颅底蝶骨骨内脂肪瘤。

Q4 Medicine
Open Neuroimaging Journal Pub Date : 2012-01-01 Epub Date: 2012-11-02 DOI:10.2174/1874440001206010099
Morteza Sanei Taheri, Ramin Pourghorban, Massoud Sajadi Nassab, Reza Pourghorban
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引用次数: 2

摘要

骨内脂肪瘤是一种罕见的良性肿瘤,多发生于下肢,尤其是骨钙和长骨嵴。颅骨骨内脂肪瘤更为罕见,文献报道有12例涉及蝶骨。我们提出第三个报告的病例蝶骨骨内脂肪瘤在一个43岁的男人头痛,高催乳素血症和视力障碍。磁共振成像(MRI)显示垂体大腺瘤和轻度扩张性病变,T1和t2加权序列高信号强度,位于左侧蝶骨和斜坡内。患者拒绝手术切除垂体大腺瘤,转而进行药物治疗;此后,随访的CT和MRI扫描显示垂体大腺瘤消退,而蝶骨病变在17个月后被描述为一个明确的含脂肪的骨内病变,没有明显的生长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sphenoclival intraosseous lipoma in skull base.

Sphenoclival intraosseous lipoma in skull base.

Sphenoclival intraosseous lipoma in skull base.

Sphenoclival intraosseous lipoma in skull base.

Intraosseous lipoma is a rare benign tumor, mostly occurring in lower limb especially in os calcis and the metaphyses of long bones. Intraosseous lipoma of the skull is even rarer, with 12 cases having been reported to involve the sphenoid bone in the literature. We present the third reported case of sphenoclival intraosseous lipoma in a 43-year-old man with headache, hyperprolactinemia and visual disturbance. Performed Magnetic Resonance Imaging (MRI) revealed pituitary macroadenoma as well as a mildly expansile lesion with high signal intensity on both T1- and T2-weighted sequences within the left greater wing of the sphenoid and the clivus. The patient refused to undergo surgical removal of pituitary macroadenoma and medical treatment was initiated instead; thereafter, follow up Computed Tomography (CT) and MRI scans revealed regression of the pituitary macroadenoma whereas the sphenoclival lesion was depicted as a welldefined fat-containing intraosseous lesion which showed no perceptible growth, 17 months later.

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来源期刊
Open Neuroimaging Journal
Open Neuroimaging Journal Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
0.70
自引率
0.00%
发文量
3
期刊介绍: The Open Neuroimaging Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, and letters in all important areas of brain function, structure and organization including neuroimaging, neuroradiology, analysis methods, functional MRI acquisition and physics, brain mapping, macroscopic level of brain organization, computational modeling and analysis, structure-function and brain-behavior relationships, anatomy and physiology, psychiatric diseases and disorders of the nervous system, use of imaging to the understanding of brain pathology and brain abnormalities, cognition and aging, social neuroscience, sensorimotor processing, communication and learning.
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