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骨髓增殖性肿瘤纤维化和骨硬化的定量:计算机辅助图像研究。

Quantification of fibrosis and osteosclerosis in myeloproliferative neoplasms: a computer-assisted image study.

机构信息

Department of Pathology, University of Utah, Salt Lake City, UT 84108, USA.

出版信息

Leuk Res. 2010 Jul;34(7):871-6. doi: 10.1016/j.leukres.2010.01.005. Epub 2010 Jan 31.

Abstract

Evaluation of bone marrow fibrosis and osteosclerosis in myeloproliferative neoplasms (MPN) is subject to interobserver inconsistency. Performance data for currently utilized fibrosis grading systems are lacking, and classification scales for osteosclerosis do not exist. Digital imaging can serve as a quantification method for fibrosis and osteosclerosis. We used digital imaging techniques for trabecular area assessment and reticulin fiber quantification. Patients with all Philadelphia negative MPN subtypes had higher trabecular volume than controls (p<or=0.0015). Results suggest that the degree of osteosclerosis helps differentiate primary myelofibrosis from other MPN. Numerical quantification of fibrosis highly correlated with subjective scores, and interobserver correlation was satisfactory. Digital imaging provides accurate quantification for osteosclerosis and fibrosis.

摘要

骨髓纤维化和硬化性骨髓增生性肿瘤(MPN)的评估存在观察者间的不一致。目前使用的纤维化分级系统缺乏性能数据,也没有骨硬化的分类量表。数字成像可以作为纤维化和硬化性的定量方法。我们使用数字成像技术评估小梁面积和网状纤维定量。所有费城阴性 MPN 亚型患者的小梁体积均高于对照组(p<or=0.0015)。结果表明,骨硬化程度有助于区分原发性骨髓纤维化和其他 MPN。纤维化的数值量化与主观评分高度相关,观察者间相关性良好。数字成像可准确量化纤维化和硬化性。

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