Literature DB >> 1332134

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

R K Ten Haken1, A F Thornton, H M Sandler, M L LaVigne, D J Quint, B A Fraass, M L Kessler, D L McShan.   

Abstract

Quantitative 3-D volumetric comparisons were made of composite CT-MRI macroscopic and microscopic tumor and target volumes to their independently defined constituents. Volumetric comparisons were also made between volumes derived from coronal and axial MRI data sets, and between CT and MRI volumes redefined at a repeat session in comparison to their original definitions. The degree of 3-D dose coverage obtained from use of CT data only or MRI data only in terms of coverage of composite CT-MRI volumes was also analyzed. On average, MRI defined larger volumes as well as a greater share of composite CT-MRI volumes. On average, increases in block margin on the order of 0.5 cm would have ensured coverage of volumes derived from use of both imaging modalities had only MRI data been used. However, the degree of inter-observer variation in volume definition is on the order of the magnitude of differences in volume definition seen between the modalities, and the question of which imaging modality best describes tumor volumes remains unanswered until detailed histologic studies are performed. Given that tumor volumes independently apparent on CT and MRI have equal validity, composite CT-MRI input should be considered for planning to ensure precise dose coverage for conformal treatments.

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Year:  1992        PMID: 1332134     DOI: 10.1016/0167-8140(92)90018-p

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  15 in total

1.  [Inverse radiotherapy planning].

Authors:  W Schlegel; P Kneschaurek
Journal:  Strahlenther Onkol       Date:  1999-05       Impact factor: 3.621

2.  [Possibilities of an open magnetic resonance scanner integration in therapy simulation and three-dimensional radiotherapy planning].

Authors:  K Schubert; F Wenz; R Krempien; O Schramm; G Sroka-Perez; P Schraube; M Wannenmacher
Journal:  Strahlenther Onkol       Date:  1999-05       Impact factor: 3.621

3.  Patterns of recurrence analysis in newly diagnosed glioblastoma multiforme after three-dimensional conformal radiation therapy with respect to pre-radiation therapy magnetic resonance spectroscopic findings.

Authors:  Ilwoo Park; Gregory Tamai; Michael C Lee; Cynthia F Chuang; Susan M Chang; Mitchel S Berger; Sarah J Nelson; Andrea Pirzkall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-05-21       Impact factor: 7.038

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

Authors:  N Kaspari; B Michaelis; G Gademann
Journal:  J Med Syst       Date:  1997-12       Impact factor: 4.460

5.  Effect of age-dependent bone electron density on the calculated dose distribution from kilovoltage and megavoltage photon and electron radiotherapy in paediatric MRI-only treatment planning.

Authors:  B Zeinali-Rafsanjani; R Faghihi; M A Mosleh-Shirazi; M Saeedi-Moghadam; R Jalli; S Sina
Journal:  Br J Radiol       Date:  2017-11-09       Impact factor: 3.039

6.  Error in the parotid contour delineated using computed tomography images rather than magnetic resonance images during radiotherapy planning for nasopharyngeal carcinoma.

Authors:  Chengxin Liu; Xudong Kong; Guanzhong Gong; Tonghai Liu; Baosheng Li; Yong Yin
Journal:  Jpn J Radiol       Date:  2014-02-21       Impact factor: 2.374

7.  Salivary gland sparing and improved target irradiation by conformal and intensity modulated irradiation of head and neck cancer.

Authors:  Avraham Eisbruch; Jonathan A Ship; Laura A Dawson; Hyungjin M Kim; Carol R Bradford; Jeffrey E Terrell; Douglas B Chepeha; Theodore N Teknos; Norman D Hogikyan; Yoshimi Anzai; Lon H Marsh; Randall K Ten Haken; Gregory T Wolf
Journal:  World J Surg       Date:  2003-07       Impact factor: 3.352

Review 8.  Malignant gliomas: current perspectives in diagnosis, treatment, and early response assessment using advanced quantitative imaging methods.

Authors:  Rafay Ahmed; Matthew J Oborski; Misun Hwang; Frank S Lieberman; James M Mountz
Journal:  Cancer Manag Res       Date:  2014-03-24       Impact factor: 3.989

Review 9.  Tumour volume measurement in head and neck cancer.

Authors:  Vincent F H Chong
Journal:  Cancer Imaging       Date:  2007-10-01       Impact factor: 3.909

10.  Comparison of T2 and FLAIR imaging for target delineation in high grade gliomas.

Authors:  Bronwyn Stall; Leor Zach; Holly Ning; John Ondos; Barbara Arora; Uma Shankavaram; Robert W Miller; Deborah Citrin; Kevin Camphausen
Journal:  Radiat Oncol       Date:  2010-01-28       Impact factor: 3.481

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