TY - JOUR
T1 - Combined Volumetric and Density Analyses of Contrast-Enhanced CT Imaging to Assess Drug Therapy Response in Gastroenteropancreatic Neuroendocrine Diffuse Liver Metastasis
AU - Wang, Yi
AU - Huang, Kun
AU - Chen, Jie
AU - Luo, Yanji
AU - Zhang, Yu
AU - Jia, Yingmei
AU - Xu, Ling
AU - Chen, Minhu
AU - Huang, Bingsheng
AU - Ni, Dong
AU - Li, Zi Ping
AU - Feng, Shi Ting
N1 - Publisher Copyright:
© 2018 Yi Wang et al.
PY - 2018
Y1 - 2018
N2 - Objective. 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 diffuse liver metastases. Methods. Twenty-five patients with GEP-NETs with diffuse 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.
AB - Objective. 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 diffuse liver metastases. Methods. Twenty-five patients with GEP-NETs with diffuse 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.
UR - http://www.scopus.com/inward/record.url?scp=85056223639&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056223639&partnerID=8YFLogxK
U2 - 10.1155/2018/6037273
DO - 10.1155/2018/6037273
M3 - Article
C2 - 30510495
AN - SCOPUS:85056223639
SN - 1555-4309
VL - 2018
JO - Contrast Media and Molecular Imaging
JF - Contrast Media and Molecular Imaging
M1 - 6037273
ER -