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首页> 外文会议>IEEE International Ultrasonics Symposium >Spatial-resolution optimization of 3D high-frequency quantitative ultrasound methods to detect metastatic regions in human lymph nodes
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Spatial-resolution optimization of 3D high-frequency quantitative ultrasound methods to detect metastatic regions in human lymph nodes

机译：用于检测人淋巴结转移区域的3D高频定量超声方法的空间分辨率优化

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Proper staging and treatment of cancer require accurate detection of lymph-node metastases, but current histological methods fail to detect small, but clinically significant metastases. We used novel 3D quantitative ultrasound (QUS) methods to identify metastatic regions in freshly excised lymph nodes from cancer patients. Individual lymph nodes were scanned in 3D using a 26-MHz, single-element, F2 transducer with a 12-mm focal length. QUS methods quantified the backscatter coefficient to yield four estimates in cylindrical regions of interest (ROIs) having equal lengths and diameters ranging from 0.4 to 1 mm. To optimize the tradeoff between QUS-estimate quality and the spatial resolution of the estimates, the effect of ROI size on estimate bias and variance was investigated using a database of 101 lymph nodes of colorectal-cancer patients. Estimates were combined using linear-discriminant approaches and ROC curves were computed to assess classification performance. A Bayesian approach was used to convert the discriminant scores to 3D cancer-probability estimates throughout each lymph node. Analysis indicated that ROIs with a 0.8-mm length and diameter improved spatial resolution and minimally degraded estimate quality with an average variance increase of <;20% for each estimate. The area under the ROC curve remained greater than 0.92 for all ROI sizes. Our QUS methods potentially can reduce the rate of false-negative determinations drastically by efficiently guiding pathologists to suspicious regions in lymph nodes, and having the best possible spatial resolution while retaining adequate estimate quality is critical.
机译：正确的分期和治疗癌症需要准确检测淋巴结转移，但是目前的组织学方法无法检测到微小但具有临床意义的转移。我们使用新颖的3D定量超声（QUS）方法来识别癌症患者新鲜切除的淋巴结中的转移区域。使用具有12mm焦距的26MHz单元件F2换能器以3D方式扫描各个淋巴结。 QUS方法对反向散射系数进行了量化，以在长度和直径范围从0.4到1毫米相等的圆柱感兴趣区域（ROI）中产生四个估计值。为了优化QUS估计质量与估计的空间分辨率之间的权衡，使用101个结直肠癌患者淋巴结数据库研究了ROI大小对估计偏差和方差的影响。使用线性判别方法合并估算值，并计算ROC曲线以评估分类性能。使用贝叶斯方法将整个每个淋巴结的判别分数转换为3D癌症概率估计值。分析表明，长度和直径为0.8毫米的ROI改善了空间分辨率，并使估计质量降到最低，每个估计的平均方差增加<; 20％。对于所有ROI大小，ROC曲线下的面积均保持大于0.92。我们的QUS方法可以有效地指导病理学家前往淋巴结中的可疑区域，并在保持足够的估计质量的同时具有最佳的空间分辨率，从而可以大大降低假阴性判定的比率。

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