Publication
Title
Statistical analysis of MRI parameters predicting malignancy in 141 soft-tissue masses
Author
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 %).
Language
English
Source (journal)
RöFo: Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin. - Stuttgart
Bildgebenden Verfahren
Publication
Stuttgart : 1992
ISSN
0340-1618
1438-9029
0936-6652
Volume/pages
156:6(1992), p. 587-591
ISI
A1992JA88600016
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.01.2013
Last edited 30.09.2017
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