77 research outputs found

    Association between Carotid Wall Shear Stress-Based Vascular Vector Flow Mapping and Cerebral Small Vessel Disease

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    博士(医学)Doctor of Philosophy in Medical Science広島大学Hiroshima Universit

    Ganglioneuroma with Calcification Mimicking Adrenal Tumor: A Case Report

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    A 28-year-old woman was referred to our hospital complaining of upper abdominal discomfort. The patient had been receiving medical treatment for hypertension. Computed tomography revealed a 30 mm solid tumor with calcification in the left adrenal gland and a 8 mm nodule in the right adrenal gland. Endocrinological examinations revealed no activity of either adrenal mass. The left adrenal tumor was extirpated, because malignancy of the tumor was not ruled out. Histopathological examination proved that the tumor was ganglioneuroma arising from the extra-adrenal retroperitoneum

    A scale-free structure prior for graphical models with applications in functional genomics

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    The problem of reconstructing large-scale, gene regulatory networks from gene expression data has garnered considerable attention in bioinformatics over the past decade with the graphical modeling paradigm having emerged as a popular framework for inference. Analysis in a full Bayesian setting is contingent upon the assignment of a so-called structure prior—a probability distribution on networks, encoding a priori biological knowledge either in the form of supplemental data or high-level topological features. A key topological consideration is that a wide range of cellular networks are approximately scale-free, meaning that the fraction, , of nodes in a network with degree is roughly described by a power-law with exponent between and . The standard practice, however, is to utilize a random structure prior, which favors networks with binomially distributed degree distributions. In this paper, we introduce a scale-free structure prior for graphical models based on the formula for the probability of a network under a simple scale-free network model. Unlike the random structure prior, its scale-free counterpart requires a node labeling as a parameter. In order to use this prior for large-scale network inference, we design a novel Metropolis-Hastings sampler for graphical models that includes a node labeling as a state space variable. In a simulation study, we demonstrate that the scale-free structure prior outperforms the random structure prior at recovering scale-free networks while at the same time retains the ability to recover random networks. We then estimate a gene association network from gene expression data taken from a breast cancer tumor study, showing that scale-free structure prior recovers hubs, including the previously unknown hub SLC39A6, which is a zinc transporter that has been implicated with the spread of breast cancer to the lymph nodes. Our analysis of the breast cancer expression data underscores the value of the scale-free structure prior as an instrument to aid in the identification of candidate hub genes with the potential to direct the hypotheses of molecular biologists, and thus drive future experiments

    On scale-free priors and their applicability on large-scale network inference with graphical models

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    This paper concerns the specification, and performance, of scale-free prior distributions with a view toward large-scale network inference from small-sample data sets. We devise three scale-free priors and implement them in the framework of Gaussian graphical models. Gaussian graphical models are used in gene network inference where high-throughput data describing a large number of variables with comparatively few samples are frequently analyzed by practitioners. And, although there is a consensus that many such networks are scale-free, the modus operandi is to assign a random network prior. Simulations demonstrate that the scale-free priors outperform the random network prior at recovering scale-free trees with degree exponents near 2, such as are characteristic of many real-world systems. On the other hand, the random network prior compares favorably at recovering scale-free trees characterized by larger degree exponents

    Conversion of office buildings

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    Building conversion is a way of activating and reusing vacant office buildings. Former research (Barlow and Gann, 1993, Brand, 1994, Douglas, 2006, Geraedts and Van der Voordt, 2003, 2007) has shown possibilities for conversion through theory and practise, and has delivered instruments for determining the conversion possibility of vacant buildings. Still, building conversion is not taking place on a large scale. There may be several reasons; lack of knowledge about building conversion, uncertainty about financial feasibility, and little knowledge about the chances and risks of building conversions. This paper aims at answering the following questions: What are the risks and chances of building conversions? Can these be revealed at an early stage, increasing the feasibility of the project? These questions will be answered based on a cross-case analysis of 14 buildings in the Netherlands which were converted from offices to housing. We will discuss legal, financial, technical, functional and architectonic issues, both theoretically and empirically, by presenting findings from the 14 cases, revealing the risks and chances of building conversions to support decision making on dealing with vacant office buildings.Accepted manuscriptReal Estate Managemen

    Metastatic Renal Tumor from Oral Floor Cancer : A Case Report

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    A 61-year-old man with oral floor cancer (adenoid cystic carcinoma, T2N0M1) was treated with systemicc hemotherapy and radiation therapy at the department of dentistry and oral surgery in our hospital. He had three lung metastases and renal tumors detected by screening computed tomography. The oral floor cancer responded to the treatment to achieve partial response. However, lung and renal metastases did not respond to chemotherapy. Then, the patient was referred to our clinic to rule out the possibility of lung metastasis from renal cell carcinoma. Laparoscopic left nephrectomy was performed and pathological examination on the renal lesions revealed adenoid cystic carcinoma, which had identical histopathological features to the oral floor cancer. To our knowledge, this is the first report of metastatic renal tumor from oral floor cancer (adenoid cystic carcinoma)

    Adrenal Pheochromocytoma with Multiple Neurofibromatosis on the Trunk

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    We report a case of adrenal pheochromocytoma in a patient with neurofibromatosis type 1 (NF1). A 65-year-old female patient was admitted to our hospital for examination of a right adrenal mass. The adrenal tumor was incidentally discovered by abdominal computed tomography during examination for hypertension in another hospital. She had large multiple neurofibromatous lesions and café-au-lait spots on the trunk. We thought that it was difficult to make a skin incision on normal skin. Serum and urinary catecholamines were markedly increased. Magnetic resonance imaging revealed a solid round tumor 3 cm in diameter, located in the right adrenal gland. Laparoscopic right adrenalectomy was performed. Serum and urinary catecholamines returned to the normal range on post-operative day 10. Laparoscopic surgery may be a good option for NF1 patients with pheochromocytoma, especially those who had multiple neurofibromatosis on the trunk

    Adult Mature Teratoma of the Testis : A Case Report

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    A 33-year-old man visited our hospital complaining of painless left scrotal swelling. Serum alphafetoprotein (AFP) and human chorionic gonadotropin-beta (HCG-β) were within normal range. Computed tomography revealed a heterogeneous tumor in the left scrotum and para-aortic lymph node swelling. We diagnosed the tumor as stage IIA testicular cancer and performed left high inguinal orchiectomy. Histopathological diagnosis was mature teratoma with no associated malignant germ cell tumor. The patient was followed-up without adjuvant chemotherapy because the size of para-aortic lymph nodes was remarkably reduced one month after the orchiectomy. The patient must be followed up carefully for possible metastasis
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