Evidence map›Paper›PMID 38933663›Full record

ArticleChina CDC weekly2024

Establishment and Application of a Radiation Dose Rate Model for Nuclear Medicine Examinees.

Yuehua Hu, Xinyu He, Wenjia Zhao, Lixin Ding, Meiying You, Zihan Li, Xinyu Liu, Miaomiao Wang, Siyi Chen, Ziwei Lu and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yuehua HuOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Xinyu HeDepartment of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan City, Shandong Province, China.
Wenjia ZhaoOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Lixin DingNational Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, Beijing, China.
Meiying YouOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Zihan LiOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Xinyu LiuOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Miaomiao WangOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Siyi ChenNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ziwei LuLaboratory Animal Center, Chinese Center for Disease Control and Prevention, Beijing, China.
Lei QuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China.
Kuke DingOffice of Public Health Management, Chinese Center for Disease Control and Prevention, Beijing, China.
Li ZhangOffice of Public Health Management, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiuxian FuHainan Medical University, Haikou City, Hainan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Traditional methods for determining radiation dose in nuclear medicine include the Monte Carlo method, the discrete ordinate method, and the point kernel integration method. This study presents a new mathematical model for predicting the radiation dose rate in the vicinity of nuclear medicine patients. Methods: A new algorithm was created by combining the physical model of "cylinder superposition" of the human body with integral analysis to assess the radiation dose rate in the vicinity of nuclear medicine patients. Results: The model accurately predicted radiation dose rates within distances of 0.1-3.0 m, with a deviation of less than 11% compared to observed rates. The model demonstrated greater accuracy at shorter distances from the radiation source, with a deviation of only 1.55% from observed values at 0.1 m. Discussion: The model proposed in this study effectively represents the spatial and temporal distribution of the radiation field around nuclear medicine patients and demonstrates good agreement with actual measurements. This model has the potential to serve as a radiation dose rate alert system in hospital environments.

Indexed as

Calculation methodMathematical modelNuclear medicine examineesRadiation dose rate

Identifiers

PMID38933663
PMCPMC11196872

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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.