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腮腺肿块89例的CT评价
引用本文:许建生,姚沛旭,陈少龙,陈卫鹏,郑锡元. 腮腺肿块89例的CT评价[J]. 影像诊断与介入放射学, 2007, 16(1): 7-9
作者姓名:许建生  姚沛旭  陈少龙  陈卫鹏  郑锡元
作者单位:522000,广东揭阳市人民医院放射科
摘    要:目的探讨CT扫描在腮腺肿块诊断和鉴别诊断中的价值。方法回顾性分析经手术病理证实的腮腺肿块89例CT表现。结果89例肿块包括:良性肿瘤44例,潴留囊肿7例,炎性病灶8例,恶性肿瘤30例。CT定位准确89例。良性肿瘤和囊肿多表现为轮廓光整,边缘规则,界限清楚(49/51);而恶性肿瘤多表现为轮廓不规则,边界模糊(22/30),和向周围组织侵犯(11/30)(P<0.01);4例结核和2例脓肿病灶周围腮腺组织出现“磨玻璃”样改变,而其他病灶未见该征象。4例腺淋巴瘤表现为多发灶(4/7)。术前CT对肿块良恶性的鉴别诊断正确率82%(73/89)。结论CT对腮腺肿块定位准确,CT对肿块的良恶性鉴别诊断基本可靠,但组织学的分类价值有限。“磨玻璃”样改变是腮腺炎性团块的特征性表现。

关 键 词:腮腺  肿瘤  体层摄影术,X线计算机
收稿时间:2006-10-18
修稿时间:2006-10-18

Evaluation the value of CT scanning in diagnosing parotid massas(a report of 89 cases )
XU Jian-sheng,YAO Pei-xu,CHEN Shao-long,CHEN Wei-peng,ZHENG Xi-yuan. Evaluation the value of CT scanning in diagnosing parotid massas(a report of 89 cases )[J]. Journal of Diagnostic Imaging & Interventional Radiology, 2007, 16(1): 7-9
Authors:XU Jian-sheng  YAO Pei-xu  CHEN Shao-long  CHEN Wei-peng  ZHENG Xi-yuan
Abstract:Objective To evaluate the value of CT findings in diagnosing and differential diagnosis of parotid masses.Methods The CT findings of 89 parotid masses proved by operation and pathology were retrospectively analyzed.Results Of all the 89 parotid masses,there were 44 benign tumors,7 retention cysts,8 inflammatory lesions and 30 malignant lesions.All the cases were accurately localized.Benign tumors and retention cysts showed regular and well-defined margins(49/51).In the other hand,irregular and ill-defined margins(22/30)with surrounding tissues infiltration(11/30)were found in malignant masses(P< 0.01).The parotid tissues around the lesions showed ground-grass appearance in 4 cases of tuberculosis and 2 inflammatory lesions.4 cases of adenolymphomas were multifocal.The CT diagnostic accuracy was 82% in differentiating benign and malignant lesion(73/89).Conclusions CT can localize parotid masses excellently and is useful in the differentiation of the benign and malignant lesions.But it is unable to tell the pathologic type of the lesions.Ground-grass appearance is the characteristic feature of tuberculous and inflammatory nodules.
Keywords:Parotid  Tumor  X-ray computed  tomography
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