Quantitative computed tomography texture analysis for estimating histological subtypes of thymic epithelial tumors

Quantitative computed tomography texture analysis for estimating histological subtypes of thymic epithelial tumors

Highlights • Using mean0 u and entropy6 u in combination, HTET can be differentiated from LTET. • Using mean0c, HTET can be differentiated from LTET. • Quantitative texture analysis outperforms subjective visual heterogeneity analysis.

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Bibliographische Detailangaben
Veröffentlicht in:European journal of radiology 2017-07, Vol.92, p.84-92
Hauptverfasser: Yasaka, Koichiro, Akai, Hiroyuki, Nojima, Masanori, Shinozaki-Ushiku, Aya, Fukayama, Masashi, Nakajima, Jun, Ohtomo, Kuni, Kiryu, Shigeru
Format: Artikel
Sprache:eng
Schlagworte:
Contrast Media
Diagnosis, Differential
Female
Humans
Male
Middle Aged
Neoplasms, Glandular and Epithelial - diagnostic imaging
Neoplasms, Glandular and Epithelial - pathology
Observer Variation
Radiology
Retrospective Studies
ROC Curve
Thymus Neoplasms - diagnostic imaging
Thymus Neoplasms - pathology
Tomography, X-Ray Computed - methods
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Beschreibung
Zusammenfassung:Highlights • Using mean0 u and entropy6 u in combination, HTET can be differentiated from LTET. • Using mean0c, HTET can be differentiated from LTET. • Quantitative texture analysis outperforms subjective visual heterogeneity analysis.
ISSN:0720-048X
1872-7727
DOI:10.1016/j.ejrad.2017.04.017