Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study
SR and TNM classification are underutilized across participating centers for NSCLC staging. Software-assisted SR has emerged as a promising strategy for oncologic assessment. Software-assisted SR facilitates semi-automated TNM classification with improved staging accuracy compared to free-text reports in NSCLC.
Authors
- Michael Ingrisch (ORCID: https://orcid.org/0000-0003-0268-9078)
- Lena M. Unterrainer
- Lisa C. Adams (ORCID: https://orcid.org/0000-0001-5836-4542)
- Matthias P. Fabritius (ORCID: https://orcid.org/0000-0002-3471-4701)
- Markus Kopp (ORCID: https://orcid.org/0000-0002-9267-8622)
- Anna Theresa Stüber (ORCID: https://orcid.org/0000-0001-5236-4373)
- Okka W. Hamer (ORCID: https://orcid.org/0000-0002-8889-4883)
- Annette Thurner (ORCID: https://orcid.org/0000-0002-5557-6563)
- Boj Hoppe (ORCID: https://orcid.org/0000-0001-6248-5128)
- Timo Trzaska
- Inka Ristow (ORCID: https://orcid.org/0000-0002-3032-2321)
- Matthias Brendel (ORCID: https://orcid.org/0000-0002-9247-2843)
- Amanda Tufman (ORCID: https://orcid.org/0000-0001-9243-9050)
- Emma Zöller
- Jens Ricke (ORCID: https://orcid.org/0000-0001-8762-8594)
- Katharina Maurer
- Maurice M. Heimer (ORCID: https://orcid.org/0000-0002-0940-0161)
- Felix L. Herr
- David Kaufmann (ORCID: https://orcid.org/0000-0002-9465-1263)
- Judith Spiro (ORCID: https://orcid.org/0000-0003-2560-2713)
- Yevgeniy Dikhtyar
- Matthias May (ORCID: https://orcid.org/0000-0002-2540-850X)
- Tanja Burkard
- Clemens C. Cyran (ORCID: https://orcid.org/0000-0001-5630-6242)
Institutions
- Universität Hamburg (DE)
- German Center for Neurodegenerative Diseases (DE)
- University Hospital Augsburg (DE)
- LMU Klinikum (DE)
- University Hospital Regensburg (DE)
- Universitätsklinikum Erlangen (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- Munich Cluster for Systems Neurology (DE)
- Universitätsklinikum Würzburg (DE)
- German Center for Lung Research (DE)
- Comprehensive Cancer Center Erlangen (DE)
- Munich Center for Machine Learning
- Technical University of Munich (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1186/s13244-024-01836-z
- Citations
- 1
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Deutsche Forschungsgemeinschaft
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Universitätsklinikum Regensburg
- Technische Universität München
- Ludwig-Maximilians-Universität München
- Deutsches Zentrum für Lungenforschung