Evidence map›Paper›PMID 34520066›Full record

ArticleMedical physics2021

Quantitative lung perfusion blood volume using dual energy CT-based effective atomic number (Z

Ke Li, Yinsheng Li, Zhihua Qi, John W Garrett, Thomas M Grist, Guang-Hong Chen

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ke LiDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Yinsheng LiDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Zhihua QiDepartment of Radiology, Henry Ford Health System, Detroit, Michigan, USA.
John W GarrettDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Thomas M GristDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Guang-Hong ChenDepartment of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
University of Wisconsin–Madison · USHenry Ford Health System · US

Funding

One Stop Shop Imaging for Acute Ischemic StrokeTreatmentU01EB021183 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG · 2015 to 2020
$3.5M
Functional Lung Imaging Using a Single kV CT AcquisitionR01HL153594 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG, LI, KE · 2021 to 2024
$3.0M
Multi-Contrast X-ray Breast ImagingR01EB020521 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI CHEN, GUANG-HONG, LI, KE · 2016 to 2020
$2.0M
NHLBI NIH HHS R01 HL153594NIBIB NIH HHS R01 EB020521NIBIB NIH HHS U01 EB021183NIH HHS 3R01EB020521-04S1NIH HHS R01HL153594NIH HHS U01EB021183-04S1
6 · The paper itself

Abstract

backgroundIodine material images (aka iodine basis images) generated from dual energy computed tomography (DECT) have been used to assess potential perfusion defects in the pulmonary parenchyma. However, iodine material images do not provide the needed absolute quantification of the pulmonary blood pool, as materials with effective atomic numbers (Z PURPOSE: (i) To demonstrate the limitations of iodine material images in pulmonary perfusion defect quantification and (ii) to develop and validate a new quantitative biomarker using effective atomic numbers derived from DECT images.

methodsThe quantitative relationship between the perfusion blood volume (PBV) in pulmonary parenchyma and the effective atomic number (Z

resultsAmong patients with pulmonary emboli, the proposed

conclusionEffective atomic number-based quantitative PBV maps provide the needed sensitive and specific biomarker to quantify pulmonary perfusion defects.

Indexed as

Pulmonary EmbolismTomography, X-Ray ComputedBlood VolumeHumansLungPerfusionRadiographic Image Enhancementdual energy CTeffective atomic number mapfunctional lung imagingmaterial decompositionmultienergy CTpulmonary embolismpulmonary perfusion imagingquantitative imaging

Identifiers

PMID34520066
PMCPMC8595877
OpenAlexW3199139569

What OpenQuestion holds

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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.