Tumors of the scapula: A retrospective analysis identifying predictors of malignancy.


Journal

Surgical oncology
ISSN: 1879-3320
Titre abrégé: Surg Oncol
Pays: Netherlands
ID NLM: 9208188

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 08 03 2019
revised: 18 06 2019
accepted: 28 10 2019
pubmed: 7 11 2019
medline: 31 10 2020
entrez: 6 11 2019
Statut: ppublish

Résumé

Osseous tumors of the shoulder girdle occur most frequently in the proximal humerus, scapula and clavicle. Prior studies have determined that tumors occurring in the scapula have a higher risk of malignancy, but few have looked exclusively at tumors of this site to describe incidence, clinical features and potential predictors of malignancy. As imaging technologies for diagnosis have improved, it is important to re-evaluate if patterns of incidence have changed and if new imaging findings could potentially be predictors of malignancy. This retrospective analysis identified 173 patients from a pediatric and an adult hospital between 1990 and 2015. All patients with tumors of the scapula either of bony origin or with bony invasion were included. Diagnosis, tumor location, and patient demographics were collected. Bivariate and logistic regression analyses were performed to identify potential predictors of malignancy. Chondrosarcoma and osteochondroma were the most common malignant and benign tumors, respectively. Benign tumors were more prevalent in the pediatric population. Tumors occurred most frequently in the body of the scapula. Risk for malignancy increased with age (OR 1.09, 95% CI 1.05-1.12), tumors invading multiple sites (OR 10.85, 95% CI 2.37-49.72) and tumors that were lucent (OR 7.02, 95% CI 1.14-43.21) or had a mixed radiographic appearance (OR 11.47, 95% CI 1.36-99.65). Including neoplasia in the differential diagnosis for shoulder complaints is important because the scapula is a site of increased risk of malignancy. Patterns of incidence and prevalence have not changed in the last years with the use of more advance techniques of imaging studies. Older age, lucent or mixed imaging, and tumors that span multiple sites of the scapula were found to be predictors of malignancy. Additional cross-sectional anatomy studies may be warranted for further evaluation in patients presenting with these characteristics given the higher concern for malignant disease. Level IV, Prognostic Study.

Sections du résumé

BACKGROUND BACKGROUND
Osseous tumors of the shoulder girdle occur most frequently in the proximal humerus, scapula and clavicle. Prior studies have determined that tumors occurring in the scapula have a higher risk of malignancy, but few have looked exclusively at tumors of this site to describe incidence, clinical features and potential predictors of malignancy. As imaging technologies for diagnosis have improved, it is important to re-evaluate if patterns of incidence have changed and if new imaging findings could potentially be predictors of malignancy.
METHODS METHODS
This retrospective analysis identified 173 patients from a pediatric and an adult hospital between 1990 and 2015. All patients with tumors of the scapula either of bony origin or with bony invasion were included. Diagnosis, tumor location, and patient demographics were collected. Bivariate and logistic regression analyses were performed to identify potential predictors of malignancy.
RESULTS RESULTS
Chondrosarcoma and osteochondroma were the most common malignant and benign tumors, respectively. Benign tumors were more prevalent in the pediatric population. Tumors occurred most frequently in the body of the scapula. Risk for malignancy increased with age (OR 1.09, 95% CI 1.05-1.12), tumors invading multiple sites (OR 10.85, 95% CI 2.37-49.72) and tumors that were lucent (OR 7.02, 95% CI 1.14-43.21) or had a mixed radiographic appearance (OR 11.47, 95% CI 1.36-99.65).
CONCLUSIONS CONCLUSIONS
Including neoplasia in the differential diagnosis for shoulder complaints is important because the scapula is a site of increased risk of malignancy. Patterns of incidence and prevalence have not changed in the last years with the use of more advance techniques of imaging studies. Older age, lucent or mixed imaging, and tumors that span multiple sites of the scapula were found to be predictors of malignancy. Additional cross-sectional anatomy studies may be warranted for further evaluation in patients presenting with these characteristics given the higher concern for malignant disease.
LEVEL OF EVIDENCE METHODS
Level IV, Prognostic Study.

Identifiants

pubmed: 31689646
pii: S0960-7404(19)30123-9
doi: 10.1016/j.suronc.2019.10.020
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

18-22

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Courtney L Kaiser (CL)

Massachusetts General Hospital, Harvard Medical School, Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, 55 Fruit St., Boston, MA, 02114, USA. Electronic address: clkaiser@partners.org.

Caleb M Yeung (CM)

Massachusetts General Hospital, Harvard Medical School, Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, 55 Fruit St., Boston, MA, 02114, USA. Electronic address: cmyeung@partners.org.

Kevin Raskin (K)

Massachusetts General Hospital, Harvard Medical School, Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, 55 Fruit St., Boston, MA, 02114, USA. Electronic address: kraskin@mgh.harvard.edu.

Mark C Gebhardt (MC)

Boston Children's Hospital, Department of Orthopaedic Surgery, 300 Longwood Ave, Boston, MA, 02115, USA. Electronic address: Mark.gebhardt@childrens.harvard.edu.

Megan E Anderson (ME)

Boston Children's Hospital, Department of Orthopaedic Surgery, 300 Longwood Ave, Boston, MA, 02115, USA. Electronic address: Megan.anderson@childrens.harvard.edu.

Santiago A Lozano-Calderón (SA)

Massachusetts General Hospital, Harvard Medical School, Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, 55 Fruit St., Boston, MA, 02114, USA. Electronic address: slozanocalderon@mgh.harvard.edu.

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Classifications MeSH