The appropriate and sequential value of standard radiograph, computed tomography and magnetic resonance imaging to characterize a bone tumor.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
13 04 2022
Historique:
received: 15 11 2021
accepted: 28 03 2022
entrez: 14 4 2022
pubmed: 15 4 2022
medline: 16 4 2022
Statut: epublish

Résumé

Radiographs (XR), computed tomography (CT) or magnetic resonance imaging (MRI) are regularly analyzed to determine whether a bone lesion is benign or malignant. An online quiz was created providing 15 cases with a clinical summary, MRI, CT, and XR. After each image, participants were asked to rate the probability (0-100%) the bone tumor was malignant. Order and difficulty of the images were randomly determined. Probability statements regarding the diagnosis were actualized along the sequence of exam, to quantify how the degree of belief changed to account for evidence from those exams. 64 physicians participated and provided 154 assessments from 1 (n = 18) to 3 (n = 44) different cases. After the first image, participants favored the correct malignancy status at 70%; 80% after the second and 80% after the third one. Participants were more likely to favor the correct malignancy status when the lesion was malignant and when first confronted with XR or CT, rather than MRI, though the most predictive factor of correct diagnosis was the difficulty of the case. In conclusion, the additional information provided by successive imaging studies was moderate. XR or CT seemed more appropriate than MRI as first imaging study. Bypassing XR should be discouraged.

Identifiants

pubmed: 35418602
doi: 10.1038/s41598-022-10218-8
pii: 10.1038/s41598-022-10218-8
pmc: PMC9008011
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6196

Informations de copyright

© 2022. The Author(s).

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Auteurs

M Gaume (M)

Department of Orthopedic Surgery, Cochin Hospital, Université de Paris, AP-HP, Assistance Publique Hôpitaux de Paris, Paris, France. mathilde.gaume@aphp.fr.

S Chevret (S)

Department of Biostatistics and Clinical Epidemiology, INSERM, Paris University, Paris, France.

R Campagna (R)

Department of Radiology, Cochin Hospital, Université de Paris, AP-HP, Assistance Publique Hôpitaux de Paris, Paris, France.

F Larousserie (F)

Department of Pathology, Cochin Hospital, Université de Paris, AP-HP, Assistance Publique Hôpitaux de Paris, Paris, France.

D Biau (D)

Department of Orthopedic Surgery, Cochin Hospital, Université de Paris, AP-HP, Assistance Publique Hôpitaux de Paris, Paris, France.

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