ABSTRACT
ABSTRACT: Peritoneal and nodal gliomatosis is a rare disease condition characterized by implants of mature glial tissue on the peritoneum and lymph nodes. It is typically associated with teratoma and has no adverse effect on prognosis. We present a case of 22-year-old woman who underwent FDG PET/CT for the staging of ovarian immature teratoma. PET/CT revealed mildly increased FDG uptake in the peritoneal cavity and increased FDG uptake in the internal mammary and cardiophrenic angle lymph nodes, which were histopathologically diagnosed as peritoneal and nodal gliomatosis. This case suggests that PET/CT findings of peritoneal and nodal gliomatosis could mimic metastasis.
Subject(s)
Ovarian Neoplasms , Peritoneal Neoplasms , Teratoma , Female , Humans , Young Adult , Adult , Peritoneum/pathology , Positron Emission Tomography Computed Tomography , Fluorodeoxyglucose F18 , Peritoneal Neoplasms/secondary , Teratoma/diagnostic imaging , Teratoma/pathology , Ovarian Neoplasms/diagnostic imaging , Ovarian Neoplasms/pathologyABSTRACT
Ovarian cancer is one of the leading causes of deaths among patients with gynecological malignancies worldwide. In order to identify prognostic markers for ovarian cancer, we performed RNA-sequencing and analyzed the transcriptome data from 51 patients who received conventional therapies for high-grade serous ovarian carcinoma (HGSC). Patients with early-stage (I or II) HGSC exhibited higher immune gene expression than patients with advanced stage (III or IV) HGSC. In order to predict the prognosis of patients with HGSC, we created machine learning-based models and identified USP19 and RPL23 as candidate prognostic markers. Specifically, patients with lower USP19 mRNA levels and those with higher RPL23 mRNA levels had worse prognoses. This model was then used to analyze the data of patients with HGSC hosted on The Cancer Genome Atlas; this analysis validated the prognostic abilities of these two genes with respect to patient survival. Taken together, the transcriptome profiles of USP19 and RPL23 determined using a machine-learning model could serve as prognostic markers for patients with HGSC receiving conventional therapy.
ABSTRACT
Injection laryngoplasty (IL) has been used to treat various types of glottal insufficiency. The precise volume and location of the injected materials impact the outcomes. However, exactly how increasing volumes of material are distributed is unknown. In fact, the amount of IL material required to medialize a vocal cord tends to be determined empirically. Thus, the goal of this study was to investigate the pattern of IL material distribution by checking serial micro-computed tomography (MCT) and pressure changes during ILs. This experimental study used 10 excised canine larynges. Experimental devices included the IL syringe, pressure sensor, infusion pump, fixed frame, and monitoring system. We injected calcium hydroxyapatite in the thyroarytenoid muscle; whenever 0.1 mL of material was injected, we obtained an MCT scan while simultaneously measuring the pressure. After the experiments, we performed histologic analyses. MCT analyses showed that materials initially expanded centrifugally and then expanded in all directions within the muscle. The pressure initially increased rapidly but then remained relatively constant until the point at which the materials expanded in multiple directions. Histologic analyses showed that the IL material tended to expand within the epimysium of the thyroarytenoid muscle. However, in some cases, the MCT revealed that there were leakages to the surrounding space with a corresponding pressure drop. If the IL material passes through the epimysium, leakage can occur in the surrounding space, which can account for the reduction in resistance during ILs.