Evidence map›Paper›PMID 26110421›Full record

ArticlePloS one2015

Visual vs Fully Automatic Histogram-Based Assessment of Idiopathic Pulmonary Fibrosis (IPF) Progression Using Sequential Multidetector Computed Tomography (MDCT).

Davide Colombi, Julien Dinkel, Oliver Weinheimer, Berenike Obermayer, Teodora Buzan, Diana Nabers, Claudia Bauer, Ute Oltmanns, Karin Palmowski, Felix Herth and 4 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Computer-Aided Evaluation of Interstitial Lung Diseases.Diagnostics (Basel, Switzerland) · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Davide ColombiDepartment of Surgical Sciences, Section of Diagnostic Imaging at University of Parma, Parma, Italy; Translational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.
Julien DinkelTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany; Department of Clinical Radiology, University of Munich, Munich, Germany.
Oliver WeinheimerTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.
Berenike ObermayerDepartment of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.
Teodora BuzanTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany; Department of Pneumology, Iuliu Hatieganu University of Medicine and Pharmacy in Cluj-Napoca, Cluj-Napoca, Romania.
Diana NabersDivision of Medical and Biological Informatics (E130), German Cancer Research Center (DFKZ), Heidelberg, Germany.
Claudia BauerTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Pneumology and respiratory critical care medicine, Center for interstitial and rare lung diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.
Ute OltmannsTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Pneumology and respiratory critical care medicine, Center for interstitial and rare lung diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.
Karin PalmowskiTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Pneumology and respiratory critical care medicine, Center for interstitial and rare lung diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.
Felix HerthTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Pneumology and respiratory critical care medicine, Center for interstitial and rare lung diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.
Hans Ulrich KauczorTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.
Nicola SverzellatiDepartment of Surgical Sciences, Section of Diagnostic Imaging at University of Parma, Parma, Italy.
Michael KreuterTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Pneumology and respiratory critical care medicine, Center for interstitial and rare lung diseases, Thoraxklinik at University of Heidelberg, Heidelberg, Germany.
Claus Peter HeusselTranslational Lung Research Centre (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany; Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe changes over time in extent of idiopathic pulmonary fibrosis (IPF) at multidetector computed tomography (MDCT) assessed by semi-quantitative visual scores (VSs) and fully automatic histogram-based quantitative evaluation and to test the relationship between these two methods of quantification.

methodsForty IPF patients (median age: 70 y, interquartile: 62-75 years; M:F, 33:7) that underwent 2 MDCT at different time points with a median interval of 13 months (interquartile: 10-17 months) were retrospectively evaluated. In-house software YACTA quantified automatically lung density histogram (10th-90th percentile in 5th percentile steps). Longitudinal changes in VSs and in the percentiles of attenuation histogram were obtained in 20 untreated patients and 20 patients treated with pirfenidone. Pearson correlation analysis was used to test the relationship between VSs and selected percentiles.

resultsIn follow-up MDCT, visual overall extent of parenchymal abnormalities (OE) increased in median by 5%/year (interquartile: 0%/y; +11%/y). Substantial difference was found between treated and untreated patients in HU changes of the 40th and of the 80th percentiles of density histogram. Correlation analysis between VSs and selected percentiles showed higher correlation between the changes (Δ) in OE and Δ 40th percentile (r=0.69; p<0.001) as compared to Δ 80th percentile (r=0.58; p<0.001); closer correlation was found between Δ ground-glass extent and Δ 40th percentile (r=0.66, p<0.001) as compared to Δ 80th percentile (r=0.47, p=0.002), while the Δ reticulations correlated better with the Δ 80th percentile (r=0.56, p<0.001) in comparison to Δ 40th percentile (r=0.43, p=0.003).

conclusionsThere is a relevant and fully automatically measurable difference at MDCT in VSs and in histogram analysis at one year follow-up of IPF patients, whether treated or untreated: Δ 40th percentile might reflect the change in overall extent of lung abnormalities, notably of ground-glass pattern; furthermore Δ 80th percentile might reveal the course of reticular opacities.

Indexed as

AgedDisease ProgressionFemaleHumansIdiopathic Pulmonary FibrosisLungMaleMiddle AgedMultidetector Computed TomographyPyridonesRetrospective StudiesTreatment OutcomepirfenidonePyridones

Identifiers

PMID26110421
PMCPMC4482435

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.