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首页> 外文会议>Conference on Medical Imaging: Computer-Aided Diagnosis >Traction bronchiectasis identification and quantitative biomarkers for follow-up in nonspecific interstitial pneumonia
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Traction bronchiectasis identification and quantitative biomarkers for follow-up in nonspecific interstitial pneumonia

机译：牵引支气管扩张鉴定和定量生物标志物，用于在非特异性间质性肺炎中随访

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As a subclass of interstitial lung diseases, nonspecific interstitial pneumonia (NSIP), defined by an association of inflammation and fibrotic lung lesions, leads to progressive loss of pulmonary function and premature mortality. Among fibrosis manifestations, traction bronchiectasis (TB) is one of the most critical, its presence being associated to poor prognosis. Accurate follow up is crucial to treatment decision and adaptation. In this paper we propose quantitative biomarkers for TB, associating spatial localization and severity measures. Bronchial tree segmentation and TB identification first exploited a semi-automatic approach for the definition of the ground truth, then used an automatic method involving a convolutional neural network. The CNN training/testing database included 73/18 patients respectively, with both baseline and follow up exams at one year; the detection performance was assessed in terms of precision, recall and F1-score. For both ground truth and CNN-segmented data, the following TB biomarkers were derived: TB ratio over total airway, airway volume, normalized tree length, and airway caliber (absolute and relative) deviation from the normal 2-power decrease law. A correlation study between the TB biomarkers and the initial and follow up pulmonary function tests was conducted. Among ground truth-based TB biomarkers. airway volume, normalized tree length, absolute caliber deviation and TB ratio over total airway showed significant negative correlation with both initial and follow-up pulmonary function parameters, manifesting as potential prognosis biomarkers. Among CNN-based TB biomarkers. airway volume, normalized tree length, relative and absolute caliber deviation showed significant negative correlation with follow-up pulmonary function parameters confirming their predictive potential.
机译：作为间质肺病的亚类，非特异性间质性肺炎（NSIP）（NSIP），由炎症和纤维化肺病变的关联定义，导致肺功能和过早死亡率丧失。在纤维化表现中，牵引支气管扩张（TB）是最关键的，其存在与预后差相关的存在之一。准确的后续行动对于治疗决策和适应至关重要。在本文中，我们向TB提出定量生物标志物，将空间定位和严重程度措施相关联。支气管树分割和TB识别首先利用了一个半自动方法，用于定义地面真理，然后使用涉及卷积神经网络的自动方法。 CNN培训/测试数据库分别包括73/18名患者，两者都有基线并在一年内进行后续考试;在精度，召回和F1分数方面评估了检测性能。对于地面真理和CNN分段数据，以下结核病生物标志物：来自总通气道，气道体积，规范化的树长和气道口径（绝对和相对）偏差的TB比率与正常的2功率下降法。进行了Tb生物标志物与初始和追随肺功能测试之间的相关性研究。在基于理论的TB生物标志物中。气道体积，归一化树长，绝对口径偏差和总通气道的比例与初始和后续肺功能参数显着的负相关，表现为潜在的预后生物标志物。在基于CNN的TB生物标志物中。气道体积，归一化树长，相对和绝对口径偏差显示出显着的负相关性与确认其预测潜力的后续肺功能参数。

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