. Evaluation of the tumor temperature volume metrics (T10, T50, T90) for different anatomical and tumor characteristics: (a) between different tumor location groups; (b) between different tumor stage groups; (c) between different breast density types; (d) between deep and superficial tumor locations; (e) between different breast sizes (≤450 ml; >450 ml & ≤900 ml; >900 ml).](/cms/asset/0b47eb33-33c1-435d-899b-b837fae60ca3/ihyt_a_2121862_f0006_c.jpg)