Literature DB >> 19394777

Ground-glass opacity: high-resolution computed tomography and 64-multi-slice computed tomography findings comparison.

Gianluigi Sergiacomi1, Carmelo Cicciò, Luca Boi, Luca Velari, Sonia Crusco, Antonio Orlacchio, Giovanni Simonetti.   

Abstract

OBJECTIVE: Comparative evaluation of ground-glass opacity using conventional high-resolution computed tomography technique and volumetric computed tomography by 64-row multi-slice scanner, verifying advantage of volumetric acquisition and post-processing technique allowed by 64-row CT scanner.
METHODS: Thirty-four patients, in which was assessed ground-glass opacity pattern by previous high-resolution computed tomography during a clinical-radiological follow-up for their lung disease, were studied by means of 64-row multi-slice computed tomography. Comparative evaluation of image quality was done by both CT modalities.
RESULTS: It was reported good inter-observer agreement (k value 0.78-0.90) in detection of ground-glass opacity with high-resolution computed tomography technique and volumetric Computed Tomography acquisition with moderate increasing of intra-observer agreement (k value 0.46) using volumetric computed tomography than high-resolution computed tomography.
CONCLUSIONS: In our experience, volumetric computed tomography with 64-row scanner shows good accuracy in detection of ground-glass opacity, providing a better spatial and temporal resolution and advanced post-processing technique than high-resolution computed tomography. Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19394777     DOI: 10.1016/j.ejrad.2009.03.034

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  4 in total

1.  Computed tomography and pathology evaluation of lung ground-glass opacity.

Authors:  Hualong Yu; Shihe Liu; Chuanyu Zhang; Shaoke Li; Jianan Ren; Jingli Zhang; Wenjian Xu
Journal:  Exp Ther Med       Date:  2018-10-22       Impact factor: 2.447

Review 2.  Imaging in idiopathic pulmonary fibrosis: diagnosis and mimics.

Authors:  Bruno Hochhegger; Edson Marchiori; Matheus Zanon; Adalberto Sperb Rubin; Renata Fragomeni; Stephan Altmayer; Carlos Roberto Ribeiro Carvalho; Bruno Guedes Baldi
Journal:  Clinics (Sao Paulo)       Date:  2019-02-04       Impact factor: 2.365

3.  Pixel-based analysis of pulmonary changes on CT lung images due to COVID-19 pneumonia.

Authors:  Elif Soya; Nur Ekenel; Recep Savas; Tugce Toprak; James Bewes; Ozkan Doganay
Journal:  J Clin Imaging Sci       Date:  2022-02-19

4.  Predictive value of mutant p53 expression index obtained from nonenhanced computed tomography measurements for assessing invasiveness of ground-glass opacity nodules.

Authors:  Wei Wang; Jian Li; Ransheng Liu; Aixu Zhang; Zhiyong Yuan
Journal:  Onco Targets Ther       Date:  2016-03-14       Impact factor: 4.147

  4 in total

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