Evaluation of MRI features of neuromas in oncological amputees, and the relation to pain.

Amputation MRI Neuroma Neuropathic pain

Journal

Skeletal radiology
ISSN: 1432-2161
Titre abrégé: Skeletal Radiol
Pays: Germany
ID NLM: 7701953

Informations de publication

Date de publication:
12 Sep 2024
Historique:
received: 03 06 2024
accepted: 20 08 2024
revised: 05 08 2024
medline: 12 9 2024
pubmed: 12 9 2024
entrez: 12 9 2024
Statut: aheadofprint

Résumé

The impact of time on neuroma growth and morphology on pain intensity is unknown. This study aims to assess magnetic resonance imaging (MRI) differences between symptomatic and non-symptomatic neuromas in oncological amputees, and whether time influences MRI-detected neuroma dimensions and their association with pain. Oncological patients who underwent traditional extremity amputation were included. Post-amputation MRIs were assessed before decision for neuroma surgery. Chart review was performed for residual limb pain (numeric rating scale, 0-10) and the presence of neuropathic symptoms. Neuromas were classified as symptomatic or non-symptomatic, with neuroma size expressed as radiological neuroma-to-nerve-ratio (NNR). Among 78 neuromas in 60 patients, the median NNR was 2.0, and 56 neuromas (71.8%) were symptomatic with a median pain score of 3.5. NNR showed no association with symptomatology or pain intensity but correlated with a longer time-to-neuroma-excision interval and a smaller nerve caliber. Symptomatic neuromas were associated with lower extremity amputation, T2 heterogeneity, and the presence of heterotopic ossification. Lower extremity amputation, T2 heterogeneity, perineural edema, and presence of heterotopic ossification were associated with more painful neuromas. MRI features associated with symptomatic neuromas and pain intensity were identified. Awareness of the potential clinical significance of these imaging features may help in the interpretation of MRI exams and may aid clinicians in patient selection for neuroma surgery in oncological amputees.

Identifiants

pubmed: 39264418
doi: 10.1007/s00256-024-04779-0
pii: 10.1007/s00256-024-04779-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to International Skeletal Society (ISS).

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Auteurs

Eva van Vliet (E)

Hand and Arm Center, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Division of Plastic and Reconstructive Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Floris V Raasveld (FV)

Hand and Arm Center, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Department of Plastic, Reconstructive and Hand Surgery, Erasmus Medical Center, Erasmus University, Rotterdam, The Netherlands.
Division of Plastic and Reconstructive Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Wen-Chih Liu (WC)

Hand and Arm Center, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Department of Orthopedics, Kaohsiung Medical University Hospital, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

Ian L Valerio (IL)

Division of Plastic and Reconstructive Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Kyle R Eberlin (KR)

Division of Plastic and Reconstructive Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Erik T Newman (ET)

Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Mohamed Jarraya (M)

Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

F Joseph Simeone (FJ)

Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Jad S Husseini (JS)

Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. jad.husseini@mgh.harvard.edu.

Classifications MeSH