Quantitative analysis for computed tomography findings of various diffuse lung diseases using volume histogram analysis

: The aim of this study was to achieve the quantitative analysis of the characteristic computed tomography (CT) findings and course of interstitial pneumonia using the volume histogram method. : Contrast (CNT), variance (VAR), and entropy (EPY) values from whole-lung volume data were compared betwee...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of computer assisted tomography 2006-03, Vol.30 (2), p.244-249
Hauptverfasser: Sumikawa, Hiromitsu, Johkoh, Takeshi, Yamamoto, Shuji, Takahei, Kazunari, Ueguchi, Takashi, Ogata, Yuji, Matsumoto, Mitsuhiro, Fujita, Yuka, Natsag, Javzandulam, Inoue, Atsuo, Tsubamoto, Mitsuko, Mihara, Naoki, Honda, Osamu, Tomiyama, Noriyuki, Hamada, Seiki, Nakamura, Hironobu
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:: The aim of this study was to achieve the quantitative analysis of the characteristic computed tomography (CT) findings and course of interstitial pneumonia using the volume histogram method. : Contrast (CNT), variance (VAR), and entropy (EPY) values from whole-lung volume data were compared between normal lungs and 5 diseases that have characteristic CT findings. Thirteen cases with nonspecific interstitial pneumonia (NSIP) were evaluated before and after treatment. : In cases with thickening of the bronchovascular bundles and interlobular thickening, ground-glass attenuation, airspace consolidation, and honeycombing, the values of VAR and EPY were greater than those in the normal cases (P < 0.05). In the cases with NSIP, the CNT value after treatment was significantly greater and the values of VAR and EPY after treatment were significantly lower than those before treatment (P < 0.05). : Volume histogram analysis is a promising method for the evaluation of diffuse lung diseases and the effectiveness of treatment.
ISSN:0363-8715
DOI:10.1097/00004728-200603000-00014