Effect of Manual Segmentation on the Accuracy of Calculated Absorbed Dose in Liver and Kidney: Comparison with the Automatic Mode in OpenDose3D Parinza Ananda (a), M. Dlorifun Naqiyyun (b), Deni Hardiansyah (a*)
a) Medical Physics and Biophysics, Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia.
*denihardiansyah[at]ui.ac.id
b) Nuclear Medicine Department, MRCCC Siloam Hospital, South Jakarta 12930, Indonesia
Abstract
Background:
This study aimed to observe the effect of manual segmentation on the accuracy of absorbed dose calculations compared to automatic segmentation using OpenDose3D software in patients with neuroendocrine tumors (NETs) treated with Lu-177 DOTATATE. The clinical study included sequential quantitative SPECT/CT scan acquisition and rigid registration.
Methods:
The patient images used in this study were obtained from the University of Michigan Deep Blue data repository, including three SPECT/CT images acquired at multiple time points. For each volume of interest (VOI), absorbed dose values were calculated using both automatic (as the reference) and manual segmentation (as the comparison). The average relative deviation of the absorbed dose between manual and automatic segmentation was calculated to assess segmentation accuracy.
Results:
Based on absorbed dose values from manual segmentations compared to automatic segmentation, relative deviation varied across organs and time points. For the liver, deviations ranged from 1.74% to 8.66%- for the right kidney, from 5.82% to 10.35%. The left kidney showed the highest deviation, with values ranging from 4.69% to 19.15%.
Conclusion:
This study provides insight into the effect of manual segmentation on the accuracy of absorbed dose estimations relative to automatic segmentation.
