Evidence map›Paper›PMID 31816538›Full record

ArticleClinical imaging2020

Clinical CT underestimation of the percentage volume occupied by cysts in patients with lymphangioleiomyomatosis.

Thomas C Larsen, Amir M Hasani, Shirley F Rollison, Tania R Machado, Amanda M Jones, Patricia Julien-Williams, Marcus Y Chen, Joel Moss, Han Wen

Open access · hybridAbstract read
In one paragraph

Article in Clinical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

9 authors at 2 institutions in 1 country.

Thomas C LarsenNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Amir M HasaniNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Shirley F RollisonNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Tania R MachadoNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Amanda M JonesNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Patricia Julien-WilliamsNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Marcus Y ChenNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Joel MossNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Han WenNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: han.wen@nih.gov.
National Heart Lung and Blood Institute · USNational Institutes of Health · US

Funding

Characterization of the Pathogenesis of Lymphangioleiomyomatosis (LAM)ZIAHL002541 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI MOSS, JOEL · 2009 to 2025
$47.7M
X-ray microscopy for non-invasive biological imagingZIAHL006141 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI WEN, HAN · 2011 to 2025
$13.9M
X-Ray Phase Contrast Imaging Concepts and SystemsZIAHL004606 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI WEN, HAN · 2009 to 2022
$10.1M
Intramural NIH HHS Z99 HL999999Intramural NIH HHS ZIA HL004606Intramural NIH HHS ZIA HL006141
6 · The paper itself

Abstract

purposeTo evaluate the accuracy of cyst score measurements by standard high-resolution helical volume chest CT (HRCT) in patients with lymphangioleiomyomatosis (LAM), using a short z-length ultra-high resolution re-scan (UH re-scan) as the reference. In cystic lung diseases, cyst score is derived from CT scans and defined as the percentage of the total lung parenchymal volume occupied by cysts, a biomarker which measures the severity of the disease.

methodsIn a prospective study of 73 LAM patients, each patient received the standard HRCT chest scan and a short z-length UH re-scan. Cyst scores were acquired from both scans using a standard FDA-approved scoring software on the CT scanner.

resultsThe limited UH re-scan resolved small cysts that were not resolved in the HRCT. The HRCT-derived cyst scores were on average 59.6% of the reference values from the UH re-scan (p = 4.7e-25). The amount of under-estimation by HRCT varied from patient to patient, with an inter-quartile range of 29.8% and standard deviation of 20.7%. The overall trend was more pronounced underestimation for patients with lower cyst scores. For patients whose reference cyst scores were below 15 (n = 29), the HRCT cyst scores were 46.9 ± 21.6% of reference values (p = 7.4e-12), while for the rest of the patients (n = 44) the HRCT cyst scores were 68.0 ± 15.3% of reference values (p = 1.2E-19). Reconstructing the HRCT images to the resolution of the UH re-scan further widened the spread of the discrepancy between HRCT and reference values due to increased image noise, and did not provide accurate cyst scores.

conclusionCyst scores derived from standard high-resolution helical volume chest CT significantly underestimates the percentage lung volume occupied by cysts. This inaccuracy needs to be taken into consideration when cyst score is used as part of the CT assessment of the patient's condition.

Indexed as

AdultAgedCystsFemaleHumansLungLymphangioleiomyomatosisMiddle AgedProspective StudiesReproducibility of ResultsTomography, Spiral ComputedCyst scoreCyst segmentationCyst volumeLymphangioleiomyomatosisShort z-lengthUltra-high resolution CT

Identifiers

PMID31816538
PMCPMC6941194
OpenAlexW2990053372

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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.