| 4 | Laparoscopic resection of primary retroperitoneal schwannoma:A case report显示文摘BACKGROUND Schwannomas are rare,often benign,tumors deriving from Schwann cells that have low incidence in the retroperitoneal region(0.5%to 5%).Their diagnosis is hardly confirmed at early stage due to lack of specific features in signs,symptoms and imaging tests.Thus,it is necessary performing guided punch biopsy in order to identify it.Tumor removal is the treatment of choice due to its low sensitivity to radiation and chemotherapy.CASE SUMMARY Forty-seven years old female patient who was hospitalized for elective orthopedic procedure,without complications,evolved with severe pain in the lower limbs,thigh and gluteal region associated with neurogenic claudication.Persistent pain required magnetic resonance imaging(MRI)of the lumbar spine,which showed epidural collection with dural compression and massive heterogeneous perihepatic nodular lesion.The surgical team opted for draining the collection,as well as requested an MRI of the abdomen and pelvis,whose analysis showed expansive lesion in the retroperitoneum,in close contact with the inferior vena cava and with the right renal vein.A guided puncture was performed for diagnostic clarification,which showed immunohistochemical profile compatible with schwannoma.The selected treatment comprised retroperitoneum tumor resection in association with laparoscopic cholecystectomy.The patient was discharged and remained stable after 4-mo follow-up;she remains under followup to check the need of cancer investigations.CONCLUSION Schwannoma features requires surgical treatment based on laparoscopic resection,which often presents low relapse rates and optimistic prognosis. | Marcelo AF Ribeiro Jr Yasmin GB Elias Samara de S Augusto Paola R Néder Cássia TK Costa Andressa D Maurício Adriano P Sampaio Alexandre Z Fonseca | 2020 | World Journal of Clinical Cases2020，8，18： | 1 |
| 5 | Monthly and seasonal streamflow forecasting of large dryland catchments in Brazil显示文摘Streamflow forecasting in drylands is challenging.Data are scarce,catchments are highly humanmodified and streamflow exhibits strong nonlinear responses to rainfall.The goal of this study was to evaluate the monthly and seasonal streamflow forecasting in two large catchments in the Jaguaribe River Basin in the Brazilian semi-arid area.We adopted four different lead times:one month ahead for monthly scale and two,three and four months ahead for seasonal scale.The gaps of the historic streamflow series were filled up by using rainfall-runoff modelling.Then,time series model techniques were applied,i.e.,the locally constant,the locally averaged,the k-nearest-neighbours algorithm(k-NN)and the autoregressive(AR)model.The criterion of reliability of the validation results is that the forecast is more skillful than streamflow climatology.Our approach outperformed the streamflow climatology for all monthly streamflows.On average,the former was 25%better than the latter.The seasonal streamflow forecasting(SSF)was also reliable(on average,20%better than the climatology),failing slightly only for the high flow season of one catchment(6%worse than the climatology).Considering an uncertainty envelope(probabilistic forecasting),which was considerably narrower than the data standard deviation,the streamflow forecasting performance increased by about 50%at both scales.The forecast errors were mainly driven by the streamflow intra-seasonality at monthly scale,while they were by the forecast lead time at seasonal scale.The best-fit and worst-fit time series model were the k-NN approach and the AR model,respectively.The rainfall-runoff modelling outputs played an important role in improving streamflow forecasting for one streamgauge that showed 35%of data gaps.The developed data-driven approach is mathematical and computationally very simple,demands few resources to accomplish its operational implementation and is applicable to other dryland watersheds.Our findings may be part of drought forecasting systems and potentially help allocating water months in advance.Moreover,the developed strategy can serve as a baseline for more complex streamflow forecast systems. | Alexandre C COSTA Alvson B S ESTACIO Francisco de A de SOUZA FILHO Iran E LIMA NETO | 2021 | Journal of Arid Land2021，13，3： | 0 |
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