Evidence map›Paper›PMID 35724658›Full record

ArticlePhysics in medicine and biology2022

Model-based three-material decomposition in dual-energy CT using the volume conservation constraint.

Stephen Z Liu, Matthew Tivnan, Greg M Osgood, Jeffrey H Siewerdsen, J Webster Stayman, Wojciech Zbijewski

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Quantitative Dual-Energy Imaging of Bone Marrow Edema Using Multisource Cone-Beam CT with Model-Based Decomposition.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  8. Feasibility of Dual-Energy Cone-Beam CT of Bone Marrow Edema Using Dual-Layer Flat Panel Detectors.Proceedings of SPIE--the International Society for Optical Engineering
    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.

Stephen Z LiuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.ORCID 0000-0001-9157-4074
Matthew TivnanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.
Greg M OsgoodDepartment of Orthopaedic Surgery, Johns Hopkins University, Baltimore, MD 21205, United States of America.
Jeffrey H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.
J Webster StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.
Wojciech ZbijewskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, United States of America.

Funding

BIOMEDICAL ENGINEERING TRAINING PROGRAMT32GM007057 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O, KARCHIN, RACHEL · 1985 to 2023
$10.4M
Monitoring of fractures with internal fixators using weight-bearing quantitative cone beam CTR01EB025470 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI STAYMAN, JOSEPH WEBSTER, ZBIJEWSKI, WOJCIECH BARTOSZ · 2018 to 2021
$1.5M
NIBIB NIH HHS R01 EB025470NIGMS NIH HHS T32 GM007057
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsCone-Beam Computed TomographyBone and BonesHumansImage Processing, Computer-AssistedKneePhantoms, Imagingbone mineral densitycone-beam CTconstrained optimizationdual-energy CTmaterial decompositionmetal artifactsmodel-based reconstruction

Identifiers

PMID35724658
PMCPMC9297826

What OpenQuestion holds

Textmetadata
LicenceTDM
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.