CT Simulation is increasingly becoming the standard procedure in radiation therapy. But patient breathing, as well as movements of the tumor or normal tissue can impact planning, delivery and verification. With a normal CT scan, motion may cause inaccurate target definition, in that moving targets could be in distorted shapes at the wrong location. It could also cause extra dose distribution to healthy tissue, due to dosing larger fields to cover a moving tumor.
To improve the visualization of moving tumors, 4D CT is applied to determine the motion and help to design an accurate plan for employing precise standard or gated therapy.
C-RAD Sentinel 4D CT is an easy-to-use, laser-based optical surface scanning system with functionality for 4D CT reconstruction and gated imaging in a CT room. It also provides reference images for patient positioning and intra-fraction motion detection in a radiation therapy treatment room.
Full 4D CT capability
Breath-hold, deep inspiration and coached/free breathing modes are all supported, along with retrospective and prospective modes. This provides maximum flexibility to adapt to different patient capabilities and clinical requirements.
Patient baseline is calculated as an absolute parameter that can be used during the treatment delivery
The system offers seamless support throughout the entire 4D CT simulation, 4D treatment planning, and 4D delivery phases of the radiation therapy process
High level of patient safety and comfort
No markers or other equipment need to be placed on or around the patient.
Laser tracking system in the CT room for getting couch movement automatically
Audio-visual coaching through in-room speakers and video goggles, assisting the patient to follow the optimal breathing pattern.
Sophisticated software to streamline the workflow
All data acquired by Sentinel is stored in a central database and the same surface points and breathing curve will be automatically tracked with a Catalyst™ system in the treatment room during every fraction, without manual intervention.
CT Interfaces: Integration with major oncology CT models