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Solitary vertebral collapse: Distinction between benign and malignant causes using MR patterns
Author(s) -
Shih Tiffany TingFang,
Huang KouMou,
Li YiuWah
Publication year - 1999
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/(sici)1522-2586(199905)9:5<635::aid-jmri4>3.0.co;2-e
Subject(s) - malignancy , medicine , lesion , magnetic resonance imaging , radiology , vertebral compression fracture , soft tissue , margin (machine learning) , pathology , percutaneous , machine learning , computer science
Differentiation of benign from malignant causes of vertebral compression fracture can be difficult at a single location. We studied 37 patients with solitary vertebral collapse (SVC) in the spine using magnetic resonance imaging (MRI). Sixteen of them were found to have a benign cause of SVC, while the remaining 21 were found to have malignancy. The following four MRI characteristics were investigated: ill‐ or well‐defined margin of the intravertebral lesion ( P < 0.005); pedicle involvement ( P < 0.05); MR enhancement pattern ( P < 0.005); and paravertebral soft tissue lesion (PSL) ( P < 0.025). It was found that cases of malignant SVC tended to have an ill‐defined margin, abnormal signal involvement of the pedicle, a marked and heterogenous MR enhancement pattern, and irregular nodular‐type PSL. Pedicle change with expansile lesion totally excluded a benign cause. By using these criteria, we were able to differentiate benign or malignant causes of SVC accurately.J. Magn. Reson. Imaging 1999;9:635–642. © 1999 Wiley‐Liss, Inc.