A coronariarendszer komputertomográfiás vizsgálata - Országos Plakk Regiszter és Adatbázis (OPeRA)

INTRODUCTION AND AIM: Coronary computer tomography angiography is a unique non-invasive imaging technique with the capability to provide information regarding plaque quantity, burden and structure. A reliable registry is required to use the data of these examinations in research projects. The difficulty is that registries need double data entry simultaneously to the hospital information system. METHOD: Our registry solves this problem through a structured reporting tool, which generates clinical report and stores all data simultaneously. The automatically generated report is based on international guidelines. RESULTS: Between August 1. 2014 and September 1. 2015 we registered the data of 2866 patients. Coronary plaque was observed in 77.03% of the patients, 33.18% of the plaques were calcified. Severe stenosis was present in 13.71% of the patients. CONCLUSIONS: The structured reporting decreases reporting time, eliminates double data entry related errors. Our goal is to initiate a nationwide, unified registry, the National Plaque Registry and Database. Orv. Hetil., 2017, 158(3), 106-110

Cardiac Computed Tomography Radiomics: A Comprehensive Review on Radiomic Techniques

Radiologic images are vast three-dimensional data sets in which each voxel of the underlying volume represents distinct physical measurements of a tissue-dependent characteristic. Advances in technology allow radiologists to image pathologies with unforeseen detail, thereby further increasing the amount of information to be processed. Even though the imaging modalities have advanced greatly, our interpretation of the images has remained essentially unchanged for decades. We have arrived in the era of precision medicine where even slight differences in disease manifestation are seen as potential target points for new intervention strategies. There is a pressing need to improve and expand the interpretation of radiologic images if we wish to keep up with the progress in other diagnostic areas. Radiomics is the process of extracting numerous quantitative features from a given region of interest to create large data sets in which each abnormality is described by hundreds of parameters. From these parameters datamining is used to explore and establish new, meaningful correlations between the variables and the clinical data. Predictive models can be built on the basis of the results, which may broaden our knowledge of diseases and assist clinical decision making. Radiomics is a complex subject that involves the interaction of different disciplines; our objective is to explain commonly used radiomic techniques and review current applications in cardiac computed tomography imaging.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/