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Soft-tissue masses: diagnosis using MR imaging

Kransdorf, MJ, Jelinek, JS, Moser, RP, Utz, JA, Brower, AC, Hudson, TM, Berrey, BH·1989·American Journal of Roentgenology

Abstract

The MR images of 112 soft-tissue masses of various causes were retrospectively reviewed. Pathologic diagnosis by biopsy was available in 96 cases. Diagnosis in the remaining 16 cases was established by characteristic radiographs, CT scans, and/or arteriograms, in conjunction with appropriate history and clinical follow-up. All masses were evaluated with both T1-weighted, 300-600/20-30 (TR/TE), and T2-weighted, 2000/80-100, images. They were reviewed to determine (1) if these images were sufficiently unique to allow a preoperative diagnosis based exclusively on the MR appearance and (2) if benignity vs malignancy could be predicted on the basis of the analysis of the MR image characteristics of the lesion. Concerning the latter, attention was directed to the margins of the lesions, to the impact of the lesion on the surrounding tissues (edema, infiltration, etc.), and to the intensity and homogeneity of the MR signal of the lesion. MR images were sufficiently characteristic to allow a specific diagnosis in 27 (24%) of the 112 cases (10 lipomas, eight hemangiomas, six pigmented villonodular synovitis, two hematomas, and one arteriovenous malformation). MR was incapable of reliably distinguishing between benign and malignant soft-tissue tumors.

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Metadata

Authors
Kransdorf, M., Jelinek, J., Moser, R., Utz, J., Brower, A., Hudson, T., & Berrey, B.
Venue
American Journal of Roentgenology
Published
1989-09-01
Volume
153
Issue
3
Pages
541-547
ISSN
  • 0002-9580 (ISSN-L)
  • 0361-803X
  • 1546-3141
OpenAlex
W2022345856
Cited by
292
References
0
FWCI
10.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Soft-tissue masses: diagnosis using MR imaging. https://app.cochat.ai/papers/10.2214/ajr.153.3.541
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Kransdorf, M., Jelinek, J., Moser, R., Utz, J., Brower, A., Hudson, T., & Berrey, B. (1989). Soft-tissue masses: diagnosis using MR imaging. American Journal of Roentgenology. https://doi.org/10.2214/ajr.153.3.541

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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