Literature DB >> 24870246

The effectiveness of gadolinium MRI to improve target delineation for radiotherapy in hepatocellular carcinoma: a comparative study of rigid image registration techniques.

D S Yang1, W S Yoon2, J A Lee1, N K Lee3, S Lee3, C Y Kim3, H J Yim4, S H Lee5, H H Chung5, S H Cha5.   

Abstract

To achieve consistent target delineation in radiotherapy for hepatocellular carcinoma (HCC), image registration between simulation CT and diagnostic MRI was explored. Twenty patients with advanced HCC were included. The median interval between MRI and CT was 11 days. CT was obtained with shallow free breathing and MRI at exhale phase. On each CT and MRI, the liver and the gross target volume (GTV) were drawn. A rigid image registration was taken according to point information of vascular bifurcation (Method[A]) and pixel information of volume of interest only including the periphery of the liver (Method[B]) and manually drawn liver (Method[C]). In nine cases with an indefinite GTV on CT, a virtual sphere was generated at the epicenter of the GTV. The GTV from CT (VGTV[CT]) and MRI (VGTV[MR]) and the expanded GTV from MRI (V+GTV[MR]) considering geometrical registration error were defined. The underestimation (uncovered V[CT] by V[MR]) and the overestimation (excessive V[MR] by V[CT]) were calculated. Through a paired T-test, the difference between image registration techniques was analyzed. For method[A], the underestimation rates of VGTV[MR] and V+GTV[MR] were 16.4 ± 8.9% and 3.2 ± 3.7%, and the overestimation rates were 16.6 ± 8.7% and 28.4 ± 10.3%, respectively. For VGTV[MR] and V+GTV[MR], the underestimation rates and overestimation rates of method[A] were better than method[C]. The underestimation rates and overestimation rates of the VGTV[MR] were better in method[B] than method[C]. By image registration and additional margin, about 97% of HCC could be covered. Method[A] or method[B] could be recommended according to physician preference.
Copyright © 2014 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gross target volume; Hepatocellular carcinoma; Image registration; Radiotherapy

Mesh:

Substances:

Year:  2014        PMID: 24870246     DOI: 10.1016/j.ejmp.2014.05.003

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  4 in total

1.  Proton beam therapy outcomes for localized unresectable hepatocellular carcinoma.

Authors:  Awalpreet S Chadha; Jillian R Gunther; Cheng-En Hsieh; Maureen Aliru; Lakshmi S Mahadevan; Bhanu P Venkatesulu; Christopher H Crane; Prajnan Das; Joseph M Herman; Eugene J Koay; Cullen Taniguchi; Emma B Holliday; Bruce D Minsky; Yelin Suh; Peter Park; Gabriel Sawakuchi; Sam Beddar; Bruno C Odisio; Sanjay Gupta; Evelyne Loyer; Harmeet Kaur; Kanwal Raghav; Milind M Javle; Ahmed O Kaseb; Sunil Krishnan
Journal:  Radiother Oncol       Date:  2019-01-16       Impact factor: 6.280

2.  Inter-observer agreement of computed tomography and magnetic resonance imaging on gross tumor volume delineation of intrahepatic cholangiocarcinoma: an initial study.

Authors:  Nan Zhou; Anning Hu; Zhihao Shi; Xiaolu Wang; Qiongjie Zhu; Qun Zhou; Jun Ma; Feng Zhao; Weiwei Kong; Jian He
Journal:  Quant Imaging Med Surg       Date:  2021-02

3.  Considerable interobserver variation in delineation of pancreatic cancer on 3DCT and 4DCT: a multi-institutional study.

Authors:  Eva Versteijne; Oliver J Gurney-Champion; Astrid van der Horst; Eelco Lens; M Willemijn Kolff; Jeroen Buijsen; Gati Ebrahimi; Karen J Neelis; Coen R N Rasch; Jaap Stoker; Marcel van Herk; Arjan Bel; Geertjan van Tienhoven
Journal:  Radiat Oncol       Date:  2017-03-23       Impact factor: 3.481

Review 4.  MR-Guided Radiotherapy for Liver Malignancies.

Authors:  Luca Boldrini; Stefanie Corradini; Cihan Gani; Lauren Henke; Ali Hosni; Angela Romano; Laura Dawson
Journal:  Front Oncol       Date:  2021-04-01       Impact factor: 6.244

  4 in total

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