Evidence map›Paper›PMID 30660784›Full record

ArticleChest2019

Use of CT Imaging to Quantify Progression and Response to Treatment in Lymphangioleiomyomatosis.

Vissaagan Gopalakrishnan, Jianhua Yao, Wendy K Steagall, Nilo A Avila, Angelo M Taveira-DaSilva, Mario Stylianou, Marcus Y Chen, Joel Moss

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
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

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

  1. Brazilian Thoracic Association recommendations for the management of lymphangioleiomyomatosis.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2025
    Guideline
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Quantification of Proteus syndrome-associated lung disease.Orphanet journal of rare diseases · 2024
    Article
  7. Article
  8. Sporadic Lymphangioleiomyomatosis Disease: A Case Report.Iranian journal of medical sciences · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. CT grading of lung disease in lymphangioleiomyomatosis.AJR. American journal of roentgenology · 2012
    Article
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

8 authors at 2 institutions in 1 country.

Vissaagan GopalakrishnanPulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD; Rush Medical College, Rush University Medical Center, Chicago, IL.
Jianhua YaoRadiology and Imaging Sciences Department, National Institutes of Health, Bethesda, MD.
Wendy K SteagallPulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Nilo A AvilaPulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD; Radiology Service, Washington DC Veterans Affairs Medical Center, Washington, DC.
Angelo M Taveira-DaSilvaPulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Mario StylianouOffice of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Marcus Y ChenCardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.
Joel MossPulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD. Electronic address: mossj@nhlbi.nih.gov.
National Heart Lung and Blood Institute · USNational Institutes of Health · US

Funding

Cardiovascular CT Clinical ResearchZIAHL006220 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CHEN, MARCUS · 2017 to 2025
$22.5M
Cardiovascular Clinical Section StudiesZICHL006199 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI SACK, MICHAEL · 2017 to 2025
$8.8M
6 · The paper itself

Abstract

backgroundIn lymphangioleiomyomatosis (LAM), infiltration of the lungs with smooth muscle-like LAM cells results in cystic destruction and decline in lung function, effects stabilized by sirolimus therapy. LAM lung disease is followed, in part, by high-resolution CT scans. To obtain further information from these scans, we quantified changes in lung parenchyma by analyzing image "texture."

methodsTwenty-six texture properties were quantified by analyzing the distribution and intensity of pixels with a computer-aided system. Both cross-sectional and longitudinal studies were performed to examine the relationships between texture properties, cyst score (percentage of lung occupied by cysts), FEV

resultsIn the cross-sectional study, 18 texture properties showed significant positive correlations with cyst score. Cyst score and 13 of the 18 texture properties showed significant differences in rates of change after sirolimus treatment; 11 also significantly predicted FEV

conclusionsIncreased cyst score was associated with increased texture degradation near cysts. Sirolimus treatment improved lung texture surrounding cysts and stabilized cyst score. Eleven texture properties were associated with FEV

Indexed as

AdultCross-Sectional StudiesCystsDisease ProgressionFemaleHumansLongitudinal StudiesLung NeoplasmsLymphangioleiomyomatosisMaleMiddle AgedMultidetector Computed TomographyPrognosisRisk AssessmentSirolimusTreatment OutcomeSirolimusCT imagingfunctionlymphangioleiomyomatosispulmonarysirolimus

Identifiers

PMID30660784
PMCPMC6533448
OpenAlexW2909489415

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.