Gigantski liposarkom mezenterija miješanog tipa

Primary mesenteric liposarcomas are very rare, especially when they are of mixed histologic pattern. Patient prognosis is based upon the most aggressive histologic type of liposarcoma. A case is reported of a 77-year-old man with a history of slowly increasing abdominal volume over 3 years. The diagnosis of giant intra-abdominal mass suspect of liposarcoma was confirmed by computed tomography and ultrasound scans. The patient underwent resection of 24 tumor masses weighing together 23.5 kg. The microscopic diagnosis was mixed-type liposarcoma of the mesentery. Although this type of tumor is rare, tumor tissue should be thoroughly collected and analyzed on histologic examination to reach definitive diagnosis. Recognition of the underappreciated subtype of liposarcoma is important for proper prognosis and treatment of the patient. According to our knowledge, this is the largest size of mixed-type mesenteric liposarcoma described in the English literature.Primarni liposarkomi mezenterija su rijetki, osobito ako su miješanog histološkog izgleda. Prognoza pacijenta ovisi o najagresivnijem histološkom tipu liposarkoma. Prikazujemo slučaj 77. godišnjeg muškarca s anamnezom spororastućeg volumena abdomena tijekom 3 godine. Dijagnoza ogromne intra-abdominalne mase suspektne na liposarkom potvrđena je CT-om i ultrazvukom. Pacijentu su resecirane 24 tumorske mase koje su zajedno težile 23.5 kg. Histološka dijagnoza je bila miješani tip liposarkoma mezenterija. Iako je ovaj tip tumora rijedak, tumorsko tkivo treba pomno preuzeti i pregledati histološki kako bi se postavila ispravna zaključna dijagnoza. Pronalazak nepovoljnog tipa liposarkoma je važan zbog točne prognoze i daljnjeg liječenja pacijenta. Prema našim saznanjima, ovo je najveći opisani liposarkom mezenterija miješanog tipa u engleskoj literaturi

Gigantski liposarkom mezenterija miješanog tipa

Primary mesenteric liposarcomas are very rare, especially when they are of mixed histologic pattern. Patient prognosis is based upon the most aggressive histologic type of liposarcoma. A case is reported of a 77-year-old man with a history of slowly increasing abdominal volume over 3 years. The diagnosis of giant intra-abdominal mass suspect of liposarcoma was confirmed by computed tomography and ultrasound scans. The patient underwent resection of 24 tumor masses weighing together 23.5 kg. The microscopic diagnosis was mixed-type liposarcoma of the mesentery. Although this type of tumor is rare, tumor tissue should be thoroughly collected and analyzed on histologic examination to reach definitive diagnosis. Recognition of the underappreciated subtype of liposarcoma is important for proper prognosis and treatment of the patient. According to our knowledge, this is the largest size of mixed-type mesenteric liposarcoma described in the English literature.Primarni liposarkomi mezenterija su rijetki, osobito ako su miješanog histološkog izgleda. Prognoza pacijenta ovisi o najagresivnijem histološkom tipu liposarkoma. Prikazujemo slučaj 77. godišnjeg muškarca s anamnezom spororastućeg volumena abdomena tijekom 3 godine. Dijagnoza ogromne intra-abdominalne mase suspektne na liposarkom potvrđena je CT-om i ultrazvukom. Pacijentu su resecirane 24 tumorske mase koje su zajedno težile 23.5 kg. Histološka dijagnoza je bila miješani tip liposarkoma mezenterija. Iako je ovaj tip tumora rijedak, tumorsko tkivo treba pomno preuzeti i pregledati histološki kako bi se postavila ispravna zaključna dijagnoza. Pronalazak nepovoljnog tipa liposarkoma je važan zbog točne prognoze i daljnjeg liječenja pacijenta. Prema našim saznanjima, ovo je najveći opisani liposarkom mezenterija miješanog tipa u engleskoj literaturi

Predictive biometrics: A review and analysis of predicting personal characteristics from biometric data

Interest in the exploitation of soft biometrics information has continued to develop over the last decade or so. In comparison with traditional biometrics, which focuses principally on person identification, the idea of soft biometrics processing is to study the utilisation of more general information regarding a system user, which is not necessarily unique. There are increasing indications that this type of data will have great value in providing complementary information for user authentication. However, the authors have also seen a growing interest in broadening the predictive capabilities of biometric data, encompassing both easily definable characteristics such as subject age and, most recently, `higher level' characteristics such as emotional or mental states. This study will present a selective review of the predictive capabilities, in the widest sense, of biometric data processing, providing an analysis of the key issues still adequately to be addressed if this concept of predictive biometrics is to be fully exploited in the future