Evidence map›Paper›PMID 29785839›Full record

ArticleJournal of applied clinical medical physics2018

Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner.

Thomas C Larsen, Vissagan Gopalakrishnan, Jianhua Yao, Catherine P Nguyen, Marcus Y Chen, Joel Moss, Han Wen

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Thomas C LarsenNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Vissagan GopalakrishnanNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Jianhua YaoDepartment of Radiology, Hatfield Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Catherine P NguyenNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Marcus Y ChenNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Joel MossNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Han WenNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
National Heart Lung and Blood Institute · USNational Institutes of Health · USNational Institutes of Health Clinical Center · 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
Cardiovascular CT Clinical ResearchZIAHL006220 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI CHEN, MARCUS · 2017 to 2025
$22.5M
X-ray microscopy for non-invasive biological imagingZIAHL006141 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI WEN, HAN · 2011 to 2025
$13.9M
6 · The paper itself

Abstract

We present a solution to meet an unmet clinical need of an in-situ "close look" at a pulmonary nodule or at the margins of a pulmonary cyst revealed by a primary (screening) chest CT while the patient is still in the scanner. We first evaluated options available on current whole-body CT scanners for high resolution screening scans, including ROI reconstruction of the primary scan data and HRCT, but found them to have insufficient SNR in lung tissue or discontinuous slice coverage. Within the capabilities of current clinical CT systems, we opted for the solution of a secondary, volume-of-interest (VOI) protocol where the radiation dose is focused into a short-beam axial scan at the z position of interest, combined with a small-FOV reconstruction at the xy position of interest. The objective of this work was to design a VOI protocol that is optimized for targeted lung imaging in a clinical whole-body CT system. Using a chest phantom containing a lung-mimicking foam insert with a simulated cyst, we identified the appropriate scan mode and optimized both the scan and recon parameters. The VOI protocol yielded 3.2 times the texture amplitude-to-noise ratio in the lung-mimicking foam when compared to the standard chest CT, and 8.4 times the texture difference between the lung mimicking and reference foams. It improved details of the wall of the simulated cyst and better resolution in a line-pair insert. The Effective Dose of the secondary VOI protocol was 42% on average and up to 100% in the worst-case scenario of VOI positioning relative to the standard chest CT. The optimized protocol will be used to obtain detailed CT textures of pulmonary lesions, which are biomarkers for the type and stage of lung diseases.

Indexed as

Radiographic Image Interpretation, Computer-AssistedHumansPhantoms, ImagingReproducibility of ResultsTomography Scanners, X-Ray ComputedTomography, X-Ray ComputedCT VOI protocolhigh resolutionlung texturenodulepulmonary cyst

Identifiers

PMID29785839
PMCPMC6036356
OpenAlexW2803753174

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.