Literature DB >> 21224293

Conventional 3D staging PET/CT in CT simulation for lung cancer: impact of rigid and deformable target volume alignments for radiotherapy treatment planning.

G G Hanna1, J R Van Sörnsen De Koste, K J Carson, J M O'Sullivan, A R Hounsell, S Senan.   

Abstract

OBJECTIVE: Positron emission tomography (PET)/CT scans can improve target definition in radiotherapy for non-small cell lung cancer (NSCLC). As staging PET/CT scans are increasingly available, we evaluated different methods for co-registration of staging PET/CT data to radiotherapy simulation (RTP) scans.
METHODS: 10 patients underwent staging PET/CT followed by RTP PET/CT. On both scans, gross tumour volumes (GTVs) were delineated using CT (GTV(CT)) and PET display settings. Four PET-based contours (manual delineation, two threshold methods and a source-to-background ratio method) were delineated. The CT component of the staging scan was co-registered using both rigid and deformable techniques to the CT component of RTP PET/CT. Subsequently rigid registration and deformation warps were used to transfer PET and CT contours from the staging scan to the RTP scan. Dice's similarity coefficient (DSC) was used to assess the registration accuracy of staging-based GTVs following both registration methods with the GTVs delineated on the RTP PET/CT scan.
RESULTS: When the GTV(CT) delineated on the staging scan after both rigid registration and deformation was compared with the GTV(CT)on the RTP scan, a significant improvement in overlap (registration) using deformation was observed (mean DSC 0.66 for rigid registration and 0.82 for deformable registration, p = 0.008). A similar comparison for PET contours revealed no significant improvement in overlap with the use of deformable registration.
CONCLUSIONS: No consistent improvements in similarity measures were observed when deformable registration was used for transferring PET-based contours from a staging PET/CT. This suggests that currently the use of rigid registration remains the most appropriate method for RTP in NSCLC.

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Year:  2011        PMID: 21224293      PMCID: PMC3473761          DOI: 10.1259/bjr/29163167

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


  20 in total

Review 1.  Clinical implications of defining the gross tumor volume with combination of CT and 18FDG-positron emission tomography in non-small-cell lung cancer.

Authors:  Inga S Grills; Di Yan; Quinten C Black; Ching-Yee O Wong; Alvaro A Martinez; Larry L Kestin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-12-29       Impact factor: 7.038

2.  Assessment of a model-based deformable image registration approach for radiation therapy planning.

Authors:  Michael R Kaus; Kristy K Brock; Vladimir Pekar; Laura A Dawson; Alan M Nichol; David A Jaffray
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-06-01       Impact factor: 7.038

3.  Can positron emission tomography (PET) or PET/Computed Tomography (CT) acquired in a nontreatment position be accurately registered to a head-and-neck radiotherapy planning CT?

Authors:  Andrew B Hwang; Stephen L Bacharach; Sue S Yom; Vivian K Weinberg; Jeanne M Quivey; Benjamin L Franc; Ping Xia
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-12-10       Impact factor: 7.038

4.  Where do we draw the line? Contouring tumors on positron emission tomography/computed tomography.

Authors:  Michael P Macmanus; Rodney J Hicks
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-05-01       Impact factor: 7.038

5.  Static and moving phantom studies for radiation treatment planning in a positron emission tomography and computed tomography (PET/CT) system.

Authors:  Mitsuru Okubo; Yasumasa Nishimura; Kiyoshi Nakamatsu; Masahiko Okumura; Toru Shibata; Shuichi Kanamori; Kouhei Hanaoka; Makoto Hosono
Journal:  Ann Nucl Med       Date:  2008-08-29       Impact factor: 2.668

6.  Results of a multi-institution deformable registration accuracy study (MIDRAS).

Authors:  Kristy K Brock
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-11-10       Impact factor: 7.038

Review 7.  Use of PET and PET/CT for radiation therapy planning: IAEA expert report 2006-2007.

Authors:  Michael MacManus; Ursula Nestle; Kenneth E Rosenzweig; Ignasi Carrio; Cristina Messa; Otakar Belohlavek; Massimo Danna; Tomio Inoue; Elizabeth Deniaud-Alexandre; Stefano Schipani; Naoyuki Watanabe; Maurizio Dondi; Branislav Jeremic
Journal:  Radiother Oncol       Date:  2008-12-25       Impact factor: 6.280

8.  FDG-PET-based radiotherapy planning in lung cancer: optimum breathing protocol and patient positioning--an intraindividual comparison.

Authors:  Aleksandar Grgic; Ursula Nestle; Andrea Schaefer-Schuler; Stephanie Kremp; Carl-Martin Kirsch; Dirk Hellwig
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-07-14       Impact factor: 7.038

9.  Personnel radiation dose considerations in the use of an integrated PET-CT scanner for radiotherapy treatment planning.

Authors:  K J Carson; V A L Young; V P Cosgrove; P H Jarritt; A R Hounsell
Journal:  Br J Radiol       Date:  2009-03-30       Impact factor: 3.039

10.  Nonrigid image registration for head and neck cancer radiotherapy treatment planning with PET/CT.

Authors:  Rob H Ireland; Karen E Dyker; David C Barber; Steven M Wood; Michael B Hanney; Wendy B Tindale; Neil Woodhouse; Nigel Hoggard; John Conway; Martin H Robinson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-04-18       Impact factor: 7.038

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  3 in total

1.  Deformable registration of the inflated and deflated lung in cone-beam CT-guided thoracic surgery: initial investigation of a combined model- and image-driven approach.

Authors:  Ali Uneri; Sajendra Nithiananthan; Sebastian Schafer; Yoshito Otake; J Webster Stayman; Gerhard Kleinszig; Marc S Sussman; Jerry L Prince; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

2.  Comparative evaluation of target volumes defined by deformable and rigid registration of diagnostic PET/CT to planning CT in primary esophageal cancer.

Authors:  Yanluan Guo; Jianbin Li; Peng Zhang; Qian Shao; Min Xu; Yankang Li
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

3.  A new technique combining virtual simulation and methylene blue staining for the localization of small peripheral pulmonary lesions.

Authors:  Yang Shentu; Liang Zhang; Hengle Gu; Feng Mao; Minghui Cai; Zhengping Ding; Zhiqiang Wang
Journal:  BMC Cancer       Date:  2014-02-11       Impact factor: 4.430

  3 in total

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