Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy.

ABSTRACT:

Background and purpose

In radiotherapy, automatic organ-at-risk segmentation algorithms allow faster delineation times, but clinically relevant contour evaluation remains challenging. Commonly used measures to assess automatic contours, such as volumetric Dice Similarity Coefficient (DSC) or Hausdorff distance, have shown to be good measures for geometric similarity, but do not always correlate with clinical applicability of the contours, or time needed to adjust them. This study aimed to evaluate the correlation of new and commonly used evaluation measures with time-saving during contouring.

Materials and methods

Twenty lung cancer patients were used to compare user-adjustments after atlas-based and deep-learning contouring with manual contouring. The absolute time needed (

SUBMITTER: Vaassen F 

PROVIDER: S-EPMC7807544 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature