ABSTRACT
Kidney tumor is one of the diseases threatening human health. Ultrasound is widely applied in kidney tumor diagnosis due to its high popularization, low price and no radiation. Accurate segmentation of kidney tumor is the basis of precise treatment. Kidney tumors often grow in the middle of cortex, so that segmentation is easy disturbed by nearby organs. Besides, ultrasound images own low contrast and large speckle, leading to difficult segmentation. This paper proposed a novel kidney tumor segmentation method in ultrasound images using adaptive sub-regional evolution level set models (ASLSM). Regions of interest are firstly divided into subareas. Secondly, object function is designed by integrating inside and outside energy and gradient, in which the ratio of these two parts are adjusted adaptively. Thirdly, ASLSM adapts convolution radius and curvature according to centroid principle and similarity inside and outside zero level set. Hausdorff distance (HD) of (8.75 ± 4.21) mm, mean absolute distance (MAD) of (3.26 ± 1.69) mm, dice-coefficient (DICE) of 0.93 ± 0.03 were obtained in the experiment. Compared with traditional ultrasound segmentation method, ASLSM is more accurate in kidney tumor segmentation. ASLSM may offer convenience for doctor to locate and diagnose kidney tumor in the future.
Subject(s)
Humans , Algorithms , Fetal Growth Retardation , Image Processing, Computer-Assisted , Kidney Neoplasms , Osteochondrodysplasias , UltrasonographyABSTRACT
<p><b>OBJECTIVE</b>To investigate the correlation of expressions of STAT3 and p-STAT3 with epithelial mesenchymal transition(EMT)-associated protein E-cadherin in colorectal cancer, and to examine the association of above expressions with tumor invasion and metastasis of colorectal cancer.</p><p><b>METHODS</b>Immunohistochemistry assay ElivisionTM plus was used to detect the expressions of STAT3, p-STAT3 and E-cadherin protein in colorectal cancer tissue samples of 50 cases and their corresponding adjacent non-tumor tissues. Association of these protein expressions with tumor invasion and metastasis was analyzed with χ(2) test. Correlation of STAT3 and p-STAT3 with E-cadherin was analyzed with Spearman method.</p><p><b>RESULTS</b>Positive expression rates of STAT3, p-STAT3 and E-cadherin protein in colorectal cancer tissues were 72%(36/50), 76%(38/50) and 26%(13/50), which were significantly higher compared to adjacent normal intestinal mucosa tissues [24%(12/50), 26%(13/50) and 68%(34/50), all P<0.05]. STAT3, p-STAT3 and E-cadherin expressions were associated with tumor differentiation, tumor invasion depth, tumor size, lymph node metastasis, TNM staging (all P<0.05). In colorectal cancer tissues, STAT3 protein expression was positively correlated with p-STAT3 expression. STAT3 and p-STAT3 expressions in colorectal cancer tissues were negatively correlated with E-cadherin expression(P<0.05).</p><p><b>CONCLUSION</b>STAT3 and p-STAT3 may be involved in tumor EMT through inhibition of E-cadherin expression, leading to the development of colorectal cancer.</p>
Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Biomarkers, Tumor , Metabolism , Cadherins , Metabolism , Colorectal Neoplasms , Metabolism , Pathology , Lymphatic Metastasis , Neoplasm Invasiveness , Phosphorylation , STAT3 Transcription Factor , MetabolismABSTRACT
Objective To detect the expression and potential correlation of ERK1 and P16 in gastrointestinal stromal tumor group and in control group.Methods Tissue chip and immunohistochemistry Elivison were used to detect the expression of ERK1 and P16 in 40 cases of gastrointestinal stromal tumor and 40 cases of control tissues.Quantitative analysis of mean absorbent density of the expression of ERK1 and P16 was conducted with image analytic software.Results The expressions of ERK was higher in GIST group than that in control group(P