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Impact of body composition on survival and morbidity after liver resection in hepatocellular carcinoma patients

Hepatobiliary & Pancreatic Diseases International 2019年第1期18卷 28-37页

作者： Andreas Kroh Diane Uschner Toine Lodewick Roman M Eickhoff Wenzel sch?ning Florian T Ulmer Ulf P Neumann marcel Binneb?sel Department of General Visceral and Transplant Surgery University Hospital RWTH Aachen Institute of Medical Statistics University Hospital RWTH Aachen Department of Surgery Maastricht University Medical Center Department of Radiology Zuyderland Medical Centre Department of Radiology Maastricht University Medical Centre

Background: Hepatocellular carcinoma is the most common innate liver tumor. Due to improved surgical techniques, even extended resections are feasible, and more patients can be treated with curative intent. As the liver is the central metabolic organ, preoperative metabolic assessment is crucial for risk stratification. Sarcopenia, obesity and sarcopenic obesity characterize body composition and metabolic status. Here we present the impact of body composition on survival after liver resection in patients with hepatocellular carcinoma. Methods: A retrospective database analysis of 70 patients who were assigned for liver resection due to hepatocellular carcinoma was conducted. For assessment of sarcopenia and obesity, skeletal muscle surface area was measured at lumbar vertebra 3 level(L3) in preoperative four-phase contrast enhanced abdominal CT scans, and L3 muscle index and body fat percentage were calculated. Results: Univariate analysis comparing the survival curves using the score test demonstrated superior postoperative overall survival for sarcopenic( P = 0.035) and sarcopenic obese( P = 0.048) patients as well as a trend favoring obese( P = 0.130) subjects. Whereas multivariate analysis could not identify significant difference in postoperative survival regarding sarcopenia, obesity or sarcopenic obesity. Only large tumor size, multifocal disease and male gender were risk factors for long-term survival. Conclusions: Sarcopenia, obesity and sarcopenic obesity are indeed no risk factors for poor postoperative survival in this study. Our data do not support the evaluation of sarcopenia, obesity and sarcopenic obesity before liver resection in hepatocellular carcinoma patients.

关键词： Hepatocellular carcinoma Sarcopenia Obesity Sarcopenic obesity Liver resection

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Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images

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Photonics Research 2021年第5期9卷 I0001-I0014页

作者： ZAFRAN HUSSAIN SHAH marcel MÜLLER TUNG-CHENG WANG PHILIP MAURICE schEIDIG AXEL schNEIDER MARK schÜTTPELZ THOMAS HUSER WOLFRAM schENCK Faculty of Engineering and Mathematics Bielefeld University of Applied Sciences33619 BielefeldGermany Faculty of Physics Bielefeld University33615 BielefeldGermany

Super-resolution structured illumination microscopy(SR-SIM) provides an up to twofold enhanced spatial resolution of fluorescently labeled samples. The reconstruction of high-quality SR-SIM images critically depends on patterned illumination with high modulation contrast. Noisy raw image data(e.g., as a result of low excitation power or low exposure time), result in reconstruction artifacts. Here, we demonstrate deep-learning based SR-SIM image denoising that results in high-quality reconstructed images. A residual encoding–decoding convolutional neural network(RED-Net) was used to successfully denoise computationally reconstructed noisy SR-SIM *** also demonstrate the end-to-end deep-learning based denoising and reconstruction of raw SIM images into high-resolution SR-SIM images. Both image reconstruction methods prove to be very robust against image reconstruction artifacts and generalize very well across various noise levels. The combination of computational image reconstruction and subsequent denoising via RED-Net shows very robust performance during inference after training even if the microscope settings change.

关键词： Deep illumination image

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一座传授木材技术的木建筑

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世界建筑 2018年第7期 116-119页

作者： marcel Meili Markus Peter Zeno Vogel Thomas Kühne Marc Loeliger Andreas schmidt Thomas schnabel Urs schnenberger Othmar Villiger Meili Peter Architekten

在瑞士的汝拉山脚下,有一座人口约5万的小城市——比尔（Biel/Bienne）,自19世纪起就一直拥有繁荣的工业和手表制造业。与这座城市的工业氛围相得益彰的,是充满实用精神的应用科学教育。所属于伯尔尼应用科学大学（Bern University of A... 详细信息

在瑞士的汝拉山脚下,有一座人口约5万的小城市——比尔（Biel/Bienne）,自19世纪起就一直拥有繁荣的工业和手表制造业。与这座城市的工业氛围相得益彰的,是充满实用精神的应用科学教育。所属于伯尔尼应用科学大学（Bern University of Applied Sciences）的比尔高等木材技术学校（Higher Technical school of Wood Biel,HTS）即坐落于这里。

关键词：技术学校木材木建筑应用科学科学教育小城市制造业工业

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