Evidence map›Paper›PMID 39242296›Full record

ArticleAcademic radiology2024

Craniofacial Imaging of Pediatric Patients by Ultrashort Echo-Time Bone-Selective MRI in Comparison to CT.

Nada Kamona, Jinggang J Ng, Yohan Kim, Brian-Tinh D Vu, Arastoo Vossough, Connor S Wagner, Holly Cordray, Hyunyeol Lee, Dillan F Villavisanis, Chamith S Rajapakse and 2 more

Abstract readComparative Study
In one paragraph

Article in Academic radiology, 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. Article
  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

12 authors.

Nada KamonaDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Jinggang J NgDivision of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia, Philadelphia, PA.
Yohan KimDivision of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia, Philadelphia, PA.
Brian-Tinh D VuDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Arastoo VossoughDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Connor S WagnerDivision of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia, Philadelphia, PA.
Holly CordrayDivision of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia, Philadelphia, PA.
Hyunyeol LeeDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; School of Electronics Engineering, Kyungpook National University, Daegu, South Korea.
Dillan F VillavisanisDivision of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia, Philadelphia, PA.
Chamith S RajapakseDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Scott P BartlettDivision of Plastic, Reconstructive and Oral Surgery, Children's Hospital of Philadelphia, Philadelphia, PA.
Felix W WehrliDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA. Electronic address: Felix.Wehrli@pennmedicine.upenn.edu.

Funding

Training Program in Musculoskeletal ResearchT32AR007132 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Robert L Mauck, LOUIS J SOSLOWSKY · 1986 to 2026
$4.9M
Training in Structural, Physiologic and Functional MRIT32EB020087 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JAMES C GEE, Chamith Sudesh Rajapakse · 2016 to 2026
$2.1M
Solid-State MRI as a Noninvasive Alternative to Computed Tomography for Craniofacial ImagingR21DE028417 · NIDCR · UNIVERSITY OF PENNSYLVANIA · PI WEHRLI, FELIX W · 2019 to 2020
$457k
NIAMS NIH HHS T32 AR007132NIBIB NIH HHS T32 EB020087NIDCR NIH HHS R21 DE028417
6 · The paper itself

Abstract

RATIONALE AND

objectivesThe emergence of low-dose protocols for CT imaging has mitigated pediatric radiation exposure, yet ionizing radiation remains a concern for children with complex craniofacial conditions requiring repeated radiologic monitoring. In this work, the clinical feasibility of an ultrashort echo time (UTE) MRI sequence was investigated in pediatric patients. MATERIALS AND

methodsTwelve pediatric patients (6 female, age range 8 to 18 years) with various imaging conditions were scanned at 3T using a dual-radiofrequency, dual-echo UTE MRI sequence. Bright-bone images were generated using a weighted least-squares conjugate gradient method to enhance bone specificity. The overlap of the binary skull masks was quantified using the Dice similarity coefficient (DSC) and the 95th percentile Hausdorff distance (HD95) to evaluate the similarity between MRI and CT. To assess the anatomic accuracy of 3D skull reconstructions, six craniometric distances were recorded and the agreement between MRI- and CT-derived measurements was evaluated using Lin's concordance correlation coefficient (ρ

resultsThe bright-bone images from UTE MRI demonstrated high bone-contrast, suppression of soft tissue, and separation from air at the sinuses. The DSC and HD95 between MRI and CT had medians of 0.81 ± 0.10 and 1.87 ± 0.32 mm, respectively. There was good agreement between MRI and CT for all craniometric distances (ρ

conclusionThe clinical feasibility of the UTE MRI sequence for craniofacial imaging was demonstrated in a cohort of pediatric patients, showing good agreement with CT in resolving thin bone structures and craniometry.

Indexed as

Magnetic Resonance ImagingSkullTomography, X-Ray ComputedAdolescentChildFeasibility StudiesFemaleHumansImaging, Three-DimensionalMaleCraniofacialMRIPediatricRadiationUTE

Identifiers

PMID39242296
PMCPMC11525957

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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.