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S203

ESTRO 36

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homogeneity.

Conclusion

The TORUS algorithm is able to automatically generate

trajectories having improved plan quality and delivery

time over standard IMRT and VMAT treatments. TORUS

offers an exciting and promising avenue forward toward

increasing our dynamic capabilities in radiation delivery.

OC-0377 Limited interfractional variabi lity of

respiration-induced tumor motion in esophageal

cancer RT

P. Jin

1

, M.C.C.M. Hulshof

1

, N. Van Wieringen

1

, A. Bel

1

, T.

Alderliesten

1

1

Academic Medical Center, Radiation Oncology,

Amsterdam, The Netherlands

Purpose or Objective

Respiration-induced tumor motion is one of the major

sources of intrafractional uncertainties in esophageal

cancer RT. However, the variability thereof during the

treatment course is unclear. In this study, we investigated

the interfractional variability of respiration-induced

esophageal tumor motion using fiducial markers and 4D-

CBCT.

Material and Methods

We included 24 patients with in total 65 markers

implanted in/around the primary esophageal tumor. Per

patient, a 3D planning CT (pCT) and 7–28 (median: 8) 3D-

CBCTs were acquired. Using the fluoroscopy projection

images of the 3D-CBCTs, 10-breathing-phase 4D-CBCTs

were retrospectively reconstructed. First, for each 4D-

CBCT, the 10 phases were rigidly registered to the pCT

based on the vertebra. Next, each marker in each phase

was registered to its corresponding marker in the pCT to

calculate the peak-to-peak amplitude of the respiration-

induced marker motion and the marker motion trajectory.

The mean and standard deviation (SD) of the peak-to-peak

amplitudes over the treatment course were compared

between the left-right (LR), cranial-caudal (CC), and

anterior-posterior (AP) directions; and between the

proximal, middle, distal esophagus, and proximal

stomach. Further, the SDs of the peak-to-peak amplitudes

and marker positions at the inhalation and exhalation

were calculated to assess the interfractional variability of

amplitude and trajectory shape. The correlation between

the mean peak-to-peak amplitude and these SDs was also

assessed.

Results

Overall, the mean and SD of the peak-to-peak amplitudes

were significantly larger in the CC than in the LR/AP

directions (median of mean[SD] in LR/CC/AP (mm):

2.0[0.6]/6.4[0.9]/2.4[0.7];

p

<0.05, Friedman with

Wilcoxon signed-rank test). It was also found to be

significantly larger for the distal esophagus

(2.6[0.6]/7.3[1.2]/3.1[0.7]) and proximal stomach

(2.2[0.9]/6.8[1.1]/4.2[1.1]) than for the proximal

(1.4[0.4]/2.7[0.7]/1.3[0.4])

and

middle

(1.6[0.5]/3.2[0.6]/1.6[0.5]) esophagus in all three

directions (Fig. 1;

p

<0.05, Kruskal-Wallis with Dunn’s

test). Moreover, the SDs of peak-to-peak amplitudes and

marker positions at the inhalation and exhalation were

≤2.1mm (median: ≤0.9mm) in all three directions,

suggesting a small interfractional variability of the motion

amplitude and a stable trajectory shape (Fig. 2). Further,

a weak correlation (coefficient R: 0.54–0.71,

p

<0.001) was

found between the mean peak-to-peak amplitude and the

interfractional variability of amplitude and trajectory

shape (Fig. 2), implying that in addition to the peak-to-

peak amplitude, other factors such as stomach fillings

could also influence the interfractional variability of

amplitude and trajectory shape.

Conclusion

The amplitude and variability of the respiration-induced

esophageal tumor motion were found to be dependent on

direction and region. The limited interfractional

variability suggests that using a single planning 4D-CT may

be sufficient to take into account the respiration-induced

esophageal tumor motion.