Literature DB >> 28375667

Addition of MRI for CT-based pancreatic tumor delineation: a feasibility study.

Oliver J Gurney-Champion1,2, Eva Versteijne1, Astrid van der Horst1, Eelco Lens1, Heidi Rütten3, Hanne D Heerkens4, Gabriel M R M Paardekooper5, Maaike Berbee6, Coen R N Rasch1, Jaap Stoker2, Marc R W Engelbrecht2, Marcel van Herk7, Aart J Nederveen2, Remy Klaassen8, Hanneke W M van Laarhoven8, Geertjan van Tienhoven1, Arjan Bel1.   

Abstract

PURPOSE: To assess the effect of additional magnetic resonance imaging (MRI) alongside the planning computed tomography (CT) scan on target volume delineation in pancreatic cancer patients.
MATERIAL AND METHODS: Eight observers (radiation oncologists) from six institutions delineated the gross tumor volume (GTV) on 3DCT, and internal GTV (iGTV) on 4DCT of four pancreatic cancer patients, while MRI was available in a second window (CT + MRI). Variations in volume, generalized conformity index (CIgen), and overall observer variation, expressed as standard deviation (SD) of the distances between delineated surfaces, were analyzed. CIgen is a measure of overlap of the delineated iGTVs (1 = full overlap, 0 = no overlap). Results were compared with those from an earlier study that assessed the interobserver variation by the same observers on the same patients on CT without MRI (CT-only).
RESULTS: The maximum ratios between delineated volumes within a patient were 6.1 and 22.4 for the GTV (3DCT) and iGTV (4DCT), respectively. The average (root-mean-square) overall observer variations were SD = 0.41 cm (GTV) and SD = 0.73 cm (iGTV). The mean CIgen was 0.36 for GTV and 0.37 for iGTV. When compared to the iGTV delineated on CT-only, the mean volumes of the iGTV on CT + MRI were significantly smaller (32%, Wilcoxon signed-rank, p < .0005). The median volumes of the iGTV on CT + MRI were included for 97% and 92% in the median volumes of the iGTV on CT. Furthermore, CT + MRI showed smaller overall observer variations (root-mean-square SD = 0.59 cm) in six out of eight delineated structures compared to CT-only (root-mean-square SD = 0.72 cm). However, large local observer variations remained close to biliary stents and pathological lymph nodes, indicating issues with instructions and instruction compliance.
CONCLUSIONS: The availability of MRI images during target delineation of pancreatic cancer on 3DCT and 4DCT resulted in smaller target volumes and reduced the interobserver variation in six out of eight delineated structures.

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Year:  2017        PMID: 28375667     DOI: 10.1080/0284186X.2017.1304654

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  9 in total

Review 1.  The future of MRI in radiation therapy: Challenges and opportunities for the MR community.

Authors:  Rosie J Goodburn; Marielle E P Philippens; Thierry L Lefebvre; Aly Khalifa; Tom Bruijnen; Joshua N Freedman; David E J Waddington; Eyesha Younus; Eric Aliotta; Gabriele Meliadò; Teo Stanescu; Wajiha Bano; Ali Fatemi-Ardekani; Andreas Wetscherek; Uwe Oelfke; Nico van den Berg; Ralph P Mason; Petra J van Houdt; James M Balter; Oliver J Gurney-Champion
Journal:  Magn Reson Med       Date:  2022-09-21       Impact factor: 3.737

2.  MRI-based Assessment of 3D Intrafractional Motion of Head and Neck Cancer for Radiation Therapy.

Authors:  Oliver J Gurney-Champion; Dualta McQuaid; Alex Dunlop; Kee H Wong; Liam C Welsh; Angela M Riddell; Dow-Mu Koh; Uwe Oelfke; Martin O Leach; Christopher M Nutting; Shreerang A Bhide; Kevin J Harrington; Rafal Panek; Kate L Newbold
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-10-16       Impact factor: 7.038

3.  Quality assurance of the PREOPANC trial (2012-003181-40) for preoperative radiochemotherapy in pancreatic cancer : The dummy run.

Authors:  Eva Versteijne; Eelco Lens; Astrid van der Horst; Arjan Bel; Jorrit Visser; Cornelis J A Punt; Mustafa Suker; Casper H J van Eijck; Geertjan van Tienhoven
Journal:  Strahlenther Onkol       Date:  2017-06-12       Impact factor: 3.621

4.  Principal component analysis fosr fast and model-free denoising of multi b-value diffusion-weighted MR images.

Authors:  Oliver J Gurney-Champion; David J Collins; Andreas Wetscherek; Mihaela Rata; Remy Klaassen; Hanneke W M van Laarhoven; Kevin J Harrington; Uwe Oelfke; Matthew R Orton
Journal:  Phys Med Biol       Date:  2019-05-17       Impact factor: 3.609

5.  Assessment of positional reproducibility in the head and neck on a 1.5-T MR simulator for an offline MR-guided radiotherapy solution.

Authors:  Yihang Zhou; Jing Yuan; Oi Lei Wong; Winky Wing Ki Fung; Ka Fai Cheng; Kin Yin Cheung; Siu Ki Yu
Journal:  Quant Imaging Med Surg       Date:  2018-10

6.  New target volume delineation and PTV strategies to further personalise radiotherapy.

Authors:  David Bernstein; Alexandra Taylor; Simeon Nill; Uwe Oelfke
Journal:  Phys Med Biol       Date:  2021-02-25       Impact factor: 3.609

7.  Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients.

Authors:  Oliver J Gurney-Champion; Remy Klaassen; Martijn Froeling; Sebastiano Barbieri; Jaap Stoker; Marc R W Engelbrecht; Johanna W Wilmink; Marc G Besselink; Arjan Bel; Hanneke W M van Laarhoven; Aart J Nederveen
Journal:  PLoS One       Date:  2018-04-04       Impact factor: 3.240

8.  Evaluating differences in respiratory motion estimates during radiotherapy: a single planning 4DMRI versus daily 4DMRI.

Authors:  Duncan den Boer; Johannes K Veldman; Geertjan van Tienhoven; Arjan Bel; Zdenko van Kesteren
Journal:  Radiat Oncol       Date:  2021-09-26       Impact factor: 3.481

9.  Deformable image registration in radiation therapy.

Authors:  Jason A Dowling; Laura M O'Connor
Journal:  J Med Radiat Sci       Date:  2020-10-26
  9 in total

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