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Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma.

Publication ,  Journal Article
Cheung, AL-Y; Zhang, L; Liu, C; Li, T; Cheung, AH-Y; Leung, C; Leung, AK-C; Lam, S-K; Lee, VH-F; Cai, J
Published in: Front Oncol
2022

PURPOSE: Tumor delineation plays a critical role in radiotherapy for hepatocellular carcinoma (HCC) patients. The incorporation of MRI might improve the ability to correctly identify tumor boundaries and delineation consistency. In this study, we evaluated a novel Multisource Adaptive MRI Fusion (MAMF) method in HCC patients for tumor delineation. METHODS: Ten patients with HCC were included in this study retrospectively. Contrast-enhanced T1-weighted MRI at portal-venous phase (T1WPP), contrast-enhanced T1-weighted MRI at 19-min delayed phase (T1WDP), T2-weighted (T2W), and diffusion-weighted MRI (DWI) were acquired on a 3T MRI scanner and imported to in-house-developed MAMF software to generate synthetic MR fusion images. The original multi-contrast MR image sets were registered to planning CT by deformable image registration (DIR) using MIM. Four observers independently delineated gross tumor volumes (GTVs) on the planning CT, four original MR image sets, and the fused MRI for all patients. Tumor contrast-to-noise ratio (CNR) and Dice similarity coefficient (DSC) of the GTVs between each observer and a reference observer were measured on the six image sets. Inter-observer and inter-patient mean, SD, and coefficient of variation (CV) of the DSC were evaluated. RESULTS: Fused MRI showed the highest tumor CNR compared to planning CT and original MR sets in the ten patients. The mean ± SD tumor CNR was 0.72 ± 0.73, 3.66 ± 2.96, 4.13 ± 3.98, 4.10 ± 3.17, 5.25 ± 2.44, and 9.82 ± 4.19 for CT, T1WPP, T2W, DWI, T1WDP, and fused MRI, respectively. Fused MRI has the minimum inter-observer and inter-patient variations as compared to original MR sets and planning CT sets. GTV delineation inter-observer mean DSC across the ten patients was 0.81 ± 0.09, 0.85 ± 0.08, 0.88 ± 0.04, 0.89 ± 0.08, 0.90 ± 0.04, and 0.95 ± 0.02 for planning CT, T1WPP, T2W, DWI, T1WDP, and fused MRI, respectively. The patient mean inter-observer CV of DSC was 3.3%, 3.2%, 1.7%, 2.6%, 1.5%, and 0.9% for planning CT, T1WPP, T2W, DWI, T1WDP, and fused MRI, respectively. CONCLUSION: The results demonstrated that the fused MRI generated using the MAMF method can enhance tumor CNR and improve inter-observer consistency of GTV delineation in HCC as compared to planning CT and four commonly used MR image sets (T1WPP, T1WDP, T2W, and DWI). The MAMF method holds great promise in MRI applications in HCC radiotherapy treatment planning.

Duke Scholars

Published In

Front Oncol

DOI

ISSN

2234-943X

Publication Date

2022

Volume

12

Start / End Page

816678

Location

Switzerland

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1112 Oncology and Carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cheung, A.-Y., Zhang, L., Liu, C., Li, T., Cheung, A.-Y., Leung, C., … Cai, J. (2022). Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma. Front Oncol, 12, 816678. https://doi.org/10.3389/fonc.2022.816678
Cheung, Andy Lai-Yin, Lei Zhang, Chenyang Liu, Tian Li, Anson Ho-Yin Cheung, Chun Leung, Angus Kwong-Chuen Leung, Sai-Kit Lam, Victor Ho-Fun Lee, and Jing Cai. “Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma.Front Oncol 12 (2022): 816678. https://doi.org/10.3389/fonc.2022.816678.
Cheung AL-Y, Zhang L, Liu C, Li T, Cheung AH-Y, Leung C, et al. Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma. Front Oncol. 2022;12:816678.
Cheung, Andy Lai-Yin, et al. “Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma.Front Oncol, vol. 12, 2022, p. 816678. Pubmed, doi:10.3389/fonc.2022.816678.
Cheung AL-Y, Zhang L, Liu C, Li T, Cheung AH-Y, Leung C, Leung AK-C, Lam S-K, Lee VH-F, Cai J. Evaluation of Multisource Adaptive MRI Fusion for Gross Tumor Volume Delineation of Hepatocellular Carcinoma. Front Oncol. 2022;12:816678.

Published In

Front Oncol

DOI

ISSN

2234-943X

Publication Date

2022

Volume

12

Start / End Page

816678

Location

Switzerland

Related Subject Headings

  • 3211 Oncology and carcinogenesis
  • 3202 Clinical sciences
  • 1112 Oncology and Carcinogenesis