scholarly journals Reader Performance as a Function of Patient Size for the Detection of Hepatic Metastases

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Hao Gong ◽  
Lifeng Yu ◽  
Shuai Leng ◽  
Joel G. Fletcher ◽  
Cynthia H. McCollough
2001 ◽  
Vol 120 (5) ◽  
pp. A167-A167
Author(s):  
R ZIMMER ◽  
P THOMAS ◽  
N CLAPP ◽  
C STANNERS ◽  
M TOBI ◽  
...  

2013 ◽  
Vol 51 (01) ◽  
Author(s):  
A Koch ◽  
P Wild ◽  
M Kreutz ◽  
A Bosserhoff ◽  
C Hellerbrand

2019 ◽  
Author(s):  
V Kröpfl ◽  
F Primavesi ◽  
S Buxbaum ◽  
B Nilica ◽  
I Virgolini ◽  
...  

1975 ◽  
Vol 11 (1) ◽  
pp. 53
Author(s):  
MS Choi ◽  
CY Park ◽  
HS Yoo ◽  
BS Choi
Keyword(s):  

2013 ◽  
Author(s):  
Sanja Ognjanovic ◽  
Milan Petakov ◽  
Tatjana Isailovic ◽  
Valentina Elezovic ◽  
Djuro Macut ◽  
...  

1998 ◽  
Vol 39 (2) ◽  
pp. 161-166
Author(s):  
A. Sundin ◽  
C. Wang ◽  
A. Ericsson ◽  
A. -K. Fahlvik

2003 ◽  
Vol 181 (1) ◽  
pp. 282-282 ◽  
Author(s):  
Dimitrios Zonios ◽  
Maria Soula ◽  
Athanasios J. Archimandritis ◽  
Konstantinos Revenas

1983 ◽  
Vol 1 (11) ◽  
pp. 720-726 ◽  
Author(s):  
C J Lahr ◽  
S J Soong ◽  
G Cloud ◽  
J W Smith ◽  
M M Urist ◽  
...  

A multifactorial analysis was used to identify the dominant prognostic variables predicting survival rates of 175 patients with hepatic metastases from colorectal carcinoma. Seven of 22 parameters examined simultaneously were found to independently influence the median survival rate in these patients: (1) elevated alkaline phosphatase (p = 0.0004), (2) elevated serum bilirubin level (p = 0.0005), (3) location of hepatic metastases (unilateral or bilateral, p = 0.0022), (4) number of metastatic nodes involved (0, 1-5, greater than 5; p = 0.0148), (5) depressed serum albumin (p = 0.0217), (6) whether or not the primary colorectal tumor was resected (p = 0.0013), and (7) chemotherapy (given or withheld, p = 0.0439). The prothrombin time, serum lactic dehydrogenase, and the number of hepatic metastases also correlated with survival, but they did not independently predict survival rates after other more dominant factors were accounted for. A mathematical equation for predicting an individual patient's clinical course once they developed hepatic metastases was derived from this statistical analysis. In addition, a simple and clinically useful guide for predicting outcome was developed that integrated the two most important risk factors, alkaline phosphatase and bilirubin.


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