Title
Statistical analysis of MRI parameters predicting malignancy in 141 soft-tissue masses Statistical analysis of MRI parameters predicting malignancy in 141 soft-tissue masses
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
article
Publication
Stuttgart ,
Subject
Computer. Automation
Source (journal)
Bildgebenden Verfahren
RöFo: Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin. - Stuttgart
Volume/pages
156(1992) :6 , p. 587-591
ISSN
0340-1618
1438-9029
0936-6652
ISI
A1992JA88600016
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Since well-known grading parameters such as cellularity, mitotic rate, matrix and presence of necrosis all influence MRI signal intensity, the value of MRI in predicting malignancy is potentially high. To assess this value we studied retrospectively the findings in 141 soft tissue tumours (84 benign, 57 malignant) and evaluated a wide variety of MRI features (size, margins, signal homogeneity, shape, signal intensity, neurovascular and bone involvement, degree and pattern of enhancement and evidence of necrosis after injection of Gd-DTPA). Statistical analysis was carried out to determine accuracy of parameters individually and in combination, for predicting malignancy. Highest sensitivity was obtained for "absence of low signal intensity on T2" (100%), "mean diameter > 33 mm" (90 %), and "inhomogeneous signal on T1" (88 %). Highest specificity was obtained for "evidence of necrosis" (98 %), "bone or neurovascular involvement or metastases" (94 %), and "mean diameter > 66 mm" (87 %). Association of best sensitivity and specificity was seen for "absence of low signal intensity on T2", "signal inhomogeneity on T1", and "mean diameter of the lesion > 33 mm" (81 and 81 %).
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