Main Session
Sep 29
SS 32 - Motion Management and Novel Onboard Imaging

266 - Time-Dependent Solution to the Van Herk PTV Margin Formalism for Brain, Head-and-Neck, Thorax, Breast, Abdomen and Pelvis Sites via 33,000 Image Pairs

12:30pm - 12:40pm ET
Room 258

Presenter(s)

Joel Pogue, PhD Headshot
Joel Pogue, PhD - University of Alabama at Birmingham, Birmingham, AL

J. A. Pogue1, R. A. Cardan1, S. Shen2, M. Soike2, and R. A. Popple2; 1University of Alabama at Birmingham, Birmingham, AL, 2University of Alabama at Birmingham Department of Radiation Oncology, Birmingham, AL

Purpose/Objective(s):

Numerous studies have 1) demonstrated target baseline positional drift and 2) used the van Herk formalism for PTV assessment. However, few studies derive time-dependent PTV margins and are limited to single sites and smaller datasets. Under the hypothesis that random set-up uncertainty s is time-dependent, we analyzed, to our knowledge, the largest dataset of image–couch shift pairs to quantify time-dependent PTV margins for brain, head-and-neck (HN), thorax, breast, abdomen, and pelvis sites.

Materials/Methods:

Our entire institutional database was queried for couch positions, shifts, and timestamps from 5 years of conventional IGRT (100,019 sessions). Random set-up uncertainty s was calculated using the van Herk formalism as the root mean square (RMS) of the per-patient standard deviation (SD) of random error, defined as shifts after subsequent imaging of the same modality (kV/CBCT), i.e., repeat imaging after initial alignment. For time-dependent analysis, per-patient SD was evaluated versus mean time between images in the lat, lng, and vrt directions. RMS was calculated in sequential (increasing time) 40-patient groups to obtain sLat, sLng, and sVrt, then combined in quadrature to derive sTotal. Group-wise sTotal values were assigned to the mean inter-image time and fit linearly versus time to obtain sTotal(t). Time-dependent isotropic PTV margins were then calculated as 2.5·S + 0.7·sTotal(t), where S = 0.5 mm represents a systematic imaging–treatment isocenter offset.

Results:

33,792 shifts from 3,243 patients were analyzed (Table 1). sLat, sLng, sVrt, and sTotal were strongly correlated to time, with R² = 0.88 for brain and R² = 0.95 for other sites. Brain had the lowest per-patient dispersion of random errors, and thus the lowest slope of sTotal vs. time (0.7 mm/min); breast had the largest (1.5 mm/min). Instantaneous PTV margins reached 3 mm at 3.7 / 3.1 min for brain / HN, and 5 mm at 4.9 / 3.6 / 4.8 / 4.7 min for thorax / breast / abdomen / pelvis. The average margin required from time 0?T equaled 3 mm at 7.3 / 6.1 min for brain / HN, and 5 mm at 9.8 / 7.2 / 9.6 / 9.4 min for thorax / breast / abdomen / pelvis.

Conclusion:

Findings support our hypothesis — PTV margins are time-dependent across sites, with standard margins lasting ~6 min for HN, ~7 min for brain and breast, and ~10 min for thorax, abdomen, and pelvis, including time required for imaging and alignment. Clinics should consider: 1) active monitoring, 2) time-dependent re-imaging criteria, 3) increased margins, or 4) increased delivery speed when small margins are required.

Abstract 266 - Table 1.

Brain

HN

Thorax

Breast

Abdomen

Pelvis

# Patients

569

585

663

493

364

569

# Shifts / Image-Pairs

7,219

7,313

7,276

3,903

3,492

4,589

Slope of sTotal vs. time (mm/min)

+0.7

+0.8

+1.1

+1.5

+1.1

+1.1

R2 of sTotal vs. time

0.90

0.99

0.99

0.98

0.98

0.98

Time, Instantaneous PTV margin = 3 mm (min)

3.7

3.1

Time, Instantaneous PTV margin = 5 mm (min)

4.9

3.6

4.8

4.7

Time, Average PTV margin 0 ? T = 3 mm (min)

7.3

6.1

Time, Average PTV margin 0 ? T = 5 mm (min)

9.8

7.2

9.6

9.4