Al-Ani Zeid, Fernando Malee, Wilkinson Victoria, Kotnis Nikhil
1 Radiology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield , United Kingdom.
2 Pathology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield , United Kingdom.
Br J Radiol. 2018 Jun;91(1086):20170725. doi: 10.1259/bjr.20170725. Epub 2018 Jan 17.
Deep-seated, low-grade lipomatous lesions detected on imaging often cause uncertainty for diagnosis and treatment. Confidently distinguishing lipomas from well-differentiated liposarcomas is often not possible on imaging. The approach to management of such lesions varies widely between institutions. Applying an evidenced-based approach set around published literature that clearly highlights how criteria such as lesion size, location, age and imaging features can be used to predict the risk of well-differentiated liposarcomas and subsequent de-differentiation would seem sensible. Our aim is to review the literature and produce a unified, evidence-based guideline that will be a useful tool for managing these lesions.
影像学检查发现的深部、低级别脂肪瘤样病变常常给诊断和治疗带来不确定性。在影像学上，通常无法可靠地区分脂肪瘤和高分化脂肪肉瘤。各机构对这类病变的处理方法差异很大。采用基于已发表文献的循证方法，明确强调病变大小、位置、年龄和影像学特征等标准如何用于预测高分化脂肪肉瘤的风险及后续去分化情况，似乎是合理的。我们的目的是回顾文献并制定一个统一的、基于证据的指南，作为管理这些病变的有用工具。
