Cited by 309Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisOccupational and environmental lung diseasesChronic Obstructive Pulmonary Disease (COPD) Research

Mortality prediction in idiopathic pulmonary fibrosis: evaluation of computer-based CT analysis with conventional severity measures

Open access
Jacob, Joseph, Bartholmai, Brian J., Rajagopalan, Srinivasan, Kokosi, Maria, Nair, Arjun, Karwoski, Ronald, Walsh, Simon L.F., Wells, Athol U. +1 more·2017·European Respiratory Journal

Abstract

Computer-based computed tomography (CT) analysis can provide objective quantitation of disease in idiopathic pulmonary fibrosis (IPF). A computer algorithm, CALIPER, was compared with conventional CT and pulmonary function measures of disease severity for mortality prediction. CT and pulmonary function variables (forced expiratory volume in 1 s, forced vital capacity, diffusion capacity of the lung for carbon monoxide, transfer coefficient of the lung for carbon monoxide and composite physiologic index (CPI)) of 283 consecutive patients with a multidisciplinary diagnosis of IPF were evaluated against mortality. Visual and CALIPER CT features included total extent of interstitial lung disease, honeycombing, reticular pattern, ground glass opacities and emphysema. In addition, CALIPER scored pulmonary vessel volume (PVV) while traction bronchiectasis and consolidation were only scored visually. A combination of mortality predictors was compared with the Gender, Age, Physiology model. On univariate analyses, all visual and CALIPER-derived interstitial features and functional indices were predictive of mortality to a 0.01 level of significance. On multivariate analysis, visual CT parameters were discarded. Independent predictors of mortality were CPI (hazard ratio (95% CI) 1.05 (1.02–1.07), p<0.001) and two CALIPER parameters: PVV (1.23 (1.08–1.40), p=0.001) and honeycombing (1.18 (1.06–1.32), p=0.002). A three-group staging system derived from this model was powerfully predictive of mortality (2.23 (1.85–2.69), p<0.0001). CALIPER-derived parameters, in particular PVV, are more accurate prognostically than traditional visual CT scores. Quantitative tools such as CALIPER have the potential to improve staging systems in IPF.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1183/13993003.01011-2016

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • By measuring pulmonary VRSs, CALIPER software can outperform current gold standard measures of outcome in IPF by strongly predicting survival and likelihood of FVC decline, with effects enhanced over functional indices in patients with less extensive disease.

    “By measuring pulmonary VRSs, the Computer-Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) software can outperform current gold standard measures of outcome in IPF, by strongly predicting survival and likelihood of forced vital capacity (FVC) decline with effects enhanced over functional indices in patients with less extensive disease (Jacob et al., 2017”

    From Pulmonary fibrosis: Emerging diagnostic and therapeutic strategies (2023) · cites this paper as Jacob et al., 2017

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Lynch DA, Godwin JD, Safrin S, et al. High-resolution computed tomography in idiopathic pulmonary fibrosis: diagnosis and prognosis. Am J Respir Crit Care Med 2005; 172: 488-493.

Cited by

Sorted by citations

Authors
Jacob, J., Bartholmai, B. J., Rajagopalan, S., Kokosi, M., Nair, A., Karwoski, R., Walsh, S. L. F., Wells, A. U., & Hansell, D. M.
Affiliations
  • Royal Brompton & Harefield NHS Foundation Trust (GB)
  • Mayo Clinic (US)
Venue
European Respiratory Journal
Published
2016-11-03
Volume
49
Issue
1
Pages
1601011
ISSN
  • 0903-1936 (ISSN-L)
  • 1399-3003
OpenAlex
W2548055772
Cited by
309
References
41
Citations by year
2026: 25 · 2025: 37 · 2024: 36 · 2023: 39 · 2022: 34 · 2021: 30 · 2020: 31 · 2019: 33 · 2018: 21 · 2017: 22 · 2016: 1
FWCI
22.94
Type
journal article
Language
en
Open access
Locations
  • European Respiratory Journal (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Occupational and environmental lung diseases
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
Keywords
idiopathic pulmonary fibrosis, mortality prediction, caliper, honeycombing, disease severity staging, composite physiologic index, lung function, interstitial lung disease, prognostic factors
MeSH terms
Aged, Algorithms, Female, Forced Expiratory Volume, United Kingdom, Humans, Lung, Male, Middle Aged, Prognosis, Retrospective Studies, Severity of Illness Index, Tomography, X-Ray Computed, Vital Capacity, Multivariate Analysis, Proportional Hazards Models, Kaplan-Meier Estimate, Idiopathic Pulmonary Fibrosis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review