In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma.
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| Title: | In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma. |
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| Authors: | Salvermoser L; Department of Radiology, University Hospital, LMU Munich, Germany., Schäfer JN; Department of Radiology, University Hospital, LMU Munich, Germany., Goldberg SN; Goldyne Savad Institute of Gene Therapy and Division of Image-Guided Therapy and Interventional Oncology, Department of Radiology, Hadassah Hebrew University Medical Center, Jerusalem, Israel., Kazmierczak PM; Department of Radiology, University Hospital, LMU Munich, Germany., Gröper MN; Department of Radiology, University Hospital, LMU Munich, Germany., Linden PF; Department of Radiology, University Hospital, LMU Munich, Germany., Öcal E; Department of Radiology, University Hospital, LMU Munich, Germany., Burkard T; Department of Radiology, University Hospital, LMU Munich, Germany., Corradini S; Department of Radiation Oncology, University Hospital, LMU Munich, Germany., Ben Khaled N; Department of Medicine II, University Hospital, LMU Munich, Germany., Wildgruber M; Department of Radiology, University Hospital, LMU Munich, Germany., Seidensticker M; Department of Radiology, University Hospital, LMU Munich, Germany., Ricke J; Department of Radiology, University Hospital, LMU Munich, Germany., Stechele M; Department of Radiology, University Hospital, LMU Munich, Germany., Alunni-Fabbroni M; Department of Radiology, University Hospital, LMU Munich, Germany. |
| Source: | Molecular oncology [Mol Oncol] 2026 Feb; Vol. 20 (2), pp. 480-492. Date of Electronic Publication: 2025 Sep 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons, Inc Country of Publication: United States NLM ID: 101308230 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-0261 (Electronic) Linking ISSN: 15747891 NLM ISO Abbreviation: Mol Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1878-0261 |
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| DOI: | 10.1002/1878-0261.70122 |
