Evidence map›Paper›PMID 38472263›Full record

ArticleScientific reports2024

Dual-energy computed tomography and micro-computed tomography for assessing bone regeneration in a rabbit tibia model.

Danyang Su, Yan Wu, Shenyu Yang, Duoshan Ma, Haoran Zhang, Yuanbo Ma, Jinlong Liu, Chunyu Wang, Huilong Liu, Xiaopeng Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

10 authors at 1 institution in 1 country.

Danyang SuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan WuDepartment of 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shenyu YangDepartment of 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Duoshan MaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Haoran ZhangDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuanbo MaDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jinlong LiuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chunyu WangDepartment of 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Huilong LiuDepartment of 3D Printing Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaopeng YangDepartment of Medical Equipment, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. 13837141925@163.com.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To gain a more meaningful understanding of bone regeneration, it is essential to select an appropriate assessment method. Micro-computed tomography (Micro-CT) is widely used for bone regeneration because it provides a substantially higher spatial resolution. Dual-energy computed tomography (DECT) ensure shorter scan time and lower radiation doses during quantitative evaluation. Therefore, in this study, DECT and Micro-CT were used to evaluate bone regeneration. We created 18 defects in the tibial plateau of the rabbits and filled them with porous polyetheretherketone implants to promote bone regeneration. At 4, 8, and 12 weeks, Micro-CT and DECT were used to assess the bone repair in the defect region. In comparison to Micro-CT (152 ± 54 mg/cm

Indexed as

Bone RegenerationTibiaAnimalsRabbitsX-Ray MicrotomographyBone regenerationCalcium densityDECTHydroxyapatite densityMicro-CTPorous PEEK implants

Identifiers

PMID38472263
PMCPMC10933353
OpenAlexW4392716983

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.