Search results for "Prostate"
showing 10 items of 621 documents
Cancer et environnement : expertise collective
2008
Les cancers représentent en France la première cause de mortalité chez les hommes et la deuxième cause chez les femmes et figurent parmi les pathologies pouvant être liées à l’environnement. À la demande de l’Afsset, l’Inserm a réuni un groupe d’experts afin d’établir un bilan des connaissances sur les liens entre l’exposition à des facteurs physiques, chimiques ou biologiques présents dans l’atmosphère, l’eau, les sols ou l’alimentation et neuf types de cancers en augmentation au cours des vingt-cinq dernières années : les cancers du poumon, les mésothéliomes, les hémopathies malignes, les tumeurs cérébrales, les cancers du sein, de l’ovaire, du testicule, de la prostate etde la thyroïde. …
Evidence for and Against Hypoxia as the Primary Cause of Tumor Aggressiveness
2003
In clinical trials, tumor hypoxia has consistently been associated with tumor aggressiveness. The evidence for an association between hypoxia and metastasis and more rapid tumor progression and death is seen in uterine cervical cancer, and sarcoma of soft tissue. Evidence is building in prostate, vulva, head and neck, and breast cancers. A major question is whether hypoxia precedes tumor aggressiveness or whether aggressive tumors incidentally are also hypoxic.
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study
2020
Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric magnetic resonance imaging (MRI), which provides both morphologic and functional information pertaining to the pathological regions. Along with whole prostate gland segmentation, distinguishing between the central gland (CG) and peripheral zone (PZ) can guide toward differential diagnosis, since the frequency and severity of tumors differ in these regions; however, their boundary is often weak and fuzzy. This work presents a preliminary study on deep learning to automatically delineate the CG and PZ, aiming at evaluating the generalization ability o…
Olive oil intake and cancer risk: A systematic review and meta-analysis
2022
Background Research evidence has established the beneficial effects of diet in cancer prevention; various epidemiological studies have suggested that olive oil component could play a role in decreasing cancer risk. This systematic review and meta-analysis aims to investigate the association between olive oil consumption, cancer risk and prognosis. Methods A systematic search was conducted in PubMed, EMBASE and Google Scholar databases (end-of-search: May 10, 2020). Pooled relative risk (RR) and 95% confidence intervals (95% CIs) were estimated with random-effects (DerSimonian-Laird) models. Subgroup analyses, sensitivity analyses and meta-regression analysis were also performed. Results 45…
To defer or not to defer? A German longitudinal multicentric assessment of clinical practice in urology during the COVID-19 pandemic
2020
PLOS ONE 15(9), e0239027 (2020). doi:10.1371/journal.pone.0239027
The waiting time for prostate cancer treatment in Italy: analysis from the PROS-IT CNR Study.
2022
Background Prostate cancer (PCa) is the second most common neoplasm in male patients. To date, there's no certain indication about the maximum waiting time (WT) acceptable for treatment beginning and the impact on oncological and functional outcomes has not been well established. Methods Data from the National Research Council PCa monitoring multicenter project in Italy (Pros-IT CNR) were prospectively collected and analyzed. WT was defined as the time from the bioptical diagnosis of PCa to the first treatment received. Patients were divided in two groups, using a time frame of 90 days. Quality of life was measured through the Italian version of the University of California Los Angeles-Pros…
Cancer risk among residents of Rhineland-Palatinate winegrowing communities: a cancer-registry based ecological study
2008
Abstract Aim To investigate the cancer risk among residents of Rhineland-Palatinate winegrowing communities in an ecological study. Methods On the basis of the Rhineland-Palatinate cancer-registry, we calculated age-adjusted incidence rate ratios for communities with a medium area under wine cultivation (>5 to 20 percent) and a large area under wine cultivation (>20 percent) in comparison with communities with a small area under wine cultivation (>0 to 5 percent). In a side analysis, standardized cancer incidence ratios (SIR) were computed separately for winegrowing communities with small, medium and large area under wine cultivation using estimated German incidence rates as refere…
Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: a step toward generation of PET/MR attenuation map
2015
This paper presents a new methodology providing the first step towards generating attenuation maps for PET/MR systems based solely on MR information. The new method segments and classifies the attenuation-differing regions of the patient's pelvis based on acquired T 1 - and T 2 -weighted MR data sets and anatomical-based knowledge by computing the tissue specific T 1 and T 2 relaxation times, using a robust implementation of the weighted fuzzy C-means algorithm and applying a novel process to detect bones. We have demonstrated the feasibility of this approach by correctly segmenting and classifying six differing regions of structural and anatomical importance: fat, muscle, prostate, air, ba…
A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation
2012
Abstract: Inter patient shape, size and intensity variations of the prostate in transrectal ultrasound (TRUS) images challenge automatic segmentation of the prostate. In this paper we propose a variational model driven by Mumford-Shah (MS) functional for segmenting the prostate. Parametric representation of the implicit curve is derived from principal component analysis (PCA) of the signed distance representation of the labeled training data to impose shape prior. Posterior probability of the prostate region determined from random forest classification facilitates initialization and propagation of our model in a MS energy minimization framework. The proposed method achieves mean Dice simila…
A classification approach to prostate cancer localization in 3T Multi-Parametric MRI
2016
International audience; Multiparametric-magnetic resonance imaging (mp-MRI) has demonstrated, in many studies, its potential in prostate cancer detection and analysis. We propose a supervised classification approach based on mp-MRI data base of 20 patients, in order to localize prostate cancer and to achieve a cartographic representation of the prostate voxels based on classification results. Proposed method provides a computer aided detection (CAD) software for prostatic cancer. For that, we have extracted varied features providing functional, anatomical and metabolic information helping the classifier to distinguish between three different classes ("Healthy", "Benign" and "Pathologic"). W…