Evidence map›Paper›PMID 36016857›Full record

ArticleJournal of multidisciplinary healthcare2022

The Actual Role of Iterative Reconstruction Algorithm Methods in Several Saudi Hospitals As A Tool For Radiation Dose Minimization of Ct Scan Examinations.

Haney Alsleem, Abdulrahman Tajaldeen, Abdulrahman Almutairi, Hussain Almohiy, Ebtisam Aldaais, Rayan Albattat, Mousa Alsleem, Elfatih Abuelhia, Osama Abdalla Mabrouk Kheiralla, Ahmed Alqahtani and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

13 authors at 6 institutions in 1 country.

Haney AlsleemDepartment of Radiological Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0001-7916-0709
Abdulrahman TajaldeenDepartment of Radiological Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0002-2505-1352
Abdulrahman AlmutairiMedical Imaging Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Hussain AlmohiyRadiological Sciences, King Khalid University, Abha, Saudi Arabia.
Ebtisam AldaaisDepartment of Radiological Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Rayan AlbattatMedical Imaging Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Mousa AlsleemCollege of Dentistry, King Faisal University, Alahsa, Saudi Arabia.
Elfatih AbuelhiaDepartment of Radiological Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0003-4793-8998
Osama Abdalla Mabrouk KheirallaDepartment of Radiological Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0001-7042-2442
Ahmed AlqahtaniRadiology Department, King Saud Medical City, Riyadh, Saudi Arabia.
Salem AlghamdiDepartment of Applied Radiologic Technology, University of Jeddah, Jeddah, Saudi Arabia.
Rowa AljondiDepartment of Applied Radiologic Technology, University of Jeddah, Jeddah, Saudi Arabia.
Renad AlharbiDepartment of Radiology, Specialized Medical Complex, Jeddah, Saudi Arabia.
Imam Abdulrahman Bin Faisal University · SAKing Fahad Specialist Hospital · SAUniversity of Jeddah · SAKing Faisal University · SAKing Khalid University · SAKing Saud Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Iterative reconstruction algorithm (IR) techniques were developed to maintain a lower radiation dose for patients as much as possible while achieving the required image quality and medical benefits. The main purpose of the current research was to assess the level and usage extent of IR techniques in computed tomographic (CT) scan exams. Also, the obligation of practitioners in several hospitals in Saudi Arabia to implement IR in CT exams was assessed. Material and Methodology: The recent research was based on two studies: data collection and a survey study. Data on the CT scan examinations were retrospectively collected from CT scanners. The survey was conducted using a questionnaire to evaluate radiographers' and radiologists' perceptions about IR and their practices with IR techniques. The statistical analysis results were performed to measure the usage strength level of IR methods. Results and Discussions: The IR strength level of 50% was selected for nearly 80% of different CT examinations and patients of different ages and weights. About 46% of the participants had not learned about IR methods during their college studies, and 54% had not received formal training in applying IR techniques. Only 32% of the participants had adequate experience with IR. Half of the participants were not involved in the updating process of the CT protocol. Conclusion: The results indicate that the majority of radiographer and radiologist at four different hospitals in Saudi Arabia have no explicit or understandable knowledge of selecting IR strength levels during the CT examination of patients. There is a need for more training in IR applications for both radiologists and radiographers. Training sessions were suggested to support radiographers and radiologists to efficiently utilize IR techniques to optimize image quality. Further studies are required to adjust CT exam protocols effectively to utilize the IR technique.

Indexed as

ALARAas low as reasonably achievablecomputed tomographyCTFBPfilter back projectionIRiterative reconstruction algorithms

Identifiers

PMID36016857
PMCPMC9398457
OpenAlexW4292239394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.