کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11021665 | 1703181 | 2018 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Stratégie diagnostique devant une tumeur graisseuse des tissus mous de l'adulte
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
انفورماتیک سلامت
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Stratégie diagnostique devant une tumeur graisseuse des tissus mous de l'adulte Stratégie diagnostique devant une tumeur graisseuse des tissus mous de l'adulte](/preview/png/11021665.png)
چکیده انگلیسی
Benign tumors containing fat, in particular lipoma, are the most common soft tissue tumors. Liposarcoma, though much rarer, is the second most common soft tissue sarcoma. Image-based identification of the fatty nature of a soft tissue tumor is relatively easy. On the other hand, the distinction between a lipoma or its variants, and an atypical lipomatous tumor/well-differentiated liposarcoma can be much more challenging. However, this differentiation is fundamental to the prognosis and management of patients, and the radiologist must know the indications for biopsy. This consensus statement by a group of French experts, including those of the national sarcoma group, aims to answer frequently-asked questions about fatty tumors and to develop recommendations for the various specialists involved in their management. The first part of this article is devoted to a diagnostic algorithm for fat-containing, soft tissue masses discovered on MRI and/or CT. The second part focuses on recent advances that are evolving the diagnostic and therapeutic strategy for these tumors.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal d'imagerie diagnostique et interventionnelle - Volume 1, Issue 4, September 2018, Pages 265-283
Journal: Journal d'imagerie diagnostique et interventionnelle - Volume 1, Issue 4, September 2018, Pages 265-283
نویسندگان
O. Fouque, M. Kind, B. Boulet, H. Brisse, S. Kemel, I. Genah, S. Taieb, E. Stoeckle, P. Meeus, M. Lae, D. Ranchère-Vince, J.-Y. Blay, J.-M. Coindre, J.-D. Laredo, S. Bonvalot,