Abby Y. Ding1, Oi Lei Wong1, Jing Yuan1, Max W.K. Law1, K.F. Cheng2, K. T. Chan2, Gladys G. Lo3, K.Y. Cheung1, and Siu Ki Yu1
1Medical Physics & Research Department, Hong Kong Sanatorium & Hospital, Hong Kong, China, People's Republic of, 2Department of Radiotherapy, Hong Kong Sanatorium & Hospital, Hong Kong, China, People's Republic of, 3Department of Diagnostic & Interventional Radiology, Hong Kong Sanatorium & Hospital, Hong Kong, China, People's Republic of
Synopsis
Current positioning verification in
radiotherapy mainly relies on bony structures using X-ray based imaging
techniques, where visualization of tumor and soft organ-at-risk is relatively
poor. This study aimed to assess the positional repeatability of soft and bony
structures, and investigate the correlation between the positional deviations of
various head and neck (H&N) tissues. Our results suggested that the current positioning verification practice for
radiotherapy relying mainly on bony structure may be inadequate and inefficient
in H&N. MR-simulator may play a potential role in improving H&N radiotherapy by enabling positional verification directly on target
tissues rather than simply on bony structure.
Purpose:
Current positioning verification in
radiotherapy treatment mainly relies on matching bony structures using X-ray
based imaging techniques such as electronic portal imaging, cone beam CT and MV
CT, where visualization of tumour and soft organ-at-risk (OAR) is relatively poor.
With the development of advanced radiotherapy techniques, higher accuracy in
positioning verification by imaging is demanded [1]. MR
simulator (MR-sim) has the advantage of better soft tissue contrast and is
gaining increasing interests in radiotherapy [2]. This
study aimed to assess the positional repeatability of soft tissue and bony
structure in head and neck on healthy volunteers using a commercial 1.5T
MR-sim. By investigating the correlation between the positional deviations of
various head and neck tissues from multiple scans, its implication to current
clinical practice in radiotherapy positioning verification is discussed.
Method:
Four healthy volunteers were scanned (4 times for each subject)
over a 2-month period
using a T2w 3D-CUBE sequence (TR/TE=2000/130ms; voxel-size=0.8x0.8x1mm3; 3D
geometric corrected) with a 1.5T dedicated MR-sim. Each volunteer was immobilized using a personally
customized 5-point open-face thermoplastic mask and a standard head-rest.
Permanent marks were labeled on thermoplastic mask as positioning reference. Volume of interests (VOI) of intervertebral
discs between C2 and C3 (C23), C6 and C7 (C67), brainstem, pituitary gland, eye
balls (eyes), bi-lateral parotid
glands (PGs), mandible and larynx were drawn by a physicist specialized in MRI.
Three-dimensional
volume centroid was calculated for each VOI. Inter-scan positional shift was calculated as the VOI centroid
displacement compared to the first scan of each subject. Correlations between
inter-scan positional shifts on each direction (LR, SI and AP) between pairs of
structures were quantified by Pearson correlation coefficient r. Two-tailed p value was also
calculated.
Results:
Inter-scan positional shifts was plotted, and
statistically significant correlation between pairs of structures were denoted
in Fig. 1. Among all significantly correlated structure pairs, only shifts of
pairs of C23 and
brainstem, pituitary and eyes, mandible and PGs were correlated in all three directions. A global
significant correlation between all pairs of structures was found in SI
direction. C23 exhibited significant correlation with all other structures
in AP direction. Averaged shifts and their range from all scans were summarized
in Tab. 1, mandible exhibited relatively larger shifts in all directions, while
brainstem and pituitary shifted relatively small.
Discussions:
High correlations
in all directions can be found between some neighboring structures (they are C23
and brainstem, pituitary and eyes, mandible and PGs), indicating that positioning
verification of treatment target sites using remote structural landmarks might be problematic in head and neck.
Furthermore, our data suggested that anatomical structures located
superficially (mandible, larynx, PGs and eyes) could present larger
inter-fractional positional variability than those located deeply (C23,
brainstem and pituitary). These probably
attributed to their greater freedom degree of mobility and/or deformation under
immobilization. Different from CT-sim, the couch of MR-sim is only movable in
SI direction for scan, which partially explained the smaller range of tissue
shifts in AP and LR directions. On the other hand, high correlations and larger
range of shifts were noted In SI direction, which might be attributed to the
relatively low MR-sim couch motion reproducibility and/or inadequate
immobilization performance of the open-face thermoplastic mask in this
direction, but yet to be further investigated.
Conclusions:
To conclude, current positioning verification
practice for radiotherapy treatment, which mainly relies on bony structure, may
be inadequate and inefficient in head and neck, as the inter-fractional shift
pattern of treatment target tissues and OARs could be significantly different
from that of bony structure, particularly when they are located distantly. MR-sim
may play a potential role in improving head and neck radiotherapy by enabling
positional verification directly on target tissues rather than simply on bony
structure in the future.
As the inter-fractional shift pattern of target
tissues and OARs could be significantly different from that of bony structure,
particularly when they are located distantly from targets, the current
positioning verification practice for radiotherapy treatment relying mainly on
bony structure may be inadequate and inefficient in head and neck. MR-sim may
play a potential role in improving head and neck radiotherapy by enabling
positional verification directly on target tissues rather than simply on bony
structure in the future.
Acknowledgements
No acknowledgement found.References
[1] van
Kranen S., et al, Int J
Radiat Oncol Biol Phys., 2009 ;73(5).
[2] Karlsson M., et al, Int J Radiat Oncol Biol Phys. 2009;74(2).