No abstract available.
Glucose* ; Humans ; Infant, Newborn* ; Metabolism*

No abstract available.
Autoradiography* ; Brain* ; Rats, Wistar* ; Receptors, Muscarinic*

No abstract available.
Breast Neoplasms* ; Breast*

No abstract available.
Antibodies, Monoclonal* ; Blood Cells*

The authors did clinical analysis for 37 cases, ranging from 5 to 13 year old of age and following result obtained. 1. In group I partial involved type had brightful prognosis even in the neglected the cases. 2. Ischeal brace did not give any help to group II & III but in group I, it gave some help to the prognosis. 3. In untreated cases of old age group developed early arthritic changes. 4. The inital radiological bony changes in early L-C-P. cases was the demineralization of the subchondral area and subsequently subohondral vaccum phenomena followed.
Braces ; Humans ; Prognosis

OBJECTIVES: Although sonography-guided core needle biopsy is a highly targeted method, there is a possibility of an invasive component after surgical excision of ductal carcinoma in situ (DCIS) of the breast. This study was performed to develop and validate nomograms to predict the postoperative invasive component in DCIS at core needle biopsy. METHODS: Two nomograms were developed using the data of previous meta-analysis and multivariate analysis. Nomograms were validated externally using the data of the authors' affiliation. The accuracy was validated by the expected-to-observed ratio and the Hosmer-Lemeshow goodness-of-fit test. Discrimination was validated by the area under the curve (AUC) of receiver operating characteristic (ROC) curve analysis. RESULTS: The nomogram using the meta-analysis study data was developed at http://dcis-m.surgery.kr.pe/, and the nomogram using the multivariate analysis study data was developed at http://dcis-k.surgery.kr.pe/. The Hosmer-Lemeshow goodness-of-fit test showed that the nomogram using multivariate analysis data (p = 0.131) was better calibrated than that using meta-analysis data (p < 0.001). ROC curve analysis showed statistically significant power of discrimination in both nomograms (AUC = 0.776, 0.751). CONCLUSIONS: Both nomograms showed statistically significant discriminatory power, but the nomogram using the data of multivariate analysis was simpler and more reliable. These would be useful for the prediction of invasive cancer and the need for sentinel node biopsy in DCIS at core needle biopsy.
Biopsy* ; Biopsy, Large-Core Needle ; Breast* ; Carcinoma, Intraductal, Noninfiltrating* ; Discrimination (Psychology) ; Internet ; Multivariate Analysis ; Needles* ; Nomograms* ; ROC Curve

Cancer tissues are characterized by increased glucose uptake. 18F-fluorodeoxyglucose(FDG), a glucose analogue is used for the diagnosis of cancer in PET studies. This study was aimed to compare the glucose uptake and glucose transporter l(GLUT1) expression in various human colon cancer cells. We measured FDG uptake by cell retention study and expression of GLUTI using Western blotting. Human colon cancer cells, SNU-C2A, SNU-C4 and SNU-C5, were used. The cells were incubated with 1micro Ci/ml of FDG in HEPES-buffered saline for one hour. The FDG uptake of SNU-C2A,SNU-C4 and SNU-C5 were 16.8+/-1.36, 12.3+/-5.55 and 61.0+/-2.17cpm/microgram of protein, respectively. Dose-response and time-course studies represent that FDG uptake of cancer cells were dose dependent and time dependent. The rate of FDG uptake of SNU-C2A, SNU-C4 and SNU-C5 were 0.29+/-0.03, 0.21+/-0.09 and 1.07+/-0.07cpm/min/microgram of protein, respectively. Western blot analysis showed that the GLUT1 expression of SNU-C5 was significantly higher than those of SNU-C2A and SNU-C4. These results represent that FDG uptake into human colon cancer cells are different from each other. In addition, FDG uptake and expression of CLUT1 are closely related in human colon cancer cells.
Blotting, Western ; Colon* ; Colonic Neoplasms* ; Diagnosis ; Glucose ; Glucose Transport Proteins, Facilitative ; Humans*

OBJECTIVES: The goal of this report is to present an individual patient's survival estimation curve using the each institution's survival data after Cox proportional hazard analysis. METHODS: The program was developed in three parts: input of basic data from Cox proportional hazard analysis, input of individual patient's covariates, and presentation of individual patient's survival curve. In the first part, the average survival rates with each survival time were entered as the means of covariates using the results of Cox proportional hazard analysis. In the second part, the individual patient's values of each covariate were entered for the calculation of survival estimation. In the third part, the survival curve was displayed according to the input data. RESULTS: The data of 2,652 breast cancer patients were analyzed. Cox regression analysis was conducted using the covariates of age, tumor size, N stage, and M stage. The individual patient's survival curve was presented using the basic data and covariate factors. In the breast cancer patients, the program presented survival curves according to each patient's age, tumor size, N stage, and M stage. The data of 251 thyroid cancer patients were analyzed by a similar method. CONCLUSIONS: We developed a program to present individual survival curves of cancer patients. This program will be useful for clinicians to assist their decision-making and discussion with patients.
Breast Neoplasms ; Humans ; Prognosis ; Survival Rate ; Thyroid Neoplasms

No abstract available.
Peutz-Jeghers Syndrome*

No abstract available.
Child* ; Epilepsy* ; Humans