- AutorIn
- Hans‑Jonas Meyer
- Benedikt Schnarkowski
- Johanna Pappisch
- Teresa Kerkhoff
- Hubert Wirtz
- Anne‑Kathrin Höhn
- Sebastian Krämer
- Timm Denecke
- Jakob Leonhardi
- Armin Frille
- Titel
- CT texture analysis and node-RADS CT score of mediastinal lymph nodes: diagnostic performance in lung cancer patients
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-1041376
- Quellenangabe
- Cancer imaging: the official publication of the International Cancer Imaging Society
Erscheinungsjahr: 2022
Jahrgang: 22
E-ISSN: 1470-7330
Artikelnummer: 75 - Erstveröffentlichung
- 2022
- Abstract (EN)
- Background: Texture analysis derived from computed tomography (CT) can provide clinically relevant imaging biomarkers. Node‑RADS is a recently proposed classification to categorize lymph nodes in radiological images. The present study sought to investigate the diagnostic abilities of CT texture analysis and Node‑RADS to discriminate benign from malignant mediastinal lymph nodes in patients with lung cancer. Methods: Ninety‑one patients (n = 32 females, 35%) with a mean age of 64.8 ± 10.8 years were included in this retro‑ spective study. Texture analysis was performed using the free available Mazda software. All lymph nodes were scored accordingly to the Node‑RADS classification. All primary tumors and all investigated mediastinal lymph nodes were histopathologically confirmed during clinical workup. Results: In discrimination analysis, Node‑RADS score showed statistically significant differences between N0 and N1‑3 (p < 0.001). Multiple texture features were different between benign and malignant lymph nodes: S(1,0)Ang‑ ScMom, S(1,0)SumEntrp, S(1,0)Entropy, S(0,1)SumAverg. Correlation analysis revealed positive associations between the texture features with Node‑RADS score: S(4,0)Entropy (r = 0.72, p < 0.001), S(3,0) Entropy (r = 0.72, p < 0.001), S(2,2) Entropy (r = 0.72, p < 0.001). Conclusions: Several texture features and Node‑RADS derived from CT were associated with the malignancy of mediastinal lymph nodes and might therefore be helpful for discrimination purposes. Both of the two quantitative assessments could be translated and used in clinical routine.
- Andere Ausgabe
- Erstveröffentlichung
DOI: 10.1186/s40644-022-00506-x
Link: https://link.springer.com/content/pdf/10.1186/s40644-022-00506-x.pdf - Freie Schlagwörter (EN)
- Computed tomography, Lymph node, Lung cancer, Texture
- Klassifikation (DDC)
- 610
- Verlag
- BMC, part of Springer Nature, London, Heidelberg, New York, NY :
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-1041376
- Veröffentlichungsdatum Qucosa
- 24.04.2026
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis