Literature DB >> 32516544

Impact of dosimetric differences between CT and MRI derived target volumes for external beam cervical cancer radiotherapy.

Vikneswary Batumalai1,2,3, Siobhan Burke1, Dale Roach2,3, Karen Lim1,3, Glen Dinsdale1, Michael Jameson1,2,3,4, Cesar Ochoa1, Jacqueline Veera5, Lois Holloway1,2,3,4,6, Shalini Vinod1,2,3.   

Abstract

OBJECTIVES: The use of MRI is becoming more prevalent in cervical cancer external beam radiotherapy (RT). The aim of this study was to investigate the impact of dosimetric differences between CT and MRI-derived target volumes for cervical cancer external beam RT.
METHODS: An automated planning technique for volumetric modulated arc therapy was developed. Two automated planning plans were generated for 18 cervical cancer patients where planning target volumes (PTVs) were generated based on CT or MRI data alone. Dose metrics for planning target volumes and organs at risk (OARs) were compared to analyse any differences based on imaging modality.
RESULTS: All treatment plans were clinically acceptable. Bladder doses (V40) were lower in MRI-based plans (p = 0.04, 53.6 ± 17.2 % vs 60.3 ± 13.1 % for MRI vs CT, respectively). The maximum dose for left iliac crest showed lower doses in CT-based plans (p = 0.02, 47.8 ± 0.7 Gy vs 47.4 ± 0.4 Gy MRI vs CT, respectively). No significant differences were seen for other OARs.
CONCLUSIONS: The dosimetric differences of CT- and MRI-based contouring variability for this study was small. CT remains the standard imaging modality for volume delineation for these patients. ADVANCES IN KNOWLEDGE: This is the first study to evaluate the dosimetric implications of imaging modality on target and OAR doses in cervical cancer external beam RT.

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Year:  2020        PMID: 32516544      PMCID: PMC7548354          DOI: 10.1259/bjr.20190564

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  25 in total

1.  Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation.

Authors:  Simon K Warfield; Kelly H Zou; William M Wells
Journal:  IEEE Trans Med Imaging       Date:  2004-07       Impact factor: 10.048

2.  Dedicated MRI simulation for cervical cancer radiation treatment planning: Assessing the impact on clinical target volume delineation.

Authors:  Jacqueline Veera; Karen Lim; Jason A Dowling; Chelsie O'Connor; Lois C Holloway; Shalini K Vinod
Journal:  J Med Imaging Radiat Oncol       Date:  2018-12-03       Impact factor: 1.735

3.  Interobserver variability leads to significant differences in quantifiers of prostate implant adequacy.

Authors:  W Robert Lee; Mack Roach; Jeff Michalski; Brian Moran; David Beyer
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-10-01       Impact factor: 7.038

4.  The dosimetric impact of target volume delineation variation for cervical cancer radiotherapy.

Authors:  Gemma Eminowicz; Vasilis Rompokos; Christopher Stacey; Mary McCormack
Journal:  Radiother Oncol       Date:  2016-05-06       Impact factor: 6.280

5.  How important is dosimetrist experience for intensity modulated radiation therapy? A comparative analysis of a head and neck case.

Authors:  Vikneswary Batumalai; Michael G Jameson; Dion F Forstner; Philip Vial; Lois C Holloway
Journal:  Pract Radiat Oncol       Date:  2012-07-31

6.  Automatic treatment planning facilitates fast generation of high-quality treatment plans for esophageal cancer.

Authors:  Christian Rønn Hansen; Morten Nielsen; Anders Smedegaard Bertelsen; Irene Hazell; Eva Holtved; Ruta Zukauskaite; Jon Kroll Bjerregaard; Carsten Brink; Uffe Bernchou
Journal:  Acta Oncol       Date:  2017-08-25       Impact factor: 4.089

7.  Variability of target and normal structure delineation for breast cancer radiotherapy: an RTOG Multi-Institutional and Multiobserver Study.

Authors:  X Allen Li; An Tai; Douglas W Arthur; Thomas A Buchholz; Shannon Macdonald; Lawrence B Marks; Jean M Moran; Lori J Pierce; Rachel Rabinovitch; Alphonse Taghian; Frank Vicini; Wendy Woodward; Julia R White
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-01       Impact factor: 7.038

8.  Interobserver variability in radiation therapy plan output: Results of a single-institution study.

Authors:  Sean L Berry; Amanda Boczkowski; Rongtao Ma; James Mechalakos; Margie Hunt
Journal:  Pract Radiat Oncol       Date:  2016-05-08

Review 9.  The potential for an enhanced role for MRI in radiation-therapy treatment planning.

Authors:  P Metcalfe; G P Liney; L Holloway; A Walker; M Barton; G P Delaney; S Vinod; W Tome
Journal:  Technol Cancer Res Treat       Date:  2013-04-24

10.  The impact of a radiologist-led workshop on MRI target volume delineation for radiotherapy.

Authors:  Shivani Kumar; Lois Holloway; Dale Roach; Elise Pogson; Jacqueline Veera; Vikneswary Batumalai; Karen Lim; Geoff P Delaney; Elizabeth Lazarus; Nira Borok; Daniel Moses; Michael G Jameson; Shalini Vinod
Journal:  J Med Radiat Sci       Date:  2018-08-03
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