Reliability of Automated RECIST 1.1 and Volumetric RECIST Target Lesion Response Evaluation in Follow-Up CT—A Multi-Center, Multi-Observer Reading Study
The automated diameter measurement of preselected target lesions in follow-up CT is reliable and can potentially help to accelerate RECIST evaluation.
Authors
- Jan Hendrik Moltz (ORCID: https://orcid.org/0000-0002-7880-1014)
- Konstantin Nikolaou (ORCID: https://orcid.org/0000-0003-2668-7325)
- Sebastian Altmann (ORCID: https://orcid.org/0009-0005-5919-4289)
- Felix Peisen (ORCID: https://orcid.org/0000-0002-4800-8381)
- Alessa Hering (ORCID: https://orcid.org/0000-0002-7602-803X)
- Sergios Gatidis (ORCID: https://orcid.org/0000-0002-6928-4967)
- Manuel Kolb
- Isabel Dahm
- Ahmed E. Othman (ORCID: https://orcid.org/0000-0002-3827-8695)
Institutions
- Johannes Gutenberg University Mainz (DE)
- Fraunhofer Institute for Digital Medicine (DE)
- Analysis Group (United States) (US)
- University of Tübingen (DE)
Publication Details
- Journal
- Cancers
- Published
- 2024-11-29
- DOI
- https://doi.org/10.3390/cancers16234009
- Citations
- 7
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- Deutsche Forschungsgemeinschaft
- Eberhard Karls Universität Tübingen