CT-Derived Quantitative Image Features Predict Neoadjuvant Treatment Response in Adenocarcinoma of the Gastroesophageal Junction with High Accuracy
Posttreatment CE-CT can predict histopathological therapy response to neoadjuvant treatment in adenocarcinoma of GEJ patients with high accuracy and thus may improve patient management.
Authors
- Rickmer Braren
- Egon Burian (ORCID: https://orcid.org/0000-0003-0428-8569)
- Sebastian Ziegelmayer (ORCID: https://orcid.org/0000-0001-8724-4718)
- Stefan Reischl (ORCID: https://orcid.org/0000-0001-7341-4296)
- Florian T. Gassert (ORCID: https://orcid.org/0000-0003-4126-462X)
- Jeannine Bachmann
- Markus Graf (ORCID: https://orcid.org/0000-0002-4668-0326)
- Marcus R. Makowski (ORCID: https://orcid.org/0000-0001-8778-647X)
- Philipp Raffler (ORCID: https://orcid.org/0009-0006-7269-4998)
- Yannick Teumer (ORCID: https://orcid.org/0000-0002-3347-1728)
- Daniel Reim (ORCID: https://orcid.org/0000-0001-9736-3307)
- Fabian Lohöfer (ORCID: https://orcid.org/0000-0002-0370-122X)
- Alexander Wolfgang Marka (ORCID: https://orcid.org/0000-0002-2111-8177)
Institutions
- German Cancer Research Center (DE)
- Universität Ulm (DE)
- University of Zurich (CH)
- Heidelberg University (DE)
- TUM Klinikum (DE)
- University Hospital of Zurich (CH)
- Technical University of Munich (DE)
Publication Details
- Journal
- Cancers
- Published
- 2025-01-10
- DOI
- https://doi.org/10.3390/cancers17020216
- Citations
- 1
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01