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多排螺旋 CT 对早期周围型小肺癌的诊断价值分析
引用本文:朱向会,阮守宇,李群武,黄青,欧波,张义平,李玲.多排螺旋 CT 对早期周围型小肺癌的诊断价值分析[J].西南国防医药,2014(7):763-765.
作者姓名:朱向会  阮守宇  李群武  黄青  欧波  张义平  李玲
作者单位:[1]解放军44医院放射科,贵阳550009 [2]解放军44医院神经内科,贵阳550009
摘    要:目的:探讨多排螺旋 CT 对早期周围型小肺癌的诊断价值。方法收集近4年我院经穿刺活检或手术切除病理证实,同时具有完整多排螺旋 CT 检查资料的43例周围型小肺癌患者,对该疾病影像学特点(分叶征、毛刺征、支气管充气征、血管集束征、空泡征、胸膜凹陷征)进行系统的分析。结果本组43例病变均为直径≤20 mm 的孤立性结节,均行胸部多排螺旋 CT 扫描、横断面高分辨 CT(HRCT)扫描、动态 CT 增强扫描及胸部容积多平面重建(MPR),所有患者病变至少具有该疾病影像学特点中的2-3个征象,可作为该病影像及临床诊断的可靠依据。结论多排螺旋 CT 对周围型小肺癌能够准确定位,具有较高的检出率和应用价值,能够为临床诊断及治疗提供客观的参考及依据。

关 键 词:周围型  肺癌  孤立性结节  影像学特点

Diagnostic value of multi-sclice spiral CT in early small peripheral lung cancer
Zhu Xianghui,Ruan Shouyu,Li Qunwu,Huang Qing,Ou Bo,Zhang Yiping,Li Ling.Diagnostic value of multi-sclice spiral CT in early small peripheral lung cancer[J].Medical Journal of National Defending forces in Southwest China,2014(7):763-765.
Authors:Zhu Xianghui  Ruan Shouyu  Li Qunwu  Huang Qing  Ou Bo  Zhang Yiping  Li Ling
Institution:1. Department of Radiology,2. Department of Neurology, Hospital 44 of PLA, Guiyang, Guizhou,550009, China)
Abstract:Objective To explore the diagnostic value of multi-slice spiral CT in small peripheral lung cancer( SPLC). Methods The complete data of multi-slice spiral CT of 43 cases with SPLC confirmed by biopsy or postoperative pathological study were collected and a systematic analysis was made to the imaging features of the disease. Results The lesions in the 43 cases were all the isolated nodules with the diameter of ≤20 mm;all the cases underwent chest multi-slice spiral CT scanning,HRCT scanning, dynamic enforced CT scanning and MPR of chest volume. The scanning showed out at least 2 to 3 imaging features of the disease,which provided a reliable basis for imaging and clinical diagnosis. Conclusions Multi-slice spiral CT is accurate in the location of SPLC and is of high detection rate and application value as it can provide objective reference and basis for clinical diagnosis and treatment.
Keywords:multi-slice spiral CT  peripheral  lung cancer  isolated nodule  imaging features
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