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Preoperative Evaluation And Multiple Factors Analysis For The Consistency Of Pituitary Adenoma

Posted on:2012-06-09Degree:MasterType:Thesis
Country:ChinaCandidate:C S LiuFull Text:PDF
GTID:2154330332496443Subject:Surgery
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Objective: To conduct multivariate correlation analysis of the consistency of pituitary adenoma so as to guide its preoperative evaluation and chose appropriate surgical approach.Methods: Clinical,image and surgical data of 73 patients were collected. The signal ratios of the tumors to white matters in T2 weighted MRI were measured preoperativly. According to the surgical finding,tumor consistency was divided into two types:the soft(50)cases and the hard(23) cases .Collagen contents within the tumors were detected by the means of Sirius red stain and the expression of TIMP1 and TGF-β1 was detected with immunohistochemistry.Results:①It is found that the consistency of pituitary adenoma have no significant relationship with the clinical characteristics such as gender,tumor size, tumor types and their growth way.②The signal ratios of the tumors to white matters in T2 weighted MRI (T2WI/TWSIR)were 1.068±0.204 and 2.203±0.361 and collagen contents within the tumors were (29.388±14.772 )% and (8±2.475 )% respectively in the hard and soft group.The difference between two groups was significant(p<0.05).In addition,collagen content was negatively correlated to T2WI/TWSIR (r=-0.787,p<0.05).③The expressions of TGF-β1 were 0.62±0.23and0.28±0.4 respectively in the hard and soft group. Similiarly, the expressions of TIMP1 were 0.53±0.15 and 0.25±0.17 respectively.Both of them were positively correlated with the collagen content (r=0.781,r=0.46,p<0.05).Conclusion:The significant pathological feature is collagen deposition in harden adenomas. T2WI/TWSIR of the tumor can be used to predict the consistency of adenoma presurgically. TGF-β1 and TIMP1 may play an important role in the formation of consistency of pituitary adenoma.
Keywords/Search Tags:pituitary adenoma, consistency, preoperative evaluation, multiple factors analysis
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