公开(公告)号：US20070048749A1

公开(公告)日：2007-03-01

申请号：US11284845

申请日：2005-11-23

申请人： Chiung-Nien Chen ,  Jen-Jen Lin ,  Fon-Jou Hsieh ,  King-Jen Chang

发明人： Chiung-Nien Chen ,  Jen-Jen Lin ,  Fon-Jou Hsieh ,  King-Jen Chang

IPC分类号： C12Q1/68 ,  G06F19/00

CPC分类号： C12Q1/6886 ,  C12Q2600/112 ,  C12Q2600/118

摘要： Disclosed is a method for survival prediction in gastric cancer patents after surgical operation, which uses a survival prediction model determined by known statistical method and gene expression microarray profiles. The survival prediction model is established by selecting special genes expressing significantly differential from pairs of cancerous and noncancerous tissue samples from patients with known survival conditions after surgical operation, confirming the concordance of RT-PCR analysis with the microarray gene expression profile, identifying most specific genes among the special genes using a statistical method, and determining the survival prediction model based on training set samples. The method of the present invention can be applied in gastric cancer patients to predict survival conditions after surgical operation and to provide a strategy for succeeding treatment and a reference for adjuvant chemotherapy.

摘要翻译： 公开了一种外科手术后胃癌专利生存预测方法，该方法采用已知统计学方法和基因表达微阵列分析确定的生存预测模型。 生存预测模型是通过选择在外科手术后具有已知生存条件的患者的癌组织和非癌组织样品的表达显着差异的特异基因来确定的，证实了RT-PCR分析与微阵列基因表达谱的一致性，鉴定了大多数特异性基因 在使用统计学方法的特殊基因中，并且基于训练集样本确定生存预测模型。 本发明的方法可应用于胃癌患者，以预测手术后的生存条件，并提供后续治疗策略和辅助化疗参考。

公开(公告)号：US08047993B2

公开(公告)日：2011-11-01

申请号：US11099570

申请日：2005-04-06

申请人： Yio-Wha Shau ,  Fon-Jou Hsieh ,  King-Jen Chang ,  Sun-Hua Pao ,  Chiung-Nein Chen

发明人： Yio-Wha Shau ,  Fon-Jou Hsieh ,  King-Jen Chang ,  Sun-Hua Pao ,  Chiung-Nein Chen

IPC分类号： A61B5/05 ,  G06K9/00

CPC分类号： A61B8/08 ,  A61B5/021 ,  A61B8/04

摘要： Disclosed is a method for detecting the degree of malignancy in tumors noninvasively, which comprises the steps of: using a Power Doppler ultrasound unit to scan a tumor and capture sequential color imagines in a complete heartbeat cycle, and choosing an area of interest (AREA_ROI) from the images; labeling pixels reflecting signals of bloodflow in the imagines during one heartbeat cycle to contour an area of tumor blood vessels (AREA_vessel); calculating a difference of PDVI between maximal systolic pressure and diastolic pressure during the heartbeat cycle to obtain tumor differential vascularity index (TDVI), in which PDVI is the ratio obtained by dividing pixels of AREA_vessel by a total area in the section of AREA_ROI; and determining the degree of malignancy by the TDVI. The method of the present invention can be applied to monitor the response of tumor to clinical treatment.

摘要翻译： 公开了一种用于非侵入性地检测肿瘤恶性程度的方法，其包括以下步骤：使用功率多普勒超声单元扫描肿瘤并捕获完整心跳周期中的连续彩色想象，并选择感兴趣区域（AREA_ROI） 从图像; 标记在一个心跳周期中反映想象中血流信号的像素，以轮廓肿瘤血管的区域（AREA_vessel）; 计算心跳周期内最大收缩压和舒张压之间的PDVI差异，以获得肿瘤差异血管指数（TDVI），其中PDVI是通过将AREA_vessel的像素除以AREA_ROI部分的总面积获得的比率; 并确定TDVI的恶性程度。 本发明的方法可用于监测肿瘤对临床治疗的反应。

公开(公告)号：US20060241463A1

公开(公告)日：2006-10-26

申请号：US11099570

申请日：2005-04-06

申请人： Yio-Wha Shau ,  Fon-Jou Hsieh ,  King-Jen Chang ,  Sun-Hua Pao ,  Chiung-Nein Chen

发明人： Yio-Wha Shau ,  Fon-Jou Hsieh ,  King-Jen Chang ,  Sun-Hua Pao ,  Chiung-Nein Chen

IPC分类号： A61B8/00

CPC分类号： A61B8/08 ,  A61B5/021 ,  A61B8/04

摘要： Disclosed is a method for detecting the degree of malignancy in tumors noninvasively, which comprises the steps of: using a Power Doppler ultrasound unit to scan a tumor and capture sequential color imagines in a complete heartbeat cycle, and choosing an area of interest (AREA_ROI) from the images; labeling pixels reflecting signals of bloodflow in the imagines during one heartbeat cycle to contour an area of tumor blood vessels (AREA_vessel); calculating a difference of PDVI between maximal systolic pressure and diastolic pressure during the heartbeat cycle to obtain tumor differential vascularity index (TDVI), in which PDVI is the ratio obtained by dividing pixels of AREA_vessel by a total area in the section of AREA_ROI; and determining the degree of malignancy by the TDVI. The method of the present invention can be applied to monitor the response of tumor to clinical treatment.

摘要翻译： 公开了一种用于非侵入性地检测肿瘤恶性程度的方法，其包括以下步骤：使用功率多普勒超声单元扫描肿瘤并捕获完整心跳周期中的连续彩色想象，并选择感兴趣区域（AREA_ROI） 从图像; 标记在一个心跳周期中反映想象中血流信号的像素，以轮廓肿瘤血管的区域（AREA_vessel）; 计算心跳周期内最大收缩压和舒张压之间的PDVI差异，以获得肿瘤差异血管指数（TDVI），其中PDVI是通过将AREA_vessel的像素除以AREA_ROI部分的总面积获得的比率; 并确定TDVI的恶性程度。 本发明的方法可用于监测肿瘤对临床治疗的反应。