Evidence map›Paper›PMID 36155982›Full record

Trial reportPloS one2022

The clinical performance of ultra-low-dose shoulder CT scans: The assessment on image and physical 3D printing models.

Ming Lei, Meng Zhang, Niyuan Luo, Jingzhi Ye, Fenghuan Lin, Yanxia Chen, Jun Chen, Mengqiang Xiao

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2022. 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
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Osteoregenerative Potential of 3D-Printed PolyInternational journal of molecular sciences · 2023
    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

8 authors at 1 institution in 1 country.

Ming LeiDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Meng ZhangDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Niyuan LuoDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Jingzhi YeDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Fenghuan LinDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Yanxia ChenDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Jun ChenDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.
Mengqiang XiaoDepartment of Imaging, Zhuhai Hospital Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China.ORCID 0000-0001-6970-6405
Guangdong Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEvaluation of the clinical performance of ultra-low-dose computed tomography (CT) images of the shoulder joint on image-based diagnosis and three-dimensional (3D) printing surgical planning. MATERIALS AND

methodsA total of 93 patients with displaced shoulder fractures were randomly divided into standard-dose, low-dose, and ultra-low-dose groups. Three-dimensional printing models of all patients' shoulder joints were fabricated. The subjective image quality and 3D-printing model were evaluated by two senior orthopedic surgeons who were blinded to any scanning setting. A 3-point scale system was used to quantitatively assess the image quality and 3D printing model, where more than 2 points meant adequate level for clinical application.

resultsCompared with the standard dose protocol, ultra-low-dose technique reduced the radiation dose by 99.29% without loss of key image quality of fracture pattern. Regarding the subjective image quality, the assessment scores for groups of standard, low, and ultra-low doses were 3.00, 2.76, 2.00 points on scapula and humerus, and 3.00, 2.73, 2.44 points on clavicle. Scores of the three groups for the assessment of 3D printing models were 3.00, 2.80, 1.34 on scapula and humerus, and 3.00, 2.90, 2.06 on clavicle. In the ultra-low-dose group, 24 out of 33 (72.7%) 3D printing models of scapula and humerus received lower than 2 points of the evaluation score, while nearly 94% of the clavicle models reached the adequate level.

conclusionAn ultra-low-dose protocol is adequate for the diagnosis of either displaced or non-displaced fractures of the shoulder joint even though minor flaws of images are present. Three-dimensional printing models of shoulder joints created from ultra-low-dose CT scans can be used for surgical planning at specific bone like the clavicle but perform insufficiently in the overall surgical planning for shoulder injuries due to the significant geometric flaws.

Indexed as

ShoulderShoulder FracturesClavicleHumansPrinting, Three-DimensionalTomography, X-Ray Computed

Identifiers

PMID36155982
PMCPMC9512178
OpenAlexW4297265641

What OpenQuestion holds

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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.