Literature DB >> 27262146

Automated Quantitative Computed Tomography Versus Visual Computed Tomography Scoring in Idiopathic Pulmonary Fibrosis: Validation Against Pulmonary Function.

Joseph Jacob1, Brian J Bartholmai, Srinivasan Rajagopalan, Maria Kokosi, Arjun Nair, Ronald Karwoski, Sushravya M Raghunath, Simon L F Walsh, Athol U Wells, David M Hansell.   

Abstract

PURPOSE: The aim of the study was to determine whether a novel computed tomography (CT) postprocessing software technique (CALIPER) is superior to visual CT scoring as judged by functional correlations in idiopathic pulmonary fibrosis (IPF).
MATERIALS AND METHODS: A total of 283 consecutive patients with IPF had CT parenchymal patterns evaluated quantitatively with CALIPER and by visual scoring. These 2 techniques were evaluated against: forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), diffusing capacity for carbon monoxide (DLco), carbon monoxide transfer coefficient (Kco), and a composite physiological index (CPI), with regard to extent of interstitial lung disease (ILD), extent of emphysema, and pulmonary vascular abnormalities.
RESULTS: CALIPER-derived estimates of ILD extent demonstrated stronger univariate correlations than visual scores for most pulmonary function tests (PFTs): (FEV1: CALIPER R=0.29, visual R=0.18; FVC: CALIPER R=0.41, visual R=0.27; DLco: CALIPER R=0.31, visual R=0.35; CPI: CALIPER R=0.48, visual R=0.44). Correlations between CT measures of emphysema extent and PFTs were weak and did not differ significantly between CALIPER and visual scoring. Intriguingly, the pulmonary vessel volume provided similar correlations to total ILD extent scored by CALIPER for FVC, DLco, and CPI (FVC: R=0.45; DLco: R=0.34; CPI: R=0.53).
CONCLUSIONS: CALIPER was superior to visual scoring as validated by functional correlations with PFTs. The pulmonary vessel volume, a novel CALIPER CT parameter with no visual scoring equivalent, has the potential to be a CT feature in the assessment of patients with IPF and requires further exploration.

Entities:  

Mesh:

Year:  2016        PMID: 27262146     DOI: 10.1097/RTI.0000000000000220

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  53 in total

1.  Looking at the Airway to Understand Interstitial Lung Disease.

Authors:  Justin M Oldham
Journal:  Ann Am Thorac Soc       Date:  2019-04

2.  Volume-related structures predict UIP pathology in those with a non-IPF pattern on CT.

Authors:  Jonathan H Chung; Ayodeji Adegunsoye; Justin M Oldham; Rekha Vij; Aliya Husain; Steven M Montner; Ronald A Karwoski; Brian J Bartholmai; Mary E Strek
Journal:  Eur Radiol       Date:  2021-04-13       Impact factor: 5.315

3.  Appreciating the shades of gray: a case for Computer-Aided Nodule Assessment and Risk Yield (CANARY)-based risk stratification of lung adenocarcinomas.

Authors:  Fabien Maldonado; Tobias Peikert; Brian J Bartholmai; Srinivasan Rajagopalan; Ronald A Karwoski
Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

4.  Serial automated quantitative CT analysis in idiopathic pulmonary fibrosis: functional correlations and comparison with changes in visual CT scores.

Authors:  Joseph Jacob; Brian J Bartholmai; Srinivasan Rajagopalan; Maria Kokosi; Ryoko Egashira; Anne Laure Brun; Arjun Nair; Simon L F Walsh; Ronald Karwoski; Athol U Wells
Journal:  Eur Radiol       Date:  2017-09-29       Impact factor: 5.315

Review 5.  Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications.

Authors:  Mario Silva; Gianluca Milanese; Valeria Seletti; Alarico Ariani; Nicola Sverzellati
Journal:  Br J Radiol       Date:  2018-01-12       Impact factor: 3.039

6.  The CALIPER-Revised Version of the Composite Physiologic Index is a Better Predictor of Survival in IPF than the Original Version.

Authors:  Karishma S Hosein; Gianluigi Sergiacomi; Maurizio Zompatori; Marco Mura
Journal:  Lung       Date:  2019-12-02       Impact factor: 2.584

7.  Assessment of Interstitial Lung Disease Using Lung Ultrasound Surface Wave Elastography: A Novel Technique With Clinicoradiologic Correlates.

Authors:  Ryan Clay; Brian J Bartholmai; Boran Zhou; Ronald Karwoski; Tobias Peikert; Thomas Osborn; Srinivasan Rajagopalan; Sanjay Kalra; Xiaoming Zhang
Journal:  J Thorac Imaging       Date:  2019-09       Impact factor: 3.000

Review 8.  [Radiological features of interstitial lung diseases].

Authors:  Sabine Dettmer; Sarah Scharm; Hoen-Oh Shin
Journal:  Pathologe       Date:  2021-01-26       Impact factor: 1.011

9.  Influence of Inspiratory/Expiratory CT Registration on Quantitative Air Trapping.

Authors:  Oliver Weinheimer; Benjamin A Hoff; Aleksa B Fortuna; Antonio Fernández-Baldera; Philip Konietzke; Mark O Wielpütz; Terry E Robinson; Craig J Galbán
Journal:  Acad Radiol       Date:  2018-12-10       Impact factor: 3.173

10.  Traction Bronchiectasis/Bronchiolectasis is Associated with Interstitial Lung Abnormality Mortality.

Authors:  Tomoyuki Hida; Mizuki Nishino; Takuya Hino; Junwei Lu; Rachel K Putman; Elias F Gudmundsson; Tetsuro Araki; Vladimir I Valtchinov; Osamu Honda; Masahiro Yanagawa; Yoshitake Yamada; Akinori Hata; Masahiro Jinzaki; Noriyuki Tomiyama; Hiroshi Honda; Raul San Jose Estepar; George R Washko; Takeshi Johkoh; David C Christiani; David A Lynch; Vilmundur Gudnason; Gunnar Gudmundsson; Gary M Hunninghake; Hiroto Hatabu
Journal:  Eur J Radiol       Date:  2020-05-18       Impact factor: 3.528

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