Regulation of urea synthesis in rat liver. Changes of ornithine and acetylglutamate concentrations in the livers of rats subjected to dietary transitions.
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Biomedical subjects
Publications and source records attributed to M Sase.
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Two siblings with aneurysms of the muscular ventricular septum are presented. Case 1 (the older brother) underwent fetal echocardiography at 26 weeks of gestation. Initially, it was thought that he had a muscular ventricular septal defect; however, postnatal echocardiography revealed an aneurysm of the muscular portion of the ventricular septum. Retrospective review of the 26-weeks gestation fetal echocardiogram confirmed this diagnosis. Case 2 (a younger brother of the first case) was also diagnosed as having an aneurysm of the ventricular septum by fetal echocardiography at 28 weeks of gestation. Postnatal echocardiography confirmed this diagnosis.
We report here the extremely rare case of a 28-year-old woman with advanced stage uterine sarcoma arising soon after a cesarean section. She underwent an abdominal cesarean section because of a breech presentation. At the time of the procedure, there were no abnormal findings such as leiomyoma of the uterus in the abdominal cavity. One year later, she was referred to our hospital because of a large abdominal tumor. Transabdominal power Doppler ultrasonography and magnetic resonance imaging (MRI) showed a large hypervascular tumor in the abdominal cavity. Her serum levels, for the two tumor markers carbohydrate antigen CA125 and LDH, were elevated, at 219 U/ml (< 35 U/ml) and 862 IU/l (115 U/ml-217 U/ml), respectively. On the basis of a diagnosis of malignant tumor of gynecological origin, exploratory laparotomy was performed, and through biopsy, the tumor was found to be advanced undifferentiated uterine sarcoma. She exhibited a good response to neoadjuvant chemotherapy consisting of cisplatin, epirubicin, and dimethyltriazenoimidazole carboxamide (DTIC) every 28 days, which was successfully followed by a hysterectomy.
We present techniques of automatic nonlinear transformation of MR images (2D or 3D). A neural network automatically finds the corresponding parts between the subject's brain images and the standard images. By iterative operations, the network generates a set of image-shifting vectors to realize a plastic transformation. For precise matching, a set of markers can be placed manually before starting the transformation on landmarks of the images, e.g., on the anterior-posterior commissural line and on the central sulcus.