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Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses
Purpose/results. We evaluated the diagnostic accuracy of magnetic resonance imaging (MRI) for 46 consecutive patients with lipomatous soft tissue tumors prior to biopsy and resection. Twenty-eight patients had benign lipomas and 18 had liposarcomas. Clinical differences between thdse patients with b...
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
1997
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2395363/ https://www.ncbi.nlm.nih.gov/pubmed/18521221 http://dx.doi.org/10.1080/13577149778272 |
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author | Rougraff, Bruce T. Durbin, Mark Lawerence, Jackie Buckwalter, Kenneth |
author_facet | Rougraff, Bruce T. Durbin, Mark Lawerence, Jackie Buckwalter, Kenneth |
author_sort | Rougraff, Bruce T. |
collection | PubMed |
description | Purpose/results. We evaluated the diagnostic accuracy of magnetic resonance imaging (MRI) for 46 consecutive patients with lipomatous soft tissue tumors prior to biopsy and resection. Twenty-eight patients had benign lipomas and 18 had liposarcomas. Clinical differences between thdse patients with benign disease and those with malignant lesions were average age at the time of presentation (49 years for benign vs 62 years for malignant, p < 0.001) and average length of symptoms prior to resection (64 months for benign versus 38 months for malignant, p = 0.01). MRI characteristics associated with benign disease included: smaller tumor size (9.4 cm average greatest dimension for benign lesions vs 13.4 cm for malignant masses, p = 0.022); a mass with a uniformly homogeneous signal (p = 0.0003); a mass with homogeneous high T1 and T2 signals and a low short-time-inversion-recovery (STIR) signal comparable to normal fat (p < 0.0001). This last signal pattern was not seen in malignant lesions (0/18) and was present in almost all benign lipomas (25/28). The usual MRI descriptions of soft tissue masses such as infiltrating vs encapsulating, deep vs subcutaneous and septated vs non-septated were not helpful predictors of malignancy in this series. Needle biopsies of lipomatous masses with heterogeneous signals on MRI resulted in inaccurate diagnoses due to sampling error in 5/9 patients. Discussion. A carefully planned and performed MRI study of lipomatous masses can accurately predict a benign lipoma whenever a homogeneous high T1 and T2, as well as a low STIR, signal is present. However, a mass with any other signal characteristics must be biopsied carefully in order to make an accurate diagnosis. |
format | Text |
id | pubmed-2395363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1997 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-23953632008-06-02 Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses Rougraff, Bruce T. Durbin, Mark Lawerence, Jackie Buckwalter, Kenneth Sarcoma Research Article Purpose/results. We evaluated the diagnostic accuracy of magnetic resonance imaging (MRI) for 46 consecutive patients with lipomatous soft tissue tumors prior to biopsy and resection. Twenty-eight patients had benign lipomas and 18 had liposarcomas. Clinical differences between thdse patients with benign disease and those with malignant lesions were average age at the time of presentation (49 years for benign vs 62 years for malignant, p < 0.001) and average length of symptoms prior to resection (64 months for benign versus 38 months for malignant, p = 0.01). MRI characteristics associated with benign disease included: smaller tumor size (9.4 cm average greatest dimension for benign lesions vs 13.4 cm for malignant masses, p = 0.022); a mass with a uniformly homogeneous signal (p = 0.0003); a mass with homogeneous high T1 and T2 signals and a low short-time-inversion-recovery (STIR) signal comparable to normal fat (p < 0.0001). This last signal pattern was not seen in malignant lesions (0/18) and was present in almost all benign lipomas (25/28). The usual MRI descriptions of soft tissue masses such as infiltrating vs encapsulating, deep vs subcutaneous and septated vs non-septated were not helpful predictors of malignancy in this series. Needle biopsies of lipomatous masses with heterogeneous signals on MRI resulted in inaccurate diagnoses due to sampling error in 5/9 patients. Discussion. A carefully planned and performed MRI study of lipomatous masses can accurately predict a benign lipoma whenever a homogeneous high T1 and T2, as well as a low STIR, signal is present. However, a mass with any other signal characteristics must be biopsied carefully in order to make an accurate diagnosis. Hindawi Publishing Corporation 1997-12 /pmc/articles/PMC2395363/ /pubmed/18521221 http://dx.doi.org/10.1080/13577149778272 Text en Copyright © 1997 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Rougraff, Bruce T. Durbin, Mark Lawerence, Jackie Buckwalter, Kenneth Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses |
title | Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses |
title_full | Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses |
title_fullStr | Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses |
title_full_unstemmed | Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses |
title_short | Histologic Correlation With Magnetic Resonance Imaging for Benign and Malignant Lipomatous Masses |
title_sort | histologic correlation with magnetic resonance imaging for benign and malignant lipomatous masses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2395363/ https://www.ncbi.nlm.nih.gov/pubmed/18521221 http://dx.doi.org/10.1080/13577149778272 |
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