Prophylaxis and Early Detection for Breast Cancer

Abstract: Breast cancer is steadily increasing in number in Japan due to less child bearing, less breast-feeding, and more westernization of life style than ever. Cancer registration in Osaka reported the incidence of breast cancer in 1996 to 1998 to be 41.1/100,000, four-times higher than the value in 1966-1968. Avoiding overweight, animal fat intake and mental stresses is a basic and easy measure for prevention of breast cancer. A unique study performed in Japan shows that daily intake of 10 or more cups of green tea inhibits development of breast cancer. A large-scale study by National Surgical Adjuvant Breast and Bowel Project (NSABP) revealed that 5-year tamoxifen administration to high-risk women decreased the incidence of breast cancer to 1/2 of the value for control women. Early diagnosis of breast cancer is most effectively achieved by fine needle aspiration cytology if the tumor is palpable with joint work with capable cytologists. More recently, stereo-tactic biopsy devices are available for non-palpable lesions. Mammography is more frequently used in mass screening system though its essential merit is yet to be investigated

Predicting sentinel lymph node metastasis in breast cancer with lymphoscintigraphy

金沢大学医薬保健研究域保健学系Objective: Lymphoscintigraphy is an effective method for detecting sentinel lymph nodes (SLNs). However, the rate and degree of SLN detection is not uniform. We quantified SLNs detected with lymphoscintigraphy, and investigated correlations with factors that may influence detection. We then attempted to predict SLN metastasis from lymph node counts, comparing the predictions to subsequent biopsy results. Methods: We assessed lymph node counts in 100 breast cancer patients in whom a single SLN was detected with a fixed lymphoscintigraphy procedure. We examined correlations between the counts and factors known to influence lymphoscintigraphic SLN detection (age, body mass index, tumor size, and presence or absence of metastasis), and determined reference values (lymph node counts of 10.0, 19.4 and 53.0) which were used to predict SLN metastasis in 100 subsequent patients. The predictions were then compared with the SLN biopsy findings. Results: SLN counts correlated strongly with the presence or absence of metastasis, with metastasis-positive lymph nodes showing significantly lower counts than negative nodes (p < 0.001). Prediction of SLN metastasis achieved a 100% positive predictive value at a reference value of 10.0, and a 100% negative predictive value at a reference value of 53.0. At a reference value of 19.4, the sensitivity, specificity, and diagnostic accuracy were 77.8, 73.2, and 74.0%, respectively. Conclusions: The SLN counts detected with lymphoscintigraphy were significantly lower in metastasis-positive lymph nodes than in metastasis-negative lymph nodes. This suggests that prediction of SLN metastasis in breast cancer is possible using lymphoscintigraphy. © 2010 The Japanese Society of Nuclear Medicine

Studies of Multiple Endocrine Neoplasia Type 2A Syndrome: Linkage Analyses and Comparison of Constitutional and Tumor Genotypes

Linkage analyses were carried out in nine Japanese kindreds with multiple endocrine neoplasia type 2A (MEN-2A) using polymorphic classical markers and DNA markers. We excluded close linkage of the MEN-2A gene (MEN2A) locus with Gm, JK, PGMl, and a DNA segment, D20S5, which is assigned to band 12 of the short arm of chromosome 20 (20p12.2). Assuming that MEN2A is recessive at the cellular level as in retinoblastoma (RB) and Wilms\u27 tumor (WT). comparison of constitutional and tumor genotypes may be useful in the search for the MEN2A locus. When DNA samples from 12 patients with medullary thyroid carcinoma (MTC) were compared with 15 polymorphic DNA markers including two assigned to chromosome 20, the results were negative. Both the negative linkage data and the failure to find loss of heterozygosity in MTC with chromosome 20 probes suggest that MEN2A may not be at 20p12.2, which was previously suggested as the site of an inherited chromosomal deletion in MEN-2A

Motion Vector Estimation of Textureless Objects Exploiting Reaction-Diffusion Cellular Automata

Conventional motion estimation algorithms extract motion vectors from image sequences based on the image's local-brightness differences in consecutive images. Therefore, motion vectors are extracted along the moving edges formed by moving objects over their background. However, in the case of "textureless" moving objects, motion vectors inside the objects cannot be detected because no brightness (texture) differences exist inside the object. Severe issues may incur in motion-related imaging applications because motion-vectors of vast (inner) regions of textureless objects can not be detected, although the inner part is moving with the object's edges. To solve this problem, we propose an unconventional image-processing algorithm that generates spatial textures based on object's edge information, allowing the detection of the textures motion. The model is represented by a 2-D crossbar array of a 1-D reaction-diffusion (RD) model where 1-D spatial patterns are created inside objects and aggregated to form textures. Computer simulations confirm the approach, showing the formation of textures over approaching objects, which may open applications in machine vision and automated decision systems