Lehmkuhl H, Blunck B, Altstidl R, Barth K, Bachmann K
Department of Cardiology, University of Erlangen-Nuremberg, Erlangen, Germany.
J Cardiovasc Surg (Torino). 1996 Dec;37(6 Suppl 1):7-12.
In digital angiocardiography left ventricular volumes are routinely calculated by the area-length-method (ALM) which is considered to be a standard and with which other techniques are compared. Densitometric analysis (DENS) is an alternative method and can be performed on-line but may lead to erroneous results. A novel technique of densitometric calculation of left ventricular enddiastolic and endsystolic volume (LVEDV resp. LVESV) is presented. Digital images were analyzed by measuring densities of iodine signals and transforming these into calculated volumes by applying appropriate computer algorithms. The evaluation of volumes in cardiac models demonstrated significant correlations between true volumes and both DENS and ALM. An algorithmic approach to volume correction in patient evaluation of left ventricular volumes was drawn from the linear regression analysis of DENS and true volumes in the cardiac models. LVEDV and LVESV calculated by DENS correlated significantly with volumes determined by ALM in patients (r=0.78 resp. r=0.83) but showed a systematic underestimation for volumes > or =45 ml without densitometric correction. Following correction for DENS, an improvement in calculation was observed for volumes < or =200 ml without systematic deviations. In conclusion, our study demonstrates that corrected densitometric volumetry offers the potential for a reliable on-line analysis of enddiastolic and endsystolic volumes. Modest, but no systematic deviations for densitometric analysis may be anticipated in myogene dilatation with volumes larger than 200 ml. However, when comparing both DENS and ALM, method-related errors of both techniques are present and account for volume deviations.
在数字血管造影术中,左心室容积通常采用面积-长度法(ALM)计算,该方法被视为标准方法,其他技术与之进行比较。密度测定分析(DENS)是另一种方法,可在线进行,但可能导致错误结果。本文介绍了一种计算左心室舒张末期和收缩末期容积(分别为LVEDV和LVESV)的新型密度测定技术。通过测量碘信号密度并应用适当的计算机算法将这些密度转换为计算容积来分析数字图像。对心脏模型中容积的评估表明,实际容积与DENS和ALM之间存在显著相关性。通过对心脏模型中DENS与实际容积的线性回归分析,得出了患者左心室容积评估中容积校正的算法方法。患者中通过DENS计算的LVEDV和LVESV与通过ALM确定的容积显著相关(r分别为0.78和0.83),但对于容积≥45 ml且未经密度测定校正时,显示出系统性低估。经过DENS校正后,观察到容积≤200 ml时计算有所改善且无系统性偏差。总之,我们的研究表明,校正后的密度测定容积法为舒张末期和收缩末期容积的可靠在线分析提供了潜力。对于容积大于200 ml的肌源性扩张,密度测定分析可能会有适度但无系统性偏差。然而,在比较DENS和ALM时,两种技术都存在与方法相关的误差,这导致了容积偏差。