Literature DB >> 18078719

Comparison of intensity-modulated radiotherapy planning based on manual and automatically generated contours using deformable image registration in four-dimensional computed tomography of lung cancer patients.

Elisabeth Weiss1, Krishni Wijesooriya, Viswanathan Ramakrishnan, Paul J Keall.   

Abstract

PURPOSE: To evaluate the implications of differences between contours drawn manually and contours generated automatically by deformable image registration for four-dimensional (4D) treatment planning. METHODS AND MATERIALS: In 12 lung cancer patients intensity-modulated radiotherapy (IMRT) planning was performed for both manual contours and automatically generated ("auto") contours in mid and peak expiration of 4D computed tomography scans, with the manual contours in peak inspiration serving as the reference for the displacement vector fields. Manual and auto plans were analyzed with respect to their coverage of the manual contours, which were assumed to represent the anatomically correct volumes.
RESULTS: Auto contours were on average larger than manual contours by up to 9%. Objective scores, D(2%) and D(98%) of the planning target volume, homogeneity and conformity indices, and coverage of normal tissue structures (lungs, heart, esophagus, spinal cord) at defined dose levels were not significantly different between plans (p = 0.22-0.94). Differences were statistically insignificant for the generalized equivalent uniform dose of the planning target volume (p = 0.19-0.94) and normal tissue complication probabilities for lung and esophagus (p = 0.13-0.47). Dosimetric differences >2% or >1 Gy were more frequent in patients with auto/manual volume differences > or =10% (p = 0.04).
CONCLUSIONS: The applied deformable image registration algorithm produces clinically plausible auto contours in the majority of structures. At this stage clinical supervision of the auto contouring process is required, and manual interventions may become necessary. Before routine use, further investigations are required, particularly to reduce imaging artifacts.

Entities:  

Mesh:

Year:  2007        PMID: 18078719      PMCID: PMC2238773          DOI: 10.1016/j.ijrobp.2007.09.035

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  32 in total

1.  Fast free-form deformable registration via calculus of variations.

Authors:  Weiguo Lu; Ming-Li Chen; Gustavo H Olivera; Kenneth J Ruchala; Thomas R Mackie
Journal:  Phys Med Biol       Date:  2004-07-21       Impact factor: 3.609

2.  3D brain mapping using a deformable neuroanatomy.

Authors:  G E Christensen; R D Rabbitt; M I Miller
Journal:  Phys Med Biol       Date:  1994-03       Impact factor: 3.609

3.  Complication probability as assessed from dose-volume histograms.

Authors:  J T Lyman
Journal:  Radiat Res Suppl       Date:  1985

4.  Evaluation of a target contouring protocol for 3D conformal radiotherapy in non-small cell lung cancer.

Authors:  S Senan; J van Sörnsen de Koste; M Samson; H Tankink; P Jansen; P J Nowak; A D Krol; P Schmitz; F J Lagerwaard
Journal:  Radiother Oncol       Date:  1999-12       Impact factor: 6.280

5.  Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines.

Authors:  Martha M Coselmon; James M Balter; Daniel L McShan; Marc L Kessler
Journal:  Med Phys       Date:  2004-11       Impact factor: 4.071

6.  Comparing different NTCP models that predict the incidence of radiation pneumonitis. Normal tissue complication probability.

Authors:  Yvette Seppenwoolde; Joos V Lebesque; Katrien de Jaeger; José S A Belderbos; Liesbeth J Boersma; Cees Schilstra; George T Henning; James A Hayman; Mary K Martel; Randall K Ten Haken
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-03-01       Impact factor: 7.038

7.  Dose and volume reduction for normal lung using intensity-modulated radiotherapy for advanced-stage non-small-cell lung cancer.

Authors:  Hasan Murshed; H Helen Liu; Zhongxing Liao; Jerry L Barker; Xiaochun Wang; Susan L Tucker; Anurag Chandra; Thomas Guerrero; Craig Stevens; Joe Y Chang; Melinda Jeter; James D Cox; Ritsuko Komaki; Radhe Mohan; Joe Y Change
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-03-15       Impact factor: 7.038

8.  Feasibility of sparing lung and other thoracic structures with intensity-modulated radiotherapy for non-small-cell lung cancer.

Authors:  H Helen Liu; Xiaochun Wang; Lei Dong; Qiuwen Wu; Zhongxing Liao; Craig W Stevens; Thomas M Guerrero; Ritsuko Komaki; James D Cox; Radhe Mohan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-03-15       Impact factor: 7.038

9.  Intrathoracic tumour motion estimation from CT imaging using the 3D optical flow method.

Authors:  Thomas Guerrero; Geoffrey Zhang; Tzung-Chi Huang; Kang-Ping Lin
Journal:  Phys Med Biol       Date:  2004-09-07       Impact factor: 3.609

10.  Measurement of lung tumor motion using respiration-correlated CT.

Authors:  Gig S Mageras; Alex Pevsner; Ellen D Yorke; Kenneth E Rosenzweig; Eric C Ford; Agung Hertanto; Steven M Larson; D Michael Lovelock; Yusuf E Erdi; Sadek A Nehmeh; John L Humm; C Clifton Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-11-01       Impact factor: 7.038

View more
  8 in total

1.  Segmentation editing improves efficiency while reducing inter-expert variation and maintaining accuracy for normal brain tissues in the presence of space-occupying lesions.

Authors:  M A Deeley; A Chen; R D Datteri; J Noble; A Cmelak; E Donnelly; A Malcolm; L Moretti; J Jaboin; K Niermann; Eddy S Yang; David S Yu; B M Dawant
Journal:  Phys Med Biol       Date:  2013-05-17       Impact factor: 3.609

2.  Quantifying the accuracy of automated structure segmentation in 4D CT images using a deformable image registration algorithm.

Authors:  Krishni Wijesooriya; E Weiss; V Dill; L Dong; R Mohan; S Joshi; P J Keall
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

3.  Evaluation of 4-dimensional computed tomography to 4-dimensional cone-beam computed tomography deformable image registration for lung cancer adaptive radiation therapy.

Authors:  Salim Balik; Elisabeth Weiss; Nuzhat Jan; Nicholas Roman; William C Sleeman; Mirek Fatyga; Gary E Christensen; Cheng Zhang; Martin J Murphy; Jun Lu; Paul Keall; Jeffrey F Williamson; Geoffrey D Hugo
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-02-22       Impact factor: 7.038

Review 4.  Advances in the use of motion management and image guidance in radiation therapy treatment for lung cancer.

Authors:  Jason K Molitoris; Tejan Diwanji; James W Snider; Sina Mossahebi; Santanu Samanta; Shahed N Badiyan; Charles B Simone; Pranshu Mohindra
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

Review 5.  A review of automatic lung tumour segmentation in the era of 4DCT.

Authors:  Nadine Wong Yuzhen; Sarah Barrett
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-22

6.  IMRT treatment planning on 4D geometries for the era of dynamic MLC tracking.

Authors:  Yelin Suh; Walter Murray; Paul J Keall
Journal:  Technol Cancer Res Treat       Date:  2013-12-17

7.  A Voxel-by-Voxel Comparison of Deformable Vector Fields Obtained by Three Deformable Image Registration Algorithms Applied to 4DCT Lung Studies.

Authors:  Mirek Fatyga; Nesrin Dogan; Elizabeth Weiss; William C Sleeman; Baoshe Zhang; William J Lehman; Jeffrey F Williamson; Krishni Wijesooriya; Gary E Christensen
Journal:  Front Oncol       Date:  2015-02-04       Impact factor: 6.244

8.  Dosimetric assessment of an Atlas based automated segmentation for loco-regional radiation therapy of early breast cancer in the Skagen Trial 1: A multi-institutional study.

Authors:  Ahmed R Eldesoky; Giulio Francolini; Mette S Thomsen; Esben S Yates; Tine B Nyeng; Carine Kirkove; Claus Kamby; Egil S Blix; Mette H Nielsen; Zahra Taheri-Kadkhoda; Martin Berg; Birgitte V Offersen
Journal:  Clin Transl Radiat Oncol       Date:  2017-02-06
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.