We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Workflow-centred evaluation of an automatic lesion tracking software for chemotherapy monitoring by CT.
- Authors
Moltz JH; D'Anastasi M; Kießling A; Pinto Dos Santos D; Schülke C; Peitgen HO; Moltz, Jan Hendrik; D'Anastasi, Melvin; Kiessling, Andreas; Pinto dos Santos, Daniel; Schülke, Christoph; Peitgen, Heinz-Otto
- Abstract
<bold>Objectives: </bold>In chemotherapy monitoring, an estimation of the change in tumour size is an important criterion for the assessment of treatment success. This requires a comparison between corresponding lesions in the baseline and follow-up computed tomography (CT) examinations. We evaluate the clinical benefits of an automatic lesion tracking tool that identifies the target lesions in the follow-up CT study and pre-computes the lesion volumes.<bold>Methods: </bold>Four radiologists performed volumetric follow-up examinations for 52 patients with and without lesion tracking. In total, 139 lung nodules, liver metastases and lymph nodes were given as target lesions. We measured reading time, inter-reader variability in lesion identification and volume measurements, and the amount of manual adjustments of the segmentation results.<bold>Results: </bold>With lesion tracking, target lesion assessment time decreased by 38 % or 22 s per lesion. Relative volume difference between readers was reduced from 0.171 to 0.1. Segmentation quality was comparable with and without lesion tracking.<bold>Conclusions: </bold>Our automatic lesion tracking tool can make interpretation of follow-up CT examinations quicker and provide results that are less reader-dependent.<bold>Key Points: </bold>Computed tomography is widely used to follow-up lesions in oncological patients. Novel software automatically identifies and measures target lesions in oncological follow-up examinations. This enables a reduction of target lesion assessment. The automated measurements are less reader-dependent.
- Publication
European Radiology, 2012, Vol 22, Issue 12, p2759
- ISSN
0938-7994
- Publication type
journal article
- DOI
10.1007/s00330-012-2545-8