Procedure for creating a three-dimensional (3D) model for superficial hyperthermia treatment planning

Linthorst, Marianne; Drizdal, Tomas; Joosten, Hans; Rhoon, Gerard C. van; Zee, Jacoba van der

doi:10.1007/s00066-011-2272-0

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…The hyperthermia group in Rotterdam reported that the Rotterdam method detailed a hyperthermia treatment planning system for which they calculated specific absorption rate (SAR) distributions and the successful outcomes of hyperthermia in patients with cervical cancer. They also reported that areas of pain correlated with modelled SAR peak locations [9][10][11][12][13][14][15].…”

Section: Discussionmentioning

confidence: 99%

Output-limiting symptoms induced by radiofrequency hyperthermia. Are they predictable?

Shoji

Motegi

Osawa

et al. 2015

International Journal of Hyperthermia

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Section: Discussionmentioning

confidence: 99%

Output-limiting symptoms induced by radiofrequency hyperthermia. Are they predictable?

Shoji

Motegi

Osawa

et al. 2015

International Journal of Hyperthermia

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“…A computer tomography (CT) scan in identical position as during SHT was made for all 40 patients after the placement of invasive thermometry catheters [15]. Figure 3 shows an example of CT slice segmented into muscle, fat, lung, bone and tumour using iSeg (v 3.5, Zurich MedTech, Switzerland).…”

Section: ) Patient Specific 3d Modelsmentioning

confidence: 99%

Prediction of temperature distribution for superficial hyperthermia treatment: Accuracy of temperature dependent blood perfusion model

Drizdal

Paulides

Trujilo-Romero

et al. 2014

2014 44th European Microwave Conference

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During superficial hyperthermia treatment (SHT), temperature in region of interest is increased to 40-43 • C, in order to enhance the therapeutic effect of standard radiotherapy and chemotherapy treatments. Temperature increase during SHT is usually monitored using invasive thermometry which is burden for the patient. We strongly believe that superficial hyperthermia treatment planning has a potential replacing invasive thermometry system in clinical practice. In this study we have investigated accuracy of temperature prediction in SHT using temperature dependent blood perfusion model for muscle and fat. For 40 patients treated with recurrent breast cancer recurrences at the chest wall we compared 294 invasively measured and predicted temperature profiles. We found difference of 0.88±1.69 • C (mean±standard deviation) with root mean square difference of 1.9 • C.

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“…For patient-specific hyperthermia treatment planning a different approach is required to model the treatment position, orientation and the treatment curvature of the applicator. Linthorst et al described a procedure to create a model for superficial hyperthermia with rigid Lucite cone applicators, using a mold representing the antenna footprint on the CT scan [22]. Drizdal et al have developed a method to reconstruct the position of an array of six Lucite cone applicators from multiple-view images [23].…”

Section: Introductionmentioning

confidence: 99%

Modelling Curved Contact Flexible Microstrip Applicators for Patient-Specific Superficial Hyperthermia Treatment Planning

Kok

Groen

Bakker

et al. 2020

Cancers

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This paper describes a method to reconstruct bendable superficial hyperthermia applicators for routine clinical patient-specific treatment planning. The reconstruction uses a CT scan with a flexible silicone dummy applicator positioned on the patient. The curvature was approximated by two second-degree polynomial functions. A realistic treatment series was mimicked using a standard Alderson radiation therapy phantom and a treatment planning model was reconstructed from a CT scan. The variation among treatment curvatures was compared to the modelled curvature. The mathematical approximation of the applicator curvature was validated for this phantom experiment, as well as for clinical treatments. The average maximum variation among the successive mimicked sessions was 3.67 ± 0.69 mm (range 2.98–4.60 mm). The maximum deviation between the treatment curvature and the modelled curvature was 4.35 mm. Comparing the treatment and approximated curvature yielded a maximum deviation between 2.98 mm and 4.12 mm. For clinical treatments the maximum deviation of the treatment and approximated curvature varied between 0.48 mm and 1.98 mm. These results allow adequate reconstruction of bendable hyperthermia applicators for treatment planning, which can further improve treatment quality, for example by optimizing the water bolus temperature for patient-specific tumor depths. Predictive parameters for hyperthermia treatment outcome can easily be evaluated and compared for various input parameters.

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Procedure for creating a three-dimensional (3D) model for superficial hyperthermia treatment planning

Abstract: Using the final procedure to obtain a patient- and treatment-specific CT scan, it is possible to create a 3D model for SHTP.

Cited by 9 publications

References 42 publications

Output-limiting symptoms induced by radiofrequency hyperthermia. Are they predictable?

Output-limiting symptoms induced by radiofrequency hyperthermia. Are they predictable?

Prediction of temperature distribution for superficial hyperthermia treatment: Accuracy of temperature dependent blood perfusion model

Modelling Curved Contact Flexible Microstrip Applicators for Patient-Specific Superficial Hyperthermia Treatment Planning

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