Evidence map›Paper›PMID 41099889›Full record

ArticleInsights into imaging2025

Can radiology requisition quality reflect clinical reasoning? Insights from a RI-RADS evaluation of emergency CT referrals.

Xianwei Liu, Zhengguang Xiao, Qinghua Min, Tianhao Wu, Yue Xing, Yangfan Hu, Defang Ding, Shun Dai, Junjie Lu, Jiarui Yang and 7 more

Abstract read
In one paragraph

Article in Insights into imaging, 2025. 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
–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

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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.

  1. Article
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4 · The record

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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

17 authors.

Xianwei Liu *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhengguang Xiao *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qinghua Min *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianhao WuDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yue XingDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yangfan HuDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Defang DingDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shun DaiDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junjie LuDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, CA, USA.
Jiarui YangDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Yue LiJacobi Medical Center, Albert Einstein College of Medicine, New York, NY, USA.
Yang SongMR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China.
Minda LuMR Application, Siemens Healthineers Ltd., Shanghai, China.
Jingshen ChuEditorial Office of Journal of Diagnostics Concepts & Practice, Department of Science and Technology Development, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huan ZhangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. huanzhangy@163.com.
Weiwu YaoDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. yaoweiwuhuan@163.com.
Jingyu ZhongDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. wal_zjy@163.com.ORCID http://orcid.org/0000-0002-9817-2294

Funding

Modulation of Gut-Brain Axis Using Fecal Microbiome Transplant Capsules in CirrhosisR21TR002024 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI BAJAJ, JASMOHAN S · 2017 to 2018
$414k
Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery 2024JZWC-YBA07Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery 2024JZWC-ZDA04National Natural Science Foundation of China 82271934National Natural Science Foundation of China 82302183National Natural Science Foundation of China 82471935NCATS NIH HHS R21 TR002024Research Found of Health Commission of Changing District, Shanghai Municipality 2023QN01Research Found of Health Commission of Shanghai Municipality 20244Y0214Research Found of Science and Technology Commission of Changing District, Shanghai Municipality CNKW2024Y07Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TR2024RC16Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRKYRC-XX202204Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYJ2021JC06Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYXJH18Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYXJH28
6 · The paper itself

Abstract

objectivesTo determine radiology requisition quality using reason for exam imaging reporting and data system (RI-RADS), and the associated clinical variables, and whether it can reflect the clinical reasoning quality in emergency CT referrals. MATERIALS AND

methodsThis single-center retrospective study randomly selected emergency CT referrals between 01 January 2024 and 31 December 2024. One radiologist scored the requisition quality using the RI-RADS, and assessed the clinical reasoning quality, evaluating the extent to which the differential diagnoses on the requisition form matched the CT diagnosis on the issued report. The clinical variables associated with RI-RADS A were investigated using logistic regression analysis. The clinical reasoning quality among different RI-RADS grades was compared.

resultsWe included 1291 emergency CT referrals. RI-RADS grades A (adequate), B (barely adequate), C (considerably limited), D (deficient), and X (no information) were assigned to 287 (22.2%), 71 (5.5%), 851 (65.9%), 53 (4.1%), and 29 (2.2%) requisitions, respectively. The requisitions from the fever clinic and thoracic surgery were less likely to be assigned to RI-RADS A compared to internal medicine (odds ratio 0.10-0.11), and so were those of abdomen and head scans compared to chest scans (odds ratio 0.06-0.30). The RI-RADS A requisitions had better clinical reasoning quality than those of RI-RADS grades C, D, and X (all adjusted p < 0.001), but not those of RI-RADS B (adjusted p = 0.100).

conclusionThe majority of emergency CT requisitions were inadequate, especially those from the fever clinic and thoracic surgery. Suboptimal requisitions were associated with poorer clinical reasoning quality. CRITICAL RELEVANCE STATEMENT: Radiologists' concerns are valid that low-quality radiology requisitions may reflect poorer clinical reasoning. The use of standardized requisition frameworks like RI-RADS may help bridge the gap between diagnostic imaging and clinical reasoning, promoting safer and more effective patient care. KEY POINTS: Radiologists often complain about low-quality radiology requisitions with low clinical reasoning quality from clinicians. The radiological requisitions with lower quality according to RI-RADS were associated with worse clinical reasoning quality. Improving the quality of radiological requisitions after detailed clinical reasoning is warranted to improve radiology workflow for better medical practice.

Indexed as

Emergency medicineMultidetector computed tomographyPractice guidelinesQuality improvementReferral and consultation

Identifiers

PMID41099889
PMCPMC12532535

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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.