| 周姝 杨本强 杨忠路 郭晓东 张红萍.多层螺旋CT 测定肺容积指标对慢性阻塞性肺疾病的诊断价值探讨[J].,2014,14(27):5293-5295 |
| 多层螺旋CT 测定肺容积指标对慢性阻塞性肺疾病的诊断价值探讨 |
| Value of Pulmonary Volume Index Measured by MDCT on the Diagnosis ofChronic Obstructive Pulmonary Disease |
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| DOI： |
| 中文关键词: 多层螺旋CT 扫描 慢性阻塞性肺疾病 肺容积测定 临床诊断 |
| 英文关键词: MDCT COPD Lung volume index Clinical diagnosis |
| 基金项目:国家自然科学基金青年科学基金项目(30901795） |
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| 中文摘要: |
| 目的：分析多层螺旋CT检测慢性阻塞性肺疾病患者肺容积指数的准确性，探讨多层螺旋CT 的诊断价值，为慢性阻塞性肺
病的临床诊断提供可借鉴的方法。方法：选取2010 年10 月-2012 年8月我院收治的慢性阻塞性肺疾病患者98例为观察组，另选
取同期接受体检的健康志愿者70 例为对照组。采用多层螺旋CT 测定两组不同肺区的肺容积指标并与临床PFT 指标进行相关
性分析。结果：对照组与观察组的肺功能指标存在显著差异(P<0.05)；观察组患者在不同肺区测定的Vin 及上肺区Vin-Vex 值无
统计学意义(P>0.05)；最大呼气末容积(Vex)、容积比(Vex/Vin)和肺容积变化比率[(Vin-Vex)/Vin]均呈显著差异，具有统计学意义
(P<0.05)；肺容积差(Vin-Vex)与各项PFT 指标无相关性(P>0.05)。结论：64层螺旋CT 肺容积成像对诊断COPD有预测意义，值得
临床上进一步研究和推广。 |
| 英文摘要: |
| Objective:To analyze the accuracy and diagnostic value of MDCT scanning on the diagnosis of the chronic
obstructive pulmonary disease by calculating the lung volume index so as to provide some referential methods for the clinical field.Methods:98 patients with chronic obstructive pulmonary disease who were treated in our hospital from October 2010 to August 2012
were selected as the observation group (COPD group), and another 70 healthy people who were taken the examination were chosen to be
the control group. Then the pulmonary lung volume index in different sections of patients were detected by means of the multilayer spiral
CT, and the correlation of the clinical index and the PFT were analyzed.Results:There was statistically significant difference about the
lung function index of patients between the two groups (P<0.05); When comparing with the control group, there was no statistically
significant difference about the Vin and Vin-Vex at different sections of patients in the COPD group (P>0.05). There were statistically
significant differences about the Vex, the Vex/Vin, the (Vin-Vex)/Vin and the various PFT indexes(P<0.05).Conclusion:It is indicated
that the application of MDCT on the diagnosis of COPD could be used to predict lung volume for clinical research and extensions. |
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