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Geometrical and dosimetric evaluation of breast target volume auto-contouring.

Rita Simões ,
Geert Wortel ,
Terry G Wiersma ,
Tomas M Janssen ,
Uulke A van der Heide ,
Peter Remeijer

Abstract

MATERIALS AND METHODS

Eighty-seven automatically generated and manually edited contours of the left breast were retrieved from our clinical database. The automatic contours were obtained with a commercial auto-segmentation toolbox. The geometrical comparison was performed both locally and globally using the Dice score and the 95% Hausdorff distance (HD). Two treatment plans were generated for each patient and the obtained dosimetric differences were quantified using dose-volume histogram (DVH) parameters in the lungs, heart and planning target volume (PTV). An inter-observer variability study with four observers was performed on a subset of ten patients.

CONCLUSIONS

Cranial under-contouring resulted in under-treatment, while lateroposterior over-contouring resulted in an increased lung dosage that is clinically irrelevant, showing the need to consider dose distributions to assess the clinical impact of local geometrical differences.

RESULTS

A median Dice score of 0.95 and a median 95% HD of 9.7 mm were obtained. Larger breasts were consistently under-contoured. Cranial under-contouring resulted in more than 5% relative decrease in PTV coverage in 15% of the patients while lateroposterior over-contouring increased the lung V20Gy by a maximum of 2%. The inter-observer variability of the PTV coverage was smaller than the difference between PTV coverage achieved by the automatic and the consensus contours.

BACKGROUND AND PURPOSE

Automatic delineations are often used as a starting point in the radiotherapy contouring workflow, after which they are manually reviewed and adapted. The purpose of this work was to quantify the geometric differences between automatic and manually edited breast clinical target volume (CTV) contours and evaluate the dosimetric impact of such differences.

More about this publication

Physics and imaging in radiation oncology

Volume 12
Pages 38-43
Publication date 01-10-2019

Full text links

Publisher website (DOI) 10.1016/j.phro.2019.11.003
Europe PubMed Central 33458293
Pubmed 33458293

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