AI Article Synopsis

  • The study investigates the impact of collagen content on survival in solitary fibrous tumors (SFTs) of the central nervous system (CNS) and its connection to MRI features.
  • Collagen levels were measured using staining techniques, with results showing that higher collagen content correlates positively with overall survival, and it acts as an independent prognostic factor.
  • The research found that MRI features and radiomic models, particularly T1- and T2-weighted imaging, can effectively assess collagen content, potentially improving diagnostic accuracy for CNS SFTs.

Article Abstract

Purpose: We aimed to explore the prognostic significance of collagen content in solitary fibrous tumors (SFTs) of the central nervous system (CNS) and preliminarily investigate its relationship with magnetic resonance imaging (MRI) features of SFTs.

Methods: Collagen content was identified using Masson's trichrome staining, and quantitatively assessed. Radiomic methods were applied to extract quantitative MRI features of SFTs, which were then analyzed in relation to collagen content.

Results: The collagen content in CNS SFTs was categorized into high- and low-content groups, with a cutoff value of 6%. Survival analysis indicated a positive correlation between collagen content and overall survival (OS). In multivariate Cox regression analysis, incorporating factors such as mitosis, necrosis, Ki67, and collagen content and other indicators, collagen content emerged as an independent prognostic factor. Collagen content demonstrated a negative correlation with tumor histological phenotype, Ki67, WHO grade, mitosis, necrosis, and brain invasion. Additionally, the signal intensity of SFTs on T2-weighted imaging (T2WI) decreased with increasing collagen content. Radiomics analysis identified 1,702 features from each patient's region of interest, with 12 features showing significant differences between the high and low collagen content groups. Among the quantitative parameters and radiomic models, the combined T1- and T2WI models exhibited the highest diagnostic performance.

Conclusion: These findings suggest that collagen content is an independent prognostic risk factor for OS. Furthermore, combined radiomic models based on T1-and T2WI sequences may offer a more comprehensive, objective, and accurate assessment of collagen content in CNS SFTs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11588704PMC
http://dx.doi.org/10.3389/fonc.2024.1450813DOI Listing

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