Literature DB >> 9555626

Using an artificial neural network to define the planning target volume in radiotherapy.

N Kaspari1, B Michaelis, G Gademann.   

Abstract

A neural network for predicting the planning target volume in radiotherapy from the shape of the detected tumor is designed and tested in this research project. The proposed neural network is able to generalize expert medical knowledge and predict the planning target volume from a three-dimensional image of the detected tumor. Initial results for simple shaped brain tumors are presented in this paper.

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Year:  1997        PMID： 9555626     DOI： 10.1023/a:1022824313552

Source DB:  PubMed          Journal:  J Med Syst        ISSN： 0148-5598            Impact factor:   4.460


  10 in total

1.  Quantitation of treatment volumes from CT and MRI in high-grade gliomas: implications for radiotherapy.

Authors:  L C Myrianthopoulos; S Vijayakumar; D R Spelbring; S Krishnasamy; S Blum; G T Chen
Journal:  Magn Reson Imaging       Date:  1992       Impact factor: 2.546

2.  A quantitative assessment of the addition of MRI to CT-based, 3-D treatment planning of brain tumors.

Authors:  R K Ten Haken; A F Thornton; H M Sandler; M L LaVigne; D J Quint; B A Fraass; M L Kessler; D L McShan
Journal:  Radiother Oncol       Date:  1992-10       Impact factor: 6.280

3.  Computer systems and mechanical tools for stereotactically guided conformation therapy with linear accelerators.

Authors:  W Schlegel; O Pastyr; T Bortfeld; G Becker; L Schad; G Gademann; W J Lorenz
Journal:  Int J Radiat Oncol Biol Phys       Date:  1992       Impact factor: 7.038

Review 4.  Three-dimensional treatment planning and conformal radiation dose delivery.

Authors:  A S Lichter; R K Ten Haken
Journal:  Important Adv Oncol       Date:  1995

5.  Consistency of three-dimensional planning target volumes across physicians and institutions.

Authors:  C H Ketting; M Austin-Seymour; I Kalet; J Unger; S Hummel; J Jacky
Journal:  Int J Radiat Oncol Biol Phys       Date:  1997-01-15       Impact factor: 7.038

6.  Evaluation and scoring of radiotherapy treatment plans using an artificial neural network.

Authors:  T R Willoughby; G Starkschall; N A Janjan; I I Rosen
Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-03-01       Impact factor: 7.038

7.  Design of a fully integrated three-dimensional computed tomography simulator and preliminary clinical evaluation.

Authors:  C A Perez; J A Purdy; W Harms; R Gerber; J Matthews; P W Grigsby; M L Graham; B Emami; H K Lee; J M Michalski
Journal:  Int J Radiat Oncol Biol Phys       Date:  1994-11-15       Impact factor: 7.038

8.  Quality assessment of medical decision making in radiation oncology: variability in target volume delineation for brain tumours.

Authors:  G Leunens; J Menten; C Weltens; J Verstraete; E van der Schueren
Journal:  Radiother Oncol       Date:  1993-11       Impact factor: 6.280

9.  Fractionated stereotactically guided radiotherapy of head and neck tumors: a report on clinical use of a new system in 195 cases.

Authors:  G Gademann; W Schlegel; J Debus; L Schad; T Bortfeld; K H Höver; W J Lorenz; M Wannenmacher
Journal:  Radiother Oncol       Date:  1993-11       Impact factor: 6.280

10.  Radiotherapy treatment planning of basal meningiomas: improved tumor localization by correlation of CT and MR imaging data.

Authors:  L R Schad; G Gademann; M Knopp; H J Zabel; W Schlegel; W J Lorenz
Journal:  Radiother Oncol       Date:  1992-09       Impact factor: 6.280
  10 in total
  7 in total

1.  Tutorial on technology transfer and survey design and data collection for measuring Internet and Intranet existence, usage, and impact (survey-2000) in acute care hospitals in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-02       Impact factor: 4.460

2.  Intranet usage and potential in acute care hospitals in the United States: survey-2000.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-12       Impact factor: 4.460

3.  Technology transfer with system analysis, design, decision making, and impact (Survey-2000) in acute care hospitals in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  2001-10       Impact factor: 4.460

Review 4.  Information technology in the future of health care.

Authors:  Myron Hatcher; Irene Heetebry
Journal:  J Med Syst       Date:  2004-12       Impact factor: 4.460

Review 5.  Database application of digital medical X-rays and labs: computerization, storage, retrieval, interpretation, and distribution.

Authors:  Myron Hatcher; Hossein Tabriziani; Irene Heetebry
Journal:  J Med Syst       Date:  2005-08       Impact factor: 4.460

6.  Decision-making with and without information technology in acute care hospitals: survey in the United States.

Authors:  M Hatcher
Journal:  J Med Syst       Date:  1998-12       Impact factor: 4.460

7.  Mini medical record application: annual register for flu shot vaccinations.

Authors:  Myron Hatcher; Irene Heetebry; Hossein Tabriziani
Journal:  J Med Syst       Date:  2005-06       Impact factor: 4.460
  7 in total

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