Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Gynaecological
Poster (digital)
Clinical
ATLAS BASED AUTOSEGMENTATION OF ORGANS AT RISK IN GYNAECOLOGICAL CANCER
Paolo Caricato, Italy
PO-1334

Abstract

ATLAS BASED AUTOSEGMENTATION OF ORGANS AT RISK IN GYNAECOLOGICAL CANCER
Authors:

Paolo Caricato1,2, Sara Trivellato1, Elisa Bonetto1, Valeria Faccenda1,2, Denis Panizza1,3, Stefano Arcangeli4,3, Sofia Meregalli4

1ASST Monza, Medical Physics Department, Monza, Italy; 2University of Milan, Department of Physics, Milan, Italy; 3University of Milan Bicocca, School of Medicine and Surgery, Milan, Italy; 4ASST Monza, Department of Radiation Oncology, Monza, Italy

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Purpose or Objective

Accurate segmentation of organs at risk (OARs) and target volumes is crucial for radiation treatment planning but highly time-consuming. One commercially available solution is atlas-based auto-segmentation (ABAS, Elekta, Stockholm). Its use aims to reduce time-consumption and inter- and intra-observer’s variability, which may significantly affect dosimetric parameters. The purpose of this study was to investigate the use of ABAS in gynecological clinical routine.

Material and Methods

This feasibility study retrospectively selected 23 patients treated with external beam radiation therapy (EBRT) between 2019 and 2021. Ten out of 23 structure sets were used to create an atlas library in ABAS containing bladder, rectum, and femoral heads carefully defined by two skilled radiation oncologists. The remaining 13 patient CTs were used to test the library performances. The following contour comparison was performed using the Hausdorff distance (HD), the Mean Distance to Agreement (MDA), the Dice similarity Index (DI), and the Jaccard Index (JI). The results were compared performing the Wilcoxon Mann Whitney test to assess statistical significance (α=0.05).

Results

The auto-segmentation process required about 6 minutes for each CT set. Figures 1 and 2 show the geometrical metric results. The median HD, MDA, DI, and JI values for the right femoral head were 7.44 mm [3.66 – 17.77 mm], 1.20 mm [0.67 – 2.12 mm], 0.89 [0.80 – 0.93], and 0.80 [0.67 – 0.88], retrospectively; for the left femoral head were 7.53 mm [3.87 – 15.54 mm], 1.13 mm [0.74 – 1.39 mm], 0.91 [0.86 – 0.93], and 0.84 [0.76 – 0.87]. On the other hand, median metric values for the bladder were 20.64 mm [12.00 – 34.95 mm], 3.13 mm [1.93 – 11.21 mm], 0.80 [0.36 – 0.87], and 0.66 [0.22 – 0.77], respectively. Lastly, the median metric results for the rectum were 23.79 mm [14.81 – 42.56 mm], 3.58 mm [2.19 – 9.98 mm], 0.64 [0.34 – 0.81], and 0.47 [0.21 – 0.68], respectively. The data comparison showed comparable ABAS performances in rectum and bladder segmentation (p > 0.05) and in right and left femoral heads (p > 0.05). A significant difference was registered for ABAS segmentation performances in bilateral-femoral heads compared to rectum and bladder (p << 0.05).

Conclusion

In these results, ABAS-bilateral-femoral heads segmentation showed higher performance compared to ABAS-bladder and ABAS-rectum segmentation because the significant bone density interface could help ABAS in femoral head delineation. Although in some cases the auto-segmentation still required manual corrections, its implementation in daily clinical practice could change the physician workflow increasing the consistency and the time-saving.