Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Apr 1;121(5):1339-1348.
doi: 10.1016/j.ijrobp.2024.11.087. Epub 2024 Nov 26.

Evaluating the Impact of Liver Vasculature Model Complexity for Estimating Dose to Circulating Blood During Radiation Therapy

Affiliations

Evaluating the Impact of Liver Vasculature Model Complexity for Estimating Dose to Circulating Blood During Radiation Therapy

Shu Xing et al. Int J Radiat Oncol Biol Phys. .

Abstract

Purpose: To assess the impact of liver model complexity on the estimated radiation dose to circulating blood during radiation therapy.

Methods and materials: Six patients with hepatocellular carcinoma (HCC) were selected covering a range of clinical treatment volume (CTV) sizes and locations. Photon and proton treatment plans were generated for each patient. Planning computed tomography, CTV contours, and dose distributions were deformably registered to the reference livers provided by the International Commission on Radiological Protection report. Three vasculature models were considered: (1) main vascular tree (MVT), (2) coarse vascular tree (CVT) of 1045 vessels, and (3) detailed vascular tree (DVT) of 2041 vessels. Blood dose-volume histograms (bDVHMVT, bDVHCVT, and bDVHDVT) and the mean circulating blood dose (μb,MVT, μb,CVT, and μb,DVT) were estimated using Monte Carlo simulations for all 3 models. The effect of varying blood velocity (vb) in HCC tumors on dose estimation was also evaluated through increasing the tumor vb by 1.5, 2, and 4.2 times.

Results: For the 3 lesions located in the left lobe, the estimated μb,MVT was lower than μb,DVT by an average ± standard deviation of (6 ± 4)% and (17 ± 7)% for photon and proton treatments, respectively. Smaller differences were found for lesions in the right lobe, where μb,MVT was on average (2 ± 1)% lower than μb,DVT for photon and (3 ± 1)% lower for proton treatments. More pronounced difference between μb,MVT and μb,DVT was seen in lesions with smaller CTV sizes. We also found that considering the elevated tumor vb led to a reduction of estimated dose to circulating blood, with a maximum reduction in the estimated μb of 39% and 8% for CTV of 603 and 249 mL, respectively.

Conclusion: Our study revealed that the impact of liver vasculature model complexity on the estimated dose to blood depended on lesion-specific characteristics. For lesions with larger CTV size on the right liver lobe treated with photons, modeling only major vessels could generate bDVHs that are dosimetrically comparable with bDVHs of more complex vascular models. Increased tumor vb resulted in a reduction of the estimated blood dose.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest: None

References

    1. Balogh J et al. Hepatocellular carcinoma: a review. J Hepatocell Carcinoma Volume 3, 41–53 (2016). - PMC - PubMed
    1. Byun HK, Kim N, Park S & Seong J Acute severe lymphopenia by radiotherapy is associated with reduced overall survival in hepatocellular carcinoma. Strahlentherapie und Onkologie 195, 1007–1017 (2019). - PubMed
    1. Zhang H-G et al. Lymphopenia Is Associated with Gross Target Volumes and Fractions in Hepatocellular Carcinoma Patients Treated with External Beam Radiation Therapy and Also Indicates Worse Overall Survival. (2019) doi:10.1155/2019/9691067. - DOI - PMC - PubMed
    1. De B et al. Radiation-Associated Lymphopenia and Outcomes of Patients with Unresectable Hepatocellular Carcinoma Treated with Radiotherapy. J Hepatocell Carcinoma Volume 8, 57–69 (2021). - PMC - PubMed
    1. Pardee AD & Butterfield LH Immunotherapy of hepatocellular carcinoma: Unique challenges and clinical opportunities. OncoImmunology vol. 1 48–55 Preprint at 10.4161/onci.1.1.18344 (2012). - DOI - PMC - PubMed

Publication types

MeSH terms