Background: The purpose of this study was to elucidate the association between sentinel lymph node (SLN) metastasis and Ki67 labeling index and to elucidate whether Ki-67 was useful or not for prediction of SLN metast...Background: The purpose of this study was to elucidate the association between sentinel lymph node (SLN) metastasis and Ki67 labeling index and to elucidate whether Ki-67 was useful or not for prediction of SLN metastasis in breast cancer. Methods: We identified 343 invasive breast cancer patients with sentinel lymph node biopsy (SLNB) from 2003 to 2012. The association between SLN status and clinicopathological features, molecular subtypes and Ki-67 labeling index were evaluated. Results: SLN metastasis was detected in 79 patients (23.0%). SLN metastasis was significantly associated with clinical T-stage (p = 0.0003), lymphovascular involvement (LVI) (p 0.0001). Ki-67 labeling index of primary tumor was significantly lower in SLN positive patients (p = 0.0331), and Ki-67 cut-off point of 7.5% was useful for dividing SLN positive from negative (p = 0.0197). Conclusion: Low value of Ki-67 labeling index, in addition to progression of clinical T-stage and presence of LVI, is significantly associated with SLN metastasis, and it seems to be useful to consider Ki-67 labeling index for SLN metastasis prediction.展开更多
为进一步优化重叠社区检测算法,提出了一种新的基于度和节点聚类系数的节点重要性定义,按照节点重要性降序更新节点,固定节点更新策略,提高社区检测的稳定性。在此基础上,提出了一种基于图嵌入和多标签传播的重叠社区检测算法(overlappi...为进一步优化重叠社区检测算法,提出了一种新的基于度和节点聚类系数的节点重要性定义,按照节点重要性降序更新节点,固定节点更新策略,提高社区检测的稳定性。在此基础上,提出了一种基于图嵌入和多标签传播的重叠社区检测算法(overlapping community detection based on graph embedding and multi-label propagation algorithm,OCD-GEMPA)。该算法结合node2vec模型对节点进行低维向量表示,构建节点之间的权重值矩阵,根据权重值计算标签归属系数,据此选择标签,避免了随机选择问题。在真实数据集和人工合成数据集上对该算法进行实验验证。实验结果表明,与其他重叠社区检测算法相比,OCD-GEMPA在EQ和NMI这两个指标都有明显提升,具有更好的准确性和稳定性。展开更多
Development of sentinel node navigation surgery (SNNS) and advances in minimally invasive surgical techniques have greatly shaped the modern day approach to gastric cancer surgery.An extensive body of knowledge now ex...Development of sentinel node navigation surgery (SNNS) and advances in minimally invasive surgical techniques have greatly shaped the modern day approach to gastric cancer surgery.An extensive body of knowledge now exists on this type of clinical application but is principally composed of single institute studies.Certain dye tracers,such as isosulfan blue or patent blue violet,have been widely utilized with a notable amount of success;however,indocyanine green is gaining popularity.The double tracer method,a synchronized use of dye and radio-isotope tracers,appears to be superior to any of the dyes alone.In the meantime,the concepts of infrared ray electronic endoscopy,florescence imaging,nanoparticles and near-infrared technology are emerging as particularly promising alternative techniques.Hematoxylin and eosin staining remains the main method for the detection of sentinel lymph node (SLN) metastases.Several specialized centers have begun to employ immunohistochemical staining for this type of clinical analysis but the equipment costs involving the associated ultra-rapid processing systems is limiting its widespread application.Laparoscopic function-preserving resection of primary tumor from the stomach in conjunction with lymphatic basin dissection navigated by SLN identification represents the current paramount of SNNS for early gastric cancer.Patients with cT3 stage or higher still require standard D 2 dissection.展开更多
为解决标签传播的社区检测算法容易产生怪物社区和不稳定社区划分的问题,以标签熵为基础,提出一种重叠社区检测算法LEKA(Label Entropy and K-shell Algorithm in overlapping community),综合考虑了标签初始化、标签更新和标签传播的...为解决标签传播的社区检测算法容易产生怪物社区和不稳定社区划分的问题,以标签熵为基础,提出一种重叠社区检测算法LEKA(Label Entropy and K-shell Algorithm in overlapping community),综合考虑了标签初始化、标签更新和标签传播的各个阶段。首先,利用K-shell算法对节点进行初始化以获取节点的层次信息;其次,依据标签熵升序依次更新节点标签,在选择标签时综合节点间的层次信息和节点间的影响,在存在多个候选标签的情况下基于节点标签权重进行选取。在真实网络数据集上的实验结果表明,LEKA在运行时间较短的情况下,重叠模块度EQ(ExtendQ)相较于OCKELP(Overlapping Community detection algorithm based on K-shell and label Entropy in Label Propagation)提高了2.3%~13.2%,具有较高的准确性和稳定性,更适合挖掘网络中的重叠社区结构。展开更多
文摘Background: The purpose of this study was to elucidate the association between sentinel lymph node (SLN) metastasis and Ki67 labeling index and to elucidate whether Ki-67 was useful or not for prediction of SLN metastasis in breast cancer. Methods: We identified 343 invasive breast cancer patients with sentinel lymph node biopsy (SLNB) from 2003 to 2012. The association between SLN status and clinicopathological features, molecular subtypes and Ki-67 labeling index were evaluated. Results: SLN metastasis was detected in 79 patients (23.0%). SLN metastasis was significantly associated with clinical T-stage (p = 0.0003), lymphovascular involvement (LVI) (p 0.0001). Ki-67 labeling index of primary tumor was significantly lower in SLN positive patients (p = 0.0331), and Ki-67 cut-off point of 7.5% was useful for dividing SLN positive from negative (p = 0.0197). Conclusion: Low value of Ki-67 labeling index, in addition to progression of clinical T-stage and presence of LVI, is significantly associated with SLN metastasis, and it seems to be useful to consider Ki-67 labeling index for SLN metastasis prediction.
文摘为进一步优化重叠社区检测算法,提出了一种新的基于度和节点聚类系数的节点重要性定义,按照节点重要性降序更新节点,固定节点更新策略,提高社区检测的稳定性。在此基础上,提出了一种基于图嵌入和多标签传播的重叠社区检测算法(overlapping community detection based on graph embedding and multi-label propagation algorithm,OCD-GEMPA)。该算法结合node2vec模型对节点进行低维向量表示,构建节点之间的权重值矩阵,根据权重值计算标签归属系数,据此选择标签,避免了随机选择问题。在真实数据集和人工合成数据集上对该算法进行实验验证。实验结果表明,与其他重叠社区检测算法相比,OCD-GEMPA在EQ和NMI这两个指标都有明显提升,具有更好的准确性和稳定性。
文摘Development of sentinel node navigation surgery (SNNS) and advances in minimally invasive surgical techniques have greatly shaped the modern day approach to gastric cancer surgery.An extensive body of knowledge now exists on this type of clinical application but is principally composed of single institute studies.Certain dye tracers,such as isosulfan blue or patent blue violet,have been widely utilized with a notable amount of success;however,indocyanine green is gaining popularity.The double tracer method,a synchronized use of dye and radio-isotope tracers,appears to be superior to any of the dyes alone.In the meantime,the concepts of infrared ray electronic endoscopy,florescence imaging,nanoparticles and near-infrared technology are emerging as particularly promising alternative techniques.Hematoxylin and eosin staining remains the main method for the detection of sentinel lymph node (SLN) metastases.Several specialized centers have begun to employ immunohistochemical staining for this type of clinical analysis but the equipment costs involving the associated ultra-rapid processing systems is limiting its widespread application.Laparoscopic function-preserving resection of primary tumor from the stomach in conjunction with lymphatic basin dissection navigated by SLN identification represents the current paramount of SNNS for early gastric cancer.Patients with cT3 stage or higher still require standard D 2 dissection.
文摘为解决标签传播的社区检测算法容易产生怪物社区和不稳定社区划分的问题,以标签熵为基础,提出一种重叠社区检测算法LEKA(Label Entropy and K-shell Algorithm in overlapping community),综合考虑了标签初始化、标签更新和标签传播的各个阶段。首先,利用K-shell算法对节点进行初始化以获取节点的层次信息;其次,依据标签熵升序依次更新节点标签,在选择标签时综合节点间的层次信息和节点间的影响,在存在多个候选标签的情况下基于节点标签权重进行选取。在真实网络数据集上的实验结果表明,LEKA在运行时间较短的情况下,重叠模块度EQ(ExtendQ)相较于OCKELP(Overlapping Community detection algorithm based on K-shell and label Entropy in Label Propagation)提高了2.3%~13.2%,具有较高的准确性和稳定性,更适合挖掘网络中的重叠社区结构。
