Magnetic Resonance Imaging Features for Distinguishing High-Grade From Low-Grade Soft Tissue Sarcoma: A Systematic Review and Meta-Analysis Article Swipe
Wilhelmina N Hauwanga
,
Billy McBenedict
,
Kang Suen Goh
,
Ryan Chun Chien Yau
,
Anusha Shirwaikar Thomas
,
Berley Alphonse
,
Yusuf Ahmed
,
Walaa H Yusuf
,
Jeshua N Devan
,
Hind A Alsiddig
,
Abdelwahab Ahmed
,
Bruno Lima Pessôa
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7759/cureus.72784
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.7759/cureus.72784
Soft tissue sarcomas are malignant tumors characterized by heterogeneity and are associated with a high mortality rate. Histopathological grading is considered a pivotal factor in prognostication and treatment planning. While core needle biopsy exhibits high accuracy in determining tumor histology, it fails in some cases, potentially misclassifying high-grade tumors as low-grade. Magnetic resonance imaging (MRI) has been evaluated as an adjunctive tool for predicting histopathological tumor grade. This systematic review and meta-analysis evaluated MRI features capable of distinguishing high-grade from low-grade tumors in patients with soft tissue sarcoma. A literature search was carried out in PubMed, Embase, and Cochrane Central in May 2024. The following features were evaluated for both low-grade and high-grade tumors: tumor size, heterogeneity on T2, presence of necrotic areas, margin definition on T1, and post-contrast peritumoral enhancement. Statistical analysis was conducted using the OpenMeta[Analyst] software (Providence, RI: Brown University), applying random effects models for pooled analyses with a 95% confidence interval (CI) based on the inverse variance method. A total of four studies, involving 343 patients categorized by tumor grade (high-grade or low-grade), who underwent MRI, were included in the analysis. The meta-analysis found similar incidences of tumor sizes less than 5 cm in both high-grade and low-grade tumors (22.7%; 95% CI: 10.3-25% vs. 27%; 95% CI: 2.7-51.2%) and tumor sizes greater than 5 cm (71.3%; 95% CI: 64-78.6% vs. 52%; 95% CI: 23.6-80.5%). High-grade tumors showed a higher incidence of post-contrast peritumoral enhancement compared to low-grade tumors (66%; 95% CI: 43-89% vs. 26%; 95% CI: 4.6-47.4%) as well as heterogeneity on T2 greater than 50% (72.4%; 95% CI: 49.3-95.4% vs. 25.4%; 95% CI: 5.2-56%). Additionally, high-grade tumors had a lower incidence of the absence of necrotic signal compared to low-grade tumors (28.8%; 95% CI: 8.5-49.1% vs. 68%; 95% CI: 57.5-78.6%). Our findings suggest that post-contrast peritumoral enhancement, presence of necrotic areas, and heterogeneity on T2 greater than 50% are MRI features associated with high-grade tumors in soft tissue sarcoma. Tumor size, however, does not appear to be a reliable indicator for differentiating tumor grade.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.7759/cureus.72784
- https://assets.cureus.com/uploads/review_article/pdf/305297/20241031-372944-dxij7y.pdf
- OA Status
- diamond
- Cited By
- 2
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403935657
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403935657Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.7759/cureus.72784Digital Object Identifier
- Title
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Magnetic Resonance Imaging Features for Distinguishing High-Grade From Low-Grade Soft Tissue Sarcoma: A Systematic Review and Meta-AnalysisWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-10-31Full publication date if available
- Authors
-
Wilhelmina N Hauwanga, Billy McBenedict, Kang Suen Goh, Ryan Chun Chien Yau, Anusha Shirwaikar Thomas, Berley Alphonse, Yusuf Ahmed, Walaa H Yusuf, Jeshua N Devan, Hind A Alsiddig, Abdelwahab Ahmed, Bruno Lima PessôaList of authors in order
- Landing page
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https://doi.org/10.7759/cureus.72784Publisher landing page
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https://assets.cureus.com/uploads/review_article/pdf/305297/20241031-372944-dxij7y.pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
diamondOpen access status per OpenAlex
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https://assets.cureus.com/uploads/review_article/pdf/305297/20241031-372944-dxij7y.pdfDirect OA link when available
- Concepts
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Medicine, Meta-analysis, Magnetic resonance imaging, Soft tissue sarcoma, Grading (engineering), Confidence interval, Sarcoma, Biopsy, Soft tissue, Radiology, Clear-cell sarcoma, Nuclear medicine, Pathology, Internal medicine, Engineering, Civil engineeringTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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