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| 四肢躯干低度恶性纤维黏液肉瘤与黏液纤维肉瘤的临床病理比较分析 | |
| 引用本文： | 黄晓赤,罗克枢,吴蓉宜,赵剑萍,唐艳.四肢躯干低度恶性纤维黏液肉瘤与黏液纤维肉瘤的临床病理比较分析[J].临床与实验病理学杂志,2009,25(2). |
| 作者姓名： | 黄晓赤 罗克枢 吴蓉宜 赵剑萍 唐艳 |
| 作者单位： | 1. 成都市第六人民医院病理科,成都,610051 2. 成都军区总医院病理科,成都,610083 3. 成都市第三人民医院病理科,成都,610015 |
| 摘 要： | 目的 探讨发生在躯干肢体5例低度恶性的纤维黏液肉瘤(low-grade fibromyxoid sarcoma,LGFMS)和4例黏液纤维肉瘤(myxofibrosarcoma,MFS)的临床病理特征、生物学行为、诊断和鉴别诊断.方法 分析5例LGFMS的临床病理资料、大体形态、组织学特点、免疫组化标记和预后,并与4例MFS相比较.结果 两类肿瘤能够在组织形态学方面进行鉴别,LGFMS由梭形细胞构成,具有黏液区和纤维间质交替分布的特点.肿瘤细胞无异型性,肿瘤组织无坏死.MFS以细长弯曲的薄壁血管和脂母细胞样细胞为特征,伴有丰富的黏液区而没有大面积的实性区,有肿瘤性坏死.两类肿瘤在免疫组化标记、肿瘤位置和患者的年龄方面也有差别.结论 LGFMS是一种罕见肿瘤,临床病理及生物学行为与MFS不同,二者可以通过临床病理特点进行鉴别,LGFMS较之MFS有更好的预后. |
| 关 键 词： | 软组织肿瘤 纤维黏液肉瘤 黏液纤维肉瘤 预后 |
Low-grade fibromyxoid sarcoma versus myxofibrosarcoma in extremities and trunk:a comparative analysis of clinicopathological features |
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| HUANG Xiao-chi,LUO Ke-shu,WU Rong-yi,ZHAO Jian-ping,Tang Yan.Low-grade fibromyxoid sarcoma versus myxofibrosarcoma in extremities and trunk:a comparative analysis of clinicopathological features[J].Chinese Journal of Clinical and Experimental Pathology,2009,25(2). | |
| Authors: | HUANG Xiao-chi LUO Ke-shu WU Rong-yi ZHAO Jian-ping Tang Yan |
| Institution: | 1Department of Pathology;Chengdu Sixth People's Hospital;Chengdu 610051;China;2Department of Pathology;General Hospital of Chengdu Military Command;Chengdu 610083;3Department of Pathology;Chengdu Three People's Hospital;Chengdu 610015;China |
| Abstract: | Purpose To investigate the clinicopathological features,behavior,diagnosis and differential diagnosis of low-grade fibromyxoid sarcoma (LGFMS) and myxofibrosarcoma (MFS) in trunk and extremites.Methods Five cases of LGFMS were analyzed and compared with 4 cases of MFS with respect to clinical information,macroscopy,histology,immunohistochemical markers and prognosis.Results The two entities could be distinguished on histological grounds.LGFMS was composed of bland spindle cells with alternating myxoid and f... |
| Keywords: | soft tissue neoplasm fibromyxoid sarcoma myxofibrosarcoma prognosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |