TY - JOUR
T1 - A scoring system to predict the development of bone metastasis after radical resection of colorectal cancer
AU - Li, Ang
AU - Käsmann, Lukas
AU - Rades, Dirk
AU - Fu, Chuangang
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/9
Y1 - 2017/9
N2 - Background/Aim: To develop a scoring system to predict bone metastasis after radical resection within 5 years. Patients and Methods: We evaluated the patient records of 1,749 patients, of whom 50 patients developed bone metastasis. Treatment-related factors (age, gender, localization, histology, preoperative carbohydrate antigen 199 level, T-stage, lymph node metastasis (LN) and pulmonary metastasis (PM)) were analyzed. Results: We found three independent risk factors, namely rectal cancer (p=0.038), LN (p=0.006) and metachronous PM (p<0.001). Scoring was conducted by adding zero or one point from each variable and resulted in four groups of 0, 1, 2 or 3 points. Three groups were formed, with 0-1 points vs. 2 points vs. 3 points (1.5% vs. 6.6% and 10.5%, p<0.001). Conclusion: This new score can help clinicians identify patients at risk for continuous monitoring and optimize surveillance to be able to detect and treat bone metastases very early in order to avoid skeletal complications.
AB - Background/Aim: To develop a scoring system to predict bone metastasis after radical resection within 5 years. Patients and Methods: We evaluated the patient records of 1,749 patients, of whom 50 patients developed bone metastasis. Treatment-related factors (age, gender, localization, histology, preoperative carbohydrate antigen 199 level, T-stage, lymph node metastasis (LN) and pulmonary metastasis (PM)) were analyzed. Results: We found three independent risk factors, namely rectal cancer (p=0.038), LN (p=0.006) and metachronous PM (p<0.001). Scoring was conducted by adding zero or one point from each variable and resulted in four groups of 0, 1, 2 or 3 points. Three groups were formed, with 0-1 points vs. 2 points vs. 3 points (1.5% vs. 6.6% and 10.5%, p<0.001). Conclusion: This new score can help clinicians identify patients at risk for continuous monitoring and optimize surveillance to be able to detect and treat bone metastases very early in order to avoid skeletal complications.
UR - http://www.scopus.com/inward/record.url?scp=85029417618&partnerID=8YFLogxK
U2 - 10.21873/anticanres.11938
DO - 10.21873/anticanres.11938
M3 - Journal articles
C2 - 28870950
AN - SCOPUS:85029417618
SN - 0250-7005
VL - 37
SP - 5169
EP - 5172
JO - Anticancer Research
JF - Anticancer Research
IS - 9
ER -