Evidence map›Paper›PMID 38604190›Full record

ArticlePhysics in medicine and biology2024

Patient-derived PixelPrint phantoms for evaluating clinical imaging performance of a deep learning CT reconstruction algorithm.

Jessica Y Im, Sandra S Halliburton, Kai Mei, Amy E Perkins, Eddy Wong, Leonid Roshkovan, Olivia F Sandvold, Leening P Liu, Grace J Gang, Peter B Noël

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. LifelikeProceedings of SPIE--the International Society for Optical Engineering · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jessica Y ImDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-6607-872X
Sandra S HalliburtonPhilips Healthcare, Cleveland, OH, United States of America.ORCID 0000-0002-1469-7043
Kai MeiDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-6429-7830
Amy E PerkinsPhilips Healthcare, Cleveland, OH, United States of America.
Eddy WongPhilips Healthcare, Cleveland, OH, United States of America.ORCID 0000-0001-7545-1568
Leonid RoshkovanDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America.
Olivia F SandvoldDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-2247-3445
Leening P LiuDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0003-0560-5394
Grace J GangDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-3882-0210
Peter B NoëlDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-9671-6171

Funding

Framework for radiomics standardization with application in pulmonary CT scansR01EB031592 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI GANG, JIANAN GRACE, STAYMAN, JOSEPH WEBSTER · 2022 to 2025
$2.6M
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
Speckle x-ray imaging: detecting early changes in lung microstructureR01HL166236 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Peter B Noel · 2023 to 2026
$2.4M
Nonlinear performance analysis and prediction for robust low dose lung CTR01CA249538 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GANG, JIANAN GRACE · 2021 to 2024
$2.0M
PixelPrint: a 3D printing platform for creating lifelike patient-based CT phantomsR01EB035092 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Peter B Noel · 2024 to 2026
$1.8M
NCI NIH HHS R01 CA249538NHLBI NIH HHS R01 HL166236NIBIB NIH HHS R01 EB030494NIBIB NIH HHS R01 EB031592NIBIB NIH HHS R01 EB035092
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningImage Processing, Computer-AssistedPhantoms, ImagingTomography, X-Ray ComputedAlgorithmsHumansLungRadiation DosageSignal-To-Noise Ratio3D-printed phantom3D-printingCT imaging phantomsdeep learning reconstructiondose reductionimage quality assessment

Identifiers

PMID38604190
PMCPMC11097966

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.