Literature DB >> 8557513

Quantitative analysis of the plain radiographic appearance of nonossifying fibroma.

J A Friedland1, W R Reinus, A J Fisher, A J Wilson.   

Abstract

RATIONAL AND
OBJECTIVES: To quantitate radiographic features that distinguish the plain radiographic appearance of nonossifying fibroma (NOF) from other solitary lesions of bone.
MATERIALS AND METHODS: Seven hundred nine cases of focal bone lesions, including 34 NOFs, were analyzed according to demographic, anatomic, and plain radiographic features. Vector analysis of groups of features was performed to determine those that are most sensitive and specific for the appearance of NOF in contrast to other lesions in the data base.
RESULTS: The radiographic appearance of NOFs was most consistently a medullary based (97%), lytic lesion (100%) with geographic bone destruction (100%), marginal sclerosis (97%), and well-defined edges (94%). A statistically significant number of lesions were located in the distal aspect of long bones. Unicameral bone cyst shared the most radiographic features with the NOF. Vector analysis showed a large degree of overlap between NOF and other lesions such as aneurysmal bone cyst, chondromyxoid fibroma, and eosinophilic granuloma. The description that optimized sensitivity and prevalence for detection of NOF is a medullary based, ovoid lesion in the distal or proximal portions of a long bone with well-defined edges, a partial or complete rind of sclerosis, and absence of fallen fragment, periosteal reaction, and cortical disruption.
CONCLUSION: The radiographic appearance of NOF is relatively nonspecific but, using vector analysis, can be better elucidated over current textbook descriptions.

Entities:  

Mesh:

Year:  1995        PMID: 8557513     DOI: 10.1097/00004424-199508000-00004

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  1 in total

1.  Non-ossifying fibroma mimicking distant metastasis of osteosarcoma on (99m)Tc-methylene diphosphonate bone scintigraphy: Diagnosis with single photon emission tomography/computed tomography.

Authors:  Punit Sharma; Harmandeep Singh; Chandrasekhar Bal; Rakesh Kumar
Journal:  Indian J Nucl Med       Date:  2014-07
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.