Degenerative spine disease: Italian position paper on acquisition, interpretation and reporting of Magnetic Resonance Imaging.

Consensus Degenerative spine Intervertebral disc herniation Magnetic Resonance

Journal

Insights into imaging
ISSN: 1869-4101
Titre abrégé: Insights Imaging
Pays: Germany
ID NLM: 101532453

Informations de publication

Date de publication:
11 Feb 2021
Historique:
received: 20 09 2020
accepted: 09 12 2020
entrez: 12 2 2021
pubmed: 13 2 2021
medline: 13 2 2021
Statut: epublish

Résumé

To promote a better radiological interpretation of spine degeneration, a consistent standardization of the acquisition, interpretation and description of Magnetic Resonance Imaging (MRI) l findings. In order to achieve this objective, a consensus among experts in imaging of degenerative spine disease (DSD) from Italian radiological societies (SIRM-Italian Society of Radiology, AINR-Italian Association of Neuroradiology) was achieved. The representatives of the Italian inter-societal working group examined the literature produced by European/American task forces on optimizing the study sequences, classification of degenerative disc changes, spondylo-arthrosis, osteochondrosis, synovial and ligament pathologies of the spinal column, and on canal and foraminal stenosis. The document-resulted from the consensus between experts-was then presented to the scientific societies of Neurosurgery (SINCH) and Orthopedics and Traumatology (SIOT) for their approval. This position paper presents a proposal for an optimized MRI protocol for studying DSD and provides a glossary of terms related to this pathology and indications on their use. The international terminological recommendations have been translated and adapted to the Italian language and clinical practice and clinical cases have been used to illustrate some of the main classifications. This revision of international DSD guidelines/recommendations and consensus made it possible to (1) update the nomenclature to international standards and (2) harmonize the MRI protocol and description of radiological findings, adapting both (1, 2) to the Italian context. With this position paper we intend to contribute to an improvement of the communication among doctors and between physicians and their patients as well as the quality of the radiological reports.

Identifiants

pubmed: 33575851
doi: 10.1186/s13244-020-00952-w
pii: 10.1186/s13244-020-00952-w
pmc: PMC7878635
doi:

Types de publication

Journal Article

Langues

eng

Pagination

14

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Auteurs

Francesca B Pizzini (FB)

Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy. francescabenedetta.pizzini@univr.it.

Mattia Poletti (M)

Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy.

Alberto Beltramello (A)

Department of Radiology, IRCCS "Sacro Cuore-Don Calabria", Negrar, Verona, Italy.

Mario Muto (M)

Diagnostic and Interventional Neuroradiology, Cardarelli Hospital, Naples, Italy.

Alessandra Splendiani (A)

Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.

Sara Mehrabi (S)

Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy.

Giuseppe Costanzo (G)

La Sapienza University of Rome, Rome, Italy.

Vincenzo Vitiello (V)

Department of Neurosurgery, San Giovanni Bosco, Naples, Italy.

Antonio Barile (A)

Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.

Stefano Colagrande (S)

Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit N. 2, University of Florence-Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

Giancarlo Mansueto (G)

Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy.

Stefano Bastianello (S)

Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.

Classifications MeSH