Philips' new tumour mapping software paves way for adaptive radiation
Andover, Mass., USA. Royal Philips Electronics (NYSE: PHG, AEX: PHI) has
released new software that reduces the time it takes to contour tumours and
anatomical structures. This is a crucial aid in adapting image-guided
radiation therapy to patients' treatment plans based on their response to
Philips' new model-based segmentation (MBS) software for
image-guided radiation therapy (IGRT) workflow enhancement is an upgrade on
the current Pinnacle(3) Radiation Therapy Planning system.
The current Pinnacle(3) system combines AcQSim(3) simulation, Syntegra
image fusion and P(3)IMRT modules to provide a powerful oncology toolbox
capable of sculpting radiation doses to tumours.
The MBS software includes an anatomical library of 3D patient organ
structure models. Users can simply drag and drop the models onto patient
image data and the software automatically adapts to each patient's anatomy.
The library of anatomical models grows as new patient data are added,
providing a unique ability to build a library based on regional demographic
or clinical practice specialties.
"Philips investment in research and clinical IGRT partnerships has paid
off with the launch of MBS," said Philips project manager David Robinson, a
Certified Medical Dosimetrist. "IGRT workflow is enhanced by allowing
clinicians to quickly contour the tumours and organs at risk in three
dimensions, then propagate the organs to alternate 4D datasets to help
physicians determine the extent of tumour movement within the patient. This
capability opens up the possibility to adapt the daily treatment plan on the
In addition to MBS and its time-saving benefits, Philips has introduced
other workflow enhancements such as P(3)PC for remote planning, which allows
Philips clinical customers to remotely access their patient data at more
than 1,600 installed Pinnacle(3) sites around the world. While remote
patient contouring and treatment planning offer workflow efficiencies today,
future adaptive IGRT planning will depend on these remote collaboration
tools in order for oncologists to review and interact with their patients'
4D data and daily response to treatment.