Dokument: Diagnostic Potential of Apparent Diffusion Coefficient-Based Lymph Node Classification in Breast Cancer Patients Undergoing [18F]FDG-PET/MRI

Titel:Diagnostic Potential of Apparent Diffusion Coefficient-Based Lymph Node Classification in Breast Cancer Patients Undergoing [18F]FDG-PET/MRI
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=73840
URN (NBN):urn:nbn:de:hbz:061-20260706-123902-5
Kollektion:Publikationen
Sprache:Englisch
Dokumententyp:Wissenschaftliche Texte » Artikel, Aufsatz
Medientyp:Text
Autoren: Peters, Helena A. [Autor]
Scheuer, Marie [Autor]
Weiss, Daniel [Autor]
Boschheidgen, Matthias [Autor]
Ivan, Vivien Lorena [Autor]
Dietzel, Frederic [Autor]
Mohrmann, Svjetlana [Autor]
Ruckhäberle, Eugen [Autor]
Minko, Peter [Autor]
Kirchner, Julian [Autor]
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Dateien vom 06.07.2026 / geändert 06.07.2026
Stichwörter:breast cancer , apparent diffusion coefficient , PET/MRI , lymph node metastases
Beschreibung:Background/Objectives: To evaluate the diagnostic potential of apparent diffusion coefficient (ADC) values for classifying lymph nodes as benign or malignant in breast cancer patients undergoing [18F]FDG-PET/MRI staging. Methods: Mean ADC values and short-axis diameters (±standard deviation) of 199 thoracic lymph nodes in 113 newly diagnosed breast cancer patients were retrospectively analyzed. All patients underwent [18F]FDG-PET/MRI staging, between July 2017 and June 2021. A node-by-node comparison was performed with respect to pathological node status. Nodal FDG uptake in whole-body [18F]FDG-PET/MRI served as reference standard for nodal malignancy. Group comparison using Mann–Whitney U test, receiver operating characteristic curve (ROC) analysis and diagnostic performance were calculated. p values below 0.05 were defined as statistically significant. Confidence intervals (CI; 95%) were calculated. Results: Ninety-three lymph nodes were FDG-negative while 106 lymph nodes were FDG-positive. FDG-negative lymph nodes had significantly lower short-axis diameters ((5.1 ± 1.5 mm versus 12.3 ± 5.3 mm); p < 0.01; U: 405.50; Z: −11.24). ADC values were significantly lower in FDG-positive lymph nodes (0.72 ± 0.14 × 10−3 mm2/s) than in FDG-negative lymph nodes ((1.18 ± 0.18 × 10−3 mm2/s); p < 0.01; U: 173.00; Z: −11.80). ROC analysis and Youden’s index revealed an ADC cut-off of 0.95 × 10−3 mm2/s (AUC: 0.98; p < 0.01; 95% CI: 0.96–1.01). According to the calculated cut-off, sensitivity, specificity, and accuracy of ADC values for differentiating FDG-negative from FDG-positive lymph nodes were 98%, 97% and 97%, respectively. Conclusions: ADC values derived from MRI were significantly associated with FDG uptake in this retrospective cohort and may serve as a complementary imaging biomarker for lymph node characterization.
Rechtliche Vermerke:Originalveröffentlichung:
Peters, H. A., Scheuer, M., Weiß, D. A., Boschheidgen, M., Ivan, V. L., Dietzel, F., Mohrmann, S., Ruckhäberle, E., Herrmann, K., Quick, H. H., Milosevic, A., Minko, P., Kirchner, J. P., Umutlu, L., Antoch, G., & Jannusch, K. (2026). Diagnostic Potential of Apparent Diffusion Coefficient-Based Lymph Node Classification in Breast Cancer Patients Undergoing [18F]FDG-PET/MRI. Diagnostics , 16(11), Article 1712. https://doi.org/10.3390/diagnostics16111712
Lizenz:Creative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz
Fachbereich / Einrichtung:Medizinische Fakultät
Dokument erstellt am:06.07.2026
Dateien geändert am:06.07.2026
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