Literature DB >> 24965275

Patient dose management solution directly integrated in the RIS: "Gray Detector" software.

A Nitrosi1, A Corazza, M Bertolini, R Sghedoni, P Pattacini, M Iori.   

Abstract

On X-ray modalities, the information concerning the dose delivered to the patient is usually available in image headers or in structured reports stored in the picture archiving and communication system (PACS). Sometimes this information is sent in the Modality Performed Procedure Step message. By saving the information inside the Radiological Information System, it can be linked to the patient and to his/her episode/request. A software, "Gray Detector," implementing different and complementary extraction methods was developed. Query/retrieve on images header, Modality Performed Procedure Step message analysis, or the combination of the two methods were used. In order to avoid erroneous dose-protocol association, every accession number is linked to its unique report code, allowing multiple-protocols exam recognition. The adoption of different methods to extract dosimetric information makes it possible to integrate any kind of modality in a vendor/version neutral way. Linking the dosimetric information received from a modality to the patient and to the unique report code solves, for example, common problems in computed tomography exams, where the dosimetric value related to multiple segments/studies on the modality can be associated by the technician who performs the exam only to one accession number corresponding to a single study/segment. Analyses of dosimetric indexes' dependence on modality type, patient age, technician, and radiologist were performed. Linking dosimetric information to radiological information system data allows a contextualization of the former and helps to optimize the image-quality/dose ratio, thereby making it possible to take a clinical decision that is "patient-centered."

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Mesh:

Year:  2014        PMID: 24965275      PMCID: PMC4391074          DOI: 10.1007/s10278-014-9715-y

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  11 in total

1.  Qualifying the use of RIS data for patient dose by comparison with DICOM header data.

Authors:  R Wilde; P Charnock; S McDonald; B M Moores
Journal:  Radiat Prot Dosimetry       Date:  2011-10-06       Impact factor: 0.972

2.  A comprehensive method for calculating patient effective dose and other dosimetric quantities from CT DICOM images.

Authors:  Ioannis A Tsalafoutas; Stella Thalassinou; Efstathios P Efstathopoulos
Journal:  AJR Am J Roentgenol       Date:  2012-07       Impact factor: 3.959

3.  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

4.  The standardized exposure index for digital radiography: an opportunity for optimization of radiation dose to the pediatric population.

Authors:  J Anthony Seibert; Richard L Morin
Journal:  Pediatr Radiol       Date:  2011-04-14

5.  Adult exposures from MDCT including multiphase studies: first Italian nationwide survey.

Authors:  Federica Palorini; Daniela Origgi; Claudio Granata; Domenica Matranga; Sergio Salerno
Journal:  Eur Radiol       Date:  2014-02       Impact factor: 5.315

6.  Retrospective analysis of computed radiography exposure reporting.

Authors:  George David; Amanda E Redden
Journal:  Radiol Technol       Date:  2011 Sep-Oct

7.  Implementation of the ACR dose index registry at a large academic institution: early experience.

Authors:  Tracy J Robinson; Jeffrey D Robinson; Kalpana M Kanal
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

8.  An interactive RADIANCE toolkit for customizable CT dose monitoring and reporting.

Authors:  Tessa S Cook; Anand Sundaram; William W Boonn; Woojin Kim
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

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

10.  Efficiency and effectiveness of an innovative RIS function for patient information reconciliation directly integrated with PACS.

Authors:  Andrea Nitrosi; Marco Bertolini; Pietro Notari; Andrea Botti; Vladimiro Ginocchi; Giulio Tondelli; Mauro Iori; Pierpaolo Pattacini
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

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  4 in total

1.  Estimates of Patient Radiation Doses in Digital Radiography Using DICOM Information at a Large Teaching Hospital in Oman.

Authors:  Ibrahim I Suliman
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

2.  Detection of unwarranted CT radiation exposure from patient and imaging protocol meta-data using regularized regression.

Authors:  Ruidi Chen; Ioannis Ch Paschalidis; Hiroto Hatabu; Vladimir I Valtchinov; Jenifer Siegelman
Journal:  Eur J Radiol Open       Date:  2019-06-05

Review 3.  Application of Radiomics for Personalized Treatment of Cancer Patients.

Authors:  Yiming Meng; Jing Sun; Na Qu; Guirong Zhang; Tao Yu; Haozhe Piao
Journal:  Cancer Manag Res       Date:  2019-12-30       Impact factor: 3.989

4.  Evaluation of the Patient Effective Dose in Whole Spine Scanography Based on the Automatic Image Pasting Method for Digital Radiography.

Authors:  Jung-Su Kim; Sang-Wook Yoon; Deok-Nam Seo; So-Ra Nam; Jung-Min Kim
Journal:  Iran J Radiol       Date:  2016-01-23       Impact factor: 0.212

  4 in total

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