Evidence map›Paper›PMID 36622412›Full record

Trial reportEuropean radiology2023

Exploration of thoracoabdominal aortic mixed reality optimisation and its clinical application value in type A aortic dissection.

Guan Li, Lei Zhang, Tao Liu, Jinbao Wang, Zhiqiang Cao, Guangming Lu, Longjiang Zhang

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European radiology, 2023. 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
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  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

7 authors at 4 institutions in 1 country.

Guan LiDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, 305 Eastern Zhongshan Road, Nanjing, 210002, China.
Lei ZhangDepartment of Cardiovascular Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Tao LiuDepartment of Cardiovascular Surgery, General Hospital of Northern Theater Command, Shenyang, China.
Jinbao WangDepartment of Radiology, General Hospital of Northern Theater Command, Shenyang, China.
Zhiqiang CaoDepartment of Digital Lab, Shengjing Hospital Affiliated with China Medical University, Shenyang, China.
Guangming LuDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, 305 Eastern Zhongshan Road, Nanjing, 210002, China. cjr.luguangming@vip.163.com.
Longjiang ZhangDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, 305 Eastern Zhongshan Road, Nanjing, 210002, China. kevinzhlj@163.com.
General Hospital of Shenyang Military Region · CNNanjing General Hospital of Nanjing Military Command · CNNanjing University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to explore the feasibility of low-dose computed tomography (CT)-based mixed reality and its clinical role in type A aortic dissection (TAAD) operations.

methodsEighty-seven patients diagnosed with TAAD were prospectively enrolled and underwent thoracoabdominal aorta mixed reality. They were randomly divided into a low-dose mixed reality group, a conventional mixed reality group and a conventional thoracoabdominal aorta computed tomography angiography (CTA) group. Three-dimensional modelling, mixed reality and CT reconstruction technology were selected. The radiation dose and image quality were compared using Student's t test. Doctors with different seniorities evaluated the clinical application value of thoracoabdominal aorta mixed reality using a Likert scale. The consistency was assessed using the Cohen kappa coefficient (k). The Pearson chi-square test was used to test the correlation of perioperative index results in TAAD operations.

resultsLow-dose CT technology can be effectively applied to thoracoabdominal aorta mixed reality and reduces the radiation dose by approximately 59% and the operation time and auxiliary cardiopulmonary bypass time by approximately 22% and 29%, respectively. The subjective scores of doctors with different seniorities on the clinical application value of thoracoabdominal aorta mixed reality were higher than those of thoracoabdominal aorta CTA (all p > 0.05).

conclusionsLow-dose CT can be effectively used in thoracoabdominal aortic mixed reality to reduce the radiation dose while ensuring quality. Low-dose thoracoabdominal aortic mixed reality has clinical application value and can effectively reduce the operation time and auxiliary cardiopulmonary bypass time in TAAD operations. KEY POINTS: • Low-dose CT technology can ensure the mixed reality quality of the thoracoabdominal aorta with a radiation dose reduction of approximately 59%. • Compared with thoracoabdominal aorta CTA, low-dose thoracoabdominal aorta mixed reality can reduce the operation time and auxiliary cardiopulmonary bypass time by approximately 20% and 29%, respectively, in TAAD operations. • The application value of low-dose thoracoabdominal aorta mixed reality in operation scheme formulation, operation risk assessment, operation navigation and diagnosis and treatment under safe distance was greater than that of thoracoabdominal aorta CTA in TAAD.

Indexed as

Aortic DissectionAugmented RealityAortaAzidesComputed Tomography AngiographyDeoxyglucoseHumans1,3,4,6-tetra-O-acetyl-2-azido-2-deoxyglucopyranoseAzidesDeoxyglucoseAngiographyAortic dissectionComputed tomography angiographyImaging, three-dimensional

Identifiers

PMID36622412
OpenAlexW4313877482

What OpenQuestion holds

Textmetadata
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.