Literature DB >> 17943336

Telematics-based online client-server/client collaborative environment for radiotherapy planning simulations.

Oyeon Kum1.   

Abstract

Customized cancer radiation treatment planning for each patient is very useful for both a patient and a doctor because it provides the ability to deliver higher doses to a more accurately defined tumor and at the same time lower doses to organs at risk and normal tissues. This can be realized by building an accurate planning simulation system to provide better treatment strategies based on each patient's tomographic data such as CT, MRI, PET, or SPECT. In this study, we develop a real-time online client-server/client collaborative environment between the client (health care professionals or hospitals) and the server/client under a secure network using telematics (the integrated use of telecommunications and medical informatics). The implementation is based on a point-to-point communication scheme between client and server/client following the WYSIWIS (what you see is what I see) paradigm. After uploading the patient tomographic data, the client is able to collaborate with the server/client for treatment planning. Consequently, the level of health care services can be improved, specifically for small radiotherapy clinics in rural/remote-country areas that do not possess much experience or equipment such as a treatment planning simulator. The telematics service of the system can also be used to provide continued medical education in radiotherapy. Moreover, the system is easy to use. A client can use the system if s/he is familiar with the Windows(TM) operating system because it is designed and built based on a user-friendly concept. This system does not require the client to continue hardware and software maintenance and updates. These are performed automatically by the server.

Entities:  

Mesh:

Year:  2007        PMID: 17943336     DOI: 10.1007/s11517-007-0262-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  10 in total

1.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions.

Authors:  W Schneider; T Bortfeld; W Schlegel
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  Optimization of radiosurgery treatment planning via mixed integer programming.

Authors:  E K Lee; T Fox; I Crocker
Journal:  Med Phys       Date:  2000-05       Impact factor: 4.071

Review 3.  The rationale and use of three-dimensional radiation treatment planning for lung cancer.

Authors:  L B Marks; G Sibley
Journal:  Chest       Date:  1999-12       Impact factor: 9.410

4.  Comparison of measured and Monte Carlo calculated dose distributions from the NRC linac.

Authors:  D Sheikh-Bagheri; D W Rogers; C K Ross; J P Seuntjens
Journal:  Med Phys       Date:  2000-10       Impact factor: 4.071

5.  DPM, a fast, accurate Monte Carlo code optimized for photon and electron radiotherapy treatment planning dose calculations.

Authors:  J Sempau; S J Wilderman; A F Bielajew
Journal:  Phys Med Biol       Date:  2000-08       Impact factor: 3.609

6.  Secure environment for real-time tele-collaboration on virtual simulation of radiation treatment planning.

Authors:  Efthymios Ntasis; Theofanis A Maniatis; Konstantina S Nikita
Journal:  Technol Health Care       Date:  2003       Impact factor: 1.285

Review 7.  CT simulation for radiotherapy treatment planning.

Authors:  E G A Aird; J Conway
Journal:  Br J Radiol       Date:  2002-12       Impact factor: 3.039

8.  Real-time collaborative environment for radiation treatment planning virtual simulation.

Authors:  Efthymios Ntasis; Theofanis A Maniatis; Konstantina S Nikita
Journal:  IEEE Trans Biomed Eng       Date:  2002-12       Impact factor: 4.538

9.  BEAM: a Monte Carlo code to simulate radiotherapy treatment units.

Authors:  D W Rogers; B A Faddegon; G X Ding; C M Ma; J We; T R Mackie
Journal:  Med Phys       Date:  1995-05       Impact factor: 4.071

Review 10.  Advances in radiation therapy: conventional to 3D, to IMRT, to 4D, and beyond.

Authors:  M Kara Bucci; Alison Bevan; Mack Roach
Journal:  CA Cancer J Clin       Date:  2005 Mar-Apr       Impact factor: 508.702

  10 in total
  1 in total

1.  World Congress on Medical Physics and Biomedical Engineering (WC2006, Seoul).

Authors:  Eung Je Woo; Hee-Joung Kim; Jos A E Spaan
Journal:  Med Biol Eng Comput       Date:  2007-11-15       Impact factor: 2.602

  1 in total

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