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头颈部侵袭性纤维瘤病:基于40年(1968 - 2008年)文献综述的新分类

Aggressive fibromatosis of the head and neck: a new classification based on a literature review over 40 years (1968-2008).

作者信息

Kruse Astrid L, Luebbers Heinz T, Grätz Klaus W, Obwegeser Joachim A

机构信息

Department of Craniomaxillofacial and Oral Surgery, University of Zurich, Frauenklinikstr. 24, CH-8091 Zurich, Switzerland.

出版信息

Oral Maxillofac Surg. 2010 Dec;14(4):227-32. doi: 10.1007/s10006-010-0227-8.

Abstract

BACKGROUND

Fibromatosis is an aggressive fibrous tumor of unknown etiology that is, in some cases, lethal. Until now, there has been no particular classification for the head and neck. Therefore, the aim of the present study was to review the current literature in order to propose a new classification for future studies.

METHODS

An evidence-based literature review was conducted from the last 40 years regarding aggressive fibromatosis in the head and neck. Studies that summarized patients' data without including individual data were excluded.

RESULTS

Between 1968 and 2008, 179 cases with aggressive fibromatosis of the head and neck were published. The male to female ratio was 91 to 82 with a mean age of 16.87 years, and 57.32% of the described cases that involved the head and neck were found in patients under 11 years. The most common localization was the mandible, followed by the neck. All together, 143 patients were followed up, and in 43 (30.07%), a recurrence was seen.

CONCLUSION

No clear prognostic factors for recurrence (age, sex, or localization) were observed. A new classification with regard to hormone receptors and bone involvement could improve the understanding of risk factors and thereby assist in future studies.

摘要

背景

纤维瘤病是一种病因不明的侵袭性纤维肿瘤,在某些情况下是致命的。到目前为止,头颈部尚无特定的分类。因此,本研究的目的是回顾当前文献,以便为未来的研究提出一种新的分类方法。

方法

对过去40年中有关头颈部侵袭性纤维瘤病的文献进行循证综述。排除了汇总患者数据但未纳入个体数据的研究。

结果

1968年至2008年期间,共发表了179例头颈部侵袭性纤维瘤病病例。男女比例为91比82,平均年龄为16.87岁,57.32%的头颈部病例见于11岁以下患者。最常见的部位是下颌骨,其次是颈部。共有143例患者接受了随访,其中43例(30.07%)出现复发。

结论

未观察到复发的明确预后因素(年龄、性别或部位)。关于激素受体和骨受累情况的新分类可能会增进对危险因素的理解,从而有助于未来的研究。

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