A Simple Computed Tomography Scoring System to Predict Histological Malignancy of Solitary Fibrous Tumors of the Pleura.
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Date
2015
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Abstract
Purpose: The aim of the present study was to define the very first score enabling discrimination
between benign and malignant solitary fibrous tumors of the pleura (SFTPs), on the basis of
reliable preoperative CT features.
Methods: Between December 2004 and November 2012, 56 patients underwent complete
resection for SFTP at six institutes. CT scans were reviewed retrospectively, and a diagnostic
scoring system for predicting malignant SFTP preoperatively was designed.
Results: Univariate analysis revealed seven significant predictors of malignant SFTP: tumor size ≥
10 cm (p=0.002), tumor heterogeneity spontaneously (p=0.019) or after contrast medium injection
(p=0.029), existence of intratumoral fluid density areas (p=0.011), a pleural effusion (p=0.01), measurable (diameter >1 mm) intratumoral vessels (p=0.019), a hypervascular character (visible
intratumoral vessels and/or intense enhancement) (p=0.001). A scoring system based on these
seven CT features, each assigned 1 point, and with a cut-off of 4 points, could predict malignant
SFTP with a specificity of 85% and a sensitivity of 48%.
Conclusion: Our scoring system using seven CT features (tumor size ≥ 10 cm, tumor
heterogeneity with or without contrast injection, intratumoral fluid density areas, pleural effusion,
measurable intratumoral vessels, and a hypervascular character of the tumor) may be helpful for
predicting histological malignancy of solitary fibrous tumors of the pleura.
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Keywords
Solitary fibrous tumor, SFT, Pleura, pleural fibroma, CT scan, scoring system
Citation
Hélage Siegfried, Revel Marie Pierre, Alifano Marco, Lupo Audrey Mansuet, Vadrot Dominique. A Simple Computed Tomography Scoring System to Predict Histological Malignancy of Solitary Fibrous Tumors of the Pleura. British Journal of Medicine and Medical Research. 2015; 5(10): 1301-1308.