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

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 l...

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Detalles Bibliográficos
Autores principales: Wang, Yi, Huang, Kun, Chen, Jie, Luo, Yanji, Zhang, Yu, Jia, Yingmei, Xu, Ling, Chen, Minhu, Huang, Bingsheng, Ni, Dong, Li, Zi-Ping, Feng, Shi-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230417/
https://www.ncbi.nlm.nih.gov/pubmed/30510495
http://dx.doi.org/10.1155/2018/6037273
Descripción
Sumario: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.