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目的：通过计算机辅助的声学组织密度定量新技术评价糖尿病患者心肌组织特征。方法：研究对象为３３例非胰岛素依赖型糖尿病患者和３３例正常人。常规获取二尖瓣和乳头肌水平的短轴切面。采用Ｗｉｎｄｏｗ９５支持下的ＰｈｏｔｏＳｈｏｐ３０５软件对图像进行分析。首先以心腔的灰阶水平为本底对图像进行校正，每个切面分成室间隔、前壁、侧壁及后壁四个节段。在每一节段中分别随机圈取３个排除心内膜、心外膜在外的固定大小圆形感兴趣区，计算机可由此分析心肌的灰阶均值、灰阶分布离散度和优势灰阶等３个指标，整体心肌密度为每个切面４个节段的平均值。结果：糖尿病组左室二尖瓣水平短轴切面和乳头肌水平短轴切面的整体灰阶水平高于健康对照组（Ｐ＜００１）。糖尿病组的心肌整体灰阶离散度与对照组相比较有显著差异（Ｐ＜００５，Ｐ＜００１）。糖尿病组左室二尖瓣水平短轴切面和乳头肌水平短轴切面各节段的灰阶均值也分别高于健康对照组（Ｐ＜００１）。结论：该技术能够较敏感地进行心肌组织灰阶的识别，有利于早期诊断糖尿病的心肌继发病变。
OBJECTIVE: To evaluate the myocardial tissue characteristics of diabetic patients by computer-aided new method of acoustic density densitometry. Methods: The subjects were 33 non-insulin dependent diabetic patients and 33 normal controls. Short-axis views of mitral valve and papillary muscle are routinely obtained. The use of Window95 support PhotoShop3 05 software for image analysis. First, the gray level of the heart chamber as the background of the image correction, each section is divided into ventricular septum, anterior wall, side wall and the posterior wall of the four segments. In each segment were randomly selected three exclusion of the endocardium, epicardium outside the fixed size of the circular region of interest, the computer can be analyzed from the gray-scale mean, gray-scale distribution and the advantages of gray-scale dispersion 3 indicators, the overall myocardial density for each section of the average of 4 segments. Results: The overall grayscale level of left ventricular mitral short axis view and papillary muscle short axis view was higher in diabetic group than in healthy control group (P <001). There was a significant difference in gray scale dispersion in diabetic group compared with control group (P <005, P <001). Mean gray value of mitral valve horizontal axis and papillary muscle short axis of each segment in diabetic group were also higher than those in healthy control group (P <001). Conclusion: This technique can detect the grayscale of myocardium more sensitively and is beneficial to the early diagnosis of myocardial secondary lesion of diabetes.