Automated Quantitative Computed Tomography Versus Visual Computed Tomography Scoring in Idiopathic Pulmonary Fibrosis

Jacob, Joseph; Bartholmai, Brian J.; Rajagopalan, Srinivasan; Kokosi, Maria; Nair, Arjun; Karwoski, Ronald A.; Raghunath, Sushravya; Walsh, Simon L.F.; Wells, Adrian; Hansell, David M.

doi:10.1097/rti.0000000000000220

Cited by 162 publications

(112 citation statements)

References 19 publications

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“…CT, CALIPER and PFT protocols have been previously described [25]. PFTs analysed included forced expiratory volume in one second (FEV1), forced vital capacity (FVC), total lung capacity (TLC), transfer coefficient of the lung for carbon monoxide (Kco), single breath carbon monoxide diffusing capacity corrected for haemoglobin concentration (DLco), and the composite physiologic index (CPI) [26].…”

Section: Methodsmentioning

confidence: 99%

“…Each CT scan was evaluated independently by two radiologists (AB, RE) with 7 and 9 years thoracic imaging experience, respectively, blinded to all clinical information [25]. Visual CT parameters included ground glass opacity, reticular pattern, honeycombing, emphysema, consolidation, mosaicism (decreased attenuation component), and traction bronchiectasis as described in Additional file 1: Appendix.…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study

Jacob

Bartholmai

Rajagopalan

et al. 2016

BMC Med

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BackgroundTo evaluate computer-based computer tomography (CT) analysis (CALIPER) against visual CT scoring and pulmonary function tests (PFTs) when predicting mortality in patients with connective tissue disease-related interstitial lung disease (CTD-ILD). To identify outcome differences between distinct CTD-ILD groups derived following automated stratification of CALIPER variables.MethodsA total of 203 consecutive patients with assorted CTD-ILDs had CT parenchymal patterns evaluated by CALIPER and visual CT scoring: honeycombing, reticular pattern, ground glass opacities, pulmonary vessel volume, emphysema, and traction bronchiectasis. CT scores were evaluated against pulmonary function tests: forced vital capacity, diffusing capacity for carbon monoxide, carbon monoxide transfer coefficient, and composite physiologic index for mortality analysis. Automated stratification of CALIPER-CT variables was evaluated in place of and alongside forced vital capacity and diffusing capacity for carbon monoxide in the ILD gender, age physiology (ILD-GAP) model using receiver operating characteristic curve analysis.ResultsCox regression analyses identified four independent predictors of mortality: patient age (P < 0.0001), smoking history (P = 0.0003), carbon monoxide transfer coefficient (P = 0.003), and pulmonary vessel volume (P < 0.0001). Automated stratification of CALIPER variables identified three morphologically distinct groups which were stronger predictors of mortality than all CT and functional indices. The Stratified-CT model substituted automated stratified groups for functional indices in the ILD-GAP model and maintained model strength (area under curve (AUC) = 0.74, P < 0.0001), ILD-GAP (AUC = 0.72, P < 0.0001). Combining automated stratified groups with the ILD-GAP model (stratified CT-GAP model) strengthened predictions of 1- and 2-year mortality: ILD-GAP (AUC = 0.87 and 0.86, respectively); stratified CT-GAP (AUC = 0.89 and 0.88, respectively).ConclusionsCALIPER-derived pulmonary vessel volume is an independent predictor of mortality across all CTD-ILD patients. Furthermore, automated stratification of CALIPER CT variables represents a novel method of prognostication at least as robust as PFTs in CTD-ILD patients.Electronic supplementary materialThe online version of this article (doi:10.1186/s12916-016-0739-7) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study

Jacob

Bartholmai

Rajagopalan

et al. 2016

BMC Med

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“…The authors evaluated changes in those HRCT-derived patterns between two time points (3-15 months apart) and showed that changes in reticulation and total fibrosis were predictive of survival. Recently, JACOB et al [74] compared quantitatively assessed disease extent on HRCT with visual scores in IPF. When the two techniques were validated against lung function test parameters, CALIPER was superior to the traditional visual scores.…”

Section: Quantitative Computed Tomographymentioning

confidence: 99%

“…In addition, to date, it has primarily focused on evaluating the extent of parenchymal abnormalities as a surrogate for fibrosis severity, with less emphasis on other variables such as lung volumes [73,74] or the degree of traction bronchiectasis. The issue of CT protocol standardisation is nevertheless equally important, if not more so, for automated evaluation.…”

Section: Strengths and Limitations Of Ct In Staging Of Ipfmentioning

confidence: 99%

Evaluating disease severity in idiopathic pulmonary fibrosis

et al. 2017

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Accurate assessment of idiopathic pulmonary fibrosis (IPF) disease severity is integral to the care provided to patients with IPF. However, to date, there are no generally accepted or validated staging systems. There is an abundance of data on using information acquired from physiological, radiological and pathological parameters, in isolation or in combination, to assess disease severity in IPF. Recently, there has been interest in using serum biomarkers and computed tomography-derived quantitative lung fibrosis measures to stage disease severity in IPF. This review will focus on the suggested methods for staging IPF, at baseline and on serial assessment, their strengths and limitations, as well as future developments.

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“…We strongly encourage all to read our articles to understand if not appreciate the nuances and robustness of the algorithmic components of CANARY. From a pragmatic standpoint, however, this may be a moot point as the performance of CANARY does not appear to be affected by these technical considerations (6,(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22).…”

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confidence: 99%

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

et al. 2016

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Automated Quantitative Computed Tomography Versus Visual Computed Tomography Scoring in Idiopathic Pulmonary Fibrosis

Cited by 162 publications

References 19 publications

Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study

Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study

Evaluating disease severity in idiopathic pulmonary fibrosis

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

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