Early results of ultra-low-dose CT-scan for extremity traumas in emergency room.

CT scan Radiation dose X-ray emergency radiology extremity traumatism

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 08 09 2021
accepted: 16 05 2022
entrez: 3 8 2022
pubmed: 4 8 2022
medline: 4 8 2022
Statut: ppublish

Résumé

Ultra-low dose computed tomography (ULD-CT) was shown to be a good alternative to digital radiographs in various locations. This study aimed to assess the diagnostic sensitivity and specificity of ULD-CT versus digital radiographs in patients consulting for extremity traumas in emergency room. Digital radiography and ULD-CT scan were performed in patients consulting at the emergency department (February-August 2018) for extremity traumas. Fracture detection was evaluated retrospectively by two blinded independent radiologists. Sensitivity and specificity were evaluated using best value comparator (BVC) and a Bayesian latent class model (LCM) approaches and clinical follow-up. Image quality, quality diagnostic and diagnostic confidence level were evaluated (Likert scale). The effective dose received was calculated. Seventy-six consecutive patients (41 men, mean age: 35.2±13.2 years), with 31 wrists/hands and 45 ankles/feet traumas were managed by emergency physicians. According to clinical data, radiography had 3 false positive and 10 false negative examinations, and ULD-CT, 2 of each. Radiography and ULD-CT specificities were similar; sensitivities were lower for radiography, with BVC and Bayesian. With Bayesian, ULD-CT and radiography sensitivities were 90% (95% CI: 87-93%) and 76% (95% CI: 71-81%, P<0.0001) and specificities 96% (95% CI: 93-98%) and 93% (95% CI: 87-97%, P=0.84). The inter-observer agreement was higher for ULD-CT for all subjective indexes. The effective dose for ULD-CT and radiography was 0.84±0.14 and 0.58±0.27 µSv (P=0.002) for hand/wrist, and 1.50±0.32 and 1.44±0.78 µSv (P=NS) for foot/ankle. With an effective dose level close to radiography, ULD-CT showed better detection of extremities fractures in the emergency room and may allow treatment adaptation. Further studies need to be performed to assess impact of such examination in everyday practice. ClinicalTrials.gov Identifier: NCT04832490.

Sections du résumé

Background UNASSIGNED
Ultra-low dose computed tomography (ULD-CT) was shown to be a good alternative to digital radiographs in various locations. This study aimed to assess the diagnostic sensitivity and specificity of ULD-CT versus digital radiographs in patients consulting for extremity traumas in emergency room.
Methods UNASSIGNED
Digital radiography and ULD-CT scan were performed in patients consulting at the emergency department (February-August 2018) for extremity traumas. Fracture detection was evaluated retrospectively by two blinded independent radiologists. Sensitivity and specificity were evaluated using best value comparator (BVC) and a Bayesian latent class model (LCM) approaches and clinical follow-up. Image quality, quality diagnostic and diagnostic confidence level were evaluated (Likert scale). The effective dose received was calculated.
Results UNASSIGNED
Seventy-six consecutive patients (41 men, mean age: 35.2±13.2 years), with 31 wrists/hands and 45 ankles/feet traumas were managed by emergency physicians. According to clinical data, radiography had 3 false positive and 10 false negative examinations, and ULD-CT, 2 of each. Radiography and ULD-CT specificities were similar; sensitivities were lower for radiography, with BVC and Bayesian. With Bayesian, ULD-CT and radiography sensitivities were 90% (95% CI: 87-93%) and 76% (95% CI: 71-81%, P<0.0001) and specificities 96% (95% CI: 93-98%) and 93% (95% CI: 87-97%, P=0.84). The inter-observer agreement was higher for ULD-CT for all subjective indexes. The effective dose for ULD-CT and radiography was 0.84±0.14 and 0.58±0.27 µSv (P=0.002) for hand/wrist, and 1.50±0.32 and 1.44±0.78 µSv (P=NS) for foot/ankle.
Conclusions UNASSIGNED
With an effective dose level close to radiography, ULD-CT showed better detection of extremities fractures in the emergency room and may allow treatment adaptation. Further studies need to be performed to assess impact of such examination in everyday practice.
Trial Registration UNASSIGNED
ClinicalTrials.gov Identifier: NCT04832490.

Identifiants

pubmed: 35919065
doi: 10.21037/qims-21-848
pii: qims-12-08-4248
pmc: PMC9338366
doi:

Banques de données

ClinicalTrials.gov
['NCT04832490']

Types de publication

Journal Article

Langues

eng

Pagination

4248-4258

Informations de copyright

2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-21-848/coif). The authors have no conflicts of interest to declare.

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Auteurs

Taki Eddine Addala (TE)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Joël Greffier (J)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Aymeric Hamard (A)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Fehmi Snene (F)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Xavier Bobbia (X)

IMAGINE Research Unit 103, Emergency Department, Nîmes University Hospital, Montpellier University, Nîmes, France.

Sophie Bastide (S)

Department of Biostatistics, Epidemiology, Public Health and Innovation in Methodology (BESPIM), CHU Nimes, Univ Montpellier, Nîmes, France.

Asmaa Belaouni (A)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Hélène de Forges (H)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Ahmed Larbi (A)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Jean-Emmanuel de la Coussaye (JE)

IMAGINE Research Unit 103, Emergency Department, Nîmes University Hospital, Montpellier University, Nîmes, France.

Jean-Paul Beregi (JP)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Pierre-Géraud Claret (PG)

IMAGINE Research Unit 103, Emergency Department, Nîmes University Hospital, Montpellier University, Nîmes, France.

Julien Frandon (J)

IMAGINE Research Unit 103, Department of Medical Imaging, Nîmes University Hospital, Montpellier University, Nîmes, France.

Classifications MeSH