Mimics of primary ovarian cancer and primary peritoneal carcinomatosis - A pictorial review.

Numerous conditions can mimic ovarian malignancy. Identifying the origin of a pelvic mass or disseminated peritoneal abnormality on imaging is important to ensure that the patient receives optimal management by the appropriate clinical team. Ovarian cancer mimics include infections and other neoplastic processes, for example, actinomycosis, lymphoma, and sarcoma. We will illustrate intraperitoneal and extraperitoneal ovarian and non-ovarian mimics. Primary peritoneal carcinomatosis mimics include processes such as deep infiltrating endometriosis and rare causes such as gliomatosis peritonei and diffuse peritoneal leiomyomatosis. We aim to illustrate the multimodality key imaging appearances of common and rarer types of mimics.

Extraction and characterization of a new natural cellulosic fiber from the Habara Plant Stem (HF) as potential reinforcement for polymer composites.

In this present work, characterize the chemical, physical, thermal and Morphological behaviour of raw and alkali-treated (NaOH 5 %,10 % & 15 %) new natural cellulose Habara plant stem fiber (HF). From the chemical analysis, the 10 % alkali-treated HF obtained cellulose (67.9 %), hemicellulose (12.7 %), lignin (11.8 %) wax (0.18 %), moisture (2.44 %) and Ash (1.21 %). Fourier Transform Infrared Spectroscopy Analysis, alkali treatment effectively eliminates hemicellulose and lignin from the surfaces of natural fiber, as seen changes in the FTIR peaks at 1730, 1480, and 1140 cm-1.The X-ray analysis results indicate that, there is crystalline cellulose present, with a crystallinity level of 43.87 %, and that the other components are amorphous. In addition, the thermal stability of lignocellulosic fiber up to 230 °C was observed, and the degradation steps of each major component could be identified. The 10 % alkali-treated HF provides tensile strength of 790.9 MPa, with an elongation at break of about 3.41 %. The Scanning Electron Microscope analysis showcased the morphological changes on the fiber fractured surface, diameter variation, and impurities, etc. The Atomic Force Microscopy was used to determine the surface roughness characteristics of the HF, which confirmed the possible reinforcement in the structure of the polymer matrix composite structure.

Laparoscopy-assisted gastrectomy in the elderly: experience from a UK centre.

BACKGROUND Gastric cancer has a high incidence in the elderly in the UK, with a significant number of patients aged 75 years or more. While surgery forms the mainstay of treatment, evidence pertaining to the management of gastric cancer in the Western population in this age group is scarce. METHODS We retrospectively reviewed the outcomes of laparoscopy-assisted total and distal gastrectomies at our centre from 2005 to 2015. Patients aged 70 years or above were included in the elderly group. RESULTS A total of 60 patients underwent laparoscopy-assisted gastrectomy over a 10-year period, with a predominance of male patients. There was no significant difference in the rate of overall surgical and non-surgical complications, in-hospital mortality, operation time and length of hospital stay, between the elderly and non-elderly groups. Univariate analysis, performed for risk factors relating to anastomotic leak and surgical complications, showed that age over 70 years and higher American Association of Anesthesiologists grades are associated with a higher, though not statistically significant, number of anastomotic leaks (P = 1.000 and P = 0.442, respectively) and surgical complications (P = 0.469 and P = 0.162, respectively). The recurrence rate within the first 3 years of surgery was significantly higher in the non-elderly group compared with the elderly group (Log Rank test, P = 0.002). There was no significant difference in survival between the two groups (Log Rank test, P = 0.619). CONCLUSIONS Laparoscopy-assisted gastrectomy is safe and feasible in an elderly population. There is a need for well-designed, prospective, randomised studies with quality of life data to inform our practice in future.