Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (17)
  • Open Access


    Méthodes diagnostiques et stratégie thérapeutique des TNE pulmonaires (tumeurs carcinoïdes typiques et atypiques)*
    Diagnostic Methods and Treatment Strategies for Neuroendocrine Tumours (Typical and Atypical Carcinoid Tumours)

    E. Dansin

    Oncologie, Vol.21, No.2, pp. 83-89, 2019, DOI:10.3166/onco-2019-0047

    Abstract Typical or atypical bronchial carcinoids are rare tumors. The management of localized forms is essentially based on surgery and their prognosis remains good. The treatment of metastatic forms remains difficult with a low level of evidence. New treatments are emerging (everolimus, Lutatherapy), however, their respective place in the therapeutic algorithm should be clarified. Access to expertise and clinical research via the RENATEN-TENpath network should be promoted.

    Les carcinoïdes bronchiques typiques ou atypiques sont des tumeurs rares. La prise en charge des formes localisées repose essentiellement sur la chirurgie, et leur pronostic reste bon. Le traitement des formes métastatiques demeure difficile et… More >

  • Open Access


    Les nouvelles techniques diagnostiques des tumeurs neuroendocrines pancréatiques*
    The New Diagnostic Techniques for Pancreatic Neuroendrocine Tumours

    R. Coriat

    Oncologie, Vol.21, No.2, pp. 75-81, 2019, DOI:10.3166/onco-2019-0046

    Abstract Pancreatic neuroendocrine tumours are the tumours developed at the expense of pancreas and require a specific diagnostic assessment. The imaging assessment of a pancreatic neuroendocrine tumour is useful for diagnosis as well as for surgical/medical treatment. Recently, a number of advances have been made in the field of imaging pancreatic neuroendocrine tumours, in particular in functional imaging using radiolabelled somatostatin analogues. In this review, we approach diagnostic progress by focusing on the advances of recent years. Thus, the interest of conventional imaging (scanner, abdominal ultrasound, and magnetic resonance imaging), ultrasound endoscopy and the place of functional imaging mainly with radiolabelled… More >

  • Open Access


    Les tumeurs neuroendocrines
    Neuroendrocine Tumours

    V. Rohmer

    Oncologie, Vol.21, No.2, pp. 73-73, 2019, DOI:10.3166/onco-2019-0045

    Abstract This article has no abstract. More >

  • Open Access


    Mutations du gène ESR1 : du fondamental à la clinique
    ESR1 Mutations: From Benchside to Bedside

    V. Massard, A. Harlé, L. Uwer, J.-L. Merlin

    Oncologie, Vol.21, No.1, pp. 29-32, 2019, DOI:10.3166/onco-2019-0027

    Abstract Acquired endocrine resistance remains one of the main obstacles in the treatment of estrogen receptor (ER) positive, HER2 negative advanced breast cancer. Recently, activating ESR1 gene mutations affecting the ligand-binding domain have been identified as a key mechanism in aromatase inhibitor (AI) resistance. These mutations can be detected on histological samples or circulating tumour DNA, using PCRbased assays or next-generation sequencing. They induce a constitutive activation of ER, leading to acquired resistance to AI; tamoxifen, fulvestrant and targeted therapies against mTOR or CDK4/6 retain their efficacy. The use of monitoring ESR1 mutations in clinical practice is still to be defined.… More >

  • Open Access


    Discrete Wavelet Transmission and Modified PSO with ACO Based Feed Forward Neural Network Model for Brain Tumour Detection

    Machiraju Jayalakshmi1, *, S. Nagaraja Rao2

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1081-1096, 2020, DOI:10.32604/cmc.2020.011710

    Abstract In recent years, the development in the field of computer-aided diagnosis (CAD) has increased rapidly. Many traditional machine learning algorithms have been proposed for identifying the pathological brain using magnetic resonance images. The existing algorithms have drawbacks with respect to their accuracy, efficiency, and limited learning processes. To address these issues, we propose a pathological brain tumour detection method that utilizes the Weiner filter to improve the image contrast, 2D- discrete wavelet transformation (2D-DWT) to extract the features, probabilistic principal component analysis (PPCA) and linear discriminant analysis (LDA) to normalize and reduce the features, and a feed-forward neural network (FNN)… More >

  • Open Access


    A Coupled Mathematical Model of Cell Migration, Vessel Cooption and Tumour Microenvironment during the Initiation of Micrometastases

    Yan Cai1,2,3, Jie Wu4, Zhiyong Li1,2

    Molecular & Cellular Biomechanics, Vol.12, No.4, pp. 231-248, 2015, DOI:10.3970/mcb.2015.012.231

    Abstract We propose a coupled mathematical model for the detailed quantitative analyses of initial microtumour and micrometastases formation by including cancer cell migration, host vessel cooption and changes in microenvironment. Migrating cells are included as a new phenotype to describe the migration behaviour of malignant tumour cells. Migration probability of a migrating cell is assumed to be influenced by local chemical microenvironment. Pre-existing vessel cooption and remodelling are introduced according to the local haemodynamical microenvironment, such as interstitial pressure and vessel wall permeability. After the tumour cells and tumour vessels distribution are updated, the chemical substances are coupled calculated with the… More >

  • Open Access


    Simulation of 3D Solid Tumour Angiogenesis Including Arteriole, Capillary and Venule

    Jie Wu∗,†, Quan Long, Shixiong Xu*, Anwar R. Padhani§, Yuping Jiang

    Molecular & Cellular Biomechanics, Vol.5, No.4, pp. 217-228, 2008, DOI:10.3970/mcb.2008.005.217

    Abstract In this paper, a 3D mathematical model of tumour angiogenesis is developed, to generate a functional tumour vasculature for blood microcirculation. The model follows that of Anderson and Chaplain (1998) [1] with three exceptions: (a) extending the model from 2D to 3D, one arteriole and one venule is induced as two parent vessels to form an intact circulation network for blood flow; (b) generating networks able to penetrate into the tumour interior rather than the exterior only; (c) considering branching generations with different diameters, based on which three groups of vessels, such as arterioles, venules and capillaries are classified. The… More >

Displaying 11-20 on page 2 of 17. Per Page