نتایج جستجو برای: tlg
تعداد نتایج: 232 فیلتر نتایج به سال:
Background The identification of surgical non-small cell lung cancer (NSCLC) patients with poor prognosis is a priority in clinical oncology because of their high 5-year mortality. This meta-analysis explored the prognostic value of maximal standardized uptake value (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) on disease-free survival (DFS) and overall survival (OS) ...
UNLABELLED By allowing simultaneous measurements of tumor volume and metabolic activity, integrated PET/CT opens up new approaches for assessing tumor response to therapy. The aim of this study was to determine whether combined assessment of tumor volume and metabolic activity improves the accuracy of (18)F-FDG PET for predicting histopathologic tumor response in patients with soft-tissue sarco...
Introduction: A major challenge in treating primary mediastinal B-cell lymphoma (PMBCL) is the early identification of patients who are likely to fail first-line therapy. To address this issue, present analysis explored potential using PET radiomics, a new technique for extracting quantitative parameters from images, predict treatment outcomes PMBCL patients. Methods: The study examined baselin...
Separation Logic with inductive predicate definitions (SL) and hyperedge replacement grammars (HRG) are established formalisms to describe the abstract shape of data structures maintained by heap-manipulating programs. Fragments of both formalisms are known to coincide, and neither the entailment problem for SL nor its counterpart for HRGs, the inclusion problem, are decidable in general. We in...
Introduction: This study aims to investigate the influence of background activity variation on image quantification in differently reconstructed PET/CT images. Methods: Measurements were performed on a Discovery-690 PET/CT scanner using a custom-built NEMA-like phantom. A background activity level of 5.3 and 2.6 kBq/ml 18F-FDG were applied. Ima...
A well-known slogan in language technology is ‘parsing-as-deduction’: syntax and meaning analysis of a text takes the form of a mathematical proof. Developers of language technology (and students of computational linguistics) want to visualize these mathematical objects in a variety of formats. We discuss a language engineering environment for computational grammars. The kernel is a theorem pro...
Abstract The dependency-based annotation format employed within the Spoken Dutch Corpus (CGN) project (van der Wouden et al., 2002) has been designed in such a way as to enable a transparent mapping to the derivational structures of current ‘lexicalized’ grammar formalisms. Through such translations, the CGN tree bank can be used to train and evaluate computational grammars within these framewo...
OBJECTIVE Mutations in the p53 gene are the most commonly observed genetic abnormalities in malignancies. The purpose of this study was to assess the diagnostic value of serum anti-p53 antibody (Ab) along with the correlation between serum anti-p53 Ab level and quantitative positron emission tomography (PET) parameters such as maximum standardized uptake value (SUVmax), SUVave, metabolic tumor ...
Introduction: The role of positron-emission tomography/computed-tomography (PET/CT) in the management sarcomas and as a prognostic tool has been studied. However, it remains unclear which metric is most useful. We aimed to investigate if volume-based PET metrics (Tumor volume (TV) total lesions glycolysis (TLG)) are superior maximal standardized uptake value (SUVmax) other predicting survival p...
Background We previously proposed measuring tumor size using mediastinal window setting on high-resolution computed tomography (CT) as a simple and useful modality for preoperative prognostication of small adenocarcinoma. Hence, the importance of tumor volume and positron emission tomography (PET) for preoperative prognostication of clinical stage IA (cIA) adenocarcinoma was studied. Material...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید