Evaluating the use of SGRT in supraclavicular fossa positioning of mastectomy patients.
PO-1874
Abstract
Evaluating the use of SGRT in supraclavicular fossa positioning of mastectomy patients.
Authors: Xin Feng1, Fukui Huan1, Huan Chen1, Fengyu Lu1, Zhaohui Li1, Hongju Li1, Wei Li1, Guoyou Wei1, Bao Wan1, Yanxin Zhang1, Hao Jing1, Shulian Wang1
1National Cancer Center/ National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Radiation Oncology, Beijing, China
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Purpose or Objective
Supraclavicular fossa position
reproducibility and accuracy has been an existing challenge for breast cancer
radiotherapy patients. This issue is detrimental especially for mastectomy
patients. With the utilisation of VMAT technique, the accuracy of the arm
position is even more crucial to ensure the treatment precision. Our clinical
team would like to find out if the use of SGRT technology could improve the supraclavicular
fossa position accuracy and reproducibility.
Material and Methods
32 mastectomy patients with VMAT
(chest-wall and supraclavicular field) technique were aligned using SGRT
(AlignRT, Vision RT) workflow. All patients were immobilized with an opened
thermoplastic on an all-in-one board. They were firstly aligned base on the
skin marking and then fine-tuned using SGRT. The Region of Interest (ROI) was
drawn on the ipsilateral chest-wall only. After that, the therapist activated
the ‘treatment capture’ function in SGRT system to check on the shoulder and
arm position relative to the CT position. Patients’ arms were adjusted
accordingly. Lastly, the therapists will check on the ROI again to ensure the
overall positioning was near to zero. 142 CBCT images were acquired. During the
image registration, chest-wall position (CW) was matched based on sternum, chest-wall
contour, and spine. Once the chest-wall was in great position, the
supraclavicular fossa positioning discrepancies were calculated based on the
acromioclavicular joint (ACJ) matching. All three dimensions x (lateral), y
(longitudinal) and z (vertical) were recorded.
Results
The supraclavicular fossa accuracy in three
dimensional were calculated using the formula: ΔX=|X-cw-X-acj︱, ΔY =|Y-cw-Y-acj︱, ΔZ =|Z-cw-Z-acj︱. The vector is measured using d=√(ΔX² +ΔY² +ΔZ² ). The
result showed that the supraclavicular fossa positioning discrepancies were 0.12±0.10cm, 0.10±0.13cm and 0.11±0.12cm in x, y and z directions. The vector, d = 0.16±0.14cm.
Conclusion
‘Treatment capture’ function can provide
accurate 3D arm position information. It ensures an accurate and reproducible
supraclavicular fossa position which benefits to the dose delivery precision for
mastectomy patients and potentially protects the organs at risk such as spinal
cord, thyroid gland and brachial plexus.