# Effectiveness of classification and scoring systems in solitary fibrous tumor prognosis prediction

## TL;DR

This study evaluates how well different classification systems predict the recurrence and prognosis of solitary fibrous tumors.

## Contribution

The study compares the effectiveness of multiple classification systems for predicting outcomes in solitary fibrous tumors.

## Key findings

- Factors like mitoses, necrosis, Ki-67 positivity, malignancy, and tumor size are linked to recurrence.
- The Tapias, Diebold, and Demicco systems are effective, with the modified Demicco system being the most advantageous.
- All recurrences occurred in high-risk groups according to the scoring systems.

## Abstract

Because thoracic solitary fibrous tumors (SFTs) are rare, there is limited information on their clinical features, treatment, and follow-up. The literature mainly comprises individual case reports. Our study aimed to analyse SFT data to identify prognosis-related factors and to compare the performance of two describing approaches and three risk stratification models.

We conducted a retrospective review of medical data from 37 patients, including 32 patients with SFT aged 18 years and older who underwent surgical treatment and five patients diagnosed by biopsy at Kocaeli University Hospital between January 2004 and December 2024. Parameters affecting recurrence and survival were investigated, and the effectiveness of existing classification and scoring systems was compared.

Factors potentially associated with recurrence included four or more mitoses (10 HPF) (p=0.023), necrosis (p=0.007), at least 10% Ki-67 positivity (p=0.012), malignancy (p=0.046), and tumor size (p=0.022). Relapses were observed only in the malignant group according to the England classification (p=0.046), only in stage-3 according to the de Perrot classification (p=0.161), only in those with scores of three or higher according to the Tapias classification (p=0.036), only in those with scores of two or higher according to the Diebold classification (p=0.021), and all in high-stage groups (p=0.001) according to the Demicco classification. All recurrences occurred at significant or high scores.

The Tapias, Diebold, and Demicco scoring systems are highly effective in predicting recurrence and prognosis. However, the modified Demicco system is more advantageous and offers a higher level of assessment.