10 research outputs found

    Star-Invertibility and tt-finite character in Integral Domains

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    Let AA be an integral domain. We study new conditions on families of integral ideals of AA in order to get that AA is of tt-finite character (i.e., each nonzero element of AA is contained in finitely many tt-maximal ideals). We also investigate problems connected with the local invertibility of ideals.Comment: 16 page

    Clinical and radiographic mid-term outcomes after total shoulder replacement: a retrospective study protocol including 400 anatomical and reverse prosthetic implants

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    Objectives: To obtain outcomes data on anatomical and reverse total shoulder arthroplasty by analysis of clinical scores and standard radiographs. Subject selection and enrollment: 400 consecutive series of patients replaced with anatomical and reverse total shoulder arthroplasty (minimum 3 years follow-up). Study Design: retrospective monocenter. Preoperative assessment: Demographics, clinical scores (Constant-Murley) as available, shoulder X-ray (AP, outlet and axillary views) . Last follow-up: Postoperative radiographhs and clinical scores. Adverse events and complications to be reported as occurred since implantation. Statistical analysis: Data collected will be summarized and analyzed for statistical significance

    APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research

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    Introduction: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease. This is primarily due to the complexity of lung cancer biology, where a single or few biomarkers are not sufficient to provide enough predictive capability to explain biologic differences; other reasons include the paucity of data collected by single studies performed in heterogeneous unmatched cohorts and the methodology of analysis. In fact, classical statistical methods are unable to analyze and integrate the magnitude of information from multiple biological and clinical sources (eg, genomics, transcriptomics, and radiomics). Methods and objectives: APOLLO11 is an Italian multicentre, observational study involving patients with a diagnosis of advanced lung cancer (NSCLC and SCLC) treated with innovative therapies. Retrospective and prospective collection of multiomic data, such as tissue- (eg, for genomic, transcriptomic analysis) and blood-based biologic material (eg, ctDNA, PBMC), in addition to clinical and radiological data (eg, for radiomic analysis) will be collected. The overall aim of the project is to build a consortium integrating different datasets and a virtual biobank from participating Italian lung cancer centers. To face with the large amount of data provided, AI and ML techniques will be applied will be applied to manage this large dataset in an effort to build an R-Model, integrating retrospective and prospective population-based data. The ultimate goal is to create a tool able to help physicians and patients to make treatment decisions. Conclusion: APOLLO11 aims to propose a breakthrough approach in lung cancer research, replacing the old, monocentric viewpoint towards a multicomprehensive, multiomic, multicenter model. Multicenter cancer datasets incorporating common virtual biobank and new methodologic approaches including artificial intelligence, machine learning up to deep learning is the road to the future in oncology launched by this project

    Invertibility of ideals in Pr\ufcfer extensions

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    Using the general approach to invertibility for ideals in ring extensions given by Knebush and Zhang in [9], we investigate about connections between faithfully atness and invertibility for ideals in rings with zero divisors

    Early clinical and radiological outcomes of reverse shoulder arthroplasty with an eccentric all-polyethylene glenosphere to treat failed hemiarthroplasty and the sequelae of proximal humeral fractures

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    Purpose: The aim of this study was to assess the effectiveness of reverse total shoulder arthroplasty (RTSA) with an all-polyethylene glenosphere in patients with failed hemiarthroplasty (HH) or the sequelae of proximal humeral fractures. Methods: Thirty-six patients were assessed at a mean follow-up of 36 months using clinical scores and recording shoulder range of movement (ROM). Results: Active anterior elevation (p < 0.001), lateral elevation (p < 0.001) and internal rotation (p < 0.0001) improved significantly, whereas improvement in external rotation was not significant. The mean Constant score rose significantly from 8.5 ± 7.6 to 40.7 ± 15.7 (p < 0.001) and the Simple Shoulder Test score from 0.42 ± 0.85 to 5.5 ± 2.6 (p < 0.001). Pain improved significantly from 8.7 ± 0.9 to 2.3 ± 1.2 (p < 0.001). Implant radiographic survivorship was 84.6 %. Scapular notching was detected in 7/36 patients (17.5 %). There were five complications: one (stiffness) among patients with fracture sequelae and four among those with failed HH (instability, n = 2; humeral component disassembly, n = 1; pain, n = 1). The two groups did not exhibit significant differences in pain, clinical scores or ROM. Discussion: RTSA with an all-polyethylene glenosphere may have the potential to reduce the risk of biological notching due to polyethylene osteolysis. Further long-term studies are required to assess its efficacy. Conclusions: The good clinical performance and reasonable rate of notching of the polyethylene glenosphere support its use in primary and revision shoulder arthroplasty. Level of evidence: Level 4, retrospective therapeutic case series
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