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| 1 | Faecal calprotectin and magnetic resonance imaging in detecting Crohn's disease endoscopic postoperative recurrence显示文摘AIM To assess magnetic resonance imaging(MRI) and faecal calprotectin to detect endoscopic postoperative recurrence in patients with Crohn's disease(CD).METHODS From two tertiary centers, all patients with CD who underwent ileocolonic resection were consecutively and prospectively included. All the patients underwent MRI and endoscopy within the first year after surgery or after the restoration of intestinal continuity [median = 6 mo(5.0-9.3)]. The stools were collected the day before the colonoscopy to evaluate faecal calprotectin level. Endoscopic postoperative recurrence(POR) was defined as Rutgeerts' index ≥ i2b. The MRI was analyzed independently by two radiologists blinded from clinical data.RESULTS Apparent diffusion coefficient(ADC) was lower in patients with endoscopic POR compared to those with no recurrence(2.03 ± 0.32 vs 2.27 ± 0.38 × 10^(-3) mm^2/s, P = 0.032). Clermont score(10.4 ± 5.8 vs 7.4 ± 4.5, P = 0.038) and relative contrast enhancement(RCE)(129.4% ± 62.8% vs 76.4% ± 32.6%, P = 0.007) were significantly associated with endoscopic POR contrary to the magnetic resonance index of activity(Ma RIA)(7.3 ± 4.5 vs 4.8 ± 3.7; P = 0.15) and MR scoring system(P = 0.056). ADC < 2.35 × 10^(-3) mm^2/s [sensitivity = 0.85, specificity = 0.65, positive predictive value(PPV) = 0.85, negative predictive value(NPV) = 0.65] and RCE > 100%(sensitivity = 0.75, specificity = 0.81, PPV = 0.75, NPV = 0.81) were the best cutoff values to identify endoscopic POR. Clermont score > 6.4(sensitivity = 0.61, specificity = 0.82, PPV = 0.73, NPV = 0.74), Ma RIA > 3.76(sensitivity = 0.61, specificity = 0.82, PPV = 0.73, NPV = 0.74) and a MR scoring system ≥ MR1(sensitivity = 0.54, specificity = 0.82, PPV = 0.70, and NPV = 0.70) demonstrated interesting performances to detect endoscopic POR. Faecal calprotectin values were significantly higher in patients with endoscopic POR(114 ± 54.5 μg/g vs 354.8 ± 432.5 μg/g; P = 0.0075). Faecal calprotectin > 100 μg/g demonstrated high performances to detect endoscopic POR(sensitivity = 0.67, specificity = 0.93, PPV = 0.89 and NPV = 0.77).CONCLUSION Faecal calprotectin and MRI are two reliable tools to detect endoscopic POR in patients with CD. | Pierre Baillet Guillaume Cadiot Marion Goutte Felix Goutorbe Hedia Brixi Christine Hoeffel Christophe Allimant Maud Reymond Hélène Obritin-Guilhen Benoit Magnin Gilles Bommelaer Bruno Pereira Constance Hordonneau Anthony Buisson | 2018 | World Journal of Gastroenterology2018，24，5： | 1 |
| 2 | A Transcriptional progression model for head and neck cancer显示文摘 | Benoit NE Yochem R | 2003 | Clin Cancer Res2003，9，： | 1 |
| 3 | Epigenetic inactivation of RASSF1A in head and neck cancer显示文摘 | Dong SM Sun DI Benoit NE | 2003 | Clin Cancer Res2003，9，101： | 1 |
| 4 | Epigenetic inactivation of RASSF1A in head and neck cancer 显示文摘 | Dong SM Sun DI Benoit NE | 2003 | Clin Cancer Res2003，9，101： | 1 |
| 5 | Pharmacologic correlation between calcium distribution显示文摘 | Benoit PW Yagiela A Fort NE | | 0，，02： | 1 |
| 6 | Epigenetic inactivation of RASSF1A in head and neck cancer显示文摘 | Dong SM Sun DI Benoit NE | | 0，，10： | 1 |
| 7 | Formation building and collision avoidance for a fleet of NAOs based on optical sensor with local positions and minimum communication显示文摘Multi-robot system has become a research hotspot because of low demand on the sensors' accuracy, high reliability, and high efficiency. To put all the robots together, formation control is a crucial problem. In this paper, we propose a local position-based method to plan trajectories and build a pyramid pattern for a fleet of NAOs in the obstacle-free environment by refering to the position-based method and giving an O(n log n) collision avoidance strategy inspired from one graph theory, where the local positions are estimated from optical sensors. To get the local positions, an integrated image processing method is developped. Firstly a mask-base is generated to store the features of NAOs, and a cross-correlation method is introduced to recognize the NAO. Subsequently, the distance and angle models are proposed to get the local information from a single image. Then, a visual compass is introduced to obtain the orientation of one NAO. After the local information exchange by the WiFi communication, a neighbor-check method is put foward to distinguish the homogeneous NAOs(all the NAOs look like the same). Further, a common frame is constructed as an artificial global frame, and straight non-intercrossing trajectories are planned according to the O(n log n) collision avoidance strategy. At last, the performance of our proposed local position-based method is verified by the simulations with up to 15 robots and the indoor experiments with 3 NAOs in a real environment. The convergence of the method has been demonstrated in both obstacle-free and static obstacle environments. | Xiaomin WANG Lorenzo BENOZZI Benoit ZERR Zexiao XIE Hélène THOMAS Benoit CLEMENT | 2019 | Science China(Information Sciences)2019，62，5： | 0 |
| 8 | Spatio-Temporal evolutive Data Infrastructure: a Spatial Data Infrastructure for managing data flows of Territorial Statistical Information显示文摘The observation of demographical,economical or environmental indicators over time through maps is crucial.It enables analysing territories and helps stakeholders to take decisions.However,the understanding of Territorial Statistical Information(TSI)is compromised unless comprehensive description of both the statistical methodology used and the spatial and temporal references are given.Thus,in this paper,we stress the importance of metadata descriptions and of their quality that helps assessing data reliability.Furthermore,time-series of such TSI are paramount.They enable analysing a territory over a long period of time and likewise judging the effectiveness of reforms.In light of these observations,we present Spatio-Temporal evolutive Data Infrastructure(STeDI)an innovative Spatial Data Infrastructure(SDI)that enriches the description of a Digital Earth,providing a virtual representation of territories and of their evolution through statistics and time.STeDI aims at managing a whole dataflow of multi-dimensional,multi-scale and multi-temporal TSI,from their acquisition to their dissemination to scientists and policy-makers.The content of this SDI evolves autonomously thanks to automated processes and to a Web platform that help improving the quality of datasets uploaded by experts.Then,STeDI allows visualizing up-to-date time-series reflecting the human activities on a given territory.It helps policy-makers in their decision-making process. | Camille Bernard Marlène Villanova-Oliver Jérôme Gensel Benoit Le Rubrus | 2017 | International Journal of Digital Earth2017，10，3： | 0 |
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