Online Adaptive Hyperthermia Treatment Planning During Locoregional Heating to Suppress Treatment-Limiting Hot Spots

被引:56
|
作者
Kok, H. Petra [1 ]
Korshuize-van Straten, Linda [1 ]
Bakker, Akke [1 ]
de Kroon-Oldenhof, Rianne [1 ]
Geijsen, Elisabeth D. [1 ]
Stalpers, Lukas J. A. [1 ]
Crezee, Johannes [1 ]
机构
[1] Univ Amsterdam, Acad Med Ctr, Dept Radiat Oncol, Meibergdreef 9, NL-1105 AZ Amsterdam, Netherlands
关键词
PHASED-ARRAY HYPERTHERMIA; SOFT-TISSUE SARCOMAS; DEEP HYPERTHERMIA; REGIONAL HYPERTHERMIA; SYSTEM HYPERPLAN; CANCER-TREATMENT; OPTIMIZATION; TEMPERATURE; UNCERTAINTY; THERMOMETRY;
D O I
10.1016/j.ijrobp.2017.07.011
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Adequate tumor temperatures during hyperthermia are essential for good clinical response, but excessive heating of normal tissue should be avoided. This makes locoregional heating using phased array systems technically challenging. Online application of hyperthermia treatment planning could help to improve the heating quality. The aim of this study was to evaluate the clinical benefit of online treatment planning during treatment of pelvic tumors heated with the AMC-8 locoregional hyperthermia system. Methods: For online adaptive hyperthermia treatment planning, a graphical user interface was developed. Electric fields were calculated in a preprocessing step using our inhousee-developed finite-differenceebased treatment planning system. This allows instant calculation of the temperature distribution for user-selected phase-amplitude settings during treatment and projection onto the patient's computed tomographic scan for online visualization. Online treatment planning was used for 14 treatment sessions in 8 patients to reduce the patients' reports of hot spots while maintaining the same level of tumor heating. The predicted decrease in hot spot temperature should be at least 0.5 degrees C, and the tumor temperature should decrease less than 0.2 degrees C. These predictions were compared with clinical data: patient feedback about the hot spot and temperature measurements in the tumor region. Results: In total, 17 hot spot reports occurred during the 14 sessions, and the alternative settings predicted the hot spot temperature to decrease by at least 0.5 degrees C, which was confirmed by the disappearance of all 17 hot spot reports. At the same time, the average tumor temperature was predicted to change on average -0.01 degrees C ( range, -0.19 degrees C to 0.34 degrees C). The measured tumor temperature change was on average only -0.02 degrees C ( range, -0.26 degrees C to 0.31 degrees C). In only 2 cases the temperature decrease was slightly larger than 0.2 degrees C, but at most it was 0.26 degrees C. Conclusions: Online application of hyperthermia treatment planning is reliable and very useful to reduce hot spots without affecting tumor temperatures. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:1039 / 1047
页数:9
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