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Abstract：
UNASSIGNED: Non-small cell lung cancer (NSCLC) patients without lymph node (LN) metastases (pN0) may exhibit different survival rates, even when their T stage is similar. This divergence could be attributed to the current pathology practice, wherein LNs are examined solely in two-dimensional (2D). Unfortunately, adhering to the protocols of 2D pathological examination does not ensure the exhaustive sampling of all excised LNs, thereby leaving room for undetected metastatic foci in the unexplored depths of tissues. The employment of micro-computed tomography (micro-CT) facilitates a three-dimensional (3D) evaluation of all LNs without compromising sample integrity. In our study, we utilized quantitative micro-CT parameters to appraise the metastatic status of formalin-fixed paraffin-embedded (FFPE) LNs.
UNASSIGNED: Micro-CT scans were conducted on 12 FFPEs obtained from 8 NSCLC patients with histologically confirmed mediastinal LN metastases. Simultaneously, whole-slide images from these FFPEs underwent scanning, and 47 regions of interest (ROIs) (17 metastatic foci, 11 normal lymphoid tissues, 10 adipose tissues, and 9 anthracofibrosis) were marked on scanned images. Quantitative structural variables obtained via micro-CT analysis from tumoral and non-tumoral ROIs, were analyzed.
UNASSIGNED: Significant distinctions were observed in linear density, connectivity, connectivity density, and closed porosity between tumoral and non-tumoral ROIs, as indicated by kappa coefficients of 1, 0.90, 1, and 1, respectively. Receiver operating characteristic analysis substantiated the differentiation between tumoral and non-tumoral ROIs based on thickness, linear density, connectivity, connectivity density, and the percentage of closed porosity.
UNASSIGNED: Quantitative micro-CT parameters demonstrate the ability to distinguish between tumoral and non-tumoral regions of LNs in FFPEs. The discriminatory characteristics of these quantitative micro-CT parameters imply their potential usefulness in developing an artificial intelligence algorithm specifically designed for the 3D identification of LN metastases while preserving the FFPE tissue.
UNASSIGNED: Micro-CT scans were conducted on 12 FFPEs obtained from 8 NSCLC patients with histologically confirmed mediastinal LN metastases. Simultaneously, whole-slide images from these FFPEs underwent scanning, and 47 regions of interest (ROIs) (17 metastatic foci, 11 normal lymphoid tissues, 10 adipose tissues, and 9 anthracofibrosis) were marked on scanned images. Quantitative structural variables obtained via micro-CT analysis from tumoral and non-tumoral ROIs, were analyzed.
UNASSIGNED: Significant distinctions were observed in linear density, connectivity, connectivity density, and closed porosity between tumoral and non-tumoral ROIs, as indicated by kappa coefficients of 1, 0.90, 1, and 1, respectively. Receiver operating characteristic analysis substantiated the differentiation between tumoral and non-tumoral ROIs based on thickness, linear density, connectivity, connectivity density, and the percentage of closed porosity.
UNASSIGNED: Quantitative micro-CT parameters demonstrate the ability to distinguish between tumoral and non-tumoral regions of LNs in FFPEs. The discriminatory characteristics of these quantitative micro-CT parameters imply their potential usefulness in developing an artificial intelligence algorithm specifically designed for the 3D identification of LN metastases while preserving the FFPE tissue.
摘要：
■无淋巴结（LN）转移（pN0）的非小细胞肺癌（NSCLC）患者可能表现出不同的生存率，即使他们的T阶段相似。这种差异可以归因于当前的病理学实践，其中仅在二维(2D)中检查LN。不幸的是,坚持2D病理检查的方案不能确保所有切除的LN的详尽采样，从而在未探查的组织深度中为未发现的转移灶留出空间。微计算机断层扫描（micro-CT）的使用有助于对所有LN进行三维（3D）评估，而不会损害样品的完整性。在我们的研究中,我们利用定量显微CT参数来评估福尔马林固定石蜡包埋（FFPE）LN的转移状态。
■对从8例经组织学证实的纵隔LN转移的NSCLC患者获得的12例FFPE进行了Micro-CT扫描。同时,来自这些FFPE的整个幻灯片图像进行了扫描，和47个感兴趣区域(ROI)(17个转移灶，11个正常淋巴组织，10脂肪组织，和9个炭疽纤维化）在扫描图像上标记。通过显微CT分析从肿瘤和非肿瘤ROI获得的定量结构变量，进行了分析。
■在线性密度中观察到显着差异，连通性,连接密度，肿瘤和非肿瘤ROI之间的闭孔，如Kappa系数分别为1、0.90、1和1所示。接收器工作特征分析证实了基于厚度的肿瘤和非肿瘤ROI之间的区别，线密度,连通性,连接密度，和闭孔百分比。
■定量微CT参数表明能够区分FFPE中LN的肿瘤区域和非肿瘤区域。这些定量微CT参数的辨别特征暗示了它们在开发专门设计用于LN转移的3D识别同时保留FFPE组织的人工智能算法中的潜在有用性。
■对从8例经组织学证实的纵隔LN转移的NSCLC患者获得的12例FFPE进行了Micro-CT扫描。同时,来自这些FFPE的整个幻灯片图像进行了扫描，和47个感兴趣区域(ROI)(17个转移灶，11个正常淋巴组织，10脂肪组织，和9个炭疽纤维化）在扫描图像上标记。通过显微CT分析从肿瘤和非肿瘤ROI获得的定量结构变量，进行了分析。
■在线性密度中观察到显着差异，连通性,连接密度，肿瘤和非肿瘤ROI之间的闭孔，如Kappa系数分别为1、0.90、1和1所示。接收器工作特征分析证实了基于厚度的肿瘤和非肿瘤ROI之间的区别，线密度,连通性,连接密度，和闭孔百分比。
■定量微CT参数表明能够区分FFPE中LN的肿瘤区域和非肿瘤区域。这些定量微CT参数的辨别特征暗示了它们在开发专门设计用于LN转移的3D识别同时保留FFPE组织的人工智能算法中的潜在有用性。
