Magnetic resonance imaging in differentiating between aggressive and non-aggressive bone tumors.


Journal

Acta radiologica (Stockholm, Sweden : 1987)
ISSN: 1600-0455
Titre abrégé: Acta Radiol
Pays: England
ID NLM: 8706123

Informations de publication

Date de publication:
Feb 2023
Historique:
pubmed: 22 3 2022
medline: 9 2 2023
entrez: 21 3 2022
Statut: ppublish

Résumé

While radiography remains essential in the initial evaluation of bone lesions, tissue biopsy or further imaging is often required to clarify indeterminate radiographic features. Magnetic resonance imaging (MRI) assists radiologists in evaluating lesions with indeterminate features as it has advantages in delineating tumorous tissues and bone marrow. To evaluate the association factors of MRI for bony aggressiveness. A retrospective analysis of 226 MRI examinations from patients diagnosed with bone tumors in a tertiary hospital during 2008-2018 was performed. All the MR images were interpreted by musculoskeletal radiologists without diagnostic information. The bony lesions were categorized into aggressive and non-aggressive groups using tumor margin, cortical changes, periosteal reaction, joint extension, extraosseous soft tissue involvement, tumor homogeneity, and enhancement pattern from the MR images. Univariable and multivariable analysis were applied for each feature on the MRI scans. In addition, sensitivity and specificity were calculated for MRI diagnoses of aggressive bone lesions. In total, 180 aggressive and 46 non-aggressive bone lesions were examined on MRI. The sensitivity and specificity of MRI for differentiating between aggressive and non-aggressive bone lesions were 98.89% and 50%, respectively. Ill-defined margin, cortical break, cortical signal changes, sunburst and Codman's triangle periosteal reaction, joint extension, and tumoral and heterogeneous enhancement could be predictive signs for aggressive bone lesions. MRI can be a valuable tool to assist in distinguishing aggressive from non-aggressive bone lesions. In cases of indeterminate radiographic features, MRI could be used as an additional imaging to improve diagnostic accuracy and could reduce unnecessary invasive procedures.

Sections du résumé

BACKGROUND BACKGROUND
While radiography remains essential in the initial evaluation of bone lesions, tissue biopsy or further imaging is often required to clarify indeterminate radiographic features. Magnetic resonance imaging (MRI) assists radiologists in evaluating lesions with indeterminate features as it has advantages in delineating tumorous tissues and bone marrow.
PURPOSE OBJECTIVE
To evaluate the association factors of MRI for bony aggressiveness.
MATERIAL AND METHODS METHODS
A retrospective analysis of 226 MRI examinations from patients diagnosed with bone tumors in a tertiary hospital during 2008-2018 was performed. All the MR images were interpreted by musculoskeletal radiologists without diagnostic information. The bony lesions were categorized into aggressive and non-aggressive groups using tumor margin, cortical changes, periosteal reaction, joint extension, extraosseous soft tissue involvement, tumor homogeneity, and enhancement pattern from the MR images. Univariable and multivariable analysis were applied for each feature on the MRI scans. In addition, sensitivity and specificity were calculated for MRI diagnoses of aggressive bone lesions.
RESULTS RESULTS
In total, 180 aggressive and 46 non-aggressive bone lesions were examined on MRI. The sensitivity and specificity of MRI for differentiating between aggressive and non-aggressive bone lesions were 98.89% and 50%, respectively. Ill-defined margin, cortical break, cortical signal changes, sunburst and Codman's triangle periosteal reaction, joint extension, and tumoral and heterogeneous enhancement could be predictive signs for aggressive bone lesions.
CONCLUSION CONCLUSIONS
MRI can be a valuable tool to assist in distinguishing aggressive from non-aggressive bone lesions. In cases of indeterminate radiographic features, MRI could be used as an additional imaging to improve diagnostic accuracy and could reduce unnecessary invasive procedures.

Identifiants

pubmed: 35306878
doi: 10.1177/02841851221082098
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

625-637

Auteurs

Pramot Tanutit (P)

Department of Radiology, Faculty of Medicine, 26686Prince of Songkla University, Songkhla, Thailand.

Wisitsak Pakdee (W)

Department of Radiology, Faculty of Medicine, 26686Prince of Songkla University, Songkhla, Thailand.

Teeranan Laohawiriyakamol (T)

Department of Radiology, Faculty of Medicine, 26686Prince of Songkla University, Songkhla, Thailand.

Khanin Iamthanaporn (K)

Department of Orthopaedic Surgery and Physical Medicine, Faculty of Medicine, 26686Prince of Songkla University, Songkhla, Thailand.

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Classifications MeSH