Evidence map›Paper›PMID 39925379›Full record

ArticleConference proceedings. International Conference on Image Formation in X-Ray Computed Tomography2024

Spectral quantification in different lumen diameters for cardiovascular applications.

Leening P Liu, Martin V Rybertt, Pouyan Pasyar, Nadav Shapira, Harold I Litt, Peter B Noël

Abstract read
In one paragraph

Article in Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Leening P LiuDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Martin V RyberttDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Pouyan PasyarDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Nadav ShapiraDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Harold I LittDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Peter B NoëlDepartment of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.

Funding

Patient-specific, high-sensitivity spectral CT for assessment of pancreatic cancerR01EB030494 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GANG, JIANAN GRACE, NOËL, PETER B · 2021 to 2024
$2.4M
NIBIB NIH HHS R01 EB030494
6 · The paper itself

Abstract

The first clinical dual-source photon-counting CT couples high spatial resolution with spectral imaging that is advantageous to imaging of small vessels, such as the coronary arteries, in cardiovascular disease. While both the high spatial resolution and quantification accuracy have been established in PCCT, the effect of lumen size on spectral quantification has not been evaluated. Phantoms with an internal tube diameter ranging from 4 to 12 mm were printed with calcium-based polylactic acid filament to mimic a coronary artery. These diameter phantoms were filled with solutions with iodine concentrations of 2, 5, and 10 mg/mL and scanned with phantoms of varying sizes on a PCCT. Virtual monoenergetic images (VMI) at 70 keV, iodine density maps, and virtual non-contrast maps were measured to determine the effect of lumen diameter on spectral quantification at different iodine concentrations, radiation doses, and phantom sizes. Each evaluated spectral result exhibited consistent quantification at lumen diameters greater than 6 mm with all phantom sizes. VMI 70 keV were within ±15, ±12, and ±4 of VMI 70 keV at a lumen diameter of 12 mm and the small phantom for iodine concentrations of 2, 5, and 10 mg/mL. At a lumen diameter of 4 mm, significant deviations were present in VMI 70 keV, iodine density maps, and VNC with large phantoms, which averaged 55 HU, 1.4 mg/mL, and 61 HU at an iodine concentration of 5 mg/mL, respectively. The consistent spectral results across lumen diameters demonstrated the synergy between high spatial resolution and quantification that will spur the use of quantitative metrics and development of new applications in diagnostic cardiac imaging.

Indexed as

Cardiac CTIodine QuantificationPhoton-counting CTSpectral CT

Identifiers

PMID39925379
PMCPMC11807396

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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.