Literature DB >> 31063425

Visual and Automated CT Measurements of Lung Volume Loss in Idiopathic Pulmonary Fibrosis.

Hasti Robbie1, Athol U Wells2, Joseph Jacob3, Simon L F Walsh1, Arjun Nair4, Ahagasthikan Srikanthan5, Priscilla Tazoniero6, Anand Devaraj2.   

Abstract

OBJECTIVE. The purpose of this study is to establish the relationship between CT markers of lung volume and pulmonary function test (PFT) parameters of lung volume in idiopathic pulmonary fibrosis (IPF). MATERIALS AND METHODS. The relationships between PFT-derived parameters of lung volume (forced vital capacity [FVC] and total lung capacity [TLC]) and both CT-derived automated lung volume and manually derived surrogate measurements of lung volume on CT were evaluated in 273 patients (212 men and 61 women; median age, 67 years) with a multidisciplinary diagnosis of IPF. All patients underwent unenhanced volumetric high-resolution CT of the thorax. Automated lung volume was extracted using commercially available software. Three manual CT surrogate measurements of lung volume previously tested in the setting of radiation-induced lung fibrosis were evaluated by two raters. These measurements were lung height, aortosternal distance, and oblique fissure retraction distance. Fibrosis extent on CT was scored by two observers. Correlation coefficients and multivariable regression analyses were performed to assess the relationship between CT measurements and percentage of predicted FVC (hereafter referred to as "percentage FVC") and TLC. Interobserver agreement for CT markers was evaluated on the basis of the intraclass correlation coefficient. RESULTS. There was a strong correlation between CT-derived automated lung volume and TLC (rP = 0.92; p < 0.0005). There was excellent interobserver agreement for all manual CT measurements (intraclass correlation coefficient, 0.82-0.96). There were significant correlations between manual CT measurements and percentage FVC. Lung height had the strongest relationship with percentage FVC (rP = 0.44; p < 0.0005). In multivariable analysis, the CT measurements were independent determinants of lung volumes, after adjustment for fibrosis and emphysema (R2 = 0.48; p < 0.0005 and p < 0.003, respectively). Lung height had the most significant impact on the fit against lung volumes. CONCLUSION. Automated and manual CT measurements of lung volume are significantly related to PFT-derived parameters of lung volume, independent of fibrosis and emphysema.

Entities:  

Keywords:  diagnostic imaging; idiopathic pulmonary fibrosis; interstitial lung diseases; lung; spiral CT

Mesh:

Year:  2019        PMID: 31063425     DOI: 10.2214/AJR.18.20884

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  8 in total

1.  Standardised 3D-CT lung volumes for patients with idiopathic pulmonary fibrosis.

Authors:  Yuko Tanaka; Yuzo Suzuki; Hirotsugu Hasegawa; Koshi Yokomura; Atsuki Fukada; Yusuke Inoue; Hironao Hozumi; Masato Karayama; Kazuki Furuhashi; Noriyuki Enomoto; Tomoyuki Fujisawa; Yutaro Nakamura; Naoki Inui; Takafumi Suda
Journal:  Respir Res       Date:  2022-06-01

2.  Automatic quantitative computed tomography measurement of longitudinal lung volume loss in interstitial lung diseases.

Authors:  Mouhamad Nasser; Marion Colevray; Salim A Si-Mohamed; Olivier Nempont; Pierre-Jean Lartaud; Anna Vlachomitrou; Thomas Broussaud; Kais Ahmad; Julie Traclet; Vincent Cottin; Loic Boussel
Journal:  Eur Radiol       Date:  2022-01-14       Impact factor: 7.034

3.  Three-Dimensional CT for Quantification of Longitudinal Lung and Pneumonia Variations in COVID-19 Patients.

Authors:  Qiuying Chen; Lv Chen; Shuyi Liu; Luyan Chen; Minmin Li; Zhuozhi Chen; Jingjing You; Bin Zhang; Shuixing Zhang
Journal:  Front Med (Lausanne)       Date:  2021-03-25

Review 4.  The Role of Radiology in Progressive Fibrosing Interstitial Lung Disease.

Authors:  Ahmad Abu Qubo; K M Capaccione; Elana J Bernstein; Maria Padilla; Mary Salvatore
Journal:  Front Med (Lausanne)       Date:  2022-01-13

5.  High-Resolution CT Change over Time in Patients with Idiopathic Pulmonary Fibrosis on Antifibrotic Treatment.

Authors:  Elisabetta Balestro; Elisabetta Cocconcelli; Chiara Giraudo; Roberta Polverosi; Davide Biondini; Donato Lacedonia; Erica Bazzan; Linda Mazzai; Giulia Rizzon; Sara Lococo; Graziella Turato; Mariaenrica Tinè; Manuel G Cosio; Marina Saetta; Paolo Spagnolo
Journal:  J Clin Med       Date:  2019-09-15       Impact factor: 4.241

6.  Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia.

Authors:  Tae Iwasawa; Midori Sato; Takafumi Yamaya; Yozo Sato; Yoshinori Uchida; Hideya Kitamura; Eri Hagiwara; Shigeru Komatsu; Daisuke Utsunomiya; Takashi Ogura
Journal:  Jpn J Radiol       Date:  2020-03-31       Impact factor: 2.374

7.  AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia.

Authors:  Selin Ardali Duzgun; Gamze Durhan; Figen Basaran Demirkazik; Ilim Irmak; Jale Karakaya; Erhan Akpinar; Meltem Gulsun Akpinar; Ahmet Cagkan Inkaya; Serpil Ocal; Arzu Topeli; Orhan Macit Ariyurek
Journal:  J Comput Assist Tomogr       Date:  2021 Nov-Dec 01       Impact factor: 1.826

Review 8.  A contemporary practical approach to the multidisciplinary management of unclassifiable interstitial lung disease.

Authors:  Christopher J Ryerson; Tamera J Corte; Jeffrey L Myers; Simon L F Walsh; Sabina A Guler
Journal:  Eur Respir J       Date:  2021-12-16       Impact factor: 16.671

  8 in total

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