摘要:
The present invention is directed to a method for diagnosing large intestinal cancer and/or polyp and a method for observing postoperative course or monitoring recurrence thereof, wherein each method includes detecting cystatin SN protein by use of an anti-cystatin SN antibody. The present invention is able to provide a kit for assaying cystatin SN, which can be used, in a simple manner, in a diagnosis performed prior to conventional barium enema examination and endoscopic examination which impose burdens on patients; as an indicator of metastasis and recurrence; and in the evaluation of therapeutic effects. The present invention provides a method for diagnosing or monitoring large intestinal cancer and/or polyp which can be performed in a simple manner, and thus can allow to design a new regimen rapidly.
摘要:
A method for prognosing possible recurrence after treatment of the liver cancer, characterized by measuring GPC3 contained in a test sample by use of an anti-GPC3 antibody.
摘要:
A method for prognosing possible recurrence after treatment of the liver cancer, characterized by measuring GPC3 contained in a test sample by use of an anti-GPC3 antibody.
摘要:
CPU 12 reads out the bloodstream associated values of target voxel of subject's standardized brain bloodstream images (step S34). CPU 12 sorts the bloodstream associated values in descending order (step S35).CPU 12 rejects bloodstream associated values that are ranked top 10% and bottom 40% (step S36). When the subjects are 20 for example, bloodstream associated values of highest 2 subjects and of lowest 8 subjects are rejected. CPU 12 calculates and stores mean value and standard deviation of remaining bloodstream associated values after the rejection (step S37). CPU 12 calculates mean value and standard deviation of bloodstream associated values for each voxel as target voxel (steps S31, S32, S33 and S38). Then, the alternative normal brain database of brain bloodstream image is obtained.
摘要翻译:CPU12读出对象标准化脑血流图像的目标体素的血流相关值(步骤S34)。 CPU12以降序对血流关联值进行排序(步骤S35)。 CPU 12拒绝排名前10%和最低40%的血流相关值(步骤S36)。 当对象为20例时,最高2名受试者和最低8名受试者的血流相关值被拒绝。 CPU12计算并存储在排斥之后剩余血流相关值的平均值和标准偏差(步骤S37)。 CPU 12计算每个体素作为目标体素的血流相关值的平均值和标准偏差(步骤S31,S32,S33和S38)。 然后,获得脑血流图像的替代正常脑数据库。
摘要:
Disclosed is a method of removing heavy metals contained in exhaust gas which has been generated by burning a waste liquid containing the heavy metals discharged in a process of producing organic compounds. The method includes the steps in the order of: (a) a combustion step of burning the waste liquid to produce exhaust gas; (b) a gas-liquid contact step of rendering a liquid containing an alkali compound in contact with the exhaust gas to collect the heavy metals in bottoms of the liquid; and (c) a coagulating step of adding a coagulant to the bottoms to coagulate the heavy metals in the bottoms for removal of the heavy metals. According to this method, the heavy metals contained in the exhaust gas can be efficiently separated and removed.
摘要:
CPU 12 reads out the bloodstream associated values of target voxel of subject's standardized brain bloodstream images (step S34). CPU 12 sorts the bloodstream associated values in descending order (step S35).CPU 12 rejects bloodstream associated values that are ranked top 10% and bottom 40% (step S36). When the subjects are 20 for example, bloodstream associated values of highest 2 subjects and of lowest 8 subjects are rejected. CPU 12 calculates and stores mean value and standard deviation of remaining bloodstream associated values after the rejection (step S37). CPU 12 calculates mean value and standard deviation of bloodstream associated values for each voxel as target voxel (steps S31, S32, S33 and S38). Then, the alternative normal brain database of brain bloodstream image is obtained.
摘要翻译:CPU12读出对象标准化脑血流图像的目标体素的血流相关值(步骤S34)。 CPU12以降序对血流关联值进行排序(步骤S35)。 CPU 12拒绝排名前10%和最低40%的血流相关值(步骤S36)。 当对象为20例时,最高2名受试者和最低8名受试者的血流相关值被拒绝。 CPU12计算并存储在排斥之后剩余血流相关值的平均值和标准偏差(步骤S37)。 CPU 12计算每个体素作为目标体素的血流相关值的平均值和标准偏差(步骤S31,S32,S33和S38)。 然后,获得脑血流图像的替代正常脑数据库。
摘要:
A method of detecting a neurodegenerative disease includes (a) a standardization step of creating a first image by applying anatomical standardization to a brain nuclear medical image; (b) a conversion step of creating a second image by converting the pixel value of each pixel of an image based on the first image into a z score or a t value; (c) an addition step of calculating the sum of the pixel values of individual pixels in a predetermined region of interest in the second image; and (d) a detection step of obtaining the results of the detection of the neurodegenerative disease through an operation of comparison of the sum with a predetermined threshold.
摘要:
A method of detecting a neurodegenerative disease includes (a) a standardization step of creating a first image by applying anatomical standardization to a brain nuclear medical image; (b) a conversion step of creating a second image by converting the pixel value of each pixel of an image based on the first image into a z score or a t value; (c) an addition step of calculating the sum of the pixel values of individual pixels in a predetermined region of interest in the second image; and (d) a detection step of obtaining the results of the detection of the neurodegenerative disease through an operation of comparison of the sum with a predetermined threshold.
摘要:
CPU 12 reads out the bloodstream associated values of target voxel of subject's standardized brain bloodstream images (step S34). CPU 12 sorts the bloodstream associated values in descending order (step S35). CPU 12 rejects bloodstream associated values that are ranked top 10% and bottom 40% (step S36). When the subjects are 20 for example, bloodstream associated values of highest 2 subjects and of lowest 8 subjects are rejected. CPU 12 calculates and stores mean value and standard deviation of remaining bloodstream associated values after the rejection (step S37). CPU 12 calculates mean value and standard deviation of bloodstream associated values for each voxel as target voxel (steps S31, S32, S33 and S38). Then, the alternative normal brain database of brain bloodstream image is obtained.
摘要翻译:CPU12读出对象标准化脑血流图像的目标体素的血流相关值(步骤S34)。 CPU12以降序对血流关联值进行排序(步骤S35)。 CPU 12拒绝排名前10%和最低40%的血流相关值(步骤S36)。 当对象为20例时,最高2名受试者和最低8名受试者的血流相关值被拒绝。 CPU12计算并存储在排斥之后剩余血流相关值的平均值和标准偏差(步骤S37)。 CPU 12计算每个体素作为目标体素的血流相关值的平均值和标准偏差(步骤S31,S32,S33和S38)。 然后,获得脑血流图像的替代正常脑数据库。