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Defining the individual internal gross tumor volume of hepatocellular carcinoma using 4DCT and T2-weighted MRI images by deformable registration

  
@article{TCR18816,
	author = {Fujing Huang and Changsheng Ma and Ruozheng Wang and Guanzhong Gong and Dongping Shang and Yong Yin},
	title = {Defining the individual internal gross tumor volume of hepatocellular carcinoma using 4DCT and T2-weighted MRI images by deformable registration},
	journal = {Translational Cancer Research},
	volume = {7},
	number = {1},
	year = {2018},
	keywords = {},
	abstract = {Background: To study the feasibility of defining the individual internal gross tumor volume (IGTV) of hepatocellular carcinoma (HCC) using four-dimensional computed tomography (4DCT) imaging and T2-weighted magnetic resonance imaging (T2-weighted MRI) by deformable registration (DR). 
Methods: Ten HCC patients who previously received radiotherapy treatment were selected for this study. The following simulation images were acquired sequentially: 4DCT in free breathing and T2-weighted MRI in deep-inspiration breath holding. All 4DCT images were sorted into ten phases according to breath cycle (CT00–CT90). Gross tumor volumes (GTVs) were contoured on all CT images and the IGTV was obtained by merging the GTVs in each phase of 4DCT imaging. The GTV on the T2-weighted MRI image was deformably registered to each 4DCT phase image using MIM software version 6.5.6 and the results were labeled with DR subscript. The IGTVDR was obtained by merging the GTVDR on the 4DCT images. Statistical differences in the GTVs and between the IGTV and IGTVDR were assessed by a paired t-test. 
Results: The edge of most lesions could be definitively identified using T2-weighted MRI images, compared to 4DCT images. The Reg Reveal and Reg Refine were used to minimize the DR error manually within 1 mm. The GTVs after DR on 4DCT different phase imaging increased by an average of 8.18% (P},
	issn = {2219-6803},	url = {https://tcr.amegroups.org/article/view/18816}
}