A Quantitative Assessment of Hepatocellular Carcinoma Grading using Multiphoton Microscopy

2017 ◽  
Author(s):  
Hongxin Lin ◽  
Ning Zuo ◽  
Shuangmu Zhuo
Keyword(s):  
Hepatocellular Carcinoma ◽  
Quantitative Assessment ◽  
Multiphoton Microscopy

Quantitative assessment of microenvironment characteristics and metabolic activity in glioma via multiphoton microscopy

2019 ◽  
Vol 12 (10) ◽  
Author(s):  
Na Fang ◽  
Zanyi Wu ◽  
Xingfu Wang ◽  
Yuanxiang Lin ◽  
Lianhuang Li ◽  
...  
Keyword(s):  
Metabolic Activity ◽  
Quantitative Assessment ◽  
Multiphoton Microscopy

Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning

2019 ◽  
Vol 12 (7) ◽  
Author(s):  
Hongxin Lin ◽  
Chao Wei ◽  
Guangxing Wang ◽  
Hu Chen ◽  
Lisheng Lin ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Deep Learning ◽  
Multiphoton Microscopy ◽  
Automated Classification

scholarly journals Quantitative Volumetric Assessment of Ablative Margins in Hepatocellular Carcinoma: Predicting Local Tumor Progression Using Nonrigid Registration Software

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
P. Hendriks ◽  
W. A. Noortman ◽  
T. R. Baetens ◽  
A. R. van Erkel ◽  
C. S. P. van Rijswijk ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Quantitative Analysis ◽  
Tumor Progression ◽  
Quantitative Assessment ◽  
Interobserver Agreement ◽  
Qualitative Assessment ◽  
Local Tumor Progression ◽  
Technical Success ◽  
Local Tumor ◽  
Volumetric Assessment

Purpose. After radiofrequency ablation (RFA) of hepatocellular carcinoma (HCC), pre- and postinterventional contrast-enhanced CT (CECT) images are usually qualitatively interpreted to determine technical success, by eyeballing. The objective of this study was to evaluate the feasibility of quantitative assessment, using a nonrigid CT-CT coregistration algorithm. Materials and Methods. 25 patients treated with RFA for HCC between 2009 and 2014 were retrospectively included. Semiautomated coregistration of pre- and posttreatment CECT was performed independently by two radiologists. In scans with a reliable registration, the tumor and ablation area were delineated to identify the side and size of narrowest RFA margin. In addition, qualitative assessment was performed independently by two other radiologists to determine technical success and the anatomical side and size of narrowest margin. Interobserver agreement rates were determined for both methods, and the outcomes were compared with occurrence of local tumor progression (LTP). Results. CT-CT coregistration was technically feasible in 18/25 patients with almost perfect interobserver agreement for quantitative analysis (κ = 0.88). The interobserver agreement for qualitative RFA margin analysis was κ = 0.64. Using quantitative assessment, negative ablative margins were found in 12/18 patients, with LTP occurring in 8 of these patients. In the remaining 6 patients, quantitative analysis demonstrated complete tumor ablation and no LTP occurred. Conclusion. Feasibility of quantitative RFA margin assessment using nonrigid coregistration of pre- and postablation CT is limited, but appears to be a valuable tool in predicting LTP in HCC patients (p=0.013).

Quantitative assessment of the effect of glutathione S-transferase genes GSTM1 and GSTT1 on hepatocellular carcinoma risk

Tumor Biology ◽  
2014 ◽  
Vol 35 (5) ◽  
pp. 4007-4015 ◽  
Author(s):  
Ying-Hao Shen ◽  
Si Chen ◽  
Yuan-Fei Peng ◽  
Ying-Hong Shi ◽  
Xiao-Wu Huang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Quantitative Assessment ◽  
Glutathione S Transferase ◽  
Carcinoma Risk

scholarly journals Quantitative assessment of washout in hepatocellular carcinoma using MRI

BMC Cancer ◽  
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Roman Kloeckner ◽  
Daniel Pinto dos Santos ◽  
Karl-Friedrich Kreitner ◽  
Anne Leicher-Düber ◽  
Arndt Weinmann ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Quantitative Assessment
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