• Title of article

    Combined Volumetric and Density Analyses of Contrast-Enhanced CT Imaging to Assess Drug Therapy Response in Gastroenteropancreatic Neuroendocrine Diffuse Liver Metastasis

  • Author/Authors

    Wang, Yi School of Biomedical Engineering - Health Science Center - Shenzhen University - Shenzhen, China , Huang, Kun Department of Radiology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China , Chen, Jie Department of Gastroenterology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China , Luo, Yanji Department of Radiology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China , Zhang, Yu Department of Gastroenterology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China , Jia, Yingmei Department of Radiology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China , Xu, Ling Faculty of Medicine and Dentistry - University of Western Australia - Perth, Australia , Chen, Minhu Department of Gastroenterology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China , Huang, Bingsheng School of Biomedical Engineering - Health Science Center - Shenzhen University - Shenzhen, China , Ni, Dong School of Biomedical Engineering - Health Science Center - Shenzhen University - Shenzhen, China , Li, Zi-Ping Department of Radiology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China , Feng, Shi-Ting Department of Radiology - The First Affliated Hospital - Sun Yat-Sen University - Guangzhou, China

  • Pages
    10
  • From page
    1
  • To page
    10
  • Abstract
    We propose a computer-aided method to assess response to drug treatment, using CT imaging-based volumetric and density measures in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) and difiuse liver metastases. Methods. Twenty- ve patients with GEP-NETs with difiuse liver metastases were enrolled. Pre- and posttreatment CT examinations were retrospectively analyzed. Total tumor volume (volume) and mean volumetric tumor density (density) were calculated based on tumor segmentation on CT images. The maximum axial diameter (tumor size) for each target tumor was measured on pre- and posttreatment CT images according to Response Evaluation Criteria In Solid Tumors (RECIST). Progression-free survival (PFS) for each patient was measured and recorded. Results. Correlation analysis showed inverse correlation between change of volume and density (Δ(V + D)), change of volume (ΔV), and change of tumor size (ΔS) with PFS (r = −0.653, P = 0.001; r = −0.617, P = 0.003; r = −0.548, P = 0.01, respectively). There was no linear correlation between ΔD and PFS (r = −0.226, P = 0.325). Conclusion. THe changes of volume and density derived from CT images of all lesions showed a good correlation with PFS and may help assess treatment response.
  • Keywords
    CT , GEP-NET , RECIST
  • Journal title
    Contrast Media and Molecular Imaging
  • Serial Year
    2018
  • Record number

    2617637