Literature DB >> 26296803

[Dose management in radiology: Review of the technological status].

M Verius1.   

Abstract

BACKGROUND: The Euratom directive 2013/59 ("EU directive for radiation protection") has to be implemented into national law by spring 2018 and requires a complete recording of patient dosages and relevant parameters. Additionally, a medical physics expert has to be consulted for each radiological examination above a defined threshold.
OBJECTIVES: A complete recording of the dosage administered from all modalities and optimization of the radiological procedures should result in a reduction of the total dosage.
MATERIAL AND METHODS: This can be achieved by automated systems that incorporate not only the detection of the dose parameters but also the evaluation and analysis of these data. When provided with warning levels such a system should be able to inform or warn the operator when dose thresholds have been exceeded or even better inform the operator about possible excess dosages before an examination. Depending on the information provided by the modality, dose management systems can operate at different levels in the picture archiving and communication system (PACS), radiological and hospital information systems (RIS/HIS) or with the header information of a digital imaging and communications in medicine (DICOM) image and evaluate and analyze this data.
CONCLUSION: A practicable use of such systems is only possible by close cooperation of medical personnel, medical physicists and information technology (IT) administrators. Various systems are available commercially or free but an individual adaptation of these systems is useful and necessary, depending on the requirements of the radiology practice or hospital.

Entities:  

Mesh:

Year:  2015        PMID: 26296803     DOI: 10.1007/s00117-015-2817-9

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


  9 in total

1.  CTDIvol, DLP, and effective dose are excellent measures for use in CT quality improvement.

Authors:  Rebecca Smith-Bindman; Diana L Miglioretti
Journal:  Radiology       Date:  2011-12       Impact factor: 11.105

2.  Automated framework for digital radiation dose index reporting from CT dose reports.

Authors:  George Shih; Zheng Feng Lu; Ramin Zabih; Devin Kennedy; Michael Loftus; Wei-Jen Shih; Joseph Osborne; Edward Nickoloff; Lawrence Schwartz
Journal:  AJR Am J Roentgenol       Date:  2011-11       Impact factor: 3.959

3.  RADIANCE: An automated, enterprise-wide solution for archiving and reporting CT radiation dose estimates.

Authors:  Tessa S Cook; Stefan L Zimmerman; Scott R Steingall; Andrew D A Maidment; Woojin Kim; William W Boonn
Journal:  Radiographics       Date:  2011-10-03       Impact factor: 5.333

4.  An automated DICOM database capable of arbitrary data mining (including radiation dose indicators) for quality monitoring.

Authors:  Shanshan Wang; William Pavlicek; Catherine C Roberts; Steve G Langer; Muhong Zhang; Mengqi Hu; Richard L Morin; Beth A Schueler; Clinton V Wellnitz; Teresa Wu
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

5.  Estimating effective dose for CT using dose-length product compared with using organ doses: consequences of adopting International Commission on Radiological Protection publication 103 or dual-energy scanning.

Authors:  Jodie A Christner; James M Kofler; Cynthia H McCollough
Journal:  AJR Am J Roentgenol       Date:  2010-04       Impact factor: 3.959

6.  Automatic management system for dose parameters in interventional radiology and cardiology.

Authors:  J I Ten; J M Fernandez; E Vaño
Journal:  Radiat Prot Dosimetry       Date:  2011-08-09       Impact factor: 0.972

7.  Extraction of CT dose information from DICOM metadata: automated Matlab-based approach.

Authors:  Jaydev K Dave; Eric L Gingold
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

Review 8.  Experience with patient dosimetry and quality control online for diagnostic and interventional radiology using DICOM services.

Authors:  Eliseo Vano; Jose I Ten; Jose M Fernandez-Soto; Roberto M Sanchez-Casanueva
Journal:  AJR Am J Roentgenol       Date:  2013-04       Impact factor: 3.959

9.  [Registration and monitoring of radiation exposure from radiological imaging].

Authors:  F Jungmann; D Pinto dos Santos; J Hempel; C Düber; P Mildenberger
Journal:  Radiologe       Date:  2013-06       Impact factor: 0.635

  9 in total

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