Literature DB >> 25200428

A systematic approach for using DICOM structured reports in clinical processes: focus on breast cancer.

Rosana Medina García1, Erik Torres Serrano, J Damian Segrelles Quilis, Ignacio Blanquer Espert, Luis Martí Bonmatí, Daniel Almenar Cubells.   

Abstract

This paper describes a methodology for redesigning the clinical processes to manage diagnosis, follow-up, and response to treatment episodes of breast cancer. This methodology includes three fundamental elements: (1) identification of similar and contrasting cases that may be of clinical relevance based upon a target study, (2) codification of reports with standard medical terminologies, and (3) linking and indexing the structured reports obtained with different techniques in a common system. The combination of these elements should lead to improvements in the clinical management of breast cancer patients. The motivation for this work is the adaptation of the clinical processes for breast cancer created by the Valencian Community health authorities to the new techniques available for data processing. To achieve this adaptation, it was necessary to design nine Digital Imaging and Communications in Medicine (DICOM) structured report templates: six diagnosis templates and three summary templates that combine reports from clinical episodes. A prototype system is also described that links the lesion to the reports. Preliminary tests of the prototype have shown that the interoperability among the report templates allows correlating parameters from different reports. Further work is in progress to improve the methodology in order that it can be applied to clinical practice.

Entities:  

Mesh:

Year:  2015        PMID: 25200428      PMCID: PMC4359202          DOI: 10.1007/s10278-014-9728-6

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


  27 in total

1.  TNM: our language of cancer.

Authors:  Frederick L Greene
Journal:  CA Cancer J Clin       Date:  2004 May-Jun       Impact factor: 508.702

Review 2.  DICOM structured reporting: Part 1. Overview and characteristics.

Authors:  Rada Hussein; Uwe Engelmann; Andre Schroeter; Hans-Peter Meinzer
Journal:  Radiographics       Date:  2004 May-Jun       Impact factor: 5.333

3.  HL7 Clinical Document Architecture, Release 2.

Authors:  Robert H Dolin; Liora Alschuler; Sandy Boyer; Calvin Beebe; Fred M Behlen; Paul V Biron; Amnon Shabo Shvo
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

4.  Reader variability in reporting breast imaging according to BI-RADS assessment categories (the Florence experience).

Authors:  S Ciatto; N Houssami; A Apruzzese; E Bassetti; B Brancato; F Carozzi; S Catarzi; M P Lamberini; G Marcelli; R Pellizzoni; B Pesce; G Risso; F Russo; A Scorsolini
Journal:  Breast       Date:  2005-08-01       Impact factor: 4.380

5.  RadLex: a new method for indexing online educational materials.

Authors:  Curtis P Langlotz
Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

6.  caGrid 1.0: an enterprise Grid infrastructure for biomedical research.

Authors:  Scott Oster; Stephen Langella; Shannon Hastings; David Ervin; Ravi Madduri; Joshua Phillips; Tahsin Kurc; Frank Siebenlist; Peter Covitz; Krishnakant Shanbhag; Ian Foster; Joel Saltz
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

7.  Structuring of free-text diagnostic report.

Authors:  Hirofumi Fujii; Hiromasa Yamagishi; Yutaka Ando; Nobuhiro Tsukamoto; Osamu Kawaguchi; Tomotaka Kasamatsu; Kaoru Kurosaki; Masakazu Osada; Hiroshi Kaneko; Atsushi Kubo
Journal:  Stud Health Technol Inform       Date:  2007

8.  Creating and curating a terminology for radiology: ontology modeling and analysis.

Authors:  Daniel L Rubin
Journal:  J Digit Imaging       Date:  2007-09-15       Impact factor: 4.056

Review 9.  Grand challenges in clinical decision support.

Authors:  Dean F Sittig; Adam Wright; Jerome A Osheroff; Blackford Middleton; Jonathan M Teich; Joan S Ash; Emily Campbell; David W Bates
Journal:  J Biomed Inform       Date:  2007-09-21       Impact factor: 6.317

10.  An i2b2-based, generalizable, open source, self-scaling chronic disease registry.

Authors:  Marc D Natter; Justin Quan; David M Ortiz; Athos Bousvaros; Norman T Ilowite; Christi J Inman; Keith Marsolo; Andrew J McMurry; Christy I Sandborg; Laura E Schanberg; Carol A Wallace; Robert W Warren; Griffin M Weber; Kenneth D Mandl
Journal:  J Am Med Inform Assoc       Date:  2012-06-25       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.