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Int J Hyperthermia. 2015 Feb;31(1):15-22. doi: 10.3109/02656736.2014.985748. Epub 2014 Dec 12.

Impact of silicone and metal port-a-cath implants on superficial hyperthermia treatment quality.

Author information

1
Department of Radiation Oncology, Hyperthermia Unit, Erasmus MC Cancer Institute , Rotterdam , the Netherlands.

Abstract

PURPOSE:

A port-a-cath is a device implanted under the skin for continuous drug administration. It is composed of a catheter and a silicone or metal reservoir. A simulation study was done to assess the impact of a port-a-cath implant on the quality of superficial hyperthermia treatments applied using the Lucite cone applicator (LCA).

METHODS:

Specific absorption rate (SAR) and temperature distributions were predicted using SEMCAD-X (version 14.8). We simulated 72 arrangements: two LCA-implant set-ups (central port-a-cath or at an edge below the LCA footprint), six translations of the LCA per set-up, two LCA orientations (Parallel or perpendicular electric field direction) per set-up, two implant materials (silicon or metal) and a control without port-a-cath. Treatment quality was quantified by the average 1 g SAR coverage (CV25%), i.e. volume within the 25% iso-SAR surface, and the volume within the 40 °C iso-temperature surface (CV40 °C).

RESULTS:

CV25% reduced with a silicon port-a-cath located below the LCA footprint. In the worst scenario, only 64% of the CV25% of the control set-up was achieved. For a metal port-a-cath below the LCA aperture, dramatic reductions of CV25% were predicted: worst scenario down to 12.1% of the control CV25%. For the CV40 °C the worst case values were 74.5% and 6.5%, for silicon and metal implants, respectively.

CONCLUSIONS:

A silicone port-a-cath below the LCA had a smaller effect on treatment quality than a metal implant. Based on this study we recommend verifying heating quality by 3D patient-specific treatment planning when a port-a-cath is located below the footprint of the applicator.

KEYWORDS:

Implants; port-a-cath; superficial hyperthermia; thermal modelling; treatment planning

PMID:
25495267
DOI:
10.3109/02656736.2014.985748
[Indexed for MEDLINE]

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