Literature DB >> 24402724

[Current reporting in radiology : what will happen tomorrow?].

T Baumann1, T Hackländer, E Kotter.   

Abstract

CLINICAL/METHODICAL ISSUE: Reporting in radiology faces considerable changes in the near future that will be influenced by a broader understanding of the task and increasing technological possibilities. STANDARD RADIOLOGICAL
METHODS: Until now a radiological report could be regarded as a text phrased by a radiologist after viewing imaging data. METHODICAL INNOVATIONS: New solutions will be accessed by advances in visualization of large datasets, in extracting, analyzing, and communicating metadata as well as by improved integration and interpretation of clinical information. PERFORMANCE: Virtual reality, texture analysis, growing networks, semantic annotation, data mining and context based presentation have the potential to extensively change the everyday working routine. ACHIEVEMENTS: Although many of these developments are still in a laboratory phase, the impact on the process of reporting can already be predicted. PRACTICAL RECOMMENDATIONS: As the leading community in information analysis and technology, radiology as a subject should strive to lead and shape these impending changes.

Mesh:

Year:  2014        PMID: 24402724     DOI: 10.1007/s00117-013-2540-3

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  26 in total

1.  Interfacing the radiology information system to the modality: an integrated approach.

Authors:  H T Garland; B J Cavanaugh; R Cecil; B L Hayes; S Lavoie; A Leontiev; J Veprauskas
Journal:  J Digit Imaging       Date:  1999-05       Impact factor: 4.056

2.  Effects of immersion on visual analysis of volume data.

Authors:  Bireswar Laha; Kriti Sensharma; James D Schiffbauer; Doug A Bowman
Journal:  IEEE Trans Vis Comput Graph       Date:  2012-04       Impact factor: 4.579

3.  Mapping LIDC, RadLex™, and lung nodule image features.

Authors:  Pia Opulencia; David S Channin; Daniela S Raicu; Jacob D Furst
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

Review 4.  Radiology reporting, past, present, and future: the radiologist's perspective.

Authors:  Bruce I Reiner; Nancy Knight; Eliot L Siegel
Journal:  J Am Coll Radiol       Date:  2007-05       Impact factor: 5.532

5.  FMA-RadLex: An application ontology of radiological anatomy derived from the foundational model of anatomy reference ontology.

Authors:  Jose L V Mejino; Daniel L Rubin; James F Brinkley
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

6.  Five levels of PACS modularity: integrating 3D and other advanced visualization tools.

Authors:  Kenneth C Wang; Ross W Filice; James F Philbin; Eliot L Siegel; Paul G Nagy
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

Review 7.  [Internet resources for radiologists : a positive selection].

Authors:  F Miese; C Rubbert; C Buchbender; C Miese; M Quentin; R Lanzman; G Antoch; A Scherer
Journal:  Radiologe       Date:  2013-01       Impact factor: 0.635

8.  Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface.

Authors:  Shanhui Sun; Milan Sonka; Reinhard R Beichel
Journal:  Comput Med Imaging Graph       Date:  2013-02-12       Impact factor: 4.790

9.  Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response?

Authors:  L Alic; M van Vliet; C F van Dijke; A M M Eggermont; J F Veenland; W J Niessen
Journal:  Phys Med Biol       Date:  2011-02-18       Impact factor: 3.609

10.  Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival.

Authors:  Francesca Ng; Balaji Ganeshan; Robert Kozarski; Kenneth A Miles; Vicky Goh
Journal:  Radiology       Date:  2012-11-14       Impact factor: 11.105

View more
  1 in total

1.  [Incidental findings : Evaluation, management recommendations and legal considerations].

Authors:  P Mildenberger
Journal:  Radiologe       Date:  2017-04       Impact factor: 0.635

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.