Is Surgery Beneficial for MEN1 Patients with Small (≤2 cm), Nonfunctioning Pancreaticoduodenal Endocrine Tumor? An Analysis of 65 Patients from the GTE

Background: The management of small, nonfunctioning pancreaticoduodenal endocrine tumors (NFPET) in multiple endocrine neoplasia type 1 (MEN1) patients is still controversial. We therefore investigated the effect of surgery on survival and tumor progression in MEN1 patients with NFPET ≤2 cm by analyzing data from the Groupe des Tumeurs Endocrines (GTE) registry. Materials and Methods: Among 579 MEN1 patients in the registry, 65 had NFPET ≤ 2 cm. Fifteen (23%) underwent pancreatectomy, 9 at least segmental pancreatectomies and 6 biopsies or enucleations (the surgery group), and 50 (77%) were followed conservatively (the no surgery group). Age at MEN1 and NFPET diagnosis was similar in both groups, as was size of the primary tumor. Seven (10.8%) patients had metastases. Five metastases were synchronous, and 2 (one in each group) were metachronous. Tumor size was similar in patients with or without metastasis. Results: There was no perioperative mortality. The average follow-up time after NFPET diagnosis was 6.7 years in the surgery group and 3.3 years in the no surgery group. Three (4.6%) patients died during follow-up, 2 due to NFPET and 1 due to thymus tumor. The 2 patients who died of NFPET had undergone pancreatic surgery at the time of NFPET diagnosis. The 2 groups did not differ significantly with respect to tumor progression [5/15 (33%) vs 6/38 (16%), P = 0.16]. Overall life expectancy of patients with NFPET ≤2 cm was not different than that of the 229 MEN1 patients in the registry without any pancreaticoduodenal tumor (P = 0.33). Conclusions: This study suggests that surgery may not be beneficial for MEN1 patients with NFPET ≤2 c

Random Convex Hulls and Extreme Value Statistics

In this paper we study the statistical properties of convex hulls of $N$ random points in a plane chosen according to a given distribution. The points may be chosen independently or they may be correlated. After a non-exhaustive survey of the somewhat sporadic literature and diverse methods used in the random convex hull problem, we present a unifying approach, based on the notion of support function of a closed curve and the associated Cauchy's formulae, that allows us to compute exactly the mean perimeter and the mean area enclosed by the convex polygon both in case of independent as well as correlated points. Our method demonstrates a beautiful link between the random convex hull problem and the subject of extreme value statistics. As an example of correlated points, we study here in detail the case when the points represent the vertices of $n$ independent random walks. In the continuum time limit this reduces to $n$ independent planar Brownian trajectories for which we compute exactly, for all $n$, the mean perimeter and the mean area of their global convex hull. Our results have relevant applications in ecology in estimating the home range of a herd of animals. Some of these results were announced recently in a short communication [Phys. Rev. Lett. {\bf 103}, 140602 (2009)].Comment: 61 pages (pedagogical review); invited contribution to the special issue of J. Stat. Phys. celebrating the 50 years of Yeshiba/Rutgers meeting

Armoire à trois enceintes de conditionnement et de stabilisation en température et humidité

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Identification of chemical constituents by multivariate near-infared spectral imaging

25 ref.International audienc

Characterisation of powders by video image analysis

22 ref.International audienc

Characterization of emulsions and suspensions by video image analysis

International audienc

Caractérisation d'émulsions et de suspensions par analyse d'images vidéo

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A reactor for the continuous determination of particle sioze by image analysis during enzymatic degradation of dietary fibre

International audienc

Multispectral fluorescence imaging for the identification of food products

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How Can TRIZ Tools Tremendously Stimulate the Lean Canvas Analysis to Foster Start-Up Business Model and Value Proposition?

Part 2: TRIZ and Other Innovation ApproachesInternational audienceTRIZ is a well-known innovative problem solving method, massively implemented within big industrial groups to boost their efficiency in innovation process. TRIZ is also a creativity technique providing a wide set of methodological formalized concepts applied through numerous tools. Case studies showed how start-ups can benefit from business innovation methodological good practices by enforcing the link between invention, innovation and intellectual property. This paper aims at demonstrating the ability of the formal TRIZ approach to contribute to the feasibility of the next step: helping entrepreneurs and start-ups’ stakeholders in accelerating their «serial innovation» capability while keeping the control of the Lean process. To achieve this ambitious and crucial objective, the team will share its best practices of TRIZ expertise aiming at fostering the Lean canvas in-depth analysis thanks to the powerful TRIZ appropriate tools in order to dramatically reinforce and secure the pioneer spirit